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MIT’s top research stories of 2021

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Despite the pandemic’s disruptions, MIT’s research community still found a way to generate a number of impressive research breakthroughs in 2021. In the spirit of reflection that comes with every new orbit around the sun, below we count down 10 of the most-viewed research stories on MIT News from the past year.

We’ve also rounded up the year’s top MIT community-related stories .

10. Giving cancer treatment a recharge . In October, researchers discovered a way to jump-start the immune system to attack tumors. The method combines chemotherapy and immunotherapy to spur immune cells into action. The researchers hope it could allow immunotherapy to be used against more types of cancer.

9. Generating 3D holograms in real-time . Computer scientists developed a deep-learning-based system that allows computers to create holograms almost instantly. The system could be used to create holograms for virtual reality, 3D printing, medical imaging, and more — and it’s efficient enough to run on a smartphone.

8. Creating inhalable vaccines . Scientists at the Koch Institute developed a method for delivering vaccines directly to the lungs through inhalation. The new strategy induced a strong immune response in the lungs of mice and could offer a quicker response to viruses that infect hosts through mucosal surfaces.

7. Assessing Covid-19 transmission risk . Two MIT professors proposed a new approach to estimating the risks of exposure to Covid-19 in different indoor settings. The guidelines suggest a limit for exposure based on factors such as the size of the space, the number of people, the kinds of activity, whether masks are worn, and ventilation and filtration rates.

6. Teaching machine learning models to adapt . Researchers in CSAIL developed a new type of neural network that can change its underlying equations to continuously adapt to new data. The advance could improve models’ decision-making based on data that changes over time, such as in medical diagnosis and autonomous driving.

5. Programming fibers . In June, a team created the first fabric fiber with digital capabilities. The fibers can sense, store, analyze, and infer data and activity after being sewn into a shirt. The researchers say the fibers could be used to monitor physical performance, to detect diseases, and for a variety of medical purposes.

4. Examining the limitations of data visualizations . A collaboration between anthropologists and computer scientists found that coronavirus skeptics have used sophisticated data visualizations to argue against public health orthodoxy like wearing a mask. The researchers concluded that data visualizations aren’t sufficient to convey the urgency of the Covid-19 pandemic because even the clearest graphs can be interpreted through a variety of belief systems.

3. Developing a Covid-detecting face mask . Engineers at MIT and Harvard University designed a prototype face mask that can diagnose the person wearing the mask with Covid-19 in about 90 minutes. The masks are embedded with tiny, disposable sensors that can be fitted into other face masks and could also be adapted to detect other viruses.

2. Confirming Hawking’s black hole theorem . Using observations of gravitational waves, physicists from MIT and elsewhere confirmed a major theorem created by Stephen Hawking in 1971. The theorem states that the area of a black hole’s event horizon — the boundary beyond which nothing can ever escape — will never shrink.

1. Advancing toward fusion energy . In September, researchers at MIT and the MIT spinout Commonwealth Fusion Systems ramped up a high-temperature superconducting electromagnet to a field strength of 20 tesla, the most powerful magnetic field of its kind ever created on Earth. The demonstration was three years in the making and is believed to resolve one of greatest remaining points of uncertainty in the quest to build the world’s first fusion power plant that produces more energy than it consumes.

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10 Breakthrough Technologies 2024

Every year, we look for promising technologies poised to have a real impact on the world. Here are the advances that we think matter most right now.

AI for everything

We now live in the age of AI. Hundreds of millions of people have interacted directly with generative tools like ChatGPT that produce text, images, videos, and more from prompts. Their popularity has reshaped the tech industry, making OpenAI a household name and compelling Google, Meta, and Microsoft to invest heavily in the technology.

Super-efficient solar cells

Solar power is being rapidly deployed around the world, and it’s key to global efforts to reduce carbon emissions. But most of the sunlight that hits today’s panels isn’t being converted into electricity. Adding a layer of tiny crystals could make solar panels more efficient.

Apple Vision Pro

Apple will start shipping its first mixed-reality headset, the Vision Pro, this year. Its killer feature is the highest-resolution display ever made for such a device. Will there be a killer app? It’s early, but the world’s most valuable company has made a bold bet that the answer is yes.

Subscribe & save for unlimited access to expert technology news and cutting-edge insights.

Weight-loss drugs.

The global rise in obesity has been called an epidemic by the World Health Organization. Medications like Mounjaro and Wegovy are now among the most powerful tools that patients and physicians have to treat it. Evidence suggests they can even protect against heart attacks and strokes.

Enhanced geothermal systems

Geothermal energy is clean, always available, and virtually limitless. However, because of engineering challenges, we have barely scratched the surface of what it can offer. New drilling techniques, which dig deeper and in places where we couldn’t before, are unleashing more of Earth’s heat to produce clean energy.

It’s getting devilishly hard to make transistors smaller—the trend that defines Moore’s Law and has driven progress in computing for decades. Engineers must now find new ways to make computers faster and more efficient. Chiplets are small, specialized chips that can be linked together to do everything a conventional chip does, and more.

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Something went wrong, try again., the first gene-editing treatment.

New treatments based on CRISPR have been in the works for years. In the final weeks of 2023, one from Vertex became the first to earn regulatory approval in both the UK and the US for its ability to cure sickle-cell disease, a life-threatening condition. It won’t be the last.

Exascale computers

The world’s fastest supercomputers can now perform more than an exaflop’s worth of calculations (that’s a 1 followed by 18 zeros). New machines that can crunch scientific data at these speeds will enable scientists to perform more sophisticated simulations of the climate, nuclear fission, turbulence, and more.

Don’t let the name fool you. Heat pumps are electric appliances that can both cool and heat buildings, and wider adoption could substantially reduce emissions. Sales have increased around the world; in the US, they have surpassed gas furnaces for the first time. New types that run at higher temperatures could help decarbonize industry, too.

Twitter killers

Elon Musk bought the site now known as X in 2022, and virtually nothing about it has been the same since. He fired most of the staff and dispensed with content moderation, scaring off advertisers and users alike. Now, as alternatives like Bluesky, Threads, and others gain ground, the central town square has given way to private rooms.

You voted for the 11th breakthrough

Learn about the winner

Thermal batteries.

Systems that store clean energy as heat could help decarbonize industry.

10 Breakthrough Technologies

Every year, the reporters and editors at MIT Technology Review survey the tech landscape and pick 10 technologies that we think have the greatest potential to change our lives in the years ahead. We consider advances in every field, from biotechnology and artificial intelligence to computing, robotics, and climate tech. This is the 23rd year we’ve published this list. Here’s what didn’t make the cut .

Editorial Special projects editor: Amy Nordrum Editing: Rachel Courtland, Niall Firth, Mary Beth Griggs, Mat Honan, Amy Nordrum Copy editing: Linda Lowenthal Engagement: Juliet Beauchamp, Abby Ivory-Ganja Fact checking: Helen Li Art Art direction: Stephanie Arnett Illustration: Simoul Alva, Jennifer Dionisio, Simon Landrein Technology Lead developer: Andre Vitorio Design: Vichhika Tep, Mariya Sitnova Product: Mariya Sitnova, Allison Chase CTO: Drake Martinet

Top 400 Information Technology Research Topics – Full Guide!

The field of IT is progressive and ever-changing due to the rapid development of hardware, software, and networking technologies. The demand for innovative research in IT has also continued to rise as businesses and organizations embrace digital systems and data-driven solutions. 

Understanding the salient areas of study in IT will help professionals keep up with changes that arise and enable organizations to leverage emerging technologies effectively. 

Cybersecurity, artificial intelligence, cloud computing , and big data analytics have emerged through IT research. These fundamental factors shape the modern technology landscape, giving rise to immense possibilities for boosting productivity, raising efficiency, and improving competitiveness across sectors. 

However, companies wanting to navigate the complexities of today’s digital age and exploit new technological advances must examine some of the latest IT research topics.

Understanding Information Technology Research

Table of Contents

In the world of technology, research is a compass that helps us navigate its convoluted evolutions. For instance, Information Technology (IT) research has been conducted in computer science, software engineering, data analytics, and cybersecurity.

IT research involves systematic inquiry to advance knowledge, problem-solving, and innovation. This includes conducting rigorous experiments and analyzing results to unveil new theories or approaches that improve technologies or bring breakthroughs.

Therefore, interdisciplinarity is at the core of IT research, with collaboration cutting across various disciplines. Whether using AI to reinforce cyber security or big data analytics in healthcare, collaboration leads to solutions to complex problems.

This is because IT research is changing rapidly due to technological advances. Thus, researchers need to be up-to-date to make meaningful contributions.

Ethics are involved so that technology can be responsibly deployed. The researchers grapple with privacy, security, bias, and equity issues to ensure technology benefits society.

As a result of this publication and conferences, which enable dissemination of findings, leading to further innovations, collaboration has supported progress, hence speeding it up.

Understanding IT research is vital for leveraging technology to address societal challenges and foster positive change.

Recommended Readings: “ Top 109+ Media Bias Research Topics | Full Guide! “.

Picking the Right Topic to Research: The Key to Finding New Things 

In the always-changing world of information technology, choosing the proper topic to research is like starting a smart path. It’s a big decision that sets where your hard work will go and how much your findings could mean.

Fitting with Industry Moves and Issues

Finding a research topic that fits current industry moves and big issues is important. By staying informed on the latest happenings and problems in the technology field, you can ensure your research stays useful and helps solve real-world troubles.

Growing Fresh Ideas and Practical Uses

Choosing a research topic that generates fresh ideas and practical applications is crucial. Your findings should not just add to school talks but also lead to real solutions that can be used in real situations, pushing technology forward and making work smoother.

Sparking Mind Curiosity and Excitement

Selecting a research topic that sparks your curiosity and excitement is essential. When you dive into an area that truly fascinates you, the research journey becomes more engaging, and your drive to uncover big insights is stronger.

Finding Gaps and Unexplored Areas

Finding gaps in existing knowledge or unexplored areas in the technology landscape can lead to big discoveries. Entering uncharted spaces can uncover fresh insights and meaningfully advance the field.

Considering Potential Wide Effect and Growth

Considering your research topic’s potential wide effect and growth is crucial. Will your findings have far-reaching effects across industries? Can your solutions grow and shift to address changing challenges? Evaluating these things can help you prioritize research areas with the greatest potential for big impact.

By carefully choosing the right research topic, you can open the door to discoveries, push technology forward, and contribute to the constant evolution of the technology information landscape.

Top 400 Information Technology Research Topics

The list of the top 400 information technology research topics is organized into different categories. Let’s examine it. 

Artificial Intelligence (AI) and Machine Learning (ML)

• Easy AI: Explaining and Using
• Group Learning: Getting Better Together
• AI in Health: Diagnosing and Helping
• Robots Learning on Their Own
• Being Fair with Computers
• Talking to Computers in Normal Language
• AI Fighting Bad Guys on the Internet
• AI Driving Cars: How Safe Is It?
• Sharing What We’ve Learned with Other Machines
• AI in Schools: Computers Learning About You

Cybersecurity and Encryption

• Trusting Computers: How to Stay Safe
• Keeping Secrets Safe with Fancy Math
• Secret Codes Computers Use: Safe or Not?
• Spy Games: Watching Out for Bad Stuff
• Keeping Secrets, Even from Friends
• Your Body as Your Password: Is It Safe?
• Fighting Against Computer Ransomers
• Keeping Your Secrets Secret, Even When Sharing
• Making Sure Your Smart Stuff Isn’t Spying on You
• Insuring Against Computer Bad Luck

Data Science and Big Data

• Sharing Secrets: How to Be Safe
• Watching the World in Real-Time
• Big Data: Big Computers Handling Big Jobs
• Making Data Pretty to Look At
• Cleaning Up Messy Data
• Predicting the Future with Numbers
• Finding Patterns in Connected Dots
• Keeping Your Secrets Safe in Big Data
• Sharing Our Secrets Without Telling Anyone
• Helping the Planet with Numbers

Cloud Computing

• Computers Without a Home: Where Do They Live?
• Keeping Computers Close to Home
• Moving Our Stuff to New Homes
• Juggling Many Clouds at Once
• Making Computers That Live in the Cloud
• Keeping Clouds Safe from Bad Guys
• Keeping Clouds Safe from Sneaky Spies
• Making Sure Clouds Do What They’re Supposed To
• Computers Need Energy Too!
• Making the Internet of Things Even Smarter

Internet of Things (IoT)

• Smart Stuff Everywhere: How Does It Work?
• Watching Out for Bad Stuff in Smart Things
• Smart Stuff: Is It Safe?
• Taking Care of Smart Toys
• Making Smart Things That Don’t Need Batteries
• Making Smart Factories Even Smarter
• Smart Cities: Making Cities Better Places to Live
• Your Clothes Can Be Smart, Too!
• Helping Farmers with Smart Farming
• Keeping Secrets Safe in Smart Stuff

Human-Computer Interaction (HCI)

• Magic Glasses: How Do They Work?
• Making Computers Easy to Use
• Making Computers for Everyone
• Talking to Computers with Your Hands
• Making Sure Computers Are Nice to People
• Talking to Computers with Your Voice
• Playing with Computers, You Can Touch
• Trusting Computers to Drive for Us
• Computers That Understand Different People
• Making Computers That Read Our Minds

Software Engineering

• Making Computers Work Together Smoothly
• Building Computers from Tiny Pieces
• Playing Games to Make Computers Better
• Making Sure Computers Work Right
• Making Old Computers New Again
• Making Computers Like to Exercise
• Making Computers Easier to Understand
• Building Computers with Blueprints
• Making Sure Computers Don’t Get Sick
• Sharing Computer Secrets with Everyone

Mobile Computing

• Keeping Phones Safe from Bad Guys
• Making Apps for Every Kind of Phone
• Keeping Phones Safe in the Cloud
• Finding Your Way with Your Phone
• Paying with Your Phone: Safe or Not?
• Checking Your Health with Your Phone
• Seeing the World Through Your Phone
• Wearing Your Phone on Your Wrist
• Learning on the Go with Your Phone
• Making Phones Even Smarter with Clouds

Networking and Communications

• Making Sure Computers Can Talk to Each Other
• Making Computers Work Together Without Wires
• Making the Internet Faster for Everyone
• Getting More Internet Addresses for More Computers
• Cutting the Internet into Pieces
• Making the Internet Even More Invisible
• Talking to Computers with Light
• Making Sure Tiny Computers Talk to Each Other
• Sending Messages Even When It’s Hard
• Making the Radio Smarter for Computers

Bioinformatics and Computational Biology

• Reading Your DNA with Computers
• Making Medicine Just for You
• Meeting the Microscopic World with Computers
• Building Computer Models of Living Things
• Finding New Medicine with Computers
• Building Computer Models of Tiny Machines
• Making Family Trees for Living Things
• Counting Germs with Computers
• Making Big Lists of Living Things
• Making Computers Think Like Brains

Quantum Computing

• Making Computers Better at Some Math Problems
• Keeping Computers Safe from Small Mistakes
• Making Computers Even Harder to Spy On
• Making Computers Learn Faster with Quantum Tricks
• Making Fake Worlds for Computers to Explore
• Building Computers from Super-Cold Stuff
• Making Computers Cold to Think Better
• Making Computers Think Like Chemists
• Making the Internet Even Safer with Computers
• Showing Off What Computers Can Do Best

Green Computing

• Saving Energy with Computers
• Using Wind and Sun to Power Computers
• Making Phones Last Longer Without Plugging In
• Making Computers Kinder to the Planet
• Recycling Old Computers to Save the Earth
• Computers That Care About Their Trash
• Saving Energy in Big Rooms Full of Computers
• Making Computers Save Energy and Work Faster
• Counting the Trash from Computers
• Making Computers Kinder to the Planet’s Air

Information Systems

• Making Computers Work Together in Big Companies
• Making Computers Remember Their Friends
• Making Computers Share What They Know
• Making Computers Smart About Money
• Making Computers Send Presents to Their Friends
• Helping Computers Make Big Decisions
• Making Government Computers Talk to Each Other
• Making Computers Count Likes and Shares
• Assisting computers to Find What You Asked For
• Assisting companies to Keep Their Friends Happy

Semantic Web and Linked Data

• Making Computers Understand Each Other Better
• Making Computers Talk About Themselves
• Making the Internet More Friendly for Computers
• Helping Computers Find What They Need
• Making Computers Smarter by Talking to Each Other
• Making Computers Friends with Different Languages
• Making Computers Understand Different Ideas
• Making Computers Think Like Us
• Making Computers Smarter About Old Stuff
• Making Computers Share Their Secrets Safely

Social Computing and Online Communities

• Making Friends on the Internet
• Getting Good Suggestions from the Internet
• Making Computers Work Together to Solve Problems
• Learning from Your Friends on the Internet
• Stopping Fake News on the Internet
• Knowing How People Feel on the Internet
• Helping Each Other on the Internet During Emergencies
• Making Sure Computers Are Nice to Everyone
• Keeping Secrets on the Internet
• Making the Internet a Better Place for Everyone

Game Development and Virtual Worlds

• Making Games That Play Fair
• Letting Computers Make Their Fun
• Making Fake Worlds for Fun
• Learning with Games
• Making the Rules for Fun
• Watching How People Play Together
• Seeing Things That Aren’t There
• Letting Lots of People Play Together
• Making the Engines for Fun
• Playing Games to Learn

E-Learning and Educational Technology

• Making Learning Easy for Everyone
• Taking Classes on the Internet
• Learning from Your Computer’s Teacher
• Learning from What Computers Know
• Learning Anywhere with Your Computer
• Making Learning Fun with Games
• Learning Without a Real Lab
• Learning with Free Stuff on the Internet
• Mixing School with Your Computer
• Making School More Fun with Your Computer

Digital Forensics and Incident Response

• Solving Computer Mysteries
• Looking for Clues in Computers
• Finding Bad Guys on the Internet
• Looking for Clues on Phones and Tablets
• Hiding Clues on Computers
• Helping When Computers Get Sick
• Solving Mysteries While the Computer Is On
• Finding Clues on Your Smart Watch
• Finding Tools for Finding Clues
• Following the Rules When Solving Mysteries

Wearable Technology and Smart Devices

• Keeping Healthy with Smart Watches
• Making Clothes That Talk to Computers
• Listening to the Earth with Your Shirt
• Wearing Glasses That Show Cool Stuff
• Making Your Home Smarter with Your Phone
• Using Your Body to Unlock Your Phone
• Helping People Move with Special Shoes
• Assisting people to See with Special Glasses
• Making Your Clothes Do More Than Keep You Warm
• Keeping Secrets Safe on Your Smart Stuff

Robotics and Automation

• Making Friends with Robots
• Letting Robots Do the Hard Work
• Robots That Work Together Like Ants
• Learning Tricks from People
• Robots That Feel Like Jelly
• Helping Doctors and Nurses with Robots
• Robots That Help Farmers Grow Food
• Making Cars Without People
• Teaching Robots to Recognize Things
• Robots That Learn from Animals

Health Informatics

• Computers That Help Doctors Keep Track of Patients
• Sharing Secrets About Your Health with Other Computers
• Seeing the Doctor on Your Computer
• Keeping Track of Your Health with Your Phone
• Making Medicine Better with Computers
• Keeping Your Health Secrets Safe with Computers
• Learning About Health with Computers
• Keeping Health Secrets Safe on the Internet
• Watching Out for Germs with Computers
• Making Sure the Doctor’s Computer Plays Nice

Geographic Information Systems (GIS)

• Watching the World Change with Computers
• Making Maps on the Internet
• Seeing the World from Very Far Away
• Finding Hidden Patterns with Computers
• Making Cities Better with Computers
• Keeping Track of the Earth with Computers
• Keeping Track of Wild Animals with Computers
• Making Maps with Everyone’s Help
• Seeing the World in 3D
• Finding Things on the Map with Your Phone

Knowledge Management

• Helping Computers Remember Things
• Making Computers Talk About What They Know
• Finding Secrets in Big Piles of Data
• Helping Companies Remember What They Know
• Sharing Secrets with Computers at Work
• Making Computers Learn from Each Other
• Making Computers Talk About Their Friends
• Making Companies Remember Their Secrets
• Keeping Track of What Companies Know

Computational Linguistics and Natural Language Processing (NLP)

• Finding Out How People Feel on the Internet
• Finding Names and Places in Stories
• Making Computers Talk to Each Other
• Making Computers Answer Questions
• Making Summaries for Busy People
• Making Computers Understand Stories
• Making Computers Understand Pictures and Sounds
• Making Computers Learn New Words
• Making Computers Remember What They Read
• Making Sure Computers Aren’t Mean to Anyone

Information Retrieval and Search Engines

• Finding Stuff on the Internet
• Getting Suggestions from the Internet
• Finding Stuff at Work
• Helping Computers Find Stuff Faster
• Making Computers Understand What You Want
• Finding Stuff on Your Phone
• Finding Stuff When You’re Moving
• Finding Stuff Near Where You Are
• Making Sure Computers Look Everywhere for What You Want

Computer Vision

• Finding Stuff in Pictures
• Cutting Up Pictures
• Watching Videos for Fun
• Learning from Lots of Pictures
• Making Pictures with Computers
• Finding Stuff That Looks Like Other Stuff
• Finding Secrets in Medical Pictures
• Finding Out If Pictures Are Real
• Looking at People’s Faces to Know Them

Quantum Information Science

• Making Computers Learn Faster with Tricks

Social Robotics

• Robots That Help People Who Have Trouble Talking
• Robots That Teach People New Things
• Making Robots Work with People
• Helping Kids Learn with Robots
• Making Sure Robots Aren’t Mean to Anyone
• Making Robots Understand How People Feel
• Making Friends with Robots from Different Places
• Making Sure Robots Respect Different Cultures
• Helping Robots Learn How to Be Nice

Cloud Robotics

• Making Robots Work Together from Far Away
• Making Robots Share Their Toys
• Making Robots Do Hard Jobs in Different Places
• Making Robots Save Energy
• Making Robots Play Together Nicely
• Making Robots Practice Being Together
• Making Sure Robots Play Fair
• Making Robots Follow the Rules

Cyber-Physical Systems (CPS)

• Making Robots Work Together with Other Things
• Keeping Robots Safe from Small Mistakes
• Keeping Factories Safe from Bad Guys
• Making Sure Robots Respect Different People
• Making Sure Robots Work Well with People
• Keeping Robots Safe from Bad Guys
• Making Sure Robots Follow the Rules

Biomedical Imaging

• Taking Pictures of Inside You with Computers
• Seeing Inside You with Computers
• Cutting Up Pictures of Inside You
• Finding Problems Inside You with Computers
• Cutting Up Pictures and Putting Them Together
• Counting Inside You with Pictures
• Making Pictures to Help Doctors
• Making Lists from Pictures Inside You
• Making Sure Pictures of You Are Safe

Remote Sensing

• Watching Earth from Far Away with Computers
• Making Pictures of Earth Change
• Taking Pictures from Very High Up
• Watching Crops Grow with Computers
• Watching Cities Grow with Computers
• Watching Earth Change with Computers
• Watching Earth from Far Away During Emergencies
• Making Computers Work Together to See Earth
• Putting Pictures of Earth Together
• Making Sure Pictures of Earth Are Safe

Cloud Gaming

• Playing Games from Far Away
• Making Games Work Faster from Far Away
• Keeping Games Safe from Bad Guys
• Making Sure Everyone Can Play Together
• Making Games Faster from Far Away
• Watching People Play Games from Far Away
• Making Sure Games Look Good from Far Away
• Watching Games Get More Popular

Augmented Reality (AR)

• Making Glasses That Show Cool Stuff
• Making Cool Stuff for Glasses to Show
• Watching Glasses Follow You
• Watching Phones Show Cool Stuff
• Making Cool Stuff to Show with Phones
• Making Places Even Better with Phones
• Making Factories Even Better with Glasses
• Making Places Even Better with Glasses
• Making Sure Glasses Don’t Scare Anyone

Virtual Reality (VR)

• Making Glasses That Show Different Worlds
• Making Glasses That Follow Your Hands
• Making Therapy Fun with Glasses
• Making Learning Fun with Glasses
• Making Glasses That Make Jobs Safer
• Making Glasses That Show Your Friends
• Making Sure Glasses Are Friendly
• Making Glasses That Make Buildings Better
• Making Sure Glasses Aren’t Scary

Digital Twins

• Making Computers That Copy the Real World
• Making People Better with Computers
• Making Flying Safer with Computers
• Making Cars Safer with Computers
• Making Energy Better with Computers
• Making Buildings Better with Computers
• Making Cities Safer with Computers
• Making Sure Computers Copy the Real World Safely
• Making Computers Follow the Rules

Edge Computing

• Making Computers Work Faster Near You
• Keeping Computers Safe Near You
• Making Computers Work with Far-Away Computers
• Making Computers Work Fast with You
• Making Computers Work Together Near You
• Making Phones Work Faster Near You
• Making Computers Work Near You
• Making Computers Work in Busy Places

Explainable AI (XAI)

• Making Computers Explain What They Do
• Making Medicine Safer with Computers
• Making Money Safer with Computers
• Making Computers Safe to Drive Cars
• Making Computers Fair to Everyone
• Making Computers Explain What They Think
• Making Computers Easy to Understand

Blockchain and Distributed Ledger Technology (DLT)

• Making Secret Codes Computers Use
• Making Contracts Computers Can Understand
• Making Computers Share Secrets Safely
• Making Money Safe with Computers
• Making Computers Work Together Nicely
• Making Computers Keep Secrets Safe
• Making Computers Work Together Fairly
• Making Stuff Move Safely with Computers

Quantum Communication

• Making Computers Talk to Each Other Safely
• Making Computers Talk to Each Other from Far Away
• Making Computers Talk to Each Other in Secret
• Making Money Move Safely with Computers

This list covers a broad spectrum of topics within Information Technology, ranging from foundational concepts to cutting-edge research areas. Feel free to choose any topic that aligns with your interests and expertise for further exploration and study!

Emerging Trends in Information Technology Research

In the rapidly changing world of Computer Studies, keeping up with the latest trends is indispensable. Technology keeps changing, and so does research in computer studies. From awesome things like clever robots to how we can safeguard our online information, computer studies research is always discovering new ways to improve our lives. Therefore, let us delve into some of the most exciting new trends shaping computer studies’ future.

• Smart Computers:

Right now, smart computers are a hot item. They can learn from experience, recognize patterns, and even understand language like humans do. This helps in many areas, such as healthcare or finance. So researchers are working on making smart computers smarter yet so that they can make decisions alone and be fair to everyone.

• Fast Computing:

As more devices connect to the Internet, we need ways to process information quickly. Fast computing helps bring processing power closer to where the information comes from, making things quicker and more efficient. Thus, researchers have been figuring out how to improve fast computing, especially for analyzing real-time data.

• Keeping Things Safe:

With all the cool tech around, keeping our information safe from bad guys is important. We must develop methods to safeguard our data and networks from cyber attackers. In addition, they have also been considering how to ensure the privacy of our personal information so that only authorized individuals can access it.

• Fancy Computers:

The next big thing in computing is quantum computers. They can do calculations at a high speed that ordinary ones cannot. Researchers are working hard to achieve quantum computing because it could be useful in cracking codes and creating new drugs.

• New Ways of Doing Things Together:

Blockchain is an exciting technology that allows us to collaborate without a central authority. Its use in cryptocurrencies is quite popular but it has other applications too. Blockchain can be applied for purposes such as helping us discover where products come from, proving who we are on the internet, and making contracts that cannot be changed later on.

• Virtual Reality Adventures:

Entering a completely different world is what Virtual Reality (VR) and Augmented Reality (AR) do. The feeling of being in reality is what these two technologies create, which is not real. These researchers are working hard on making VRs and ARs better so that they can be used for learning, training, and amusement in more innovative ways.

In summary, computer studies research keeps changing with new trends such as smart computers, rapid computing, cybersecurity issues, high-end computers, collaboration platforms and immersive games or virtual reality escapades. 

By exploring these trends and developing new ideas, researchers ensure that technology keeps improving and making our lives easier and more exciting.

How can I brainstorm research topics in information technology?

Start by identifying your areas of interest and exploring recent advancements in the field. Consider consulting with mentors or peers for suggestions and feedback.

What are some ethical considerations in AI research?

Ethical considerations in AI research include fairness, transparency, accountability, and privacy. Researchers should ensure their algorithms and models do not perpetuate bias or harm individuals.

How can I stay updated on emerging trends in IT research?

Follow reputable journals, conferences, and online forums dedicated to information technology. Engage with the academic community through discussions and networking events.

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Frontiers | Science News

• Science News

Research Topics

New communities in tech-driven science you'll want to be a part of.

This year, the scientific community is preparing to embark on a transformative journey as technologies like artificial intelligence (AI) propel humanity into new territories of innovation and knowledge.

In this context, we have compiled a list of 10 Research Topics that embrace the potential of technology to advance scientific breakthroughs and change the world for the better.

Researchers are exploring the possibilities of nanomedicine, deep learning, and genome-editing technologies to address genetic disorders, infectious diseases, and cancer.

These Research Topics are currently accepting contributions. Submit your research and help find solutions for healthy lives on a healthy planet.

Artificial intelligence

1 | artificial intelligence applications for cancer diagnosis in radiology.

Radiological images are common sources for cancer detection, but early signs are subtle, and treatable cancer is easy to miss in the early stages. Artificial intelligence has enormous prospects as an assistive tool to aid radiologists in cancer detection.

This Research Topic investigates the impact of novel AI applications using recent developments in computer vision, machine learning, and deep learning models for cancer detection, identification, and healthcare outcome improvements.

Manuscript submission deadline 28 April 2024

2 | The Applications of Artificial Intelligence for Innovation in Dentistry

The applications of AI in dentistry may open a new gate against challenging issues faced by clinicians and scientists in dental research.

All these opportunities have motivated the scientists leading this Research Topic to explore AI's opportunities in supporting dental medicine, including predicting the properties of dental materials and the optimum features of new dental materials.

Manuscript submission deadline 31 March 2024

Nanomedicine

3 | editor's challenge: dr. qingxin mu - how can nanomedicine approaches advance multi-targeting strategy in combination cancer therapy.

This Research Topic, led by Dr. Qingxin Mu and in collaboration with Dr. Marina Pinheiro, investigates the role of nanomedicine and nanotechnology in promoting multi-targeting strategies in combination cancer therapy.

Submissions closed

4 | Nanoparticles for Cancer Immunotherapy: from Basics to Clinics

Nanoparticles have been engineered to improve the delivery of a wide range of immunotherapies –including small drugs, nucleic acids, peptides, or antibodies– after intravenous administration towards tumor sites, but also for other routes of administration to improve their efficacy and safety.

Against this backdrop, we introduce a Research Topic covering how nanotechnology is used in cancer immunotherapy, investigations developing and evaluating new diagnostics, and therapeutic nanoparticles with the potential to improve the outcomes of patients with cancer.

Manuscript submission deadline 30 April 2024

Deep learning

5 | deep learning in molecular recognition.

Molecular recognition —the non-covalent interaction between multiple molecules— plays critical roles in many natural biological systems, such as DNA-protein, RNA-ribosome, enzyme-substrate, receptor-ligand, and antigen-antibody.

This Research Topic combines the latest developments and challenges in molecular recognition, employing deep learning techniques. It also focuses on applications such as drug discovery, protein-protein interaction prediction, and structural biology.

Manuscript submission deadline 26 April 2024

6 | Machine Learning and Deep Learning Applications in Pathogenic Microbiome Research

Machine learning and deep learning are powerful tools in advancing microbiome research.

For this Research Topic, scientists seek to advance machine learning studies – deep learning, in particular – to explore new techniques in pathogenic microbiome research. Their goal is to find relationships between microbiome, human health, and the environment by studying high-throughput sequencing data of microbes.

Manuscript submission deadline 07 March 2024

Genome-editing technologies

7 | crispr: the game changer in gene and cell therapy.

The advances in genome engineering technology have substantially accelerated the development of gene and cell therapy.

Notably, this Research Topic encourages novel CRISPR-based gene and cell therapy designs to improve treatment efficacy and safety for patients with genetic disorders, infectious diseases, and cancer.

8 | Precision Oncology in the Era of Crispr-Cas9 Technology

Precision medicine has been directly linked to advances in molecular biology techniques, mainly DNA sequencing. Oncology has benefited from these technologies to advance in early diagnosis and stratification of patients for personalized treatment.

All this potential has influenced this Research Topic, which focuses on CRISPR-Cas9 technology in preclinical settings, concentrating on precision medicine in oncology. The intention is to fill the gaps in correcting the defect and expanding knowledge in tumor suppression, metastasis, and mosaicism using mouse models.

Manuscript submission deadline 29 February 2024

Brain-inspired technologies

9 | neuromorphic computing: from emerging materials and devices to algorithms and implementation of neural networks inspired by brain neural mechanism.

Neuromorphic computing, inspired by brain neural and cognitive mechanisms, models information processing and is emerging with the promise of transforming information processing technology.

This untapped value has stirred up a Research Topic that focuses on providing different aspects of brain-inspired neuromorphic computing, from training algorithms for spiking neuron networks to hardware implementation of neuromorphic computing and the application of neuromorphic computing.

3D printing

10 | state-of-art of 3d printing and bioprinting technology in various domains of biomedicine, tissue engineering and regenerative medicine.

3D printing technology is an additive manufacturing process where biomaterials are used for various tissue engineering applications. Various materials are used to develop implants and constructs depending on the tissue engineering applications.

This Research Topic introduces the concept of 3D printing technology in biomedical applications for the scientific and technological communities. The team in charge of the research aims to enhance 3D printing technology studies for the benefit of biomedical engineers and scientists.

Manuscript submission deadline 06 March 2024

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Discover recent technology news articles on topics such as Nanotechnology ,  Artificial Intelligence , Biotechnology ,  Graphene , Green Tech , Battery Tech , Computer Tech , Engineering , and Fuel-cell Tech featuring research out of MIT , Cal Tech , Yale , Georgia Tech , Karlsruhe Tech , Vienna Tech , and Michigan Technological University . Discover the future of technology with SciTechDaily.

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McKinsey Technology Trends Outlook 2023

After a tumultuous 2022 for technology investment and talent, the first half of 2023 has seen a resurgence of enthusiasm about technology’s potential to catalyze progress in business and society. Generative AI deserves much of the credit for ushering in this revival, but it stands as just one of many advances on the horizon that could drive sustainable, inclusive growth and solve complex global challenges.

To help executives track the latest developments, the McKinsey Technology Council  has once again identified and interpreted the most significant technology trends unfolding today. While many trends are in the early stages of adoption and scale, executives can use this research to plan ahead by developing an understanding of potential use cases and pinpointing the critical skills needed as they hire or upskill talent to bring these opportunities to fruition.

Our analysis examines quantitative measures of interest, innovation, and investment to gauge the momentum of each trend. Recognizing the long-term nature and interdependence of these trends, we also delve into underlying technologies, uncertainties, and questions surrounding each trend. This year, we added an important new dimension for analysis—talent. We provide data on talent supply-and-demand dynamics for the roles of most relevance to each trend. (For more, please see the sidebar, “Research methodology.”)

New and notable

All of last year’s 14 trends remain on our list, though some experienced accelerating momentum and investment, while others saw a downshift. One new trend, generative AI, made a loud entrance and has already shown potential for transformative business impact.

Research methodology

To assess the development of each technology trend, our team collected data on five tangible measures of activity: search engine queries, news publications, patents, research publications, and investment. For each measure, we used a defined set of data sources to find occurrences of keywords associated with each of the 15 trends, screened those occurrences for valid mentions of activity, and indexed the resulting numbers of mentions on a 0–1 scoring scale that is relative to the trends studied. The innovation score combines the patents and research scores; the interest score combines the news and search scores. (While we recognize that an interest score can be inflated by deliberate efforts to stimulate news and search activity, we believe that each score fairly reflects the extent of discussion and debate about a given trend.) Investment measures the flows of funding from the capital markets into companies linked with the trend. Data sources for the scores include the following:

• Patents. Data on patent filings are sourced from Google Patents.
• Research. Data on research publications are sourced from the Lens (www.lens.org).
• News. Data on news publications are sourced from Factiva.
• Searches. Data on search engine queries are sourced from Google Trends.
• Investment. Data on private-market and public-market capital raises are sourced from PitchBook.
• Talent demand. Number of job postings is sourced from McKinsey’s proprietary Organizational Data Platform, which stores licensed, de-identified data on professional profiles and job postings. Data is drawn primarily from English-speaking countries.

In addition, we updated the selection and definition of trends from last year’s study to reflect the evolution of technology trends:

• The generative-AI trend was added since last year’s study.
• We adjusted the definitions of electrification and renewables (previously called future of clean energy) and climate technologies beyond electrification and renewables (previously called future of sustainable consumption).
• Data sources were updated. This year, we included only closed deals in PitchBook data, which revised downward the investment numbers for 2018–22. For future of space technologies investments, we used research from McKinsey’s Aerospace & Defense Practice.

This new entrant represents the next frontier of AI. Building upon existing technologies such as applied AI and industrializing machine learning, generative AI has high potential and applicability across most industries. Interest in the topic (as gauged by news and internet searches) increased threefold from 2021 to 2022. As we recently wrote, generative AI and other foundational models  change the AI game by taking assistive technology to a new level, reducing application development time, and bringing powerful capabilities to nontechnical users. Generative AI is poised to add as much as $4.4 trillion in economic value from a combination of specific use cases and more diffuse uses—such as assisting with email drafts—that increase productivity. Still, while generative AI can unlock significant value, firms should not underestimate the economic significance and the growth potential that underlying AI technologies and industrializing machine learning can bring to various industries.

Investment in most tech trends tightened year over year, but the potential for future growth remains high, as further indicated by the recent rebound in tech valuations. Indeed, absolute investments remained strong in 2022, at more than $1 trillion combined, indicating great faith in the value potential of these trends. Trust architectures and digital identity grew the most out of last year’s 14 trends, increasing by nearly 50 percent as security, privacy, and resilience become increasingly critical across industries. Investment in other trends—such as applied AI, advanced connectivity, and cloud and edge computing—declined, but that is likely due, at least in part, to their maturity. More mature technologies can be more sensitive to short-term budget dynamics than more nascent technologies with longer investment time horizons, such as climate and mobility technologies. Also, as some technologies become more profitable, they can often scale further with lower marginal investment. Given that these technologies have applications in most industries, we have little doubt that mainstream adoption will continue to grow.

Organizations shouldn’t focus too heavily on the trends that are garnering the most attention. By focusing on only the most hyped trends, they may miss out on the significant value potential of other technologies and hinder the chance for purposeful capability building. Instead, companies seeking longer-term growth should focus on a portfolio-oriented investment across the tech trends most important to their business. Technologies such as cloud and edge computing and the future of bioengineering have shown steady increases in innovation and continue to have expanded use cases across industries. In fact, more than 400 edge use cases across various industries have been identified, and edge computing is projected to win double-digit growth globally over the next five years. Additionally, nascent technologies, such as quantum, continue to evolve and show significant potential for value creation. Our updated analysis for 2023 shows that the four industries likely to see the earliest economic impact from quantum computing—automotive, chemicals, financial services, and life sciences—stand to potentially gain up to $1.3 trillion in value by 2035. By carefully assessing the evolving landscape and considering a balanced approach, businesses can capitalize on both established and emerging technologies to propel innovation and achieve sustainable growth.

Tech talent dynamics

We can’t overstate the importance of talent as a key source in developing a competitive edge. A lack of talent is a top issue constraining growth. There’s a wide gap between the demand for people with the skills needed to capture value from the tech trends and available talent: our survey of 3.5 million job postings in these tech trends found that many of the skills in greatest demand have less than half as many qualified practitioners per posting as the global average. Companies should be on top of the talent market, ready to respond to notable shifts and to deliver a strong value proposition to the technologists they hope to hire and retain. For instance, recent layoffs in the tech sector may present a silver lining for other industries that have struggled to win the attention of attractive candidates and retain senior tech talent. In addition, some of these technologies will accelerate the pace of workforce transformation. In the coming decade, 20 to 30 percent of the time that workers spend on the job could be transformed by automation technologies, leading to significant shifts in the skills required to be successful. And companies should continue to look at how they can adjust roles or upskill individuals to meet their tailored job requirements. Job postings in fields related to tech trends grew at a very healthy 15 percent between 2021 and 2022, even though global job postings overall decreased by 13 percent. Applied AI and next-generation software development together posted nearly one million jobs between 2018 and 2022. Next-generation software development saw the most significant growth in number of jobs (exhibit).

Image description:

Small multiples of 15 slope charts show the number of job postings in different fields related to tech trends from 2021 to 2022. Overall growth of all fields combined was about 400,000 jobs, with applied AI having the most job postings in 2022 and experiencing a 6% increase from 2021. Next-generation software development had the second-highest number of job postings in 2022 and had 29% growth from 2021. Other categories shown, from most job postings to least in 2022, are as follows: cloud and edge computing, trust architecture and digital identity, future of mobility, electrification and renewables, climate tech beyond electrification and renewables, advanced connectivity, immersive-reality technologies, industrializing machine learning, Web3, future of bioengineering, future of space technologies, generative AI, and quantum technologies.

End of image description.

This bright outlook for practitioners in most fields highlights the challenge facing employers who are struggling to find enough talent to keep up with their demands. The shortage of qualified talent has been a persistent limiting factor in the growth of many high-tech fields, including AI, quantum technologies, space technologies, and electrification and renewables. The talent crunch is particularly pronounced for trends such as cloud computing and industrializing machine learning, which are required across most industries. It’s also a major challenge in areas that employ highly specialized professionals, such as the future of mobility and quantum computing (see interactive).

Michael Chui is a McKinsey Global Institute partner in McKinsey’s Bay Area office, where Mena Issler is an associate partner, Roger Roberts  is a partner, and Lareina Yee  is a senior partner.

The authors wish to thank the following McKinsey colleagues for their contributions to this research: Bharat Bahl, Soumya Banerjee, Arjita Bhan, Tanmay Bhatnagar, Jim Boehm, Andreas Breiter, Tom Brennan, Ryan Brukardt, Kevin Buehler, Zina Cole, Santiago Comella-Dorda, Brian Constantine, Daniela Cuneo, Wendy Cyffka, Chris Daehnick, Ian De Bode, Andrea Del Miglio, Jonathan DePrizio, Ivan Dyakonov, Torgyn Erland, Robin Giesbrecht, Carlo Giovine, Liz Grennan, Ferry Grijpink, Harsh Gupta, Martin Harrysson, David Harvey, Kersten Heineke, Matt Higginson, Alharith Hussin, Tore Johnston, Philipp Kampshoff, Hamza Khan, Nayur Khan, Naomi Kim, Jesse Klempner, Kelly Kochanski, Matej Macak, Stephanie Madner, Aishwarya Mohapatra, Timo Möller, Matt Mrozek, Evan Nazareth, Peter Noteboom, Anna Orthofer, Katherine Ottenbreit, Eric Parsonnet, Mark Patel, Bruce Philp, Fabian Queder, Robin Riedel, Tanya Rodchenko, Lucy Shenton, Henning Soller, Naveen Srikakulam, Shivam Srivastava, Bhargs Srivathsan, Erika Stanzl, Brooke Stokes, Malin Strandell-Jansson, Daniel Wallance, Allen Weinberg, Olivia White, Martin Wrulich, Perez Yeptho, Matija Zesko, Felix Ziegler, and Delphine Zurkiya.

They also wish to thank the external members of the McKinsey Technology Council.

This interactive was designed, developed, and edited by McKinsey Global Publishing’s Nayomi Chibana, Victor Cuevas, Richard Johnson, Stephanie Jones, Stephen Landau, LaShon Malone, Kanika Punwani, Katie Shearer, Rick Tetzeli, Sneha Vats, and Jessica Wang.

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54 Most Interesting Technology Research Topics for 2023

May 30, 2023

Scrambling to find technology research topics for the assignment that’s due sooner than you thought? Take a scroll down these 54 interesting technology essay topics in 10 different categories, including controversial technology topics, and some example research questions for each.

Social technology research topics

Whether you have active profiles on every social media platform, you’ve taken a social media break, or you generally try to limit your engagement as much as possible, you probably understand how pervasive social technologies have become in today’s culture. Social technology will especially appeal to those looking for widely discussed, mainstream technology essay topics.

• How do viewers respond to virtual influencers vs human influencers? Is one more effective or ethical over the other?
• Across social media platforms, when and where is mob mentality most prevalent? How do the nuances of mob mentality shift depending on the platform or topic?
• Portable devices like cell phones, laptops, and tablets have certainly made daily life easier in some ways. But how have they made daily life more difficult?
• How does access to social media affect developing brains? And what about mature brains?
• Can dating apps alter how users perceive and interact with people in real life?
• Studies have proven “doomscrolling” to negatively impact mental health—could there ever be any positive impacts?

Cryptocurrency and blockchain technology research topics

Following cryptocurrency and blockchain technology has been a rollercoaster the last few years. And since Bitcoin’s conception in 2009, cryptocurrency has consistently showed up on many lists of controversial technology topics.

• Is it ethical for celebrities or influential people to promote cryptocurrencies or cryptographic assets like NFTs ?
• What are the environmental impacts of mining cryptocurrencies? Could those impacts ever change?
• How does cryptocurrency impact financial security and financial health?
• Could the privacy cryptocurrency offers ever be worth the added security risks?
• How might cryptocurrency regulations and impacts continue to evolve?
• Created to enable cryptocurrency, blockchain has since proven useful in several other industries. What new uses could blockchain have?

Artificial intelligence technology research topics

We started 2023 with M3GAN’s box office success, and now we’re fascinated (or horrified) with ChatGPT , voice cloning , and deepfakes . While people have discussed artificial intelligence for ages, recent advances have really pushed this topic to the front of our minds. Those searching for controversial technology topics should pay close attention to this one.

• OpenAI –the company behind ChatGPT–has shown commitment to safe, moderated AI tools that they hope will provide positive benefits to society. Sam Altman, their CEO, recently testified before a US Senate He described what AI makes possible and called for more regulation in the industry. But even with companies like OpenAI displaying efforts to produce safe AI and advocating for regulations, can AI ever have a purely positive impact? Are certain pitfalls unavoidable?
• In a similar vein, can AI ever actually be ethically or safely produced? Will there always be certain risks?
• How might AI tools impact society across future generations?
• Countless movies and television shows explore the idea of AI going wrong, going back all the way to 1927’s Metropolis . What has a greater impact on public perception—representations in media or industry developments? And can public perception impact industry developments and their effectiveness?

Beauty and anti-aging technology 

Throughout human history, people in many cultures have gone to extreme lengths to capture and maintain a youthful beauty. But technology has taken the pursuit of beauty and youth to another level. For those seeking technology essay topics that are both timely and timeless, this one’s a gold mine.

• With augmented reality technology, companies like Perfect allow app users to virtually try on makeup, hair color, hair accessories, and hand or wrist accessories. Could virtual try-ons lead to a somewhat less wasteful beauty industry? What downsides should we consider?
• Users of the Perfect app can also receive virtual diagnoses for skin care issues and virtually “beautify” themselves with smoothed skin, erased blemishes, whitened teeth, brightened under-eye circles, and reshaped facial structures. How could advancements in beauty and anti-aging technology affect self-perception and mental health?
• What are the best alternatives to animal testing within the beauty and anti-aging industry?
• Is anti-aging purely a cosmetic pursuit? Could anti-aging technology provide other benefits?
• Could people actually find a “cure” to aging? And could a cure to aging lead to longer lifespans?
• How might longer human lifespans affect the Earth?

Geoengineering technology research topics

An umbrella term, geoengineering refers to large-scale technologies that can alter the earth and its climate. Typically, these types of technologies aim to combat climate change. Those searching for controversial technology topics should consider looking into this one.

• What benefits can solar geoengineering provide? Can they outweigh the severe risks?
• Compare solar geoengineering methods like mirrors in space, stratospheric aerosol injection, marine cloud brightening, and other proposed methods. How have these methods evolved? How might they continue to evolve?
• Which direct air capture methods are most sustainable?
• How can technology contribute to reforestation efforts?
• What are the best uses for biochar? And how can biochar help or harm the earth?
• Out of all the carbon geoengineering methods that exist or have been proposed, which should we focus on the most?

Creative and performing arts technology topics

While tensions often arise between artists and technology, they’ve also maintained a symbiotic relationship in many ways. It’s complicated. But of course, that’s what makes it interesting. Here’s another option for those searching for timely and timeless technology essay topics.

• How has the relationship between art and technology evolved over time?
• How has technology impacted the ways people create art? And how has technology impacted the ways people engage with art?
• Technology has made creating and viewing art widely accessible. Does this increased accessibility change the value of art? And do we value physical art more than digital art?
• Does technology complement storytelling in the performing arts? Or does technology hinder storytelling in the performing arts?
• Which current issues in the creative or performing arts could potentially be solved with technology?

Cellular agriculture technology research topics

And another route for those drawn to controversial technology topics: cellular agriculture. You’ve probably heard about popular plant-based meat options from brands like Impossible and Beyond Meat . While products made with cellular agriculture also don’t require the raising and slaughtering of livestock, they are not plant-based. Cellular agriculture allows for the production of animal-sourced foods and materials made from cultured animal cells.

• Many consumers have a proven bias against plant-based meats. Will that same bias extend to cultured meat, despite cultured meat coming from actual animal cells?
• Which issues can arise from patenting genes?
• Does the animal agriculture industry provide any benefits that cellular agriculture may have trouble replicating?
• How might products made with cellular agriculture become more affordable?
• Could cellular agriculture conflict with the notion of a “ circular bioeconomy ?” And should we strive for a circular bioeconomy? Can we create a sustainable relationship between technology, capitalism, and the environment, with or without cellular agriculture?

Transportation technology research topics

For decades, we’ve expected flying cars to carry us into a techno-utopia, where everything’s shiny, digital, and easy. We’ve heard promises of super fast trains that can zap us across the country or even across the world. We’ve imagined spring breaks on the moon, jet packs, and teleportation. Who wouldn’t love the option to go anywhere, anytime, super quickly? Transportation technology is another great option for those seeking widely discussed, mainstream technology essay topics.

• Once upon a time, Lady Gaga was set to perform in space as a promotion for Virgin Galactic . While Virgin Galactic never actually launched the iconic musician/actor, soon, they hope to launch their first commercial flight full of civilians–who paid $450,000 a pop–on a 90-minute trip into the stars. And if you think that’s pricey, SpaceX launched three businessmen into space for $55 million in April, 2022 (though with meals included, this is actually a total steal). So should we be launching people into space just for fun? What are the impacts of space tourism?
• Could technology improve the way hazardous materials get transported?
• How can the 5.9 GHz Safety Band affect drivers?
• Which might be safer: self-driving cars or self-flying airplanes?
• Compare hyperloop and maglev Which is better and why?
• Can technology improve safety for cyclists?

Gaming technology topics

A recent study involving over 2000 children found links between video game play and enhanced cognitive abilities. While many different studies have found the impacts of video games to be positive or neutral, we still don’t fully understand the impact of every type of video game on every type of brain. Regardless, most people have opinions on video gaming. So this one’s for those seeking widely discussed, mainstream, and controversial technology topics.

• Are different types or genres of video games more cognitively beneficial than others? Or are certain gaming consoles more cognitively beneficial than others?
• How do the impacts of video games differ from other types of games, such as board games or puzzles?
• What ethical challenges and safety risks come with virtual reality gaming?
• How does a player perceive reality during a virtual reality game compared to during other types of video games?
• Can neurodivergent brains benefit from video games in different ways than neurotypical brains?

Medical technology 

Advancements in healthcare have the power to change and save lives. In the last ten years, countless new medical technologies have been developed, and in the next ten years, countless more will likely emerge. Always relevant and often controversial, this final technology research topic could interest anyone.

• Which ethical issues might arise from editing genes using CRISPR-Cas9 technology? And should this technology continue to be illegal in the United States?
• How has telemedicine impacted patients and the healthcare they receive?
• Can neurotechnology devices potentially affect a user’s agency, identity, privacy, and/or cognitive liberty?
• How could the use of medical 3-D printing continue to evolve?
• Are patients more likely to skip digital therapeutics than in-person therapeutic methods? And can the increased screen-time required by digital therapeutics impact mental health

What do you do next?

Now that you’ve picked from this list of technology essay topics, you can do a deep dive and immerse yourself in new ideas, new information, and new perspectives. And of course, now that these topics have motivated you to change the world, look into the best computer science schools , the top feeders to tech and Silicon Valley , the best summer programs for STEM students , and the best biomedical engineering schools .

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Mariya holds a BFA in Creative Writing from the Pratt Institute and is currently pursuing an MFA in writing at the University of California Davis. Mariya serves as a teaching assistant in the English department at UC Davis. She previously served as an associate editor at Carve Magazine for two years, where she managed 60 fiction writers. She is the winner of the 2015 Stony Brook Fiction Prize, and her short stories have been published in Mid-American Review , Cutbank , Sonora Review , New Orleans Review , and The Collagist , among other magazines.

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• Teens, Social Media and Technology 2022

TikTok has established itself as one of the top online platforms for U.S. teens, while the share of teens who use Facebook has fallen sharply

Table of contents.

• Acknowledgments
• Methodology

Pew Research Center conducted this study to better understand teens’ use of digital devices, social media and other online platforms. For this analysis, we surveyed 1,316 U.S. teens. The survey was conducted online by Ipsos from April 14 to May 4, 2022.

This research was reviewed and approved by an external institutional review board (IRB), Advarra, which is an independent committee of experts that specializes in helping to protect the rights of research participants.

Ipsos recruited the teens via their parents who were a part of its KnowledgePanel , a probability-based web panel recruited primarily through national, random sampling of residential addresses. The survey is weighted to be representative of U.S. teens ages 13 to 17 who live with parents by age, gender, race, ethnicity, household income and other categories.

The trend data in this report comes from a Center survey on the same topic conducted from Sept. 25, 2014, to Oct. 9, 2014, and from Feb. 10, 2015, to March 16, 2015. The survey was fielded by the GfK Group on its KnowledgePanel, which was later acquired by Ipsos .

Here are the  questions used for this report , along with responses, and its  methodology .

For the latest survey data on social media and tech use among teens, see “ Teens, Social Media, and Technology 2023 .” 

The landscape of social media is ever-changing, especially among teens who often are on the leading edge of this space. A new Pew Research Center survey of American teenagers ages 13 to 17 finds TikTok has rocketed in popularity since its North American debut several years ago and now is a top social media platform for teens among the platforms covered in this survey. Some 67% of teens say they ever use TikTok, with 16% of all teens saying they use it almost constantly. Meanwhile, the share of teens who say they use Facebook, a dominant social media platform among teens in the Center’s 2014-15 survey , has plummeted from 71% then to 32% today.

YouTube tops the 2022 teen online landscape among the platforms covered in the Center’s new survey, as it is used by 95% of teens. TikTok is next on the list of platforms that were asked about in this survey (67%), followed by Instagram and Snapchat, which are both used by about six-in-ten teens. After those platforms come Facebook with 32% and smaller shares who use Twitter, Twitch, WhatsApp, Reddit and Tumblr. 1

Changes in the social media landscape since 2014-15 extend beyond TikTok’s rise and Facebook’s fall. Growing shares of teens say they are using Instagram and Snapchat since then. Conversely, Twitter and Tumblr saw declining shares of teens who report using their platforms. And two of the platforms the Center tracked in the earlier survey – Vine and Google+ – no longer exist.

There are some notable demographic differences in teens’ social media choices. For example, teen boys are more likely than teen girls to say they use YouTube, Twitch and Reddit, whereas teen girls are more likely than teen boys to use TikTok, Instagram and Snapchat. In addition, higher shares of Black and Hispanic teens report using TikTok, Instagram, Twitter and WhatsApp compared with White teens. 2

This study also explores the frequency with which teens are on each of the top five online platforms: YouTube, TikTok, Instagram, Snapchat and Facebook. Fully 35% of teens say they are using at least one of them “almost constantly.” Teen TikTok and Snapchat users are particularly engaged with these platforms, followed by teen YouTube users in close pursuit. A quarter of teens who use Snapchat or TikTok say they use these apps almost constantly, and a fifth of teen YouTube users say the same. When looking at teens overall, 19% say they use YouTube almost constantly, 16% say this about TikTok, and 15% about Snapchat.

When reflecting on the amount of time they spend on social media generally, a majority of U.S. teens (55%) say they spend about the right amount of time on these apps and sites, while about a third of teens (36%) say they spend too much time on social media. Just 8% of teens think they spend too little time on these platforms.

Asked about the idea of giving up social media, 54% of teens say it would be at least somewhat hard to give it up, while 46% say it would be at least somewhat easy. Teen girls are more likely than teen boys to express it would be difficult to give up social media (58% vs. 49%). Conversely, a quarter of teen boys say giving up social media would be very easy, while 15% of teen girls say the same. Older teens also say they would have difficulty giving up social media. About six-in-ten teens ages 15 to 17 (58%) say giving up social media would be at least somewhat difficult to do. A smaller share of 13- to 14-year-olds (48%) think this would be difficult.

Beyond just online platforms, the new survey finds that the vast majority of teens have access to digital devices, such as smartphones (95%), desktop or laptop computers (90%) and gaming consoles (80%). And the study shows there has been an uptick in daily teen internet users, from 92% in 2014-15 to 97% today. In addition, the share of teens who say they are online almost constantly has roughly doubled since 2014-15 (46% now and 24% then).

These are some of the findings from an online survey of 1,316 teens conducted by the Pew Research Center from April 14 to May 4, 2022. More details about the findings on adoption and use of digital technologies by teens are covered below.

Smartphones, desktop and laptop computers, and gaming consoles remain widely accessible to teens

Since 2014-15, there has been a 22 percentage point rise in the share of teens who report having access to a smartphone (95% now and 73% then). While teens’ access to smartphones has increased over roughly the past eight years, their access to other digital technologies, such as desktop or laptop computers or gaming consoles, has remained statistically unchanged.

The survey shows there are differences in access to these digital devices for certain groups. For instance, teens ages 15 to 17 (98%) are more likely to have access to a smartphone than their 13- to 14-year-old counterparts (91%). In addition, teen boys are 21 points more likely to say they have access to gaming consoles than teen girls – a pattern that has been reported in prior Center research . 3

Access to computers and gaming consoles also differs by teens’ household income. U.S. teens living in households that make $75,000 or more annually are 12 points more likely to have access to gaming consoles and 15 points more likely to have access to a desktop or laptop computer than teens from households with incomes under $30,000. These gaps in teen computer and gaming console access are consistent with digital divides by household income the Center has observed in previous teen surveys.

While 72% of U.S. teens say they have access to a smartphone, a computer and a gaming console at home, more affluent teens are particularly likely to have access to all three devices. Fully 76% of teens that live in households that make at least $75,000 a year say they have or have access to a smartphone, a gaming console and a desktop or laptop computer, compared with smaller shares of teens from households that make less than $30,000 or teens from households making $30,000 to $74,999 a year who say they have access to all three (60% and 69% of teens, respectively).

Almost all U.S. teens report using the internet daily

The share of teens who say they use the internet about once a day or more has grown slightly since 2014-15. Today, 97% of teens say they use the internet daily, compared with 92% of teens in 2014-15 who said the same.

In addition, the share of teens who say they use the internet almost constantly has gone up: 46% of teens say they use the internet almost constantly, up from only about a quarter (24%) of teenagers who said the same in 2014-15.

Black and Hispanic teens stand out for being on the internet more frequently than White teens. Some 56% of Black teens and 55% of Hispanic teens say they are online almost constantly, compared with 37% of White teens. The difference between Hispanic and White teens on this measure is consistent with previous findings when it comes to frequent internet use .

In addition, older teens are more likely to be online almost constantly. Some 52% of 15- to 17-year-olds say they use the internet almost constantly, while 36% of 13- to 14-year-olds say the same. Another demographic pattern in “almost constant” internet use: 53% of urban teens report being online almost constantly, while somewhat smaller shares of suburban and rural teens say the same (44% and 43%, respectively).

Slight differences are seen among those who say they engage in “almost constant” internet use based on household income. A slightly larger share of teens from households making $30,000 to $74,999 annually report using the internet almost constantly, compared with teens from homes making at least $75,000 (51% and 43%, respectively). Teens who live in households making under $30,000 do not significantly differ from either group.

The social media landscape has shifted

This survey asked whether U.S. teens use 10 specific online platforms: YouTube, TikTok, Instagram, Snapchat, Facebook, Twitter, Twitch, WhatsApp, Reddit and Tumblr.

YouTube stands out as the most common online platform teens use out of the platforms measured, with 95% saying they ever use this site or app. Majorities also say they use TikTok (67%), Instagram (62%) and Snapchat (59%). Instagram and Snapchat use has grown since asked about in 2014-15, when roughly half of teens said they used Instagram (52%) and about four-in-ten said they used Snapchat (41%).

The share of teens using Facebook has declined sharply in the past decade. Today, 32% of teens report ever using Facebook, down 39 points since 2014-15, when 71% said they ever used the platform. Although today’s teens do not use Facebook as extensively as teens in previous years, the platform still enjoys widespread usage among adults, as seen in other recent Center studies .

Other social media platforms have also seen decreases in usage among teens since 2014-15. Some 23% of teens now say they ever use Twitter, compared with 33% in 2014-15. Tumblr has seen a similar decline. While 14% of teens in 2014-15 reported using Tumblr, just 5% of teens today say they use this platform.

The online platforms teens flock to differ slightly based on gender. Teen girls are more likely than teen boys to say they ever use TikTok, Instagram and Snapchat, while boys are more likely to use Twitch and Reddit. Boys also report using YouTube at higher rates than girls, although the vast majority of teens use this platform regardless of gender.

Teens’ use of certain online platforms also differs by race and ethnicity. Black and Hispanic teens are more likely than White teens to say they ever use TikTok, Instagram, Twitter or WhatsApp. Black teens also stand out for being more likely to use TikTok compared with Hispanic teens, while Hispanic teens are more likely than their peers to use WhatsApp.

Older teens are more likely than younger teens to say they use each of the online platforms asked about except for YouTube and WhatsApp. Instagram is an especially notable example, with a majority of teens ages 15 to 17 (73%) saying they ever use Instagram, compared with 45% of teens ages 13 to 14 who say the same (a 28-point gap).

Despite Facebook losing its dominance in the social media world with this new cohort of teens, higher shares of those living in lower- and middle-income households gravitate toward Facebook than their peers who live in more affluent households: 44% of teens living in households earning less than $30,000 a year and 39% of teens from households earning $30,000 to less than $75,000 a year say they ever use Facebook, while 27% of those from households earning $75,000 or more a year say the same. Differences in Facebook use by household income were found in previous Center surveys as well (however the differences by household income were more pronounced in the past).

When it comes to the frequency that teens use the top five platforms the survey looked at, YouTube and TikTok stand out as the platforms teens use most frequently. About three-quarters of teens visit YouTube at least daily, including 19% who report using the site or app almost constantly. A majority of teens (58%) visit TikTok daily, while about half say the same for Snapchat (51%) and Instagram (50%).

Looking within teens who use a given platform, TikTok and Snapchat stand out for having larger shares of teenage users who visit these platforms regularly. Fully 86% of teen TikTok or Snapchat users say they are on that platform daily and a quarter of teen users for both of these platforms say they are on the site or app almost constantly. Somewhat smaller shares of teen YouTube users (20%) and teen Instagram users (16%) say they are on those respective platforms almost constantly (about eight-in-ten teen users are on these platforms daily).

Not only is there a smaller share of teenage Facebook users than there was in 2014-15, teens who do use Facebook are also relatively less frequent users of the platform compared with the other platforms covered in this survey. Just 7% of teen Facebook users say they are on the site or app almost constantly (representing 2% of all teens). Still, about six-in-ten teen Facebook users (57%) visit the platform daily.

Across these five platforms, 35% of all U.S. teens say they are on at least one of them almost constantly. While this is not a comprehensive rundown of all teens who use any kind of online platform almost constantly, this 35% of teens represent a group of relatively heavy platform users and they clearly have different views about their use of social media compared with those who say they use at least one of these platforms, though less often than “almost constantly.” Those findings are covered in a later section.

Larger shares of Black and Hispanic teens say they are on TikTok, YouTube and Instagram almost constantly than White teens. For example, Black and Hispanic teens are roughly five times more likely than White teens to say they are on Instagram almost constantly.

Hispanic teens are more likely to be frequent users of Snapchat than White or Black teens: 23% of Hispanic teens say they use this social media platform almost constantly, while 12% of White teens and 11% of Black teens say the same. There are no racial and ethnic differences in teens’ frequency of Facebook usage.

Overall, Hispanic (47%) and Black teens (45%) are more likely than White teens (26%) to say they use at least one of these five online platforms almost constantly.

Slight majorities of teens see the amount of time they spend on social media as about right and say it would be hard to give up

As social media use has become a common part of many teens’ daily routine, the Center asked U.S. teens how they feel about the amount of time they are spending on social media. A slight majority (55%) say the amount of time they spend of social media is about right, and smaller shares say they spend too much time or too little time on these platforms.

While a majority of teen boys and half of teen girls say they spend about the right amount of time on social media, this sentiment is more common among boys. Teen girls are more likely than their male counterparts to say they spend too much time on social media. In addition, White teens are more likely to see their time using social media as about right compared with Hispanic teens. Black teens do not differ from either group.

This analysis also explored how teens who frequently use these platforms may feel about their time on them and how those feelings may differ from teens who use these sites and apps less frequently. To do this, two groups were constructed. The first group is the 35% of teens who say they use at least one of the five platforms this survey covered – YouTube, TikTok, Instagram, Snapchat or Facebook – almost constantly. The other group consists of teens who say they use these platforms but not as frequently – that is, they use at least one of these five platforms but use them less often than “almost constantly.”

When asked how they feel about the time they spend on social media, 53% of teens who almost constantly use at least one of the platforms say they are on social media too much, while about three-in-ten teens (28%) who use at least one of these platforms but less often say the same.

Teens who are almost constantly online – not just on social media – also stand out for saying they spend too much time on social media: 51% say they are on social media too much. By comparison, 26% of teens who are online several times a day say they are on social media too much.

When reflecting on what it would be like to try to quit social media, teens are somewhat divided whether this would be easy or difficult. Some 54% of U.S. teens say it would be very (18%) or somewhat hard (35%) for them to give up social media. Conversely, 46% of teens say it would be at least somewhat easy for them to give up social media, with a fifth saying it would be very easy.

Teenage girls are slightly more likely to say it would be hard to give up social media than teen boys (58% vs. 49%). A similar gap is seen between older and younger teens, with teens 15 to 17 years old being more likely than 13- and 14-year-olds to say it would be at least somewhat hard to give up social media.

A majority of teens who use at least one of the platforms asked about in the survey “almost constantly” say it would be hard to give up social media, with 32% saying it would be very hard. Smaller shares of teens who use at least one of these online platforms but use them less often say the same.

The teens who think they spend too much time on social media also report they would struggle to step back completely from it. Teens who say they spend too much time on social media are 36 percentage points more likely than teens who see their usage as about right to say giving up social media would be hard (78% vs. 42%). In fact, about three-in-ten teens who say they use social media too much (29%) say it would be very hard for them to give up social media. Conversely, a majority of teens who see their social media usage as about right (58%) say that it would be at least somewhat easy for them to give it up.

• A 2018 Center survey also asked U.S. teens about their technology adoption and usage. Direct comparisons cannot be made across the two surveys due to differences in the ways the surveys were conducted. ↩
• There were not enough Asian American respondents in the sample to be broken out into a separate analysis. As always, their responses are incorporated into the general population figures throughout the report. ↩
• A 2018 Center survey also asked U.S teens about their video gaming habits. Direct comparisons cannot be made across the two surveys due to differences in the ways the surveys were conducted. Still, there are common patterns between the two separate surveys; for example, teen boys were more likely to report access to a gaming console or that they play video games than teen girls. ↩

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The world now invests almost twice as much in clean energy as it does in fossil fuels…, global investment in clean energy and fossil fuels, 2015-2024, …but there are major imbalances in investment, and emerging market and developing economies (emde) outside china account for only around 15% of global clean energy spending, annual investment in clean energy by selected country and region, 2019 and 2024, investment in solar pv now surpasses all other generation technologies combined, global annual investment in solar pv and other generation technologies, 2021-2024, the integration of renewables and upgrades to existing infrastructure have sparked a recovery in spending on grids and storage, investment in power grids and storage by region 2017-2024, rising investments in clean energy push overall energy investment above usd 3 trillion for the first time.

Global energy investment is set to exceed USD 3 trillion for the first time in 2024, with USD 2 trillion going to clean energy technologies and infrastructure. Investment in clean energy has accelerated since 2020, and spending on renewable power, grids and storage is now higher than total spending on oil, gas, and coal.

As the era of cheap borrowing comes to an end, certain kinds of investment are being held back by higher financing costs. However, the impact on project economics has been partially offset by easing supply chain pressures and falling prices. Solar panel costs have decreased by 30% over the last two years, and prices for minerals and metals crucial for energy transitions have also sharply dropped, especially the metals required for batteries.

The annual World Energy Investment report has consistently warned of energy investment flow imbalances, particularly insufficient clean energy investments in EMDE outside China. There are tentative signs of a pick-up in these investments: in our assessment, clean energy investments are set to approach USD 320 billion in 2024, up by more 50% since 2020. This is similar to the growth seen in advanced economies (+50%), although trailing China (+75%). The gains primarily come from higher investments in renewable power, now representing half of all power sector investments in these economies. Progress in India, Brazil, parts of Southeast Asia and Africa reflects new policy initiatives, well-managed public tenders, and improved grid infrastructure. Africa’s clean energy investments in 2024, at over USD 40 billion, are nearly double those in 2020.

Yet much more needs to be done. In most cases, this growth comes from a very low base and many of the least-developed economies are being left behind (several face acute problems servicing high levels of debt). In 2024, the share of global clean energy investment in EMDE outside China is expected to remain around 15% of the total. Both in terms of volume and share, this is far below the amounts that are required to ensure full access to modern energy and to meet rising energy demand in a sustainable way.

Power sector investment in solar photovoltaic (PV) technology is projected to exceed USD 500 billion in 2024, surpassing all other generation sources combined. Though growth may moderate slightly in 2024 due to falling PV module prices, solar remains central to the power sector’s transformation. In 2023, each dollar invested in wind and solar PV yielded 2.5 times more energy output than a dollar spent on the same technologies a decade prior.

In 2015, the ratio of clean power to unabated fossil fuel power investments was roughly 2:1. In 2024, this ratio is set to reach 10:1. The rise in solar and wind deployment has driven wholesale prices down in some countries, occasionally below zero, particularly during peak periods of wind and solar generation. This lowers the potential for spot market earnings for producers and highlights the need for complementary investments in flexibility and storage capacity.

Investments in nuclear power are expected to pick up in 2024, with its share (9%) in clean power investments rising after two consecutive years of decline. Total investment in nuclear is projected to reach USD 80 billion in 2024, nearly double the 2018 level, which was the lowest point in a decade.

Grids have become a bottleneck for energy transitions, but investment is rising. After stagnating around USD 300 billion per year since 2015, spending is expected to hit USD 400 billion in 2024, driven by new policies and funding in Europe, the United States, China, and parts of Latin America. Advanced economies and China account for 80% of global grid spending. Investment in Latin America has almost doubled since 2021, notably in Colombia, Chile, and Brazil, where spending doubled in 2023 alone. However, investment remains worryingly low elsewhere.

Investments in battery storage are ramping up and are set to exceed USD 50 billion in 2024. But spending is highly concentrated. In 2023, for every dollar invested in battery storage in advanced economies and China, only one cent was invested in other EMDE.

Investment in energy efficiency and electrification in buildings and industry has been quite resilient, despite the economic headwinds. But most of the dynamism in the end-use sectors is coming from transport, where investment is set to reach new highs in 2024 (+8% compared to 2023), driven by strong electric vehicle (EV) sales.

The rise in clean energy spending is underpinned by emissions reduction goals, technological gains, energy security imperatives (particularly in the European Union), and an additional strategic element: major economies are deploying new industrial strategies to spur clean energy manufacturing and establish stronger market positions. Such policies can bring local benefits, although gaining a cost-competitive foothold in sectors with ample global capacity like solar PV can be challenging. Policy makers need to balance the costs and benefits of these programmes so that they increase the resilience of clean energy supply chains while maintaining gains from trade.

In the United States, investment in clean energy increases to an estimated more than USD 300 billion in 2024, 1.6 times the 2020 level and well ahead of the amount invested in fossil fuels. The European Union spends USD 370 billion on clean energy today, while China is set to spend almost USD 680 billion in 2024, supported by its large domestic market and rapid growth in the so-called “new three” industries: solar cells, lithium battery production and EV manufacturing.

Overall upstream oil and gas investment in 2024 is set to return to 2017 levels, but companies in the Middle East and Asia now account for a much larger share of the total

Change in upstream oil and gas investment by company type, 2017-2024, newly approved lng projects, led by the united states and qatar, bring a new wave of investment that could boost global lng export capacity by 50%, investment and cumulative capacity in lng liquefaction, 2015-2028, investment in fuel supply remains largely dominated by fossil fuels, although interest in low-emissions fuels is growing fast from a low base.

Upstream oil and gas investment is expected to increase by 7% in 2024 to reach USD 570 billion, following a 9% rise in 2023. This is being led by Middle East and Asian NOCs, which have increased their investments in oil and gas by over 50% since 2017, and which account for almost the entire rise in spending for 2023-2024.

Lower cost inflation means that the headline rise in spending results in an even larger rise in activity, by approximately 25% compared with 2022. Existing fields account for around 40% total oil and gas upstream investment, while another 33% goes to new fields and exploration. The remainder goes to tight oil and shale gas.

Most of the huge influx of cashflows to the oil and gas industry in 2022-2023 was either returned to shareholders, used to buy back shares or to pay down debt; these uses exceeded capital expenditure again in 2023. A surge in profits has also spurred a wave of mergers and acquisitions (M&A), especially among US shale companies, which represented 75% of M&A activity in 2023. Clean energy spending by oil and gas companies grew to around USD 30 billion in 2023 (of which just USD 1.5 billion was by NOCs), but this represents less than 4% of global capital investment on clean energy.

A significant wave of new investment is expected in LNG in the coming years as new liquefaction plants are built, primarily in the United States and Qatar. The concentration of projects looking to start operation in the second half of this decade could increase competition and raise costs for the limited number of specialised contractors in this area. For the moment, the prospect of ample gas supplies has not triggered a major reaction further down the value chain. The amount of new gas-fired power capacity being approved and coming online remains stable at around 50-60 GW per year.

Investment in coal has been rising steadily in recent years, and more than 50 GW of unabated coal-fired power generation was approved in 2023, the most since 2015, and almost all of this was in China.

Investment in low-emissions fuels is only 1.4% of the amount spent on fossil fuels (compared to about 0.5% a decade ago). There are some fast-growing areas. Investments in hydrogen electrolysers have risen to around USD 3 billion per year, although they remain constrained by uncertainty about demand and a lack of reliable offtakers. Investments in sustainable aviation fuels have reached USD 1 billion, while USD 800 million is going to direct air capture projects (a 140% increase from 2023). Some 20 commercial-scale carbon capture utilisation and storage (CCUS) projects in seven countries reached final investment decision (FID) in 2023; according to company announcements, another 110 capture facilities, transport and storage projects could do the same in 2024.

Energy investment decisions are primarily driven and financed by the private sector, but governments have essential direct and indirect roles in shaping capital flows

Sources of investment in the energy sector, average 2018-2023, sources of finance in the energy sector, average 2018-2023, households are emerging as important actors for consumer-facing clean energy investments, highlighting the importance of affordability and access to capital, change in energy investment volume by region and fuel category, 2016 versus 2023, market sentiment around sustainable finance is down from the high point in 2021, with lower levels of sustainable debt issuances and inflows into sustainable funds, sustainable debt issuances, 2020-2023, sustainable fund launches, 2020-2023, energy transitions are reshaping how energy investment decisions are made, and by whom.

This year’s World Energy Investment report contains new analysis on sources of investments and sources of finance, making a clear distinction between those making investment decisions (governments, often via state-owned enterprises (SOEs), private firms and households) and the institutions providing the capital (the public sector, commercial lenders, and development finance institutions) to finance these investments.

Overall, most investments in the energy sector are made by corporates, with firms accounting for the largest share of investments in both the fossil fuel and clean energy sectors. However, there are significant country-by-country variations: half of all energy investments in EMDE are made by governments or SOEs, compared with just 15% in advanced economies. Investments by state-owned enterprises come mainly from national oil companies, notably in the Middle East and Asia where they have risen substantially in recent years, and among some state-owned utilities. The financial sustainability, investment strategies and the ability for SOEs to attract private capital therefore become a central issue for secure and affordable transitions.

The share of total energy investments made or decided by private households (if not necessarily financed by them directly) has doubled from 9% in 2015 to 18% today, thanks to the combined growth in rooftop solar installations, investments in buildings efficiency and electric vehicle purchases. For the moment, these investments are mainly made by wealthier households – and well-designed policies are essential to making clean energy technologies more accessible to all . A comparison shows that households have contributed to more than 40% of the increase in investment in clean energy spending since 2016 – by far the largest share. It was particularly pronounced in advanced economies, where, because of strong policy support, households accounted for nearly 60% of the growth in energy investments.

Three quarters of global energy investments today are funded from private and commercial sources, and around 25% from public finance, and just 1% from national and international development finance institutions (DFIs).

Other financing options for energy transition have faced challenges and are focused on advanced economies. In 2023, sustainable debt issuances exceeded USD 1 trillion for the third consecutive year, but were still 25% below their 2021 peak, as rising coupon rates dampened issuers’ borrowing appetite. Market sentiment for sustainable finance is wavering, with flows to ESG funds decreasing in 2023, due to potential higher returns elsewhere and credibility concerns. Transition finance is emerging to mobilise capital for high-emitting sectors, but greater harmonisation and credible standards are required for these instruments to reach scale.

A secure and affordable transitioning away from fossil fuels requires a major rebalancing of investments

Investment change in 2023-2024, and additional average annual change in investment in the net zero scenario, 2023-2030, a doubling of investments to triple renewables capacity and a tripling of spending to double efficiency: a steep hill needs climbing to keep 1.5°c within reach, investments in renewables, grids and battery storage in the net zero emissions by 2050 scenario, historical versus 2030, investments in end-use sectors in the net zero emissions by 2050 scenario, historical versus 2030, meeting cop28 goals requires a doubling of clean energy investment by 2030 worldwide, and a quadrupling in emde outside china, investments in renewables, grids, batteries and end use in the net zero emissions by 2050 scenario, 2024 and 2030, mobilising additional, affordable financing is the key to a safer and more sustainable future, breakdown of dfi financing by instrument, currency, technology and region, average 2019-2022, much greater efforts are needed to get on track to meet energy & climate goals, including those agreed at cop28.

Today’s investment trends are not aligned with the levels necessary for the world to have a chance of limiting global warming to 1.5°C above pre-industrial levels and to achieve the interim goals agreed at COP28. The current momentum behind renewable power is impressive, and if the current spending trend continues, it would cover approximately two-thirds of the total investment needed to triple renewable capacity by 2030. But an extra USD 500 billion per year is required in the IEA’s Net Zero Emissions by 2050 Scenario (NZE Scenario) to fill the gap completely (including spending for grids and battery storage). This equates to a doubling of current annual spending on renewable power generation, grids, and storage in 2030, in order to triple renewable capacity.

The goal of doubling the pace of energy efficiency improvement requires an even greater additional effort. While investment in the electrification of transport is relatively strong and brings important efficiency gains, investment in other efficiency measures – notably building retrofits – is well below where it needs to be: efficiency investments in buildings fell in 2023 and are expected to decline further in 2024. A tripling in the current annual rate of spending on efficiency and electrification – to about USD 1.9 trillion in 2030 – is needed to double the rate of energy efficiency improvements.

Anticipated oil and gas investment in 2024 is broadly in line with the level of investment required in 2030 in the Stated Policies Scenario, a scenario which sees oil and natural gas demand levelling off before 2030. However, global spare oil production capacity is already close to 6 million barrels per day (excluding Iran and Russia) and there is a shift expected in the coming years towards a buyers’ market for LNG. Against this backdrop, the risk of over-investment would be strong if the world moves swiftly to meet the net zero pledges and climate goals in the Announced Pledges Scenario (APS) and the NZE Scenario.

The NZE Scenario sees a major rebalancing of investments in fuel supply, away from fossil fuels and towards low-emissions fuels, such as bioenergy and low-emissions hydrogen, as well as CCUS. Achieving net zero emissions globally by 2050 would mean annual investment in oil, gas, and coal falls by more than half, from just over USD 1 trillion in 2024 to below USD 450 billion per year in 2030, while spending on low-emissions fuels increases tenfold, to about USD 200 billion in 2030 from just under USD 20 billion today.

The required increase in clean energy investments in the NZE Scenario is particularly steep in many emerging and developing economies. The cost of capital remains one of the largest barriers to investment in clean energy projects and infrastructure in many EMDE, with financing costs at least twice as high as in advanced economies as well as China. Macroeconomic and country-specific factors are the major contributors to the high cost of capital for clean energy projects, but so, too, are risks specific to the energy sector. Alongside actions by national policy makers, enhanced support from DFIs can play a major role in lowering financing costs and bringing in much larger volumes of private capital.

Targeted concessional support is particularly important for the least-developed countries that will otherwise struggle to access adequate capital. Our analysis shows cumulative financing for energy projects by DFIs was USD 470 billion between 2013 and 2021, with China-based DFIs accounting for slightly over half of the total. There was a significant reduction in financing for fossil fuel projects over this period, largely because of reduced Chinese support. However, this was not accompanied by a surge in support for clean energy projects. DFI support was provided almost exclusively (more than 90%) as debt (not all concessional) with only about 3% reported as equity financing and about 6% as grants. This debt was provided in hard currency or in the currency of donors, with almost no local-currency financing being reported.

The lack of local-currency lending pushes up borrowing costs and in many cases is the primary reason behind the much higher cost of capital in EMDE compared to advanced economies. High hedging costs often make this financing unaffordable to many of the least-developed countries and raises questions of debt sustainability. More attention is needed from DFIs to focus interventions on project de-risking that can mobilise much higher multiples of private capital.

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