Michael A. Bailey is the Colonel William J. Walsh Professor of American Government in the Department of Government and McCourt School of Public Policy at Georgetown University. He directs the Data Science for Public Policy program and is active in the Massive Data Institute. He is the author of two statistics books from Oxford University Press, Real Real Stats and Real Econometrics. Bailey teaches and conducts research on American politics and political economy. His work covering trade, Congress, election law and the Supreme Court, methodology and inter-state policy competition has been published in the American Political Science Review, the American Journal of Political Science, the Journal of Politics, World Politics, the Journal of Law, Economics and Organization and elsewhere. He is also co-author with Forrest Maltzman of The Constrained Court: Law, Politics and the Decisions Justices Make from Princeton University Press.

Solon Barocas is a Researcher in the New York City lab of Microsoft Research and an Assistant Professor in the Department of Information Science at Cornell University. He is also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. His research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference. He co-founded the annual workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) and later established the ACM conference on Fairness, Accountability, and Transparency (FAT*). He was previously a Postdoctoral Researcher at Microsoft Research as well as a Postdoctoral Research Associate at the Center for Information Technology Policy at Princeton University. He completed his doctorate at New York University, where he remains a Visiting Scholar at the Center for Urban Science + Progress.

Lee Boot is Director of the Imaging Research Center, and Affiliate Associate Professor of Visual Arts and Computer Science and Engineering at UMBC. His work is research and development aimed at creating and testing novel digital media technologies, forms, and content to improve the capacity of the digital mediasphere to serve public interests. Past efforts include finding ways to convey the neuroscience and psychology of happiness to young adults; establishing online media networks that bring young people's voices into the development of education policy; and designing new frameworks for communicating science to laypersons. The work been sponsored by federal agencies such as the National Institutes of Health, foundations including Surdna and the Robert W. Deutsch Foundation, and has been commissioned by the National Academy of Sciences.

Peter Casey is Senior Data Scientist at The Lab @ DC and the Office of the Chief Technology Officer in the Government of the District of Columbia. Dr. Casey sets strategy and vision for data science and analytics in the city government. He leads a team of data scientists at The Lab @ DC, the development of data infrastructure at the CTO's office, and organizes a citywide network of DC government employees and contractors who create and consume data products. Among Dr. Casey's top priorities is building practices that respect and protect people's privacy and ensure that data is handled, analyzed, and utilized ethically.

Augustin is an Associate Professor of Computer Science at Columbia University since 2010, where he directs the Mobile Social Lab. The goal of his research is to reconcile the benefits of personal data and social networks with a commitment to fairness and privacy. His latest results address transparency in personalization, the role of human mobility in privacy across several domains, the efficiency of crowdsourced content curation, the fairness of incentives and algorithms used in social networking. His research lead to 35 papers in tier-1 conferences (five receiving best or best student paper awards at ACM CoNEXT, SIGMETRICS, USENIX IMC, IEEE MASS, Algotel), covered by several media including the NYT blog, The Washington Post, the Economist, or The Guardian. An ex student of the Ecole Normale Supérieure in Paris, he earned a Ph.D in mathematics and computer science in 2006, a NSF CAREER Award in 2013 and the ACM SIGMETRICS Rising star award in 2013. He has been an active member of the network and web research community, serving in the program committees of ACM SIGMETRICS (as chair), FAT*, SIGCOMM, WWW, CoNEXT (as chair), EC, MobiCom, MobiHoc, IMC, WSDM, COSN, AAAI ICWSM, and IEEE Infocom, as area editor for IEEE TMC, ACM SIGCOMM CCR, ACM SIGMOBILE MC2R, and editor in chief for PACM POMACS.

Dr. Joanna Chan supervises the Data and System Development Teams of the Department of Health and Human Services (HHS) Administration for Children and Families (ACF) Office of Refugee Resettlement (ORR) Unaccompanied Alien Children (UAC) program, which cares for unaccompanied alien children referred by other federal agencies. Prior to joining ORR, Dr. Chan served as a data scientist at the Department of Commerce National Technical Information Service (NTIS), and was an American Association for the Advancement of Science (AAAS) Science and Technology Policy Fellow with the State Department and the National Science Foundation. Before joining the government, Dr. Chan worked in the technology sector for over 14 years. She holds a Ph.D. in Environmental Studies and an MBA from University of Colorado at Boulder, and a Master of Software Engineering from Brandeis University.

Dr. Zhiyuan Chen is an associate professor in the department of information systems at University of Maryland Baltimore County. He also serves as graduate program director for information systems master's and PhD programs. His research interests includes privacy preserving data mining, data science and its application in cyber security. He has conducted research on methods to make it easier for consumers to understand and compare privacy policies. He has also taught classes on data privacy including ethical and policy issues.

Aurali Dade is the Associate Vice President for Research Development, Integrity and Assurance (RDIA) and Executive Director of the Institute for a Sustainable Earth (ISE) at George Mason University. RDIA’s mission is to nurture and promote state-of-the-art research, scholarship and creative work, providing resources that: promote the ethical and responsible conduct of research; and, assist the Mason faculty-postdoc-student community with the identification of external funding opportunities and the development of high quality proposals, sponsored projects and translational activities. Dade also serves as the inaugural Executive Director of ISE with the mission of connecting members of the Mason community with others across the Mason community-and with other communities, policy makers, businesses, and organizations-so that, together, we can more effectively address the world’s pressing sustainability and resilience challenges. Dade previously led the offices focused on Research Integrity, Environmental Compliance, and Laboratory Safety in several roles at previous universities.

Sarah Davis is a research project manager at the Renaissance Computing Institute (RENCI) at the University of North Carolina, Chapel Hill. She is involved in several projects to grow RENCI’s involvement in the fields of law and ethics, including the development of a curriculum in data science for state and federal judges. Sarah was formerly a lawyer at Simpson Thacher & Bartlett in New York.

Daniel Denecke is currently an Expert at the National Science Foundation where he is working on the NSF Convergence Accelerator. Prior to joining NSF in May 2019, he served as Vice President of Best Practices and Strategic Initiatives at the Council of Graduate Schools (CGS). At CGS, Dr. Denecke directed a range of research projects on research ethics and served as an advisory committee member for and regular participant in the biennial World Conferences on Research Integrity. Among the projects for which he has received funding are the NSF-funded research on effectiveness of research ethics education for graduate research collaborations in an international context and the Project for Scholarly Integrity. Dr. Denecke’s research interests include: education and training for collaborative research in STEM, understanding the individual and societal impact of enhanced professional development for graduate students, and assessing institutional partnerships for advancing success in STEM careers.

Dr. Kathleen Fontaine (Kathy) has been at Rensselaer Polytechnic Institute (RPI) since 2014, first as the Managing Director of the Research Data Alliance/US, and currently as a Sr. Research Scientist in the Tetherless World Constellation (TWC), and Adjunct Professor in the Information Technology and Web Science (ITWS) program. She has developed and currently teaches a graduate-level course in all aspects of data policy, from ethics to sharing, and has developed an ethics unit for one of the graduate capstone courses in ITWS. In addition, she is involved with ACM and IEEE efforts on AI and ethics. Before coming to RPI, Dr. Fontaine spent over 25 years at NASA Goddard Space Flight Center (early on as a contractor; most recently as a civil servant), having done a variety of things including data policy, spacecraft system trade studies, and Earth observations project and program work. Dr. Fontaine was extensively involved in several international and intergovernmental organizations whose focus was on open sharing of Earth observations data, and she continues to participate in the international Group on Earth Observations, as a member of the Programme Board. As part of her research work, she is beginning a longitudinal study of federally funded health research mapped to causes of death in the United States (via death certificates) to see what, if any, relationship or impact such funding has. Additional areas of interest include all aspects of data policy, the application of ethics to data science, governance, and organizations; user characterizations and user interfaces; and international organizational governance.

Dr. Erwin Gianchandani is the Deputy Assistant Director for the Directorate for Computer and Information Science and Engineering (CISE) at the National Science Foundation (NSF), where he contributes to all aspects of the directorate’s management, including strategic and human capital planning, formulation and implementation of the directorate’s more than $900 million annual budget, and oversight of day-to-day operations. Previously, Dr. Gianchandani served as the deputy division director for the CISE Division of Computer and Network Systems (CNS). Before joining NSF in 2012, he was the inaugural director of the Computing Community Consortium (CCC), providing leadership to the computing research community in identifying and pursuing audacious, high-impact research directions; and director of innovation networking at the University of Virginia, reporting to the university’s vice president for research. Dr. Gianchandani has published extensively and presented at numerous international conferences on the subject of computational systems modeling of cellular reaction networks, with the goal of better understanding disease mechanisms and identifying therapeutic targets. Dr. Gianchandani received his Ph.D. in biomedical engineering, M.S. in biomedical engineering, and B.S. in computer science, all from the University of Virginia.

Dr. Leshell Hatley is a STEAM educator of 20+ years. She is an Assistant Professor of Mathematics and Computer Science at Coppin State University. She is also the PI of the Lab for Artificial Intelligence and its Applications (LAIA), an undergraduate research lab which focuses on intelligent systems, robotics, computer science education, culturally relevant learning technology, and ethics. More information can be found at here

Rebecca Johnson is an incoming Assistant Professor (fall 2020) in the Department of Quantitative Social Science at Dartmouth College and is working as a visiting data scientist at The Lab at DC. Rebecca's research focuses on how social service bureaucracies in education, health, and housing prioritize individuals for scarce resources, studied using data/methods that include NLP and large-scale genotyping data. Her teaching will focus on statistical computing and data science for health/public policy. She is finishing her PhD in Demography, Sociology and Social Policy at Princeton University, before which she worked as a pre-doctoral fellow at the National Institutes of Health Department of Bioethics.

Sara Jordan is an Assistant Professor in the Center for Public Administration and Policy at Virginia Tech. She serves on the Executive Committee of the Global Initiative for Ethics of Autonomous and Intelligent Systems of the IEEE. Sara is the co-chair of the Editing Committee for the 2nd Edition of Ethically Aligned Design, the Chair of the Glossary Committee, and is the co-chair of the Standards Committee for the Society for Social Implications of Technology.

Nancy Kamei is currently on detail to the NSF Convergence Accelerator. The Convergence Accelerator is a new capability within NSF to accelerate use-inspired, convergence research to solve problems of national importance. In 2017, after several years of retirement, she joined the Division of Industrial Innovation and Partnerships to serve the United States’ entrepreneurial ecosystem. For several years, she served as a National Instructor for the Innovation Corps (I-Corps™) program, interacting with NSF and National Institutes of Health grantees, which inspired her to join the SBIR/STTR Program and continue working with innovators and entrepreneurs. Nancy has more than 20 years of experience as an investor, having selected and managed billions of dollars of investments of both public equities (Capital Group Companies) and venture capital (Intel Capital). She is also a serial entrepreneur, having been on the founding team of several Silicon Valley startups (Onyx Pharmaceuticals). After receiving her Doctor of Pharmacy degree from University of California, San Francisco, she started her career at Merck and then completed her Master of Business Administration at Stanford Graduate School of Business. Nancy also has more than 40 years of service to the non-profit sector. She recently relocated to the Washington, D.C. area after a lifetime in California.

Jennifer Keating is the Assistant Dean for Educational Initiatives in Dietrich College of Humanities and Social Sciences at Carnegie Mellon University. She has taught regularly in the Department of English and cross-disciplinary courses for Dietrich College, including AI & Humanity and Art, Conflict & Technology in Northern Ireland, for which she and her teaching team received the CMU Teaching Innovation Award.

She is the editor of Patrick McCabe’s Ireland and author of Language, Identity and Liberation in Contemporary Irish Literature (Palgrave 2010), which received the Durkan Prize for Best Book on Irish Language and Literature from the American Conference for Irish Studies. She is co-author of AI & Humanity, forthcoming with MIT Press and her work has appeared in Critical Quarterly, New Hibernia Review and ACM.

Lorraine Kisselburgh is the inaugural Chair of the new Global Technology Policy Council for ACM and a visiting Fellow in the Center for Education and Research in Information Assurance and Security (CERIAS) at Purdue University. She was a member of the ACM 2018 Task Force on Code of Ethics and Professional Conduct, and a 2018 Scholar-in-Residence with the Electronic Privacy Information Center in Washington, D.C., where she worked on data privacy and ethical guidelines for artificial intelligence.

Her research focuses on the social implications of emerging technologies, including privacy and ethics in emerging technology contexts, and interaction and organizing practices in technological contexts. She has been funded by the National Science Foundation and the Department of Homeland Security, and was the inaugural Faculty Scholar in the Butler Center for Leadership, a CERIAS Faculty Fellow, Service Learning Faculty Fellow, Diversity Faculty Fellow, and recipient of the Violet Haas Award for her efforts on behalf of women at Purdue. Her collaborative research developing ethical reasoning in science and engineering researchers was recognized as an exemplar program by the National Academy of Engineering.

Joel Kuipers (PhD Yale 1982) is an ethnographer focused on the role of language in social life. He has carried out fieldwork in eastern Indonesia and Java, as well as in US science classrooms, medical clinics, and among cell-phone using US teenagers. He has been a professor of anthropology the George Washington University since 1989, where he is currently developing a course that provides an anthropological approach to ethics in the digital world, to be part of a data science major.

Jane Arnold Lincove is an Associate Professor of Public Policy at the University of Maryland, Baltimore County, and a non-resident Research Fellow at Tulane University. Her research on education policy has been published in Economics of Education, Education Researcher, Educational Evaluation and Policy Analysis, Education Finance and Policy, American Economic Review, and other outlets. She has worked developed and conducted research with longitudinal student databases in Texas, Louisiana, and Maryland, and currently serves on the Research and Policy Advisory Board for the Maryland Longitudinal Data System Center. Current research interests include economics of school choice, teacher compensation, and college access.

Dr. Little is Senior Research Scholar at the Kennedy Institute of Ethics, and Professor of Philosophy at Georgetown. A Rhodes Scholar and fellow of the Hastings Center, she has twice served as Visiting Scholar in residence at the National Institutes of Health Department of Bioethics, and was appointed to the Ethics Committee of the American College of Obstetrics and Gynecology. She is co-founder of The Second Wave Initiative, which works to promote responsible research into the health needs of pregnant women. In her previous role as Director of the Kennedy Institute, Dr. Little oversaw a time of transformative development, including the launch of the world's first Introduction to Bioethics MOOC in April 2014; the inauguration of Conversations in Bioethics, an annual campus-wide event focused on a critical issue in bioethics; the deployment of a series of experimental undergraduate courses utilizing project-based learning and design studio methods. Dr. Little is founder and Director of EthicsLab, a unique team of Philosophers and Designers at Georgetown University that develops new methods to help people build ethical frameworks to better address real-world problems. Ethics Lab works to help surface the moral values at stake in emerging, complex issues, including data ethics and AI, to help build responsible progress. She is a founding co-chair of the Tech and Society Initiative at Georgetown.

Mark MacCarthy is on the faculty at Georgetown University, where he teaches courses in technology policy in the Communication, Culture, and Technology Program and courses on privacy and AI ethics in the Philosophy Department. He is also a Senior Fellow at the Institute for Technology Law and Policy at Georgetown Law, a Senior Policy Fellow at the Center for Business and Public Policy at Georgetown’s McDonough School of Business and a Senior Fellow with the Future of Privacy Forum. Previously, he was Senior Vice President for Public Policy at the Software & Information Industry Association, where he directed initiatives and advised member companies on technology policy, privacy, AI ethics, content moderation and competition policy in tech.

MacCarthy regularly speaks and writes on topics of technology policy and ethics. He has served as a consultant on technology policy issues for the Organization for Economic Cooperation and Development and for the Aspen Institute. MacCarthy holds a Ph.D. in philosophy from Indiana University and an MA in economics from the University of Notre Dame.

Shannon McKeen, Executive Director, National Consortium for Data Science, is responsible for developing relationships with universities, industry and government agencies for Data Science research and collaboration. He also serves as the Deputy Director for the NSF Funded South Big Data Hub. Shannon serves as a Faculty Advisor in Dartmouth’s OnSite Global Consulting Program and UNC Kenan-Flagler’s Experiential Learning program. He is an Instructor in Kenan-Flagler’s online MBA program and in the Master of Business Analytics program at Wake Forest. Shannon has 20 years of executive experience in sales, marketing and general management, with extensive expertise in growth strategies, new products and brand rejuvenation. As an entrepreneur Shannon has worked with start-up companies and with new divisions of larger companies. His work has included starting ecommerce sites in the US and China and raising capital for medical products companies.

Shannon serves on the Board of Trustees for Fryeburg Academy and the city of Winston-Salem Budget Advisory Council. He is a member of the National Association of Corporate Directors, the Marketing Executives Network Group, and the Inception Micro Angel Fund.

Eden Medina is Associate Professor of Informatics and Computing at Indiana University, Bloomington where she is a member of the Computing, Culture, and Society Track. She will begin as Associate Professor of Science, Technology, and Society at MIT in July 2019. Medina has designed and taught classes on the social, ethical, and legal dimensions of computer technologies to informatics students for the past fourteen years. For the past two years, she co-designed and co-taught the interdisciplinary course "Data and Society" to graduate students as part of the Indiana University Data Science Program. Medina is the author of the multi-prizewinning book Cybernetic Revolutionaries: Technology and Politics in Allende’s Chile (MIT Press). She holds a degree in electrical engineering from Princeton University, a Master in Studies of Law from Yale Law School, and a Ph.D. in the History and Social Study of Science and Technology from MIT. She is an affiliated fellow of the Information Society Project at Yale Law School, member of the academic council of the AI Now Institute, and the former director of the Rob Kling Center for Social Informatics at Indiana University.

Dr. Mentis is the associate dean in the College of Engineering and Information Technology and an associate professor in the Department of Information Systems at the University of Maryland Baltimore County (UMBC). Her research contributes to the areas of human-computer interaction (HCI), computer supported cooperative work (CSCW), and health informatics. She investigates how collaboration and coordination are achieved and better supported through technology, primarily with regards to information sharing and decision making in healthcare contexts. In turn, she develop interactive systems to investigate the effects of new mechanisms for collaboratively sensing, presenting, and interacting with information. Recently, she was awarded a grant in the Responsible Computer Science Challenge by the Mozilla Foundation to pilot innovative curricula to integrate ethics into the first year computing class.

Dr. Josephine Mazzi Namayanja is an Assistant Professor of Management Science and Information Systems in the College of Management at University of Massachusetts Boston. She received her Ph.D in Information Systems at University of Maryland, Baltimore County in May 2015 where she also received her M.S in Information Systems in May 2010. She received her B.S in Information Technology from Makerere University Kampala in Uganda in May 2007. She has a broad interest in research primarily in data mining where her work poses potential benefits in several domains. Her research has been published in prestigious venues and has also been recommended by principle scientists and voted among the top articles, particularly in the healthcare domain. She is currently working on various research-related projects to enhance technological advancements in higher education, fin-tech, healthcare, cyber security, IT project management as well as economic growth and development in developing countries.

Scott Nestler, PhD, CAP is Academic Director of the MS in Business Analytics program, and an Associate Teaching Professor in the Department of IT, Analytics and Operations, within the Mendoza College of Business, at the University of Notre Dame. Nestler has a Ph.D. in Management Science and Statistics from the University of Maryland – College Park. He will be the Chair of the 2020 INFORMS Analytics Conference to be held in Denver, Apr 26-28, 2020.

Dr. Brice Merlin Nguelifack is an Assistant Professor of Statistics in the department of mathematics at the US Naval Academy. His research focuses on Robust nonparametric statistical method based on ranks. These involve writing R codes and/or Python codes to illustrate robustness and efficiency of the developed procedures using applications such as texture modeling, signal processing, and image processing models as well as spatial-temporal data analysis and high dimension data analysis through Monte Carlo simulations. Dr. Nguelifack also have a significant contribution in algebraic geometry, Lie algebra, Matrix theory and their application in statistics. Dr. Nguelifack is a member of the Mathematics research Communities (MRC), American Mathematical Association (MAA), American Statistical Association (ASA), Mathematical Association of America (AMS) and was recently awarded the MAA PIC Math Fellowship (Preparation for Industrial Careers in Mathematical Science). He is also on the group of faculty who was recently awarded a grant in developing a new curriculum course on data science at the US Naval Academy. Dr. Nguelifack received his B.S. in Applied Mathematics with minor in Computer Science from the University of Dschang in Cameroon, a M.S. in Number theory form the University of Yaoundé in Cameroon, another M.S. in Algebraic Geometric from the International Center for Theoretical Physics (ICTP) in Trieste Italy, and Ph.D. in Statistics from Auburn University, Auburn Alabama.

Atri Rudra is an Associate Professor in the department of Computer Science and Engineering (CSE) at the University at Buffalo (UB). His research interests are in error correcting codes and database algorithms. Recently he has worked on algorithms for structured matrices and their applications to neural networks as well considering ethical issues related to AI. On the educational front, he is interested in integrating ethical and societal considerations of computing into UG computer science curricula. He was the director of UG studies in the CSE department at UB from 2015-17 and oversaw an overhaul of its UG CS curriculum during that period.

Peregrine Schwartz-Shea, Professor in the Department of Political Science, University of Utah, is an advocate for methodological pluralism who has taught courses on research methods, research design, and units on research ethics. Together with Dvora Yanow, she has written on interpretive social science and ethics review (IRB) policy. Professor Schwartz-Shea is past president of the Western Political Science Association (2012-13) and recipient of graduate student mentoring awards (University of Utah, 2012; College of Social and Behavioral Sciences, 2019) and a National Science Foundation grant to co-organize the Workshop on Interpretive Methodologies in Political Science (2009).

Tia Sondjaja is a clinical assistant professor of mathematics at New York University, where she teaches a wide range of foundational undergraduate mathematics courses. She is also responsible for teaching and developing curricula for the university's quantitative reasoning program, which engages non-stem majors in quantitative methods and mathematical ideas as a way to understand the world. She is interested in incorporating modern data science pedagogies in quantitative reasoning curricula.

Ian Stockwell is the senior director of analytics and research/chief data scientist at The Hilltop Institute. He and his team focus on the quantitative analysis of Medicaid, Medicare, MDS, and multiple other data sources. Ian’s specialty is creating predictive models to assess the risk of adverse events among older adults and individuals with physical disabilities. Ian has also served as a technical advisor to the Federal Coordinated Health Care Office at CMS, providing technical and programming guidance for dually eligible individuals. He has also lead the collaboration with faculty at Johns Hopkins University on the implementation and evaluation of multiple clinical intervention programs. By applying sophisticated analytical methods on holistic data sets, the team helps clients build more effective and efficient health care programs.

Julia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science at New York University. Julia's research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. She established the Data, Responsibly consortium, serves on the New York City Automated Decision Systems Task Force, by appointment by Mayor de Blasio, and developed and taught a technical course on Responsible Data Science at NYU. In addition to data ethics, Julia works on management and analysis of preference data, and on querying large evolving graphs (NSF CAREER). She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.

Will Traves is a professor and former mathematics department chair at the US Naval Academy. He has taught courses in Machine Learning and Data Science and is the PI on an ONR grant to develop an undergraduate data science curriculum aimed at future naval officers.

Jaideep Vaidya is the RBS Deans Research Professor in the MSIS Department at Rutgers University. He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University. His general area of research is in security, privacy, data mining, and data management. He has published over 170 technical papers in peer-reviewed journals and conference proceedings, and has received several best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics. He is an ACM Distinguished Scientist, and is the Editor in Chief of the IEEE Transactions on Dependable and Secure Computing.

Anne L. Washington is an Assistant Professor of Data Policy at the NYU Steinhardt School, as of Spring 2018. Her expertise on public sector information currently addresses the emerging governance needs of data science. The National Science Foundation has funded her research multiple times including a prestigious 5-year NSF CAREER grant on open government data. Her data-intensive projects draw on both interpretive research methods and computational text analysis. She holds an undergraduate degree from Brown University, a graduate degree from Rutgers University, and a doctorate in Information Systems and Technology Management from The George Washington University School of Business.

Roger Woodard is the director of the program in Data Science at the University of Notre Dame. Dr. Woodard is a professor in the department of Applied and Computational Mathematics and Statistics. Prior to joining Notre Dame, Dr. Woodard was Alumni Distinguished Undergraduate Professor at North Carolina State University. He earned a PhD in statistics from the University of Missouri.

Robin Wright currently serves as director of the Division for Undergraduate Education. She is at NSF on a temporary assignment from the University of Minnesota’s Department of Biology Teaching and Learning, for which she was the founding head. She previously served at the University as Associate Dean for Faculty and Academic Affairs in the College of Biological Sciences and as professor of Genetics, Cell Biology, and Development. Dr. Wright served on the Education Committee of the American Society for Cell Biology and as chair of the Education Committee for the Genetics Society of America. She was a senior editor of Life Science Education, and is the founding Editor-in-Chief of a new biology curriculum journal called CourseSource. She was a member of the Executive Committee for the HHMI/National Academies of Science-sponsored Summer Institute on Biology Education and the National Academies Scientific Teaching Alliance. During this work, she was named as a National Academies Biology Education Mentor for fourteen consecutive years. She was elected as a fellow of the American Association for the Advancement of Science and was received the Elizabeth Jones Award for Excellence in Undergraduate Education from the Genetics Society of America.