360+ national & international awards
Schovia Research Institute
Turn ideas into research that stands out.
A high-touch research program for middle and high school students who want to build original AI projects, publish stronger work, and compete with depth.
1:1 mentorshipPublication-ready outcomesFlexible pacing
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Original research
Student-led questions, mentor-guided rigor.
1:1 guidance
Ph.D. mentors and milestone-based support.
Why Schovia Research Program?
100+ research publications(last 24 months)
10+ Student patent filings
Schovia's research program is the only one that enables middle and high school students to design and execute personalized research projects on topics they are passionate about, including science, healthcare, climate, sports, music, and more.
Why this program feels different
Built around originality, not templates.
Students are not dropped into a generic capstone. They work from their own interests, learn the research process step by step, and build toward a result that feels genuinely theirs.
Every Project is Unique
We ensure that every student's project is one of a kind. Each participant creates a unique project tailored to their specific interests and goals, fostering originality and personalized learning. No two projects are the same, allowing students to explore their passions and develop skills in a meaningful, individualized way.
Gateway to Professional Publications
We offer expert guidance for competitions and publication paths tailored to your project and academic level. Our support extends beyond high school journal submissions, empowering students to aim for professional publications typically pursued by graduate students and professors.
No Prerequisites Required
We offer a personalized program uniquely designed for each student, tailored to their current level of programming and AI knowledge.
Flexible and Personalized Schedules
Begin the program whenever it suits you, with no set start date. We offer flexible session times, frequency, and duration, all customized to fit the student's unique schedule and learning pace.
Originality and ethics
How student work stays authentic.
Strong outcomes come from a strong process. The program emphasizes research integrity, transparent experimentation, and responsible use of modern AI tools.
- ＋Self-generated hypotheses. Students start from their own interests and questions, then refine them into feasible, testable research directions.
- ＋Citation and reproducibility. Mentors teach students how to document sources, structure experiments, and justify results clearly.
- ＋Responsible AI use. AI tools can assist brainstorming and iteration, but originality, transparency, and authorship remain central.
- ＋Integrity checks. Projects progress through iterative reviews, experiment logs, and feedback loops before final submission.
Program flow
From curiosity to a polished final output.
The workflow blends idea development, foundational learning, experimentation, mentor review, and communication support so students can keep moving with clarity.
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Project spotlight
A few directions students have explored.
The range matters. Students tackle scientific, technical, and creative questions while learning how to justify choices and communicate results.
Climate AIFeatured innovation
Wildfire Prediction
A computer vision project for spotting wildfire smoke earlier from trail and field imagery, helping accelerate alerts and response.
Biotech AIResearch spotlight
AI-driven Drug Discovery
Students explored how machine learning workflows can accelerate the search for promising drug candidates linked to cancer treatment.
Creative AIPublication-minded work
AI Ballet Instruction
An interdisciplinary project combining movement analysis and AI to make dance coaching more accessible for aspiring learners.
Showcase and publication culture
Students do more than finish a project.
They practice presenting, revising, and packaging their work for a real audience, whether that means a symposium stage, a competition panel, or a publication submission.
Student Research Symposiums
Students present their work publicly, explain their methods, and practice defending their findings with confidence.
Publication-ready papers
Projects can evolve into professional-looking writeups with research framing, results, and polished presentation assets.
Annual institute momentum
The program helps learners build continuity from weekly mentorship into bigger milestones, showcases, and submission cycles.
FAQ
What families usually ask first.
A few core questions about how the program starts, what students work toward, and how the pace is managed over time.
The opening sessions focus on identifying the student's interests, brainstorming viable research ideas, and assessing what level of AI and coding support is needed.
Once a project direction is feasible, the team shapes a custom plan that mixes concept learning, experimentation, and milestone-based mentoring.