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Urban Studies and Planning Commons

Open Access. Powered by Scholars. Published by Universities.®

Michael P. Johnson

Selected Works

Big data; Analytics; Community-based organizations

Articles 1 - 2 of 2

Full-Text Articles in Urban Studies and Planning

Data, Analytics And Community-Based Organizations: #11;Transforming Data To Decisions For Community Development, Michael P. Johnson Jr. Mar 2014

Data, Analytics And Community-Based Organizations: #11;Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.

Michael P. Johnson

Big data and analytics for community-focused nonprofits can improve analytic capabilities and increase impact. However, Community-based organization needs do not match well with conventional notions of data and analytics. Decentralized model for data-driven research may be preferred, but centralized model is dominant. CBOs can articulate data needs, but are often not yet able to access relevant data easily and use data effectively. Finally, certain values maximize impact of big data and analytics


Community-Based Analytics: Big Data And Decision Making For Community-Based Organizations, Michael P. Johnson Jr. Oct 2013

Community-Based Analytics: Big Data And Decision Making For Community-Based Organizations, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations face significant challenges in identifying data needs, and assembling data resources for service provision, strategy design and advocacy. We develop principles by which CBOs can develop and share large datasets in order to formulate and solve decision problems that improve the well-being of localized, often marginalized or distressed communities. We illustrate these ideas using field research from Boston, MA.