Join us for a 45 minute walk through Downtown Brooklyn to uncover New York City’s open datasets, smart cities infrastructure and other urban gems hidden in plain sight. Our objective is to explore an unseen part of New York City – this walking tour is led by Helpful Places in partnership with inCitu, Data Through Design and Numina. After the  walk we’ll settle into a nearby coffeeshop to discuss what we saw (and warm up!).

Dive into the heart of NYC’s immigration trends with us! This session is led by Carman Nareau and Justino Mora on Emerson Collective’s Technology team. Ideal for students, academics, policymakers, and data enthusiasts, this presentation focuses on the ethical usage of immigration data and its societal impact.

In this session, we will explore:

  • NYC’s immigration stats as told by analysis of data of the Executive Office of Immigration Review (EOIR), a publicly available data set that’s notoriously hard to understand but unparalleled in its insights
  • Considerations when using immigration data, including privacy, quality, and the potential harmful impact on immigrant communities if mishandled
  • Custom data visualizations and use cases of responsible data handling,

Join us to gain a deeper understanding of NYC’s immigration landscape and how we can ethically use data to move forward together. We’re excited to see you!

Uncover the unseen parts of Manhattan’s East Village through a 45-minute walking tour led by Helpful Places in partnership with Sarah Batchu, a nonprofit leader and public servant. Together, we will explore open datasets, smart cities infrastructure, and other urban gems hidden in plain sight.

After the 45-minute walk we’ll settle into a nearby coffeeshop to discuss what we saw (and warm up!). Details on the exact meetup location will be sent to those who RSVP a few days prior to the event.

Helpful Places is a social enterprise responsible for stewarding Digital Trust for Places and Routines (DTPR), an open source design system and data standard bringing transparency to technologies and data-collecting practices in public spaces.

Sarah Batchu is a nonprofit leader and public servant who is dedicated to building a city where every New Yorker can access the data that powers our city.

The Bronx River Alliance uses, collects, and analyzes data from countless sources to advocate for and improve the condition of the Bronx River and the communities that surround it. Join us to see how data has brought an urban river corridor back to life, and discuss ways in which environmental data accessibility can be improved to further environmental restoration and protection goals across the city and beyond.

We’ll kick off the event with a short presentation about the Bronx River Alliance – including the work we do and the challenges we face in collecting, organizing, and sharing data. Afterwards, we will open the floor for a collaborative brainstorming discussion about community data collection, especially around water quality and the overall environment of New York City, and have some time for attendees to chat with each other.

The last hour of the event will consist of an optional walking tour (handicap accessible) of Starlight Park and the Bronx River House

If you have shareable ecological data – whether you collect water samples, are an avid recorder of bird migrations, or work in a laboratory for soil analysis – please come prepared to discuss or even bring a sample!

Email christian.murphy[at] with any questions.

Join us for an insightful exploration & discussion of the Cure Violence program! During this session, attendees will gain insights into the CURE Violence program and listen to discussions on program evaluation, data utilization, and recommendations. This event is for policymakers, community leaders, researchers, and anyone passionate about fostering safer, healthier communities.

Cure Violence uses a public health approach to reduce gun violence. It aims to prevent conflicts from escalating, support individuals at high risk of violence, and shift social norms. You will briefly hear more about Cure and its history, and the results of our analysis of its effectiveness. This will set the stage for a panel discussion featuring stakeholders invested in building safer communities in NYC.

Panelists include Jeffrey A. Butts, Director of the Research and Evaluation Center at John Jay College of Criminal Justice, Council members Althea Stevens and Yusef Salaam, Chairs of the Committee on Children and Youth and Public Safety respectively, R. Brent Decker, Chief Program Officer of Cure Violence Global, and Hector Cuevas, Vice President of Education & Youth Development programs at CAMBA and moderated by Rose Martinez, Assistant Deputy Director of the NYC Council’s Data Team.

Interested in how NYC can better collect demographic data by ethnicity? Join us at “Why Everyone Wins When NYC Embraces Disaggregated Data” on Monday, March 18 10:30am-12:00pm where the Coalition for Asian American Children and Families (CACF) will present on the critical importance of disaggregating demographic data by ethnicity for Asian communities in NYC and convene an engaging discussion for diverse stakeholders across communities, agencies, elected officials among others to brainstorm how we can collaborate together on making disaggregated ethnicity data a reality for NYC. RSVP here.

For over a decade, CACF has led the Invisible No More Campaign, fighting for disaggregated data, steering a coalition of diverse partners across communities and industries that successfully garnered the NYC’s 2016 demographic data laws and NYS’s first-ever Asian American and Native Hawaiian Pacific Islander data disaggregation law in 2021. CACF is focused on ensuring that implementation of ethnicity-based data disaggregation leads to the data representation that all communities urgently need and deserve.

This event will be in-person and 1.5 hours in duration. CACF’s Invisible No More team will present an overview of its longstanding advocacy for ethnicity-based data disaggregation and share an analysis of a recent Department of Education dataset on class size and demographics by middle school and high school. Then there will be a discussion between attendees about how we can work together toward agency-level ethnicity-based data disaggregation and a shareback. The final portion of the in-person event will be a networking session for attendees to meet one another.


The New York City Workforce Development System helps hundreds of thousands of people each year in their career journeys. Come learn about a multi-year initiative to standardize, centralize, and analyze data from dozens of NYC programs.

The Mayor’s Office for Economic Opportunity (NYC Opportunity) helps the City apply evidence and innovation to reduce poverty and increase equity. Within NYC Opportunity, the data and product teams work with multiple city agencies to integrate data on workforce programs. The Workforce Data Portal is a product of this integrated data system that visualizes data from NYC-funded workforce programs to provide policymakers, practitioners, and advocates a more complete picture of workforce development activities funded by the City of New York. The project is designed to overcome information silos using modernized technology and coordinate agency collaboration.

This session will include an overview of the project, a demo of the Workforce Data Portal, a summary of user research, examples of analysis, and an opportunity for participants to express ideas on various aspects of the project.

The health data resources on the New York City Health Department website can help you incorporate data into research, planning, or evaluation. Learn how to access and use Health Department data from the experts who work on these public-facing data resources!

All you need is a computer with internet browsing capability.

In this session, we will cover the Community Health Profiles, EpiQuery, the Environment and Health Data Portal, COVID data, and NYC Open Data resources from the Health Department.

Join David Tussey, formerly of the NYC Department of Information Technology and Telecommunications, and Dr. Jan Yun, a professor at UConn for a presentation that explores data cleansing, a necessary first step in any data science or analysis effort.

During the event we will explore six areas of data cleanliness: structural issues, missing/blank data, validating data types, identifying invalid values, identifying logical inconsistencies, and identifying redundant data elements. We’ll use 311 service request data from 2022-2023 that was analyzed using custom software written in R. Even with only two calendar years, this is still  approximately 6.4 million records!

Our goal is for attendees to come away with an understanding of real-world data cleanliness issues and some approaches to account for them.

This presentation is targeted to any analyst engaged in data science efforts. It is intended to be illustrative of the kinds of challenges faced by data scientists when analyzing large datasets. After there presentation there ample opportunity for Q&A.


Rats in NYC are widespread, as they are in many densely populated areas. As of October 2023, NYC dropped from the 2nd to the 3rd place in the annual “rattiest city” list released by a pest control company.

Join Dr. Jun Yan and data science students from the University of Connecticut for presentations that delve into the presence of rats in the city, including a detailed analysis of city-wide rat sighting and rodent inspection data from the City’s Health Department. The student’s work includes descriptive statistics and visualizations of rat sightings across the city. The maps will be further analyzed to uncover correlations between rat sightings and various factors, including sociodemographic profiles, housing characteristics, and the physical landscape of the city. Additionally, we will share our investigation into the broader impact of rat sightings on other civic functions within NYC, like restaurant inspections, by integrating other NYC Open Data sources.

This engaging and informative workshop will be conducted by a selected group of students from the University of Connecticut, enrolled in the Introduction to Data Science course. These students have completed this work as part of their midterm assignment. They will show the results from their analyses as well as the Python code that generated the analyses. The workshop is open to anyone who is interested in urban challenges or data science.