Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr.
Oct 2019
Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr.
Michael P. Johnson
Neighborhoods, cities and regions facing long-term declines in population and economic activity may consider alternative responses, such as revitalization, regeneration, shrinkage and abandonment. In this presentation I show that planning decisions intended to improve quality of life, informed by qualitative and quantitative data and analytic methods, implemented through accessible and affordable technologies, and based on notions of social impact and social justice, can enable residents to play a leading role in the positive transformation of shrinking cities and
distressed communities.
Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr.
Oct 2019
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.
Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley
Oct 2019
Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley
Diane Rover
During 2004-2005, the Departments of Electrical and Computer Engineering and Mechanical Engineering at Iowa State University in collaboration with educational colleagues in the Research Institute for Studies in Education piloted a new curricula model to improve student learning through vertical integration of educational activities using new program structures. We offered an experimental course sequence during Fall 2004 and Spring 2005, defined as a “learning stream.” A learning stream is a basic element of a novel program structure designed specifically to vertically integrate subject matter across courses. A learning stream merges and re-organizes material to more effectively present and reinforce key …
Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley
Oct 2019
Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley
Diane Rover
This paper reviews the framework and provides new result for the implementation of a new program designed to develop more effective future faculty in engineering. The core of the proposed program will be based on our efforts regarding the recently developed Minor in Engineering Studies (MES). This program will team up effective engineering faculty to train, mentor, and evaluate a select group of graduate students to teach classes in our MES program. The goal is to help the engineering graduate students (the graduate educators) become better communicator and better educators by training non-engineering students in technological literacy classes. This practice …
Decision Science For Community Development And Social Change, Michael P. Johnson Jr.
Feb 2019
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.
Jan 2019
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.
Jan 2019
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 …
Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski
Dec 2018
Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Socio-Economic Planning Sciences Special Issue: Indices For The Betterment Of The Public, Vincent Charles, Ali Emrouznejad, Michael P. Johnson Jr.
Oct 2018
Socio-Economic Planning Sciences Special Issue: Indices For The Betterment Of The Public, Vincent Charles, Ali Emrouznejad, Michael P. Johnson Jr.
Michael P. Johnson
Over the years, the quest for a better society has led to the birth of a variety of composite indices of development, from the gross domestic product to the happiness index. These indices usually integrate various social, cultural, psychological, and political aspects and are considered of vital importance for evaluating a country's level of development and for assessing the impact of policy specially in public sector. Overall, they consist of numerical measures that describe the well-being of both the individual and the society as a whole.
The Special Issue of Socio-Economic Planning Sciences encourages original research articles of high quality …
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 …
Efficacy Of Virtual Models In A Production Systems Course, Lawrence Whitman, Barbara Chaparro
Oct 2018
Efficacy Of Virtual Models In A Production Systems Course, Lawrence Whitman, Barbara Chaparro
Barbara S. Chaparro
Wichita State University has developed an integrated set of virtual reality models of an aircraft assembly line. These models are intended to provide students an ‘artifact’ of industrial and manufacturing engineering by providing a realistic environment for initial learning and application. By utilizing a virtual model of the line, students are able to view the process and interrogate the process details, make changes and observe the effects, and gain a better understanding of the concepts and their interrelationships. This paper presents the method used to assess if virtual models (computer models of a real factory) lead to: improved perception of …
Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau
Sep 2018
Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau
Michael P. Johnson
Community operational research (COR) 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. This presentation summarizes a multi-year effort to assemble cutting-edge research in COR in a special issue of European Journal of Operational Research available August 2018. We review principles for community OR, describe the breadth and diversity of the field through the experience of …
Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau
Jul 2018
Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau
Michael P. Johnson
Community operational research (Community OR), and its disciplinary relation, community-based operations research, has an increasingly high profile within multiple domains that benefit from empirical and analytic approaches to problem solving. These domains are primarily concentrated within nonprofit services and local development. However, there are many other disciplinary and application areas for which novel applications and extensions of COR could generate valuable insights. This paper identifies a number of these, distinguishing between ‘emerging trends’ (mostly in well-studied areas of operations research, management science and analytics) and ‘new frontiers’, which can be found in traditions not commonly oriented towards empirical and analytic …
Community-Based Participatory Research Through The Lens Of Decision Science, Michael P. Johnson Jr.
Jun 2018
Community-Based Participatory Research Through The Lens Of Decision Science, Michael P. Johnson Jr.
Michael P. Johnson
This is a brief introduction to community-focused and community-engaged research through the perspective of the decision sciences. It is intended as a complement to similar approaches more generally situated in the social sciences.
Editorial: Special Issue: Community Operational Research: Innovations, Internationalization And Agenda-Setting Applications, Michael P. Johnson Jr., Gerald Midgley
Mar 2018
Editorial: Special Issue: Community Operational Research: Innovations, Internationalization And Agenda-Setting Applications, Michael P. Johnson Jr., Gerald Midgley
Michael P. Johnson
This is an editorial to a special issue of European Journal of Operational Research, titled "Special Issue: Community Operational Research: Innovations, Internationalization and Agenda-Setting Applications". This special issue is edited by Michael Johnson and Gerald Midgley. Editorial assistants are Jason Wright and George Chichirau. The anticipated publication date for the special issue is July 2018. The special issue is comprised of 31 papers, representing diverse application areas, methodologies, analytic methods and author countries of origin.
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 represent …
What Is Community Operational Research?, Gerald Midgley, Michael P. Johnson Jr., George Chichirau
Dec 2017
What Is Community Operational Research?, Gerald Midgley, Michael P. Johnson Jr., George Chichirau
Michael P. Johnson
Community Operational Research (Community OR) has been an explicit sub-domain of OR for more than 30 years. In this paper, we tackle the controversial issue of how it can be differentiated from other forms of OR. While it has been persuasively argued that Community OR cannot be defined by its clients, practitioners or methods, we argue that the common concern of all Community OR practice is the meaningful engagement of communities, whatever form that may take – and the legitimacy of different forms of engagement may be open to debate. We then move on to discuss four other controversies that …
Community-Engaged Operations Research: Trends, New Frontiers And Current Applications, Michael P. Johnson Jr.
Nov 2017
Community-Engaged Operations Research: Trends, New Frontiers And Current Applications, Michael P. Johnson Jr.
Michael P. Johnson
Community-engaged operations research is an extension of multiple OR/MS traditions to support participatory scholarship, 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. Through a survey of current scholarship in two complementary areas of inquiry, ‘community operational research’ (referring to work by primarily UK-based researchers) and ‘community-based operations research’ (referring to work by primarily US-based researchers), we develop principles for community-engaged OR, present critical questions that represent opportunities to expand the impact of this work, and discuss …
Improving Decision-Making Skills Of Nonprofit Professionals, Michael P. Johnson Jr., George Chichirau, Jason Wright
Oct 2017
Improving Decision-Making Skills Of Nonprofit Professionals, Michael P. Johnson Jr., George Chichirau, Jason Wright
Michael P. Johnson
Nonprofits face gaps in organizational capacity, including program design and evaluation, but previous research suggests that capacity-building exercises have a positive effect. We describe a data analytics training workshop with staff from Boston-area nonprofits reflecting a wide range of sectors. Through analysis of participant work on case studies provided by the instructor, we examine how participants made sense of training materials, the various strategies employed by participants to solve three case study problems, and participant feedback about the session. Our findings provide a basis for novel interventions in community based operations research.
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 …
Community-Engaged Operations Research: Trends, New Frontiers And Opportunities, Michael P. Johnson Jr.
Feb 2017
Community-Engaged Operations Research: Trends, New Frontiers And Opportunities, Michael P. Johnson Jr.
Michael P. Johnson
Scholars in multiple disciplines intersecting operations research have developed theory and applications to address the question, how can the decision sciences develop new ways to solve problems of special interest to organizations and individuals situated in geographically, economically and socially circumscribed communities? The motivation for this work is the belief that mission-driven and resource-constrained nonprofit organizations, and underrepresented, underserved, or vulnerable populations may have special needs for analytic and empirical problem-solving methods that have traditionally received less emphasis in traditional operations research and management science research and teaching. Scholarship in this area, alternatively labeled ‘community operational research’ (mostly in the …
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 …
C.V. - Wojciech Budzianowski, Wojciech M. Budzianowski
Jan 2017
C.V. - Wojciech Budzianowski, Wojciech M. Budzianowski
Wojciech Budzianowski
-
Renewable Energy And Sustainable Development (Resd) Group, Wojciech M. Budzianowski
Jan 2017
Renewable Energy And Sustainable Development (Resd) Group, Wojciech M. Budzianowski
Wojciech Budzianowski
No abstract provided.
Irresistible Bargains: Navigating The Surveillance Society, Robert M. Pallitto
Dec 2016
Irresistible Bargains: Navigating The Surveillance Society, Robert M. Pallitto
Robert M Pallitto
Agents in contemporary societies are faced continually with choices regarding engagement with technological artifacts. They can choose to engage or decline engagement after considering the costs and benefits in each case. However, certain aspects of the surveillance society may be irresistible in a number of ways, so that refusal to engage with them is not a realistic option. The proliferation of the Internet of Things (IoT), particularly as embedded in “smart city” initiatives, helps to make surveillance technologies potentially irresistible. After laying the conceptual groundwork for discussing irresistible bargains, this essay offers a two-part normative critique, focusing on the asymmetrical …
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Nov 2016
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Michael P. Johnson
Main Street organizations develop local development initiatives that support economic and social goals. We describe an application of value-focused thinking and community-based operations research to identify economic development performance metrics and decision alternatives for local development interventions. Using interviews with stakeholders in three Boston communities, we show how values structures vary across communities and stakeholder groups and how attributes can be quantified using a variety of data sources. We conclude by presenting a composite values structure to support improved operations management and strategy design for all Boston Main Street districts.
An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau
Nov 2016
An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau
Michael P. Johnson
Diversity and inclusion have been widely studied and debated, most often within the social sciences. What contributions can operations research, management science and analytics make to this domain of inquiry? This talk will critically examine assumptions and practices within the decision sciences that may support as well impede diversity- and inclusion-related research, and propose a research agenda that can challenge yet enrich our profession.
Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.
Nov 2016
Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.
Michael P. Johnson
Community-based organizations engaged in foreclosure response wish to quantify the relative value of housing units for redevelopment. We measure the 'strategic value' of property acquisition candidates based on proximity to site-specific neighborhood amenities and disamenities, given the relative importance of that proximity to CDC organizational and community objectives. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the organization.
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Sep 2016
Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani
Michael P. Johnson
Main Street organizations are community-based nonprofits across the USA dedicated to local economic development through physical improvements, technical assistance to businesses, marketing and placebuilding. In this paper we identify metrics associated with success in local economic development and generate decision opportunities for improved program design and implementation. Our community partners, Main Street organizations in the city of Boston, want to ensure that data they collect about their service areas can help them measure progress towards achieving their individual goals as well as identify programs and initiatives that make best use of their resources and expertise. Using a mixed methods, inductive …
Human-Robot Interaction: Proximity And Speed—Slowly Back Away From The Robot!, Keith R. Macarthur, Kimberly Stowers, Peter A. Hancock
Jul 2016
Human-Robot Interaction: Proximity And Speed—Slowly Back Away From The Robot!, Keith R. Macarthur, Kimberly Stowers, Peter A. Hancock
Keith Reid MacArthur
This experiment was designed to evaluate the effects of proximity and speed of approach on trust in human-robot interaction (HRI). The experimental design used a 2 (Speed) × 2 (Proximity) mixed factorial design and trust levels were measured by self-report on the Human Robot Trust Scale and the Trust in Automation Scale. Data analyses indicate proximity [F(2, 146) = 6.842, p < 0.01, partial ŋ 2 = 0.086] and speed of approach [F(2, 146) = 2.885, p = 0.059, partial ŋ 2 = 0.038] are significant factors contributing to changes in trust levels.
