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Data Science for Undergraduates: Opportunities and Options (2018)

Chapter: Appendix C: Contributing Individuals

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Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
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C

Contributing Individuals

The committee would also like to thank the following individuals for providing input to this study:

John Abowd, U.S. Census Bureau

Deb Agarwal, Lawrence Berkeley National Laboratory

Jon Ahlquist, Florida State University

Barbara Alvin, Eastern Washington University

Barbara Anthony, Southwestern University

Stephanie August, National Science Foundation

David Austin, North Carolina State University

Maria Aysa-Lastra, Winthrop University

Tom Barr, American Mathematical Society

Laura Bartley, University of Oklahoma

Chaitan Baru, National Science Foundation

Nina Bijedic, University “Džemal Bijedić” of Mostar

Pamela Bishop, University of Tennessee, Knoxville

Sally Blake, Flagler College

Roselie Bright, U.S. Food and Drug Administration

Quincy Brown, American Association for the Advancement of Science

Andy Burnett, Knowinnovation

Dave Campbell, Simon Fraser University

Robert Campbell, Brown University

Eva Campo, National Science Foundation

Robert Carver, Stonehill College

Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×

Amy Chang, American Society for Microbiology

Lei Cheng, Olivet Nazarene University

Hongmei Chi, Florida A&M University

Alok Choudhary, Northwestern University

William Coberly, University of Tulsa

Peyton Cook, University of Tulsa

Bill Corey, University of Virginia

Melissa Cragin, Midwest Big Data Hub

Catherine Cramer, New York Hall of Science

James Curry, University of Colorado Boulder

Nicole Dalzell, Duke University

Juliana DeCastro, Núcleo de Planejamento Estratégico de Transporte e Turismo

Sam Donovan, University of Pittsburgh

Renee Dopplick, Association for Computing Machinery

Maureen Doyle, Northern Kentucky University

Ruth Duerr, Ronin Institute

Arturo Duran, IVA Ventures

Stephen Edwards, ACM Administrative Centre

Madeleine Clare Elish, Data and Society

Sandra Ellis, Texas A&M University, Corpus Christi

Mark Embree, Virginia Polytechnic Institute and State University

Paula Faulkner, North Carolina Agricultural and Technical State University

Raya Feldman, University of California, Santa Barbara

Dilberto Ferraren, Visayas State University

William Finzer, Concord Consortium

Brittany Fiore-Gartland, University of Washington

Julia Fisher, Coker College

Michael Franklin, University of Chicago

Roger French, Case Western Reserve University

Kimberly Gardner, Kennesaw State University

Sommer Gentry, U.S. Naval Academy

Tara Ghazi, University of California, Berkeley

Richard Gill, Brigham Young University

Shana Gillette, U.S. Agency for International Development

Juan Godoy, Universidad Nacional de Córdoba, Consejo Nacional de Investigaciones Cientificas y Técnicas

Greg Goins, North Carolina A&T State University

Robert Gould, University of California, Los Angeles

C.K. Gunsalus, University of Illinois, Urbana-Champaign

Mirsad Hadzikadic, University of North Carolina, Charlotte

Jim Hammerman, TERC

Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×

Michael Harris, Bunker Hill Community College

John Hathaway, Brigham Young University, Idaho

Adam Hughes, Pew Research

Kristin Hunter-Thomson, Rutgers, The State University of New Jersey

Ambra Hyskaj, National Association of Public Health Albania

Charles Isbell, Georgia Institute of Technology

Mark Jack, Florida A&M University

Vandana Janeja, National Science Foundation

Bob Jecklin, University of Wisconsin, La Crosse

Xia Jing, Ohio University

Jeremiah Johnson, University of New Hampshire

John Johnstone, University of Alabama, Birmingham

Ryan Jones, Middle Tennessee State University

Kari Jordan, Data Carpentry

Sungkyu Jung, University of Pittsburgh

Michael Kangas, Doane University

Nandini Kannan, National Science Foundation

Roxanne Kapikian, GlaxoSmithKline

Danny Kaplan, Macalester College

Casey Kennington, Boise State University

Sara Kiesler, National Science Foundation

Deepak Khatry, MedImmune

Brian Kotz, Montgomery College

Vladimir Krylov, Crimean Engineering and Pedagogical University

Kristin Kuter, Saint Mary’s College

Jay Labov, National Academies of Sciences, Engineering, and Medicine

Paula Lackie, Carleton College

Sharon Lane-Getaz, St. Olaf College

Nicole Lazar, University of Georgia

Jeff Leek, Johns Hopkins University

Matthew Liberatore, University of Toledo

Haralambos Marmanis, Marmanis Group

Pat Marsteller, Emory University

Allison Master, University of Washington

Sorin Adam Matei, Purdue University

Abhinav Maurya, Carnegie Mellon University

Victoria McGovern, Burroughs Wellcome Fund

Daniel Angel Ferreira Mena, DAF-Engineering

Chris Mentzel, Gordon and Betty Moore Foundation

Sears Merritt, MassMutual Financial Group

Antoni Miklewski, Polish Academy of Sciences

Ashlea Milburn, University of Arkansas

Alex Montilla, U.S. Environmental Protection Agency

Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×

Sheri Morgan, Mental Health Association of Franklin and Fulton Counties

Richard Morris, MGI-RamCo

Mary Kehoe Moynihan, Cape Cod Community College

Bhramar Mukherjee, University of Michigan

Sherman Mumford, University of North Carolina, Charlotte

Ivo Neitzel, Faculdade de Ciências e Tecnologia de Birigui

Richard Nelesen, University of California, San Diego

Joseph Nelson, George Washington University

Claudia Neuhauser, University of Minnesota

Deborah Nolan, University of California, Berkeley

Kofi Nyamekye, Integrated Activity-Based Simulation Research, Inc.

Monika Oli, University of Florida

Fred Oswald, Rice University

Robert Panoff, Shodor

Dennis Pearl, Pennsylvania State University

Joan Peckham, University of Rhode Island

Vikas Pejaver, University of Washington

Gabriel Perez-Giz, National Science Foundation

Patrick Perry, New York University

Steve Pierson, American Statistical Association

Michael Posner, Villanova University

Earnestine Psalmonds-Easter, National Science Foundation

Hridesh Rajan, Iowa State University

Louise Raphael, Howard University

Renata Rawlings-Goss, Georgia Institute of Technology

Peggy Rejto, Normandale Community College

Loren Rhodes, Juniata College

Patrick Riley, Google, Inc.

Martina Rosenberg, University of New Mexico

Kim Roth, Juniata College

Bill Roweton, Chadron State College

Andee Rubin, TERC

Maya Sapiurka, Society for Neuroscience

Karl Schmitt, Valparaiso University

Kala Seal, Loyola Marymount University

Arun Sharma, Wagner College

Lauren Showalter, National Academies of Sciences, Engineering, and Medicine

Cláudio T. Silva, New York University

Christine Smith, University of New Mexico

Suzanne Smith, Johnson County Community College

S. Srinivasan, Texas Southern University

Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×

Anil Srivastava, Open Health Systems Laboratory

Natalya St. Clair, Concord Consortium

Victoria Stodden, University of Illinois, Urbana-Champaign

Martin Storksdieck, Oregon State University

George Strawn, National Academies of Sciences, Engineering, and Medicine

Ralph Stuart, Keene State College

Duncan Temple Lang, University of California, Davis

Kalum Udagepola, Scientific Research Development Institute of Technology Australia

Mel van Drunen, HAS University of Applied Sciences

William Yslas Velez, University of Arizona

Mladen Vouk, North Carolina State University

Ron Wasserstein, American Statistical Association

Cheryl Welsch, State University of New York, Sullivan

Mary Whelan, Arizona State University

Nekesha Williams, Louisiana State University

Emerald Wilson, Prince George’s Community College

Brian Wingenroth, National Consortium for the Study of Terrorism and Responses to Terrorism, University of Maryland

William Winter, State University of New York College of Environmental Science and Forestry

Mary Wright, Brown University

Paul Zachos, Association for the Cooperative Advancement of Science and Education

Elena Zheleva, National Science Foundation

Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×

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Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 111
Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 112
Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 113
Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 114
Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 115
Suggested Citation:"Appendix C: Contributing Individuals." National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. doi: 10.17226/25104.
×
Page 116
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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent.

Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

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