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Data analytics

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Articles 1 - 7 of 7

Full-Text Articles in Urban Studies and Planning

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. Aug 2017

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. Recent research, inspired by local responses to the housing foreclosure crisis, and developed in cooperation with Boston-area CDCs, has resulted in a collection of applications that can assist CDCs and similar organizations to design local interventions for acquisition and redevelopment of housing. This paper describes these applications. The first of these is values and objective design, i.e. the process of identifying decision opportunities. The second of these is data analytics, or …

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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.

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From Data To Decisions At Your Nonprofit, Michael P. Johnson Jr., George Chichirau, Jason Wright Apr 2017

From Data To Decisions At Your Nonprofit, Michael P. Johnson Jr., George Chichirau, Jason Wright

Michael P. Johnson

In recent years, discussions about ‘data analytics,' ‘big data’ and ‘performance management’ have tended to focus on organizations’ needs to collect, store, analyze, and make productive use of mostly-quantitative data to ensure that their activities are best-aligned with their missions. Without minimizing the importance of training, software and hardware selection, and organization design, there is also a need for organizations to make the best decisions they can using all data that are available – including qualitative data that may be hard to capture in information systems.
    
The goal of this Super Roundtable is to enable organizations to improve their …

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Decision Modeling For Housing And Community Development: #11;A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. Nov 2016

Decision Modeling For Housing And Community Development: #11;A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. While CDC employees have significant experience in diverse application areas, they often face limitations in acquiring, analyzing and sharing data, and using these data to solve decision problems whose solutions can generate novel strategies to address localized needs. Recent research, inspired by local responses to
the housing foreclosure crisis, and developed in cooperation with Boston‐area CDCs, has resulted in a collection of analytic methods and applications that can assist CDCs and similar organizations …

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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 …

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

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Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr. Oct 2014

Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr.

Michael P. Johnson

The foreclosure crisis in the U.S. has resulted in immense economic and social losses for individuals and neighborhoods. Some neighborhoods face long-term declines in population and economic activity that have been compounded by the foreclosure crisis. How can government and non-profit organizations design responses to neighborhood distress that reflect distinctive community characteristics and are consistent with long-term policy and planning goals? In this talk, I discuss alternative decision modeling strategies that support neighborhood health. Where foreclosure responses are likely to ensure that neighborhoods remain vital places for residential housing, productive strategies may include property acquisition and redevelopment. Other neighborhoods, however, …

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