
Open data can be a powerful tool for community advocates working to solve local problems. There are a lot of... View Article
Continue readingOpen data can be a powerful tool for community advocates working to solve local problems. There are a lot of... View Article
Continue readingEvery day I work with cities to make government data more open and available to the public. I am not a data scientist or analyst, though – I'm a city planner. This is how my background in making cities better has helped my thinking about participatory urbanism and approach to opening data.
Continue readingUnderstanding how to use open data to meaningfully empower communities and tackle urban problems is not easy. Sunlight’s Open Cities team is dedicated to taking on this challenge. We’re launching a new newsletter to share the work we are doing to explore these questions alongside city halls throughout the county.
Continue readingFive new cities joined the What Works Cities project this week. We’re excited to start our work with three of them.
Continue readingOn September 19, we released the official first edition of A Guide to Tactical Data Engagement, our new resource designed to help city leaders and residents collaborate on increasing the social impact of open government data. As part of the kickoff, we hosted an online conversation all about the new guide. A recording of the webinar is now available.
Continue readingOur new guide builds on a strong foundation of ideas as well as feedback from city staff and community partners across the country. That community and their feedback helped shape this new edition.
Continue readingTwo processes that emphasize observing a community’s needs, experimenting with low-cost ways to meet those needs together with members of the community, and iterating based on feedback.
Continue readingAre you a city employee? Take a short survey to tell us what federal datasets you rely on most.
Continue readingWe compared open data from 141 cities and states to figure out what information sets residents want most. Here’s what we found.
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