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Michael P. Johnson

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Articles 1 - 30 of 44

Full-Text Articles in Policy Design, Analysis, and Evaluation

Strengthening The Profession Through Diversity And Inclusion-Related Research Within Or, Michael P. Johnson Jr. Oct 2018

Strengthening The Profession Through Diversity And Inclusion-Related Research Within Or, Michael P. Johnson Jr.

Michael P. Johnson

Diversity, equity and inclusion are well-studied and widely-practiced areas in organization design, human resources and many areas of social sciences. However, the science, technology, engineering and math (STEM) disciplines are somewhat newer to the notion of diversity, equity and inclusion as a way to improve professions and contribute to substantive research within component disciplines. This is especially true for operations research and the decision sciences. In this talk, given to an interdisciplinary audience of engineering professors, administrators and students, I provide an introduction to operations research, to diversity, equity and inclusion within STEM and OR specifically, ways that DEI might ...


Community-Engaged Operations Research: Localized Interventions, Appropriate Methods, Social Impact, Michael P. Johnson Jr. Jan 2018

Community-Engaged Operations Research: Localized Interventions, Appropriate Methods, Social Impact, Michael P. Johnson Jr.

Michael P. Johnson

Community-engaged operations research is an extension of multiple OR/MS traditions to support participatory research, localized impact and social change. It applies critical thinking, evidence-based policy analysis, community participation and decision modeling to local interventions. It emphasizes the needs, voices and values of disadvantaged and marginalized populations. It rests on a foundation of meaningful engagement with communities. Through a survey of current scholarship in two complementary areas of inquiry, ‘community operational research’ (referring to work by primarily European researchers) and ‘community-based operations research’ (referring to work by primarily American researchers), I develop principles for community-engaged OR, present critical questions that ...


Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman Dec 2015

Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman

Michael P. Johnson

This book addresses the challenges and opportunities associated with the use of decision science and information technologies to help stabilize and revitalize distressed urban communities in the United States.

While cities in the U.S. grow and decline at various rates and for different underlying reasons, neighborhoods within cities that have faced sustained demographic and socio-economic challenges over time may have multiple factors in common, such as physical blight, widespread vacancies, underserved and marginalized populations and, in some cases, local markets that do not respond to traditional economic development strategies. These distressed communities are often indicative of high levels of ...


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 ...


Reconstructing Neighborhoods: Case Studies In Foreclosed Housing Acquisition And Redevelopment By Community Development Corporations, David A. Turcotte, Michael P. Johnson Jr., Emily Vidrine, Rachel B. Drew, Felicia M. Sullivan Dec 2014

Reconstructing Neighborhoods: Case Studies In Foreclosed Housing Acquisition And Redevelopment By Community Development Corporations, David A. Turcotte, Michael P. Johnson Jr., Emily Vidrine, Rachel B. Drew, Felicia M. Sullivan

Michael P. Johnson

Community development corporations (CDCs) play a central role in addressing the foreclosed housing crisis in America’s urban neighborhoods. The success of CDCs, however, is closely tied to market forces, neighborhood characteristics, and policies at multiple levels, as well as factors internal to CDCs. What factors support or impede the success of CDCs that operate in such complex environments? We examine the experiences of two CDCs serving two small, ethnically diverse cities in Massachusetts regarding resources, policy, practices and local markets related to neighborhood revitalization. We derive lessons about the factors internal and external to these CDCs that affect their ...


Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr. Nov 2014

Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.

Michael P. Johnson

A multi-site case study applies value-focused thinking methods in a community engaged research framework within three organizations. All three organizations are community development corporations (CDCs), a type of community based organization (CBO) who direct assets and efforts toward housing stock and neighborhood improvement. Objectives hierarchies were developed for the three sites. A set of common aspects of these structures suggest ways to operationalize the generic mission of CDCs. Other aspects which vary across sites can be related to specific characteristics of the organizations and the communities in which they operate. The process of applying value-focused thinking is also compared across ...


Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr. Nov 2014

Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.

Michael P. Johnson

This is an electronic supplement to the manuscript "Value Focused Thinking for Community-Based Organizations: Objectives and Acceptance in Local Development", published by the EURO Journal on Decision Processes.


Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman Oct 2014

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 in certain neighborhoods have resulted in blighted conditions that make conventional revitalization initiatives based on increased residential and commercial development unlikely to succeed. Planning scholars have developed a theory of smart shrinkage in which emphasis is placed on non-residential land uses that can maintain and improve quality of life while positioning some land for future growth-oriented activities (Hollander and Németh 2011). Smart shrinkage research and practice involves application of methods from information technology and decision science to identify vacant and abandoned parcels ...


Stochastic Models For Strategic Resource Allocation In Nonprofit Foreclosed Housing Acquisitions, Armagan Bayram, Senay Solak, Michael P. Johnson Jr. Jan 2014

Stochastic Models For Strategic Resource Allocation In Nonprofit Foreclosed Housing Acquisitions, Armagan Bayram, Senay Solak, Michael P. Johnson Jr.

Michael P. Johnson

Increased rates of mortgage foreclosures in the U.S. have had devastating social and economic impacts during and after the 2008 financial crisis. As part of the response to this problem, non-profit organizations such as community development corporations (CDCs) have been trying to mitigate the negative impacts of mortgage foreclosures by acquiring and redeveloping foreclosed properties. We consider the strategic resource allocation decisions for these organizations which involve budget allocations to different neighborhoods under cost and return uncertainty. Based on interactions with a CDC, we develop stochastic integer programming based frame- works for this decision problem, and assess the practical ...


Practicum 2012 - 2013: Lift Boston Client Well Being Study, Lisa Kalimon, Buki Usidame, Ryan Kling, Ryan Mclane, Ryan Whalen, Ana M. Sanchez, Tanya Stepasiuk, Michael P. Johnson Jr. Oct 2013

Practicum 2012 - 2013: Lift Boston Client Well Being Study, Lisa Kalimon, Buki Usidame, Ryan Kling, Ryan Mclane, Ryan Whalen, Ana M. Sanchez, Tanya Stepasiuk, Michael P. Johnson Jr.

Michael P. Johnson

A Boston based non-profit and a team of public policy PhD students engaged in several months of collaborative problem identification and goal setting focused on the effectiveness of the organization’s unique service delivery model. The nonprofit uses volunteer advocates and a goal-oriented process with no eligibility criteria to assist clients in distress. We collected administrative data, administered a survey, and conducted interviews to explore client well-being.


Fall 2013 Office Schedule, Michael P. Johnson Jr. Sep 2013

Fall 2013 Office Schedule, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.


Property Value Impacts Of Foreclosed Housing Acquisitions Under Uncertainty, Michael P. Johnson Jr., Senay Solak, Rachel B. Drew, Jeffrey Keisler Aug 2013

Property Value Impacts Of Foreclosed Housing Acquisitions Under Uncertainty, Michael P. Johnson Jr., Senay Solak, Rachel B. Drew, Jeffrey Keisler

Michael P. Johnson

Community development corporations seek to stabilize neighborhoods affected by the recent foreclosure crisis through acquisition and redevelopment of distressed properties. One rationale for this work is the alleviation or avoidance of negative foreclosure impacts. We estimate the lost value to proximate properties associated with a single foreclosure through a Markov chain representing probabilistic transitions between foreclosure stages. We apply our model to a case study of foreclosure properties in Chelsea, MA. A rank ordering by estimated property value impacts indicates significant potential gains in social value as compared to current community development practice. We extend our basic model to address ...


Maintain, Demolish, Re-Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli Jul 2013

Maintain, Demolish, Re-Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli

Michael P. Johnson

Decline, measured in population growth rates, population levels, housing stock and economic activity, and associated increases in vacant land in urban areas, is a reality for cities and regions within the United States. However, planners increasingly see ‘decline’ as a development state to anticipate and a development strategy to consider. For example, a place may lose population while continuing to provide a high quality of life and social value. Vacant land is central to planning issues related to decline: some currently-occupied housing may likely become abandoned and demolished, yielding vacant lots, while some currently vacant lots may be inputs to ...


Uplifting: Improvements In Boston Area Client Well-Being, Ryan Kling, Lisa Kalimon, Tanya Stepasiuk, Bukola Usidame, Ryan Mclane, Ryan Whalen, Ana Maria Sanchez, Michael P. Johnson Jr. Jun 2013

Uplifting: Improvements In Boston Area Client Well-Being, Ryan Kling, Lisa Kalimon, Tanya Stepasiuk, Bukola Usidame, Ryan Mclane, Ryan Whalen, Ana Maria Sanchez, Michael P. Johnson Jr.

Michael P. Johnson

LIFT-Boston, a local non-profit organization, entered into a collaborative partnership in September 2012 with McCormack Graduate School Public Policy Ph.D. students and faculty to develop and execute a research project. The goals of this endeavor were to assist LIFT-Boston in understanding the outcomes associated with its services and enable the organization to further pursue service goals. The primary research questions respond to the organization’s most fundamental questions. These include how the organization’s unique service model impacts clients across several objective and subjective dimensions of well-being. Secondary questions focus on how these impacts may translate into increases or ...


Decision Modeling For Local Housing Development: ‘Strategic Value’ And Other Social Impact Measures, Michael P. Johnson Jr. Apr 2013

Decision Modeling For Local Housing Development: ‘Strategic Value’ And Other Social Impact Measures, Michael P. Johnson Jr.

Michael P. Johnson

Acquisition and redevelopment of foreclosed properties by community organizations helps to mitigate the social impacts of foreclosures on neighborhoods and residents. Social impacts can be measured in a variety of ways: (a) Strategic value of foreclosed property locations (b) Averted lost value to proximate properties Models can estimate magnitudes of such effects to identify potential acquisition candidates and social impacts of alternative development strategies. Application of models to a local case study demonstrates how these measures can be used in practice.


Maintain, Demolish, Re‐Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli Oct 2012

Maintain, Demolish, Re‐Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli

Michael P. Johnson

Neighborhoods, cities, regions and countries face sustained economic and population decline, due to lower population growth rates, deindustrialization and sustained disinvestment, and the housing foreclosure crisis. Planners increasingly see ‘decline’ as something to plan for: a place may lose population while ensuring a high quality of life and enhanced social value (Delken 2008, Hollander 2010). Growth-oriented planning continues to maintain its hegemony over local government decision-making. Can decision models help planners devise strategies that will maximize the social value of managed decline?


What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte Aug 2012

What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set ...


Decison Models For Housing And Community Development, Michael P. Johnson Jr. Jul 2012

Decison Models For Housing And Community Development, Michael P. Johnson Jr.

Michael P. Johnson

Decision science provides tools and methods to support strategy design and operations in housing and community development by generating guidance regarding the number, type, location and development process of housing units in order to balance objectives such as social benefits and costs, tenure mix and equity. These decision models address the needs of multiple stakeholders, reflect the public and private nature of housing, and incorporate best-available evidence regarding markets, policies and impacts of housing and community development. This chapter reviews applications over the past 30 years and describe current applications in decision support for housing and community development, including: affordable ...


Values, Objectives, And Decisions: Using Community-Based Operations Research For Neighborhood Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte May 2012

Values, Objectives, And Decisions: Using Community-Based Operations Research For Neighborhood Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

In this presentation we describe an application of value-focused thinking and decision analysis to the design and evaluation of strategies for housing development especially in urban communities affected by the ongoing foreclosure crisis. This is part of a multi-campus, multi-disciplinary effort to study decision processes of community development corporations (CDCs) acquiring and redeveloping foreclosed properties for neighborhood stabilization.


Michael Johnson Research Profile, Michael P. Johnson Jr. Apr 2012

Michael Johnson Research Profile, Michael P. Johnson Jr.

Michael P. Johnson

This document summarizes my disciplinary training and my research products.


Community-Engaged Decision Support For Foreclosed Housing Acquisition And Redevelopment In Boston, Michael P. Johnson Jr. Mar 2012

Community-Engaged Decision Support For Foreclosed Housing Acquisition And Redevelopment In Boston, Michael P. Johnson Jr.

Michael P. Johnson

This project develops decision tools and analytical methods to help non‐profit community development corporations (CDCs) acquire and redevelop foreclosed housing for neighborhood stabilization and revitalization. Interviews and direct observations at partner CDCs have helped us identify current practices, data and requirements for our decision models. Problem‐structuring methods through CDC focus groups have generated core operational and organizational objectives. Spreadsheet‐ and optimization based decision models generate policy and operational alternatives that address multiple resident and community outcomes. Our research will support efficient responses to the recent foreclosure crisis, especially in distressed neighborhoods, and suggest policy implications at local and ...


Public Policy Phd Program 2012 Policies And Procedures Manual (Draft), Michael P. Johnson Jr. Mar 2012

Public Policy Phd Program 2012 Policies And Procedures Manual (Draft), Michael P. Johnson Jr.

Michael P. Johnson

Policies and procedures manual for the Public Policy PhD program, Department of Public Policy and Public Affairs, University of Massachusetts Boston. Covers courses, concentrations, candidacy requirements, procedures for completing the PhD. Includes forms and supporting documents.


Project Website: Decision Models For Foreclosed Housing Acquisition And Redevelopment, Michael Johnson, Senay Solak, David Turcotte, Jeffrey Keisler, Rachel Drew, Armagan Bayram, Emily Vidrine Dec 2011

Project Website: Decision Models For Foreclosed Housing Acquisition And Redevelopment, Michael Johnson, Senay Solak, David Turcotte, Jeffrey Keisler, Rachel Drew, Armagan Bayram, Emily Vidrine

Michael P. Johnson

No abstract provided.


Community-Based Operations Research: Decision Modeling For Local Impact And Diverse Populations, Michael P. Johnson Jr. Oct 2011

Community-Based Operations Research: Decision Modeling For Local Impact And Diverse Populations, Michael P. Johnson Jr.

Michael P. Johnson

This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways. The book's themes include: space, place and community; disadvantaged, underrepresented or underserved populations; international and transnational applications; multimethod, cross-disciplinary and comparative approaches and appropriate technology; and analytics. The book is comprised of eleven original submissions, a re-print of a 2007 article by Johnson and Smilowitz that introduces CBOR, and an introductory chapter that provides policy motivation, antecedents to CBOR in OR/MS, a ...


Community-Based Operations Research: Introduction, Theory And Applications, Michael P. Johnson Jr. Oct 2011

Community-Based Operations Research: Introduction, Theory And Applications, Michael P. Johnson Jr.

Michael P. Johnson

Community-based operations research is the name of a new sub-discipline within operations research and the management sciences. CBOR synthesizes previous practice and research traditions within OR/MS to address problems within the public sector that are often of a localized nature, that address the concerns of citizens affiliated through characteristics of race, ethnicity and class and other ties and that are solved using diverse qualitative and quantitative methods. Solutions to these problems are developed and implemented by formal and informal organizations, and embody a critical perspective towards traditional notions of decisionmakers, stakeholders and analytic methods. The most proximate antecedents of ...


Handling Anticipated Exceptions In Clinical Care: Investigating The Benefits And Consequences Of Providing “Exit Strategies” In Computerized Clinical Information Systems, Kai Zheng, David Hanauer, Rema Padman, Michael Johnson, Anwar Hussain, Wen Ye, Xiaomu Zhou, Herbert Diamond Apr 2011

Handling Anticipated Exceptions In Clinical Care: Investigating The Benefits And Consequences Of Providing “Exit Strategies” In Computerized Clinical Information Systems, Kai Zheng, David Hanauer, Rema Padman, Michael Johnson, Anwar Hussain, Wen Ye, Xiaomu Zhou, Herbert Diamond

Michael P. Johnson

Unpredictable yet frequently occurring exception situations pervade clinical care. Handling them properly often requires aberrant actions temporarily departing from normal practice. In this study, the authors investigated several exception-handling procedures provided in an electronic health records system for facilitating clinical documentation, which the authors refer to as ‘data entry exit strategies.’ Through a longitudinal analysis of computer-recorded usage data, the authors found that (1) utilization of the exit strategies was not affected by postimplementation system maturity or patient visit volume, suggesting clinicians' needs to ‘exit’ unwanted situations are persistent; and (2) clinician type and gender are strong predictors of exit-strategy ...


Decision Models For Foreclosed Housing Acquisition And Redevelopment: A University Of Massachusetts Multi-Campus Collaborative Project - Processes And Findings To Date, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Rachel B. Drew, Armagan Bayram, Emily Vidrine Nov 2010

Decision Models For Foreclosed Housing Acquisition And Redevelopment: A University Of Massachusetts Multi-Campus Collaborative Project - Processes And Findings To Date, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Rachel B. Drew, Armagan Bayram, Emily Vidrine

Michael P. Johnson

The recent housing foreclosure crisis has had devastating impacts on individuals, communities, organizations and government. In response, several community development corporations (CDCs) have sought new ways to assist neighborhoods suffering from the myriad effects of high foreclosures, including neighborhood instability, increased vandalism and crime, lower property values, and economic disinvestment. This research project focuses on activities of community-based organizations that acquire and redevelop foreclosed properties to support neighborhood stabilization and revitalization. However, the costs of pursuing this strategy far exceed the resources available to typical CDCs. Thus, our project seeks to solve the following decision problem: What subset of a ...


Hidden Strategic Challenges Posed By Housing Mobility Policy: An Application Of Dynamic Policy Modeling, Michael P. Johnson, Jonathan P. Caulkins, Gustav Feichtinger, Gernot Tragler, Yuri Yegorov Sep 2010

Hidden Strategic Challenges Posed By Housing Mobility Policy: An Application Of Dynamic Policy Modeling, Michael P. Johnson, Jonathan P. Caulkins, Gustav Feichtinger, Gernot Tragler, Yuri Yegorov

Michael P. Johnson

Over the past decade, shifts in subsidized and affordable housing policy have led to a greater role for market dynamics and individual choice on the part of program participants and their new neighbors, and a greater awareness of the importance of neighborhood on family outcomes. Given these trends, there is an opportunity for innovative prescriptive planning models to assist in the design of policy related to regional housing mobility. The goal of this paper is to identify, and answer, some housing policy analytic questions with these models.

The fundamental question motivating this paper is the following: over the long run ...


Public Policy Phd Program 2010 Policies And Procedures Manual, Michael P. Johnson Jr. Jul 2010

Public Policy Phd Program 2010 Policies And Procedures Manual, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.


Senior Center Network Redesign Under Demand Uncertainty, Osman Ozaltin, Michael P. Johnson Jr., Andrew Schaefer Mar 2010

Senior Center Network Redesign Under Demand Uncertainty, Osman Ozaltin, Michael P. Johnson Jr., Andrew Schaefer

Michael P. Johnson

Senior centers off#11;er a variety of services to facilitate independent living of older adults. In the U.S., increasing suburbanization and aging of suburban residents necessitate reconfiguring senior services. We propose a two-echelon network of senior centers across large study areas and formulate a stochastic facility location/allocation model with mixed-integer recourse. We apply our model to Allegheny County, Pennsylvania, which has one of the oldest population in the U.S. Our model shows that a two-echelon network design is appropriate for increasing the occupancy of senior centers as community focal points while maintaining customized and accessible programming ...