Fix the Broken Map: Rebuilding America's Homeless Resources Data
Outdated shelter data leaves thousands calling disconnected numbers while empty beds go unfilled. Can you fix it?
Nov 19 to Nov 22, 2026
City
Solutions built in New York City
5 solutions built by 4 people across 3 challenges between Jun 2024 and Jun 2026. Teams worked with Ontology Mapping, Named Entity Recognition and Python. 1 challenge is open or coming up.
- Solutions
- 5
- Builders
- 4
- Challenges
- 3
- Open or upcoming
- 1
Open and upcoming challenges
Join on your own or with a team. Free to take part.
Solutions
5 solutions. Winners first, then the most complete projects.
KnowHax: HelioKNOW
Helio-KNOW: Heliophysics Data Exploration Platform
Interface for exploring heliophysics data through networks, tables, and timelines
Jun 2024
Video
Hack Climate Models
Climate Data Literature Ontology and Entity Recognition System
Structured knowledge base and entity recognition for climate research publications and datasets
1 builder · Sep 2025
Business & Commerce
AI Agents · Prompt Engineering · Python
Code Your First AI App or Agent: From Zero to Prototype 02/05
Financial Data Consolidation Agent
AI agent that consolidates financial spreadsheets from multiple energy systems into one unified tab
3 builders · Mar 2026
Climate & Environment
Ontology Mapping · Named Entity Recognition · Natural Language Processing
Hack Climate Models
Climate Data Literature Ontology
Identifying climate data used in scientific publications for Temple University
1 builder · Jun 2024
Open Science & Research
Knowledge Graphs · AI Agents
KnowHax: HelioKNOW
HelioKNOW, User Interface for Heliophysics Data
An interface that lets researchers explore Heliophysics data in an intuitive way
Jun 2024
Builders
People who shipped solutions here. Their profiles show the skills behind the work.
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Questions
How many solutions in New York City are on GenHax?
5 solutions so far, from 3 challenges: Hack Climate Models, KnowHax: HelioKNOW and Code Your First AI App or Agent: From Zero to Prototype 02/05. 1 include a video demo.
Who builds these solutions?
4 people contributed, working in teams, including S. S., B. O. and H. S.. Each builder's profile shows the skills they used and the solutions they shipped.
What skills and technologies do these teams use?
The most common are Ontology Mapping, Named Entity Recognition, Python, Natural Language Processing and Knowledge Graphs.
Are there upcoming challenges in New York City?
Yes: Fix the Broken Map: Rebuilding America's Homeless Resources Data. You can join on your own or with a team.
How do I get my work featured here?
Join a GenHax challenge and submit your team's solution. Submitted solutions get a public page that credits every builder and links to their profile.
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