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We know the jump from your interests to a research project idea can be tricky.


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Browse project ideas by Polygence mentors

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Analyzing the effect of AI on interpreting labs/imaging in hospital settings

For folks interested in an innovation-focused project, we can study how new developments in AI within fields such as pathology and radiology have affected clinical decision-making, efficiency, the hiring/retention of physicians within related specialties, and developments on the horizon. Some potential outcomes include an abstract, paper, blog post, or dashboard.

Public Health, Biotech, Statistics, Healthcare

Ronit
Ronit

Predicting hospital readmission rates among patients in Asia with multiple comorbidities

Using a publicly available dataset, we can examine factors that make patients more susceptible to hospital readmission and form predictions to inform physicians in their decision-making. Some potential outcomes include an abstract, paper, blog post, or dashboard.

Public Health, Biotech, Statistics, Healthcare

Ronit
Ronit

A review of health policy affecting marginalized communities in the US in recent years

This can be a broad scope review of policies and public health/policy literature to elucidate trends and potential pivotal moments in the US that have particularly affected marginalized communities. Some potential outcomes include an abstract, paper, blog post, or dashboard.

Public Health, Biotech, Statistics, Healthcare

Ronit
Ronit

Design a Research Study from Scratch — From Idea to Proposal

Have you ever wondered how researchers come up with the studies you read about? In this project, you’ll learn how to turn a question or observation into a full-fledged research proposal. We’ll start with brainstorming topics you care about—anything from mental health to social media to art and creativity—and narrow down to a focused research question. You’ll learn how to design a study that could actually be carried out: deciding what type of study it would be (survey, experiment, interview-based, etc.), how to recruit participants, and how to collect and analyze data. By the end, you’ll create a research proposal and mock IRB summary that could serve as the foundation for a real-world research project or science fair submission.

Public Health, Psychiatry, Healthcare

Oluwaseyi
Oluwaseyi

Community Health Awareness Campaign

The Community Health Awareness Campaign project will enhance understandings of preventive health measures related to chronic diseases, specifically focusing on diabetes and hypertension within the community. The project will be initiated with a comprehensive research phase, where surveys will be conducted to identify specific health concerns and assess current knowledge levels and misconceptions among community members. Subsequently, the project team will develop targeted educational materials, including brochures, posters, and digital content, as well as organize engaging workshops or webinars featuring healthcare professionals to disseminate vital information. To maximize outreach, the campaign will establish partnerships with local organizations and schools to host health fairs and seminars, alongside leveraging social media platforms to share testimonials and raise awareness. Finally, an evaluation phase will be implemented to assess the campaign's impact, utilizing follow-up surveys and participant feedback to measure knowledge improvement and overall effectiveness of the initiative.

Business, Healthcare

Chuma
Chuma

Start a business

Online brand shop or services/consulting business. Build an online presence and recruit customers.

Business, Organizational Leadership

Kelly
Kelly

Outdoor Folklore: A Montessori Lesson Plan

This lesson plan is meant to highlight the natural relationship between science and the humanities. Science is a way of understanding the world around us, and we can widen the perspective that it gives us by integrating folklore into the way we guide students through scientific reasoning. It is developed for Montessori students between ages 6 and 12.

Creative Writing, History, Literature, Arts

Kate
Kate

Trends in infectious disease incidence within the US over the past 10 years

We can obtain a dataset from a source such as the CDC and select a few diseases (e.g., COVID, influenza, etc.) to investigate trends across factors like socioeconomic status, geography, time, and more. Some potential outcomes include an abstract, paper, blog post, or dashboard.

Public Health, Biotech, Statistics, Healthcare

Ronit
Ronit

Product Carbon Footprints: Understanding the Climate Impact of What We Buy

Every product we purchase—from smartphones to sneakers to groceries—has a hidden carbon footprint that extends far beyond what we see on the shelf. This project explores how to calculate and compare the full lifecycle carbon emissions of consumer products using Watershed's Open CEDA (Comprehensive Environmental Data Archive), a free global emissions database covering 148 countries and 400 industries. Students will learn to estimate product carbon footprints by analyzing components, manufacturing locations, and supply chains. Potential directions include: 1) Comparing carbon footprints of similar products (electric vs. gas cars, local vs. imported foods, different smartphone brands), 2) Building a calculator or interactive tool for estimating purchase impacts, 3) Analyzing how manufacturing location affects emissions—the same product can have up to 70% higher emissions depending on the country due to different energy grids, or 4) Identifying "carbon hotspots" in supply chains where the biggest reductions could happen. Students will develop skills in lifecycle assessment, supply chain analysis, and understanding Scope 3 emissions (indirect emissions that make up the majority of most companies' carbon footprints). This project combines environmental science, economics, and data science while addressing real-world questions about sustainable consumption. The technical level ranges from beginner (spreadsheets) to advanced (Python with supply chain modeling). Likely outcome is a beginner to advanced research paper, potentially with an interactive tool useful for real consumers.

AI/ML, Environmental Science

Tristan
Tristan

Satellite Imagery Analysis: Finding Patterns from Space

Satellite imagery has become freely accessible through platforms like Google Earth Engine, opening up exciting possibilities for high school students to explore our planet from space. In this project, students can apply computer vision and machine learning techniques to detect and classify objects in satellite images. Google Earth Engine provides a cloud-based platform with access to decades of satellite imagery and allows for planetary-scale analysis without requiring powerful local computers. Potential project directions include: 1) Tracking deforestation by comparing satellite images over time using vegetation indices like NDVI (Normalized Difference Vegetation Index), 2) Detecting buildings, roads, or infrastructure in urban areas using object detection models, 3) Finding sports fields, solar panels, or agricultural areas using classification techniques, 4) Monitoring changes in water bodies or coastal erosion over time, or 5) Analyzing urban expansion and land use changes in your hometown. Students will learn to work with multispectral imagery, apply spectral indices, use machine learning for image classification, and create compelling visualizations. The project can range from beginner-friendly approaches using pre-built tools to advanced implementations involving training custom deep learning models. Many tutorials and datasets are freely available, making this an accessible entry point into geospatial data science. No prior remote sensing experience needed—just curiosity about seeing Earth from a new perspective! Likely outcome is a beginner to advanced research paper that can include interactive visualizations or web applications.

AI/ML, Environmental Science

Tristan
Tristan

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