The High School Research Playbook: STEM, AI, Business & Social Science Research

When you hear the word research, you might picture a scientist working in a laboratory.

That is research, but it's only one version of it. Research is ultimately about learning how to ask a meaningful question, find and evaluate evidence, analyse information, and use what you discover to reach a conclusion. Those skills matter in almost every field.

• A student interested in business might analyse why consumers choose one brand over another, or how a company should respond to a changing market. • A student interested in AI might evaluate whether a model performs fairly across different populations. • A student interested in biology might test a scientific hypothesis. • A student interested in psychology might investigate how social media influences behaviour.

Research gives you an opportunity to move beyond simply learning what other people already know, and begin investigating questions yourself.

Why Research Matters

Research teaches a combination of skills that are useful far beyond a lab.

Asking Better Questions

Instead of accepting information at face value, you learn to identify what you don't know and turn curiosity into something you can investigate.

Evaluating Information

You learn how to distinguish strong evidence from weak claims - an increasingly important skill in a world filled with AI-generated content and enormous amounts of online information.

Analysing Data and Evidence

Whether you're interpreting experimental results, consumer surveys, economic data, or model outputs, research teaches you to draw conclusions from evidence.

Solving Open-Ended Problems

Unlike many school assignments, research often doesn't have a predetermined correct answer.

Communicating Ideas

Research requires you to explain what you investigated, why it matters, what you found, and what the limitations are.

That's why research skills appear across disciplines. In business education specifically, experiential and project-based learning can help students apply knowledge to real-world problems while developing skills such as critical thinking, problem solving, communication, and adaptability.

STEM Research

STEM research uses scientific and technical methods to investigate questions, test ideas, and understand how things work. STEM research might involve:

• Experiments • Laboratory work • Engineering design • Environmental data • Computational modelling • Scientific datasets

AI Research

Learning to use AI tools and researching AI are not the same thing. AI research can ask questions like:

• How accurate is this model? • Where does it fail? • Is it biased? • How could it be applied to healthcare or education? • How are humans responding to AI-generated information? • How is generative AI changing an industry?

AI research can sit at the intersection of:

• Computer science and medicine • AI and ethics • AI and education • AI and psychology • AI and business

That makes it particularly exciting for students whose interests don't fit neatly into one traditional academic subject.

Business and Economics Research

Research is fundamental to how businesses understand consumers, markets, competitors, and emerging technologies, and make decisions when there isn't an obvious answer. Think about the questions businesses need to answer:

• Why are customers choosing a competitor? • Would consumers pay more for this product? • How should a company enter a new market? • Does influencer marketing actually change purchase intent? • How is AI changing consumer behaviour?

Those questions can be investigated using:

• Consumer surveys • Interviews • Company reports • Financial data • Market data • Experiments • Case studies • Competitor analysis • Public datasets

This kind of investigation builds skills that extend beyond a single research project. Critical thinking, communication, adaptability, and the ability to apply knowledge are increasingly important capabilities for future business graduates, particularly as technology and AI reshape the workplace.

Social Science Research

Social science researchers investigate people, societies, and behaviour. A high school student could explore questions involving:

• Psychology • Education • Social media • Politics • Culture • Inequality • Behavioural economics • Decision-making

Research methods might include surveys, interviews, experiments, content analysis, or existing datasets.

So whether you're interested in science, AI, business, social sciences, or entrepreneurship, research is ultimately about the same skill: turning curiosity into a question you can investigate.

High School Research Programmes You Should Know

There isn't one "best" research programme. Some students need an introduction to a subject. Others already have a research question and need mentorship. Some want an intensive university experience. Here are several different pathways worth knowing about.

Programme dates, costs, and eligibility can change each year - always verify current requirements directly with the programme before applying.

Business, Economics, Entrepreneurial and Social Science Programmes

There are fewer high school opportunities explicitly labelled "business research internships" than STEM research programmes. But that doesn't mean aspiring business students can't conduct serious research. Look for programmes involving data, economics, consumer behaviour, companies, strategy, statistics, and independent investigation.

1. Penn State BOSS: Business Opportunities Summer Session

Best for: rising seniors who know they're interested in business but aren't sure which area they want to explore more deeply.

Penn State Smeal's Business Opportunities Summer Session (BOSS) is a two-week residential programme for rising seniors from the US and Puerto Rico who are interested in studying business. Students participate in business fundamentals courses taught by Penn State faculty, company visits, group presentations, and hands-on learning experiences.

Type: business academic exploration / research preparation Summer 2027 deadline: not yet announced as of August 2026.

2. Yale Young Global Scholars (YYGS)

Best for: students interested in questions involving science, economics, politics, technology, and global issues.

Yale Young Global Scholars is a two-week academic enrichment programme bringing together high school students from around the world. For Summer 2027, its academic tracks include:

• Innovations in Science and Technology • Politics of Law and Economics • Solving Global Challenges

YYGS is not a research internship, but it can provide strong preparation for students beginning to think more deeply about research questions.

Type: interdisciplinary academic exploration / research preparation Summer 2027 deadlines: Early Action: October 15, 2026 Regular Decision: January 6, 2027

YYGS says qualifying applicants can receive need-based aid covering up to 100% of tuition.

3. Wharton Moneyball Academy

Best for: students interested in business, data, and sport.

Moneyball Academy shows what quantitative research can look like outside of traditional STEM. Students learn:

• Statistics • Probability • Data visualisation • Regression • R programming

and apply those skills to real questions involving sports analytics. Students ultimately work collaboratively on a capstone research project, giving them experience moving from data to analysis to findings.

Type: analytics and capstone research Summer 2027 deadline: not yet published.

4. Wharton Data Science Academy

Best for: students interested in analytics, economics, business, or machine learning.

Data has become central to how businesses make decisions. Wharton's Data Science Academy introduces high school students to areas including:

• Data science • Statistics • Machine learning • Programming • Analytics

Students build technical skills that can be applied to research questions involving business, markets, economics, and consumer behaviour.

Type: quantitative research preparation Summer 2027 deadline: not yet announced.

5. Hinksey Labs Business Research Programme

Best for: students who want to explore business, entrepreneurship, strategy, and companies in a structured mentorship programme.

Hinksey students can conduct mentored research around real companies, industries, and questions involving areas such as:

• Marketing • Strategy • Entrepreneurship • Finance • Consumer behaviour • Economics • Emerging technologies

Rather than simply learning about a company, students learn to identify a meaningful research question and investigate it using evidence and relevant business frameworks. This can give business-focused students a structured route into research when their interests don't fit naturally into a traditional university laboratory.

Type: structured mentored research 2026-27 application deadlines: Priority: November 1, 2026 Regular: November 14, 2026 Cohort begins: January 2027

STEM Research Programmes

1. UCSB Summer Research Academies (SRA): STEM Tracks

Best for: students who want to conduct research in a university setting across STEM, AI, humanities, or social sciences.

UC Santa Barbara's Summer Research Academies is a four-week programme in which high school students choose an interdisciplinary research track and develop an original research project with guidance from researchers and instructors. For 2026, tracks included areas such as:

• Robotics • Digital social movements • Bioethics • Molecular biology

Students spend approximately 25-40 hours per week on research and finish by producing a technical research paper and presenting their findings at a capstone seminar.

Type: directed university research Summer 2027 deadline: not yet announced.

2. MIT THINK Scholars Programme

Best for: students who already have an idea they want to investigate.

MIT THINK takes a different approach from many summer programmes. Instead of applying to work on someone else's predetermined project, students propose their own science, technology, or engineering project. Selected finalists receive mentorship and up to $1,000 in funding to help execute their proposal.

That makes THINK especially interesting for students who have already reached the "I have an idea, but I don't know how to actually do it" stage.

Type: mentored independent research / project development 2026-27 application deadline: not yet announced as of August 2026.

3. Boston University RISE

Best for: rising seniors who want an intensive university research experience.

BU's Research in Science & Engineering programme is a six-week experience for rising seniors. RISE offers two tracks:

• Internship: students work approximately 40 hours per week on research projects under faculty, postdoctoral, or graduate-student mentorship. • Practicum: students collaborate on structured computational research projects in areas such as data science and computational neurobiology.

Research areas can include:

• Biology • Chemistry • Engineering • Computer science • Neuroscience • Psychology • Public health

Students also learn about research ethics, reading scientific literature, and communicating findings before presenting their work at a poster symposium.

Type: university research internship / structured research practicum Summer 2027 deadline: not yet announced.

4. Research Science Institute (RSI)

Best for: students looking for an extremely selective, intensive STEM research experience.

The Research Science Institute, run by the Center for Excellence in Education and hosted at MIT, brings together high school students for a six-week summer programme combining advanced STEM coursework with original research. Students work with mentors to develop and conduct research before presenting their findings.

RSI is free of charge, making it an especially notable example of a highly selective research opportunity that does not require students to pay tuition.

Type: intensive STEM research Summer 2027 deadline: not yet announced as of August 2026.

AI and Machine Learning Programmes

1. Stanford AIMI Summer Research Internship

Best for: students interested in AI and healthcare who want a genuine mentored research experience.

Stanford's Center for Artificial Intelligence in Medicine & Imaging offers high school students a summer research internship focused on AI and healthcare. Students learn technical concepts while working in small teams on research involving real-world health data. The programme emphasises skills such as:

• Framing research questions • Exploring data • Developing technical approaches • Evaluating results • Communicating findings

Research can involve areas such as machine learning, medical imaging, clinical AI, model evaluation, and responsible AI. Stanford recommends stronger maths, coding, and/or healthcare experience for the internship, and points less experienced students toward its introductory bootcamp.

Type: mentored AI research Summer 2027 application deadlines: Applications open: November 10, 2026 Deadline: February 1, 2027

2. Carnegie Mellon AI Scholars

Best for: students who want a fully funded introduction to AI and hands-on projects.

CMU's AI Scholars programme combines college-level instruction with hands-on group research projects, faculty engagement, mentorship, and exposure to careers in artificial intelligence. Topics include areas such as:

• Python • Algorithms • Data • Machine learning • AI evaluation

Importantly, CMU says students do not need previous coding experience.

Type: AI education and research projects Summer 2027 deadline: not yet announced.

3. MIT Jameel Clinic AI & Health Summer High School Bootcamp

Best for: students who want to build their AI foundation first.

MIT's Jameel Clinic introduces students in grades 10-12 to artificial intelligence and machine-learning methods used in healthcare. Students gain exposure to areas such as:

• Machine learning • Clinical AI • AI-assisted drug discovery • Responsible AI • Healthcare applications

The programme also includes collaborative project work.

Type: AI research preparation Summer 2027 deadlines: Early Action: November 1, 2026 Regular: February 22, 2027

4. UCSB Summer Research Academies (SRA): AI Tracks

Best for: students who want to approach AI from a technical or interdisciplinary perspective.

This programme is useful for students whose interest in AI isn't necessarily limited to coding. Recent tracks have explored areas such as:

• Probabilistic computing and AI • The development and implications of machine learning • Psychology and computational methods

Type: directed university research Summer 2027 deadline: not yet announced.

5. Hinksey Labs AI Research Programme

Best for: students interested in AI who want to explore it through a structured, mentored research project.

At Hinksey Labs, students can investigate questions involving AI and emerging technologies connected to real-world industries, organisations, and challenges. Rather than focusing only on building or coding AI systems, students can investigate how these technologies are being used, where they create value, and what challenges they introduce.

Research topics might explore:

• AI's impact on a particular industry or profession • How organisations are adopting emerging technologies • Consumer attitudes towards AI-powered products • The opportunities and risks created by generative AI • How AI could be applied to a real-world problem

Students develop skills in research design, evidence analysis, and academic communication along the way. This makes the pathway accessible to students interested in understanding and researching AI, even without advanced programming experience.

Type: structured mentored research 2026-27 application deadlines: Priority: November 1, 2026 Regular: November 14, 2026 Cohort begins: January 2027

Which Type of Programme Is Right for You?

There isn't one "best" research programme. The right opportunity depends on where you are now, what you want to explore, and how much support you need. Before applying, think about what you actually want to get out of the experience.

If you're new to research: look for introductory or research-preparation programmes that help you build foundational knowledge and skills. Examples: YYGS, Hinksey Labs, Penn State BOSS.

If you want guided research experience: look for structured, mentored programmes where you'll learn the research process while completing a project. Examples: UCSB SRA, Hinksey Labs.

If you already have a research idea: look for programmes that provide mentorship, resources, or funding to develop your own project. Examples: MIT THINK, Hinksey Labs.

If you want intensive university research: look for programmes that place students in research-focused university environments. Examples: BU RISE, RSI, Stanford AIMI.

If you're interested in business, data, or interdisciplinary research: don't only search for programmes with "research" in the title. Consider data programmes, competitions, and mentored research. Examples: Wharton programmes, YYGS, Hinksey Labs.

How to Evaluate a Research Programme

Before applying, look beyond the university or programme name and ask:

• Mentorship: who will actually guide you, and how much access will you have to them? • Real research: will you learn how to develop questions, work with evidence, analyse findings, and draw conclusions? • Ownership: will you make meaningful decisions about your project, or simply follow instructions? • Outcome: will you leave with something meaningful, such as a paper, presentation, analysis, or project? • Transparency: is the programme clear about its mentors, costs, time commitment, and expectations? • Fit: are you genuinely interested in the subject, or mostly interested in the name attached to it?

Remember: publication isn't the same as better research. A strong experience should teach you how to ask questions, investigate, analyse, and communicate findings.

Takeaway

Whether you're interested in AI, business, economics, STEM, psychology, technology, or another field, research teaches you to ask better questions, evaluate evidence, analyse information, solve open-ended problems, and communicate what you discover.

And there isn't one "best" way to get that experience.

• One student might thrive in a university lab. • Another might need an introductory programme first. • Another might conduct mentored business research, investigate how AI is transforming an industry, or use data to understand consumer behaviour.

The name of the programme matters less than the experience you're actually getting.

If a mentored, structured research programme sounds like the right next step, explore how Hinksey Labs' Business Research and AI Research programmes work: Explore our programmes

For a closer look at how research mentorship models compare - one-to-one mentorships, cohort seminars, and where Hinksey Labs sits among them: Compare research programmes

These ideas draw on published guidance from the National Academies of Sciences, Engineering, and Medicine, and AACSB International, alongside publicly available programme information as of August 2026.