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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 …


Success Measures For Local Economic Development: Project Final Report, Michael P. Johnson Jr., Sandeep Jani Nov 2016

Success Measures For Local Economic Development: Project Final Report, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

No abstract provided.


Community-Engaged Decision Modeling For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani Nov 2015

Community-Engaged Decision Modeling For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

This presentation contains current results from a research project to identify success metrics and decision opportunities for Boston Main Streets organizations. It represents an application of qualitative decision analytic methods for values and objectives design


Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities: Wiley Interview, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, Rachel B. Drew Oct 2015

Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities: Wiley Interview, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, Rachel B. Drew

Michael P. Johnson

This is an interview with staff at John Wiley & Sons regarding my book "Decision Science for Housing and Community Development: Localized and Evidence‐Based Responses to Distressed Housing and Blighted Communities" that was published by Wiley in 2015. It describes the motivation for the book, essential knowledge my co-authors and I would like each reader to take away from the book, and our assessment of the book's contribution to research and practice.


Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman Jul 2015

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Many older cities in the United States confront the problem of long-term decline in population and economic activity resulting in blighted conditions that make conventional revitalization initiatives unlikely to succeed. Smart shrinkage, a planning approach that emphasizes alternative land uses while preserving quality of life, offers a way for cities to remain desirable places to live and work. However, there is little research on empirical methods to support planning decisions consistent with smart shrinkage. We present results from two studies with planners from the City of Baltimore that provide novel insights regarding ways in which planners can perform vacant property …


Researching What Matters With Community Members: Session Introduction, Michael P. Johnson Jr. Jun 2015

Researching What Matters With Community Members: Session Introduction, Michael P. Johnson Jr.

Michael P. Johnson

Data and technology can and do change people’s lives, but most often they are conceived as market-driven entities, where changes in people’s lives arise from consumption of goods and services they pay for. Of course, government is a big user of technology and data, but impacts are usually aggregate in nature, not usually targeted at specific communities. Yet, with inequality and structural barriers to economic and social progress quite high in the U.S., can there be a way to think of data and technology as a means to support individual and group opportunity, engagement, action for social justice? The purpose …


Community Development Analytics: From Data To Decisions For Boston Main Streets, Michael P. Johnson Jr., Sandeep Jani Jun 2015

Community Development Analytics: From Data To Decisions For Boston Main Streets, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

A successful Main Street organization should be able to identify community strengths and deficits, to formulate a range of potentially effective local initiatives for economic and neighborhood development, to implement select initiatives using the best mix of volunteer and paid resources, to share data and best practices among all Boston Main Street districts, and to communicate project progress and outcome measures with the Office of Business Development. This project seeks to help Boston Main Street DIstricts operate more effectively by articulating values, identifying performance metrics and choosing decision opportunities. We present preliminary study results from a survey of Boston Main …