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Articles 1 - 8 of 8
Full-Text Articles in Social and Behavioral Sciences
Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr.
Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr.
Michael P. Johnson
Scholarly research on diversity, equity and inclusion (DEI) in the decision sciences is largely concentrated in areas of management and organization design. However, DEI is relevant to other domains of inquiry, and can be understood in terms other than economic efficiency and organization effectiveness. I discuss what a research agenda in decision sciences would look like if DEI, and a focus on social costs and benefits and social justice were central to this work. Examples to be discussed include: the new economy, climate resilience and disaster response, and human services.
From Data To Decisions In Local Government, Michael P. Johnson Jr.
From Data To Decisions In Local Government, Michael P. Johnson Jr.
Michael P. Johnson
Making good decisions is essential to enabling local government to deliver services that improve the lives of constituents. But what is a good decision, and what is necessary to make good decisions? In this presentation, given to fellows of the Lead for America program, I introduce the notion of decision and data analytics, specific to the needs of resource-constrained local governments, provide three examples of analytics & decision opportunities ranging from mostly-qualitative to mostly-quantitative data and analysis, and end with three case studies that I had the Lead for America fellows perform.
Changing Urban Form In A Shrinking City, Justin Hollander, Michael P. Johnson Jr., Rachel B. Drew
Changing Urban Form In A Shrinking City, Justin Hollander, Michael P. Johnson Jr., Rachel B. Drew
Michael P. Johnson
This paper uses building footprint data in a shrinking city, Baltimore, MD, in 1972 and 2010 to achieve two primary research objectives. The first is to understand the historical patterns of housing construction and demolition in selected row house neighborhoods in Baltimore between 1972 and 2010. The second is to understand changes in housing footprints, and associations between these changes and physical and socio-economic characteristics in selected neighborhoods. We find that housing losses and associated changes in building footprints have shown substantial variation across our study area and exhibit clustering within our study area. Moreover, while housing loss is strongly …
Doctoral Student Writing For Scholarly Career-Building: Teaching Experiences And Student Outcomes, Michael P. Johnson Jr.
Doctoral Student Writing For Scholarly Career-Building: Teaching Experiences And Student Outcomes, Michael P. Johnson Jr.
Michael P. Johnson
The Public Policy PhD course PPOL-G 704 Research Methods II was originally designed as a guided tour of analytic methods for second-year students that included a paper that highlighted an application of methods presented in the class to a subject of their choosing. When I inherited this course in Fall 2012, I changed the focus of the final paper requirement to one that reflected original research, using any convenient analytic method and research design, that aspired to the quality of a peer-reviewed conference or journal submission. I also redesigned the class experience to include ongoing student reviews of each others’ …
Decision Science For Community Development And Social Change, Michael P. Johnson Jr.
Decision Science For Community Development And Social Change, Michael P. Johnson Jr.
Michael P. Johnson
Operations research, also known as management science or decision science, is a mathematics-based discipline that draws from engineering, information systems, management, public policy and planning. OR enables individuals and organizations to make better decisions regarding manufacturing and logistics, service provision and strategy design. My particular interest in OR focuses on the needs of mission-driven and resource-constrained organizations that serve urban communities. In my talk I will describe how OR can use qualitative and quantitative analysis through meaningful engagement of communities to enable creative identification, formulation and solution of complex problems for local impact and social justice. Specific applications I'm currently …
Michael Johnson Biography, Michael P. Johnson Jr.
Michael Johnson Biography, Michael P. Johnson Jr.
Michael P. Johnson
No abstract provided.
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
In these days of ‘analytics’, ‘big data’ and ‘smart cities’, many of us are aware of the importance of data and quantitative analytic methods for program design, implementation and evaluation. Less commonly-understood are specific tools and methods for community-based interventions in which the problem to be solved is unclear, and the ways in which data of many different kinds can be used to develop interventions that represent best-possible uses of organization and community resources. Moreover, it is also less commonly-understood how to put communities, and community members, near the center of problem-solving and decision-making.
Examples of challenging problems include: How …
Course Syllabus, Upcd 620 Quantitative Analytic Methods For Urban Planning & Community Development, Michael P. Johnson Jr.
Course Syllabus, Upcd 620 Quantitative Analytic Methods For Urban Planning & Community Development, Michael P. Johnson Jr.
Michael P. Johnson
This course provides students with an introduction to quantitative analytic methods appropriate to propose, support and evaluate localized and regional initiatives in planning and community development. Technical skills associated with these methods will be taught with a focus on the needs of community-based organizations which typically have limited time, human, financial and technical resources to perform detailed analyses in support of their programs and initiatives. This is a core, required course in the Urban Planning and Community Development master’s program. No previous university-level exposure to probability and statistics are necessary. Students will learn basic skills in analysis and interpretation of …