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Social and Behavioral Sciences Commons

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Urban Studies and Planning

Selected Works

Selected Works

2017

Community data analytics

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Super Roundtable, “From Data To Decisions At Your Nonprofit”: Event Description And Assessment, Michael P. Johnson Jr. Jun 2017

Super Roundtable, “From Data To Decisions At Your Nonprofit”: Event Description And Assessment, Michael P. Johnson Jr.

Michael P. Johnson

On April 28, 2017, Tech Networks of Boston hosted an extended roundtable event to give nonprofit professionals an introduction to storytelling and decision-making with data, allowing the notion of ‘data’ (qualitative and quantitative), ‘storytelling’ (descriptive and explorative analysis through words, numbers and pictures) and ‘decision-making’ (identifying decision opportunities, quantifying values, generating alternatives and choosing most-preferred courses of action) to be understood as broadly as possible.  This document summarizes the event, presents some event feedback and discusses next steps in the area of nonprofit and community data analytics and decision science.


Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr. Jan 2017

Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations use data for program design, services provision and strategic planning. However, CBOs often have limited ability to identify, access and apply these data. Thus, CBOs may make decisions on the basis of inadequate data, or limited understanding of the local environment, or limited ability to generate mission-aligned solutions.Community data analytics (CDA) uses local know-how and clearly-articulated values in order to transform data into action. CDA is rooted in principles of operations research and management science for public benefi#12;t. These principles include: active participation by local stakeholders to identify problems of interest; a critical perspective on issues of problem …