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Applied Research Innovations in Science and Engineering (ARISE)

Science
Engineering
Leadership

NYU K12 STEM Education

Brooklyn, NY10 weeksDeadline passed

Applied Research Innovations in Science and Engineering (ARISE) is a free 10-week summer program offered by NYU K12 STEM Education at the NYU Tandon School of Engineering, open to rising juniors and seniors who are full-time NYC residents attending NYC schools. Students spend the first four weeks building foundational skills in lab safety, college writing, and research methods before transitioning into hands-on work in one of over 80 NYU research laboratories. There, participants collaborate directly with faculty and researchers on real-world projects across a wide range of scientific and engineering fields. ARISE is a remarkable opportunity for motivated high school students to gain authentic research experience at one of the country's leading universities, completely free of charge.

Visit k12stem.engineering.nyu.edu

Skills You'll Build

Scientific Research

Designing studies, testing hypotheses, and drawing evidence-based conclusions.

Lab Techniques

Running experiments safely and accurately using real scientific equipment and procedures.

Public Speaking

Delivering ideas clearly and confidently in front of an audience.

Critical Thinking

Evaluating information carefully before drawing a conclusion or making a decision.

Problem Solving

Breaking down a challenge and working through it methodically to a solution.

Research Methods

Gathering and evaluating information systematically to answer a question.

Related Careers

Medical Researcher

Students conduct real research in 80+ university labs, directly mirroring medical research career work.

Biomedical Engineer

Lab experience in bio-interfacial engineering, biomolecular engineering, and protein engineering labs.

Environmental Engineer

Hands-on research in environmental engineering and water treatment labs with faculty mentors.

Chemical Engineer

Direct lab experience in flow chemistry and materials engineering research projects.

Data Scientist

Exposure to machine learning labs, data analytics, and computational research methodologies.

Quick Facts

Grade Levels
11th - 12th
Format
Hybrid
Time Commitment
Full-time, 10 weeks (~150 hrs total
Competitiveness
Selective
Best For
STEM-focused aspiring researchers

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