- #Data Science
- #Web Development
- #Data Viz
- Summary
- Updates
- Contributors
Summary
Project Great Dane: Convening with the community through Equitable Mapping platform
The goal of this hackathon is to improve the experience for an interactive map that incorporates key data indicators from Open Data NYC portal.
Level of Difficulty: Intermediate
Role: Web Developer, Data Scientist, Researcher
Project Name Trivia
No one is quite sure how or why Great Danes, a German breed, came to be associated with Denmark. (In Germany they're known as the Deutsche Dog, or 'German dog.') We do know that once upon a time, German nobles used Danes to hunt ferocious wild boars. Later, Danes became famous as protectors of their home and loved ones, a job they are still happy to perform.
Work Plan Overview
We’re excited to announce an upcoming hackathon centered around Equitable Mapping, where participants will collaborate to create innovative prototypes for maps that enhance the accessibility and usability of New York City’s Open Data.
Equitable Mapping: A Design Challenge
The goal of this hackathon is to design a prototype for an interactive map that incorporates key indicators from NYC’s Open Data portal, allowing users to understand and interact with information, and drive change in their communities.
Project Proposal
- What's the deliverable? An existing prototype of the site is started. A map visualizer Think Craigslist but with data indicators and data storytelling content, visualized through a map.
- Why equitable mapping? This is a two-week design challenge to ideate on improving the prototype. How might we enable data-driven storytelling to drive change in a community, through equitable mapping?
- What’s the goal of the project? The goal of this project is to empower developers, designers, data scientists, and community members to propose topics and important issues that can be backed up by existing studies that rely on visual evidence of progression or trends shown on a map.
What’s expected?
Your project should meet the following criteria:
- Data Understanding & Problem Solving:
- Does the prototype improve a user’s ability to understand a specific NYC Open Data dataset? Think about how your map design could clarify complex datasets or make them more accessible to a broader audience.
- Does your project help New Yorkers answer pressing questions or solve community-based problems using the data? This could include helping residents make decisions related to health, safety, housing, education, and more.
- Instructional Overview:
- It’s not just about the map; it’s about sharing knowledge. Provide a clear instructional overview of your project, including a breakdown of the datasets used, the analytics process, and design decisions. Share your code and discuss the challenges and insights you encountered throughout the process. This transparency is key to fostering a collaborative, learning-focused environment.
- Stretch goal: Wireframing the map’s design
- The map and data presentation should feature compelling, intuitive, and easy-to-understand visuals. Consider a variety of design elements like color schemes, navigation, and layout that would best serve the target users.
- Keep accessibility in mind—ensure the map is designed in a way that can be easily understood by all users, including those with disabilities.
Why Participate?
Participating in this hackathon offers more than just a chance to innovate in the civic tech space—it’s an opportunity to make a real difference in how New Yorkers interact with their city. As a participant, you will:
- Gain hands-on experience with NYC Open Data and the tools necessary to create impactful data-driven solutions.
- Have the opportunity to showcase your project and have it used by the city’s residents and organizations to solve real-world challenges.
- Contribute to making NYC’s data more accessible and usable for everyone.
Who should participate?
We welcome participants from all backgrounds—whether you’re a developer, designer, data scientist, community organizer, or just someone passionate about making data more accessible. All skill levels are encouraged to join, and we’re particularly interested in solutions that take an equitable approach to presenting and engaging with data.
Example Themes and Focus Areas
Participants can choose from a variety of NYC Open Data themes to base their projects on. Some potential focus areas could include:
- Affordable Housing & Gentrification: Create a map that helps residents understand neighborhood changes over time, access to affordable housing, and potential areas at risk of displacement.
- Transportation Accessibility: Design a tool that helps individuals with disabilities or limited mobility navigate NYC’s public transportation system more efficiently.
- Environmental Justice: Build a map that highlights air quality, green spaces, and environmental hazards to help communities track environmental health risks.
- Public Health & Safety: Create visualizations that track health disparities, vaccination rates, or crime data across different neighborhoods to give residents insights into local health and safety issues.
How to Get Involved
To participate, simply sign up through the event website and start brainstorming ideas for your project. Whether you're working individually or as part of a team, we encourage you to dive into [NYC Open Data’s resources] (https://opendata.cityofnewyork.us/projects/) and explore the datasets available for mapping.
Project Updates
Contributors needed
Researchers
You must have a foundational understanding of data analysis and strategy on visualizing data for effective storytelling.
Responsibilities:
- Design and develop questionnaires to support data visualization projects, providing context for map design.
- Create research strategies that align with the goals of equitable mapping and community impact.
- Synthesize insights to refine data collection processes and enhance overall project strategy.
- Collaborate with the team to ensure research informs impactful and inclusive visualizations.
Qualifications:
- 3+ years of experience in data research or analysis.
- Familiarity with open data platforms and tools (e.g., Python, SQL, GIS).
- Strong communication skills and attention to detail.
- Passion for using data to create equitable solutions.
Example Tasks:
- Create a questionnaire that can support a data visualization project. This questionnaire will be converted into a supporting context or research guide that informs the visualization of a map
- Create a strategy that will support the purpose of mapping a Research Topic. View the sample proposals to get an idea of why Equitable Mapping supports a community.
- As a the researcher, you must be able to share valuable insights to inform a strategy that will help improve the data collection experience
Getting Started
Welcome hackathon participants, mentors and builders. We are so excited to work with you!
Stay tuned for more event details, check out The Open Sprints Teamspace for annoucements and additional resources to help you get started. Here's everything you need to know about Project Great Dane.