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Articles 1 - 14 of 14
Full-Text Articles in Urban Studies and Planning
Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr.
Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr.
Michael P. Johnson
Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau
Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau
Michael P. Johnson
Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau
Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau
Michael P. Johnson
Course Syllabus: Honors 490 Mayor's Symposium: Housing In A Changing City, Michael P. Johnson Jr.
Course Syllabus: Honors 490 Mayor's Symposium: Housing In A Changing City, Michael P. Johnson Jr.
Michael P. Johnson
Community-Engaged Operations Research: Trends, New Frontiers And Current Applications, Michael P. Johnson Jr.
Community-Engaged Operations Research: Trends, New Frontiers And Current Applications, Michael P. Johnson Jr.
Michael P. Johnson
Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.
Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.
Michael P. Johnson
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Michael P. Johnson
Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman
Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman
Michael P. Johnson
Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman
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.
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 …
Data, Analytics And Community-Based Organizations: Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.
Data, Analytics And Community-Based Organizations: Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.
Michael P. Johnson
The past ten years have seen a revolution in two disciplines related to operations and strategy design. “Big Data” has transformed the theory and practice of producing and selling goods and services through methods associated with computer science and information technology. “Analytics” has popularized primarily quantitative models and methods by which organizations and systems can measure multiple aspects of performance. As these fields rely on information technology to collect, store, process and share data, we refer to the collection of knowledge and applications associated with Big Data and analytics as “data analytics and information technology.” The impacts of data analytics …
Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr.
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, …
Community-Based Analytics: Big Data And Decision Making For Community-Based Organizations, Michael P. Johnson Jr.
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.
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.
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 decreases in student …