Grades K through 8

K–8 Research Tracks

Hands-on, curiosity-driven research projects designed to help younger students explore real-world problems using simple data, coding, and experimentation.

Designed for Young Innovators

No prior coding experience needed. These tracks are approachable, fun, and genuinely impactful — every student who completes a paper gets published and certified.

Grades K–2 Grades 3–5 Grades 6–8
Research Projects
Available Tracks
Pick a track that interests you and start your research journey — at any grade level.
🌊
Track 01

AI for Clean Oceans

Challenge

Trash is building up in oceans and rivers, threatening ecosystems worldwide.

Project

Create a simple image classifier that detects plastic vs. natural materials in water.

  • Collect and label sample images
  • Train beginner-friendly ML models
  • Build an awareness dashboard
Impact

Encourages environmental responsibility and data literacy.

💡
Track 02

Smart School Energy Saver

Challenge

Schools waste electricity daily through unmonitored usage patterns.

Project

Track classroom energy usage and predict high-consumption times with simple models.

  • Basic data tracking and logging
  • Simple charts and trend predictions
  • Energy-saving recommendations
Impact

Lower school energy costs and real sustainability habits.

🏃
Track 03

Healthy Habits Tracker

Challenge

Students struggle to build consistent, healthy daily routines.

Project

Design a simple app that tracks sleep, exercise, and reading time with scoring.

  • Survey and data collection design
  • Habit scoring system development
  • Weekly improvement reports
Impact

Builds healthier routines backed by personal data.

🌤️
Track 04

Local Weather Prediction

Challenge

Weather affects outdoor activities, safety, and planning for schools.

Project

Use historical weather data to predict next-day conditions with regression models.

  • Graphing temperature trends over time
  • Building simple regression models
  • Creating a mini forecast website
Impact

Introduces core data science and prediction concepts.

🍱
Track 05

Food Waste Analyzer

Challenge

Cafeterias throw away large amounts of food every single day.

Project

Collect daily waste data, find patterns by day and meal type, recommend solutions.

  • Categorize and track waste types
  • Analyze peak waste days with charts
  • Recommend smarter portion planning
Impact

Measurable reduction in cafeteria food waste.

🤝
Track 06

Kindness Pattern Study

Challenge

Bullying and social exclusion negatively impact student wellbeing and performance.

Project

Create anonymous surveys to study positive behavior trends and social patterns.

  • Design safe, anonymous surveys
  • Analyze social behavior patterns
  • Propose school-wide kindness initiatives
Impact

Measurably improves school culture and student wellbeing.

Ready to Start Your Research?

Apply today — every student who completes a paper gets published, certified, and recognized.

Apply Now →