An interactive civic tech tool that visualizes trends in Community Boards across New York City. Explore the three dashboards below.
Scorecard tracking calendars, minutes, agendas, social media, and more for all 59 CBs across 5 boroughs.
Explore →AI-powered year-over-year analysis of Brooklyn CB needs statements (FY2024–FY2026), tracking how policy priorities evolve.
Explore →Trends in gender balance, age, race/ethnicity, and first-time appointees across Brooklyn CBs from 2022–2025.
Explore →The NYC Community Boards Dashboard is an interactive civic tech tool that visualizes trends in Community Board representation, priorities, and governance across New York City. It uses demographic reports, District Needs Statements, and policy themes to provide an accessible overview of how community boards reflect and respond to their neighborhoods. The dashboard empowers residents, advocates, researchers, and policymakers to explore patterns over time and gain insight into equity, engagement, and local decision-making. Get curious about local democracy!
This project is heavily enabled by AI. The website and analysis pipeline were generated by Claude Code and ChatGPT/Codex (vibecoding is so powerful!!). The initial results have been verified and validated, and the work is ongoing. The illustrations of the pigeons are generated by DALL·E 3.
This is an open-source project under the MIT License on GitHub: github.com/txinjiez/nyc-community-boards-dashboard.
Contributions and feedback are warmly welcomed—feel free to reach out to Tina at tina.zeng@yale.edu.
Tina Zeng is a student at Yale studying Global Affairs + Computing, Culture & Society at Yale. With her passions in civic and public interest technology, democratic innovation and social entrepreneurship, she hopes to leverage technologies like AI for social impact. Tina's experience serving on Brooklyn Community Board 11 (2023–2024) strengthened her commitment to participatory governance and motivated her to explore ways to make civic institutions more engaging, responsive and equitable.
This research project and dashboard originated as part of her class project in AI for Social Science Methods, taught by Daniel Karrell. Through the Dahl Research Fellowship at Yale's Institute for Social and Policy Studies, she continues to research Community Boards and expand this dashboard.
She presented the Dashboard at the NYC School of Data 2026, organized by BetaNYC, where she's an Associate Board Member (profile).
Feel free to reach out to tina.zeng@yale.edu or connect on LinkedIn!
The NYC Community Boards Dashboard is an interactive civic tech tool that visualizes trends in NYC Community Boards representation, priorities, and governance across New York City. It uses demographic reports, District Needs Statements, and policy themes to provide an accessible overview of how community boards reflect and respond to their neighborhoods. The dashboard empowers residents, advocates, researchers, and policymakers to explore patterns over time and gain insight into equity, engagement, and local decision-making. Get curious about local democracy!
This project is heavily enabled by AI. The website and analysis pipeline were generated by Claude Code and ChatGPT/Codex (vibecoding is so powerful!!). The initial results have very verified and validated, and the work is ongoing. The illustrations of the pigeons are generated by DALL·E 3.
This is an open-source project under the MIT License on GitHub:
github.com/txinjiez/nyc-community-boards-dashboard .
Contributions and feedback are warmly welcomed—feel free to reach out to Tina at tina.zeng@yale.edu.
Tina Zeng is a student at Yale studying Global Affairs + Computing, Culture & Society at Yale. With her passions in civic and public interest technology, democratic innovation and social entrepreneurship, she hopes to leverage technologies like AI for social impact. Tina’s experience serving on Brooklyn Community Board 11 (2023–2024) strengthened her commitment to participatory governance and motivated her to explore ways to make civic institutions more engaging, responsive and equitable.
This research project and dashboard originated as part of her class project in AI for Social Science Methods, taught by Daniel Karrell. Through the Dahl Research Fellowship at Yale’s Institute for Social and Policy Studies, she continues to research Community Boards and expand this dashboard.
She is anticipating submitting a proposal to present at the 2026 School of Data, organized by BetaNYC, where she’s an Associate Board Member (profile). The presentation will be a demo of the dashboard and an explanation of the methodology and development process.
Feel free to reach out to tina.zeng@yale.edu if you’re interested in chatting!