Transform NY STEP: Design Your Student Challenge
Traditional STEM lessons fail to engage underrepresented students—how will you spark their curiosity?
Oct 22 to Dec 12, 2026
7 solutions built by 9 people across 4 challenges between Jun 2024 and Jun 2026. Teams worked with Knowledge Graphs, Python and Ontology Mapping. 2 challenges are open or coming up.
Join on your own or with a team. Free to take part.
Traditional STEM lessons fail to engage underrepresented students—how will you spark their curiosity?
Oct 22 to Dec 12, 2026
Outdated shelter data leaves thousands calling disconnected numbers while empty beds go unfilled. Can you fix it?
Nov 19 to Nov 22, 2026
7 solutions. Winners first, then the most complete projects.

KnowHax: HelioKNOW
Interface for exploring heliophysics data through networks, tables, and timelines
Jun 2024

Hack Climate Models
Structured knowledge base and entity recognition for climate research publications and datasets
1 builder · Sep 2025

DREAM-KG Homelessness Support
Knowledge graphs and user interface connecting homeless individuals with real-time support resources
1 builder · Apr 2026
Knowledge Graphs · AI · Python
DREAM-KG Homelessness Support
Documents 18 queries for the DREAM-KG homelessness support knowledge graph and identifies data gaps
4 builders · Apr 2026
AI Agents · Prompt Engineering · Python
Code Your First AI App or Agent: From Zero to Prototype 02/05
AI agent that consolidates financial spreadsheets from multiple energy systems into one unified tab
3 builders · Mar 2026
Ontology Mapping · Named Entity Recognition · Natural Language Processing
Hack Climate Models
Identifying climate data used in scientific publications for Temple University
1 builder · Jun 2024
Knowledge Graphs · AI Agents
KnowHax: HelioKNOW
An interface that lets researchers explore Heliophysics data in an intuitive way
Jun 2024
People who shipped solutions here. Their profiles show the skills behind the work.
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7 solutions so far, from 4 challenges: DREAM-KG Homelessness Support, Hack Climate Models, KnowHax: HelioKNOW and Code Your First AI App or Agent: From Zero to Prototype 02/05. 2 include a video demo.
9 people contributed, working in teams, including S. S., V. S. and R. F.. Each builder's profile shows the skills they used and the solutions they shipped.
The most common are Knowledge Graphs, Python, Ontology Mapping, Named Entity Recognition and Natural Language Processing.
Yes: Transform NY STEP: Design Your Student Challenge and Fix the Broken Map: Rebuilding America's Homeless Resources Data. You can join on your own or with a team.
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