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Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese Feb 2023

Regulating Machine Learning: The Challenge Of Heterogeneity, Cary Coglianese

All Faculty Scholarship

Machine learning, or artificial intelligence, refers to a vast array of different algorithms that are being put to highly varied uses, including in transportation, medicine, social media, marketing, and many other settings. Not only do machine-learning algorithms vary widely across their types and uses, but they are evolving constantly. Even the same algorithm can perform quite differently over time as it is fed new data. Due to the staggering heterogeneity of these algorithms, multiple regulatory agencies will be needed to regulate the use of machine learning, each within their own discrete area of specialization. Even these specialized expert agencies, though, …

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The Influence Of Education On Health: An Empirical Assessment Of Oecd Countries For The Period 1995–2015, Viju Raghupathi, Wullianallur Raghupathi Apr 2020

The Influence Of Education On Health: An Empirical Assessment Of Oecd Countries For The Period 1995–2015, Viju Raghupathi, Wullianallur Raghupathi

Publications and Research

Background: A clear understanding of the macro-level contexts in which education impacts health is integral to improving national health administration and policy. In this research, we use a visual analytic approach to explore the association between education and health over a 20-year period for countries around the world.

Method: Using empirical data from the OECD and the World Bank for 26 OECD countries for the years 1995–2015, we identify patterns/associations between education and health indicators. By incorporating pre- and post- educational attainment indicators, we highlight the dual role of education as both a driver of opportunity as well as of …

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From Data To Decisions In Local Government, Michael P. Johnson Jr. Jul 2019

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.

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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 …

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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 …

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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 …

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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. 

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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 …

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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.

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Optimizing Government For An Optimizing Economy, Cary Coglianese Jan 2016

Optimizing Government For An Optimizing Economy, Cary Coglianese

All Faculty Scholarship

Much entrepreneurial growth in the United States today emanates from technological advances that optimize through contextualization. Innovations as varied as Airbnb and Uber, fintech firms and precision medicine, are transforming major sectors in the economy by customizing goods and services as well as refining matches between available resources and interested buyers. The technological advances that make up the optimizing economy create new challenges for government oversight of the economy. Traditionally, government has overseen economic activity through general regulations that aim to treat all individuals equally; however, in the optimizing economy, business is moving in the direction of greater individualization, not …

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Data, Analytics And Community-Based Organizations: Transforming Data To Decisions For Community Development, Michael P. Johnson Jr. Dec 2014

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 …

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Beyond The It Magic Bullet: Hiv Prevention Education And Public Policy, Fay C. Payton May 2012

Beyond The It Magic Bullet: Hiv Prevention Education And Public Policy, Fay C. Payton

Journal of Health Disparities Research and Practice

Analytic applications are vital in the assessments of public health and surveillance as these applications can drive resource allocation, community assessment and public policy. Using a dataset of nearly 90,000 patient hospital encounters, the number of instances with an ICD code of HIV and co-morbidities was identified. Blacks accounted for 75 percent of HIV hospital encounters in the dataset. While business analytic applications informed this study of cross-tabulations and interaction effects among race, age and gender, there appears to be a significant relationship among HIV diagnoses and substance abuse. Payer data is informed by the Healthcare Cost and Utilization Project …

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