Data-driven algorithms increasingly impact how governments make decisions. While the popular narrative remains that algorithmic governance promises to improve efficiency and impartiality, the on-the-ground reality can be far different. The use of data with historical prejudices (often unconsciously imparted to programs) on race, gender, religion, ethnicity, and other personal identifiers can severely bias how these digital tools make decisions. Consequently, the public requires knowledge of how algorithms influence government decision-making in urban places and citizens need understanding of what areas pose the greatest concerns for their own welfare. Our speakers consider the lessons learned from open data and smart city movements as they investigate how computational processes will increasingly shape the way geospatial information is organized and presented to citizens. This panel brings together experts from Geothink’s municipal, nonprofit, and academic partners to discuss the algorithmic city and its implications for citizen participation and government decision-making. This session also marks our final Geothink&Learn of the grant and maps a road forward for these emergent topics.