The Value Proposition of Circular City Data for Economic Development GovLab Unveils Work at NewLab’s Circular City Public Showcase

The GovLab
Jun 10 · 6 min read
The Circular City researchers (from left to right): Caroline McHeffey (Columbia University), Stefaan Verhulst (The GovLab), Andrew Young (The GovLab), Arnaud Sahuguet (Cornell Tech), and Nilda Mesa (Columbia University). Photography by Anna Anderson.
  • Cause-and-Effect Analysis: The use of circular data to better understand possible correlations and causalities as well as what variables make a difference for what type of problem.
  • Prediction: The use of circular data to enable new predictive capabilities for policymakers and others, allowing them to be more proactive and to assess future risks, needs, and opportunities.
  • Impact and Value Assessment: Circular data used to rapidly assess the results of their interventions to iterate on products and programs when necessary.
  • Ecosystem Support: Circular data’s capacity to make visible previously obscured inter-dependencies and their impacts on issues relevant to the economic health of the city, such as social cohesion at the neighborhood level.
The Circular City Data Value Canvas. Graphic by Anirudh Dinesh, The GovLab.
  • Explore new and innovative Business Models for leveraging circular data.
  • Consider the creation of Internal and External Intermediaries. To increase the value of circular data, a wide range of internal and external intermediaries can potentially add value, credibility, and rigor to data collaboratives.
  • Develop Safe Sandboxes for Innovation and Experimentation (vs. Procurement). Circular data projects need to be mindful of some of the important risks associated with even the most successful projects.
  • Focus on Resource Scarcity (among both the Demand and Supply). Circular data projects can often be initiated with minimal resources and goodwill among all parties, but require funding and additional resources to sustain themselves and scale.
  • Define Metrics and Gather Evidence. To be systematic, define and measure what success looks like. Although there are some early, often muted signals pointing to the impacts of circular data for economic development, the field is still largely built on a limited understanding of how circular data creates demonstrable positive outcomes.

    The GovLab

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    The Governance Lab improving people’s lives by changing how we govern. @thegovlab @nyutandon #opendata #peopleledinnovation #datacollab

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