This project studies the data science learning that takes place as members of the public explore and analyze open civic data related to their everyday lives. Government services, such as education, transportation, and non-emergency municipal requests, are becoming increasingly digital. Generally, program workshops and events aim to support participants in using such data to answer questions, such as: “How do City agencies respond to noise in my neighborhood?” and “How do waste and recycling services in my neighborhood compare with others?”
We seek to understanding how such programs are designed and facilitated to support diverse communities in accessing and meaningfully analyzing data will promote innovation and knowledge building in informal data science education
This project is a partnership with Oded Nov and Graham Dove of NYU. It is supported by an AISL Pilots and Feasibility grant from the National Science Foundation (Award no.: 2005890).