[{"data":1,"prerenderedAt":63},["ShallowReactive",2],{"page-config-/news/open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai":3,"news-post-open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai":38,"news-post-open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai-authors":62},{"id":4,"title":5,"body":6,"description":10,"extension":13,"hero":14,"meta":32,"navigation":15,"path":33,"sections":34,"seo":35,"stem":36,"__hash__":37},"pages/pages/news.md","News",{"type":7,"value":8,"toc":9},"minimark",[],{"title":10,"searchDepth":11,"depth":11,"links":12},"",2,[],"md",{"showHero":15,"title":16,"badge":17,"description":18,"image":19,"imageCredit":20,"backgroundImage":21,"links":22},true,"Recent News & Updates","Latest Posts","Stay updated with the latest news, events, interviews, and videos from our community.","/images/news.webp","Sebastian Pfütze","/images/news-hero-bg.png",[23,28],{"label":24,"to":25,"target":26,"type":27},"Subscribe","https://mailchi.mp/4337f0e3e319/9262kjy9ck","_blank","primary",{"label":29,"to":30,"type":31},"Contact Us","/contact","secondary",{},"/pages/news",null,{"title":5,"description":10},"pages/news","RH8LB8jvO_3y-r_SCCELEeG-ZVvaq9CqOUgvw53iVMY",{"id":39,"title":40,"author":41,"authors":34,"body":42,"category":52,"date":43,"description":46,"duration":34,"endTime":34,"extendedContent":34,"extension":54,"featured":55,"heading":45,"image":53,"location":34,"locationType":34,"mainContent":47,"meta":56,"navigation":15,"path":57,"registrationLink":34,"seo":58,"slug":44,"startTime":34,"stem":59,"tags":60,"videoUrl":34,"__hash__":61},"blogposts/blogposts/open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai.json","Open Data And Better Questions Engaging New Yorkers To Develop Questions That Matter In The Age Of Ai","Adam Zable",{"date":43,"slug":44,"heading":45,"description":46,"mainContent":47,"author":41,"tags":48,"category":52,"image":53},"2026-04-20T12:00:00","open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai","Open Data and Better Questions: Engaging New Yorkers to Develop Questions that Matter in the Age of AI","On March 27, as part of NYC Open Data Week, The GovLab, Brooklyn Public Library, and the Alliance for Public Interest Technology at New York University convened a “Questions Lab” to explore how open data can better reflect and respond to the needs of New Yorkers. The session was supported by a group of volunteers and collaborators, including students and faculty from NYU, some of whose reflections on the event are featured below.","\u003Cp dir=\"ltr\">On March 27, as part of&nbsp;\u003Ca href=\"https://opendataweek.nyc/\">NYC Open Data Week\u003C/a>,&nbsp;\u003Ca href=\"https://thegovlab.org/\">The GovLab\u003C/a>,&nbsp;\u003Ca href=\"https://www.bklynlibrary.org/\">Brooklyn Public Library\u003C/a>, and the&nbsp;\u003Ca href=\"https://alliance.hosting.nyu.edu/\">Alliance for Public Interest Technology at New York University\u003C/a>&nbsp;convened a &ldquo;\u003Ca href=\"https://blog.thegovlab.org/archive/the-100-questions-initiative-state-of-play-lessons-learned-and-next-steps\">Questions Lab\u003C/a>&rdquo; to explore how open data can better reflect and respond to the needs of New Yorkers. The session was supported by a group of volunteers and collaborators, including students and faculty from NYU, some of whose reflections on the event are featured below.\u003C/p>\n\u003Cp dir=\"ltr\">At a time when cities are producing more data than ever, the challenge extends beyond access to relevance, demand, and use. Data may be available, but it is not always aligned with the questions people have, the needs they are trying to meet, or the decisions they face. Too often, there is a disconnect between the supply of data and the demand for answers, between what is published and what is needed to inform action.\u003C/p>\n\u003Cp dir=\"ltr\">Led by The GovLab&rsquo;s Stefaan Verhulst in collaboration with Brooklyn Public Library&rsquo;s Diana Plunkett and NYU Professor Manny Patole, the session focused on addressing a growing &ldquo;question deficit&rdquo;: the gap between available data and the questions needed to turn that data into meaningful insight and action.\u003C/p>\n\u003Ch3 dir=\"ltr\">\u003Cimg src=\"https://cms.thegovlab.com/assets/0055eb33-f9b3-472e-b681-a2dbfb6391e4.JPG?width=1000&amp;height=667\" alt=\"Dsc F0201\">\u003C/h3>\n\u003Ch3 dir=\"ltr\">OPENING DISCUSSION\u003C/h3>\n\u003Cp dir=\"ltr\">The session began with a framing on the role of questions in shaping how data creates value. While open data initiatives have traditionally focused on publishing datasets, far less attention has been paid to how questions are identified, formulated, and prioritized. The central constraint is not the availability of data, but the absence of well-defined, actionable questions.\u003C/p>\n\u003Cp dir=\"ltr\">Verhulst positioned the Questions Lab as part of a broader effort to build a more participatory approach to question-setting, including through the 100 Questions Initiative, a process through which data-actionable questions are crowdsourced and prioritized. Rather than starting from available data, this approach begins with lived experience and translates real needs into questions that can guide data use and collection.\u003C/p>\n\u003Cp dir=\"ltr\">\u003Cimg src=\"data:image/png;base64,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\" width=\"624\" height=\"352\">\u003C/p>\n\u003Ch3 dir=\"ltr\">GROUP DISCUSSIONS\u003C/h3>\n\u003Cp dir=\"ltr\">The 20 New Yorkers who participated then broke into smaller groups organized around key domains drawn from the Mayor&rsquo;s platform: Affordability, Housing, Early Childhood and Education, and Labor and Small Business.\u003C/p>\n\u003Cp dir=\"ltr\">Each group followed a structured process to move from issues to data-actionable questions. Participants identified key themes, refined them into specific components, developed questions that could be addressed using data, and mapped those questions to relevant NYC Open Data and other datasets. This created a clear link between community priorities, available data, and potential pathways to action.\u003C/p>\n\u003Cp dir=\"ltr\">After deliberation, the full group reconvened and each subgroup shared the questions they identified as most important.\u003C/p>\n\u003Ch3 dir=\"ltr\">EMERGING QUESTIONS AND INSIGHTS\u003C/h3>\n\u003Cp dir=\"ltr\">Affordability\u003C/p>\n\u003Cp dir=\"ltr\">The affordability discussion expanded to capture the full set of costs shaping life in New York City, including housing, childcare, food, transportation, healthcare, employment, and leisure. Participants framed affordability in terms of thresholds and tradeoffs, focusing on what it takes to maintain stability, participate in community life, and build toward longer-term goals.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">The distinction between surviving and thriving emerged as a central theme, alongside the cumulative burden of everyday expenses and the added costs of navigating life without shared support. Participants also highlighted challenges in accessing services, pointing to a persistent gap between service availability and discoverability. Existing programs are often difficult to find and navigate due to limited awareness and fragmented systems. This raised questions about how open data, and potentially AI tools, could improve visibility and access to services that support community connection.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">In the shareback, the group centered on three questions: How do we ensure that those born and raised in NYC can afford to remain in the city over their lifetimes? What happens to the city when people with talent and knowledge are priced out? And how can residents more easily find and access free or low-cost public programs and services?\u003C/p>\n\u003Cp dir=\"ltr\">Housing\u003C/p>\n\u003Cp dir=\"ltr\">Participants described housing as an interconnected system shaped by legal, economic, social, and environmental forces. Discussions linked tenant and landlord dynamics, zoning and regulation, redlining and segregation, financialization, and short-term rentals, alongside concerns about affordability, homeownership, and access to shelter.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">The group also emphasized neighborhood identity, public space, and community connection, as well as environmental risks such as lead exposure and air quality. These factors interact to influence stability, safety, and the ability to remain in place. Housing support, governance, and access to services were also raised as key components of the broader system.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">In the shareback, the group focused on questions of both aspiration and constraint: What does ideal housing in New York City look like, and how far is the current system from that vision? What land is available for new development, and what is the condition of existing housing stock?\u003C/p>\n\u003Cp dir=\"ltr\">Early Childhood and Education\u003C/p>\n\u003Cp dir=\"ltr\">The early childhood and education discussion focused on how resources, access, and outcomes are distributed across students and communities. Participants raised questions about where students are located relative to schools and services, the availability and quality of childcare and aftercare, and how resources such as funding, teachers, facilities, and nutrition are allocated. Issues of equity were central, including language access, disability support, and differences in travel time and safety. Participants also expressed interest in how progress is tracked and how outcomes are measured in a changing technological landscape.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">In the shareback, these themes converged around questions of distribution and accountability: How are quality, access, and cost balanced across the system? How is nutrition integrated into student outcomes? And how much funding is available, and where does it actually go?\u003C/p>\n\u003Cp dir=\"ltr\">Labor and Small Business\u003C/p>\n\u003Cp dir=\"ltr\">The labor and small business discussion surfaced a set of pressures affecting both workers and local enterprises, including healthcare, benefits, wages, regulatory conditions, and access to capital and support. Participants noted how these factors are interconnected, with changes in one area shaping outcomes in others. Concerns about cost-of-living pressures, retirement security, and aging in place underscored the importance of long-term stability, while discussions of unions and public programs raised questions about accountability and effectiveness.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">In the shareback, the group focused on questions related to transparency and responsibility: What evidence is needed to assess whether union welfare funds are being spent effectively compared to other public employee systems? What obligations do different levels of government have in providing healthcare? And how much funding is available at the local level to support public service employees aging in place?\u003C/p>\n\u003Ch3 dir=\"ltr\">\u003Cimg src=\"https://cms.thegovlab.com/assets/d6120d58-2556-4235-a5fc-19c5c64ff791.JPG?width=1000&amp;height=667\" alt=\"Dsc F0664\">\u003C/h3>\n\u003Ch3 dir=\"ltr\">KEY TAKEAWAYS\u003C/h3>\n\u003Cp dir=\"ltr\">Three themes stood out across the discussions. First, participants approached public issues as interconnected systems rather than discrete categories. Questions about affordability, housing, education, and labor consistently overlapped, reflecting how these challenges are experienced in practice, even as public data remains organized sector by sector.\u003C/p>\n\u003Cp dir=\"ltr\">Second, access and discoverability emerged as persistent challenges across topics. Participants focused on where public programs, services, and resources are located, who can access them, whether they are reaching people in practice, and how well they align with actual patterns of need.\u003C/p>\n\u003Cp dir=\"ltr\">Third, the session showed the importance of starting with lived experience. The strongest questions begin with everyday challenges and then connect to data. This highlights the need for stronger alignment between community priorities, the questions being asked, and the data systems used to answer them.\u003C/p>\n\u003Cp>\u003Cstrong>&nbsp;\u003C/strong>\u003C/p>\n\u003Ch3 dir=\"ltr\">LOOKING AHEAD\u003C/h3>\n\u003Cp dir=\"ltr\">The Questions Lab reinforced the importance of focusing on the questions that data is meant to answer. It also demonstrated a replicable model for connecting community insight to data-driven action: starting with lived experience, translating that into structured questions, and linking those questions to data.\u003C/p>\n\u003Cp dir=\"ltr\">The questions identified during the session point to opportunities to improve how data is collected, shared, and applied across New York City. They also highlight the growing role of open data in the age of AI. As tools make it easier to access and analyze information, the central challenge is ensuring that the right questions are being asked and that systems are equipped to respond to them.\u003C/p>\n\u003Cp>\u003Cstrong>&nbsp;\u003C/strong>\u003C/p>\n\u003Cp dir=\"ltr\">As cities continue to invest in open data, embedding this kind of participatory approach will be critical to ensuring that data is not only available, but meaningful and actionable. Strengthening the connection between community perspectives and data systems will help ensure that data more effectively informs decisions, guides policy, and supports more inclusive public problem-solving.\u003C/p>\n\u003Cp>\u003Cstrong>&nbsp;\u003C/strong>\u003C/p>\n\u003Cp dir=\"ltr\">REFLECTIONS\u003C/p>\n\u003Cp dir=\"ltr\">Manny Patole, NYU (Professor and Co-Organizer)\u003C/p>\n\u003Cp dir=\"ltr\">Open Data Week with The Governance Lab and Brooklyn Public Library was a meaningful reminder that engaged communities remain deeply interested in shaping how data informs public life. It was especially valuable to see students experience, in real time, how classroom readings and lessons translated directly into practice through the work led by Stefaan and GovLab.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">The event reflected many of the principles we discuss in class: that community and question science are ongoing, relational efforts. Only through human interaction, conversation, and trust can we better understand what communities want, what they need, and develop questions and data practices that produce useful public knowledge.\u003C/p>\n\u003Cp>\u003Cstrong>&nbsp;\u003C/strong>\u003C/p>\n\u003Cp dir=\"ltr\">Claudia Duran Garcia, NYU Student Volunteer\u003C/p>\n\u003Cp dir=\"ltr\">The conversation in the &ldquo;Labor and Small Business&rdquo; breakout group sparked instantly. Engaging with fellow New Yorkers across generations with unique lived experiences was a highlight of the workshop. Hearing from a retired union teacher seeking data to defend healthcare benefits that were once promised underscored a vital truth: data tells us the &ldquo;what&rdquo; but people tell us the &ldquo;why&rdquo;.\u003C/p>\n\u003Cp dir=\"ltr\">This event reinforced my belief that data-driven and mission-driven decision-making must go hand in hand. I strongly resonated with the observation that we often prioritize data collection over the thoughtful formulation of the questions themselves. While formulating well-crafted questions is difficult, it is a critical step in driving meaningful change. The \"Questions Lab\" (Q-Lab) concept is a great initiative for researchers, activists, and decision-makers alike. I am eager to see how the Q-Lab framework fosters a more inclusive, responsive New York.\u003C/p>\n\u003Cp dir=\"ltr\">&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">Chaitanya Kukreja, NYU Student Volunteer\u003C/p>\n\u003Cp dir=\"ltr\">Attending the Open data and Better Questions event during NYC Open Data Week was a grateful experience for me. This was the first time formally I sat in a room where real citizens/public (New Yorkers, regardless of background) discussed issues through the lens of their Lived experience. The energy in the room was welcoming, creative and genuinely collaborative. Everyone&rsquo;s perspective was respected, and watching people organically choose the bigger categories(early childhood &amp; education,housing, affordability, labor and small business) according to their interest before drilling into specific questions showed me what real community engagement looks and feels like. I am someone who values education and the conversation around childcare and education was really good.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">People raised some questions like: where are quality childcare programs? How is the budget allocated, and where does it actually go? How to find quality teachers? These were not abstract questions they came from parents and people navigating their lives and finding good childcare/education for their children. One moment that made me understand more was discussion around school surveys that parents fill, where only few parents fill it, that partial response is rarely flagged making the data skew silently. It made me question reliability, consistency and trust: why should we trust data that doesn&rsquo;t capture the full picture? - of course there will not always be 100% participation but how do we ensure the data is trustful?\u003C/p>\n\u003Cp dir=\"ltr\">What also moved me was realizing how many people still don&rsquo;t know where data lives or how to access it and that is not just a technical gap but it is an awareness problem too.&nbsp;\u003C/p>\n\u003Cp dir=\"ltr\">This connects to something I now see more clearly through courses I take at CUSP and experiences I have had. A course that it connects to is Citizen and the City at CUSP, where we explore how communities use data, design thinking and appreciative inquiry to address urban challenges and co-creation of different community led projects. This event was that framework alive in a room. It also made me think about the AI dimension: How are education and childcare programs actually utilizing AI and how do we ensure it works meaningfully, rather than just existing or not used well? Also, I love to teach and love designing something meaningful for students that makes them grow and independent to think. This made me think about what the next generation (not just next but in fact the previous generations needed this too) truly needs: not just information delivery but development of creativity, critical thinking, and skills that prepare them for a future which we can&rsquo;t predict fully.\u003C/p>\n\u003Cp dir=\"ltr\">Trust, reliability, human judgement, passion, engagement, and intuition are things AI cannot substitute and this event reminded me that good data like good education has to be built with communities not just for them. The conversation during the event was wide ranging and unstructured - but that is part of community engagement and I love it. Through human judgement I chose to highlight what I believe can bring change/impact.\u003C/p>",[49,50,51],"data","ai","opendata","blog","https://cms.thegovlab.com/assets/1a4d596d-4172-4912-9a59-cfae7fcc6242","json",false,{},"/blogposts/open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai",{"title":40,"description":46},"blogposts/open-data-and-better-questions-engaging-new-yorkers-to-develop-questions-that-matter-in-the-age-of-ai",[49,50,51],"kBm9ScVhX3u3pCWztOcdTH6Q9hUa7M8jNLPzVFJTJeI",[],1777486775379]