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Division of Computing, Data Science, and Society

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Division of Computing, Data Science, and Society
NameDivision of Computing, Data Science, and Society
Established21st century
TypeAcademic division
LocationUnited States
ParentUniversity

Division of Computing, Data Science, and Society is an academic division that integrates computing, data science, and social inquiry to address complex societal challenges. It brings together faculty, students, and partners from institutions such as Harvard University, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, and Carnegie Mellon University to foster interdisciplinary education and research. The division interacts with organizations like Google, Microsoft, IBM, Amazon (company), and Mozilla to translate scholarship into practice.

Overview

The division combines curricula and initiatives influenced by programs at Princeton University, Yale University, Columbia University, University of Chicago, and University of Pennsylvania while engaging with research agendas from Bell Labs, Intel, NVIDIA, OpenAI, and DeepMind. It situates work at the intersection of computing traditions exemplified by Alan Turing, John von Neumann, Grace Hopper, Ada Lovelace, and Claude Shannon and contemporary data science movements associated with Andrew Ng, Geoffrey Hinton, Yann LeCun, Fei-Fei Li, and Judea Pearl. Institutional collaborations include partnerships with National Science Foundation, National Institutes of Health, Defense Advanced Research Projects Agency, European Research Council, and Wellcome Trust.

History and Formation

The formation drew on antecedents such as the creation of departments at University of Cambridge, University of Oxford, Imperial College London, ETH Zurich, and École Polytechnique Fédérale de Lausanne. Historical influences include milestones like the Manhattan Project era computing advances, the ARPANET development, the Turing Award, and the rise of internet culture through entities like AOL, Netscape Communications Corporation, and ICANN. Funding and program models emulated successful initiatives from Johns Hopkins University, Duke University, University of Michigan, University of Washington, and University of Texas at Austin, and responded to policy debates involving European Union directives, United Nations reports, and commissions such as those led by Bill Gates and Tim Berners-Lee.

Academic Programs and Degrees

Degree offerings mirror structures from Master of Science in Computer Science programs at Cornell University, University of California, Los Angeles, University of Toronto, McGill University, and University of British Columbia and include specialized tracks similar to those at New York University, Columbia University School of Engineering and Applied Science, Princeton School of Engineering and Applied Science, and Brown University. Certificates and professional masters draw inspiration from programs at London School of Economics, INSEAD, Stanford Graduate School of Business, and Harvard Business School for data ethics and policy curricula influenced by publications from Amartya Sen, Martha Nussbaum, Noam Chomsky, Michael Sandel, and Cass Sunstein. Joint degrees often partner with schools such as Harvard Kennedy School, Yale Law School, Georgetown University Law Center, Columbia Law School, and Stanford Law School.

Research Areas and Centers

Research centers parallel entities like the Berkman Klein Center for Internet & Society, Stanford Artificial Intelligence Lab, MIT Computer Science and Artificial Intelligence Laboratory, Oxford Internet Institute, and Data Science Institute (Columbia University), covering topics connected to pioneers and projects such as Ada Lovelace Day, Manhattan Project, Human Genome Project, Large Hadron Collider, and CERN collaborations. The division’s labs align with research streams exemplified by Reinforcement learning efforts from DeepMind, Graph neural networks work associated with Yoshua Bengio, and causal inference advanced by Judea Pearl and Donald Rubin. Policy and ethics initiatives reference commissions and documents from European Commission, Council of Europe, UNESCO, OECD, and World Economic Forum.

Faculty and Administration

Faculty profiles reflect career paths similar to scholars at Harvard Medical School, Johns Hopkins Bloomberg School of Public Health, Sloan School of Management, Kellogg School of Management, and institutes staffed by fellows from Royal Society, National Academy of Sciences, American Academy of Arts and Sciences, MacArthur Fellows Program, and recipients of the Turing Award and NeurIPS best paper awards. Administrative leadership often includes appointments with prior roles at Provost of a university, deans from School of Engineering, directors from Center for Democracy & Technology, executives from Electronic Frontier Foundation, and advisors who previously served at National Science Foundation, DARPA, Office of Science and Technology Policy, and European Research Council.

Industry Partnerships and Outreach

Partnerships and outreach reflect models used by collaborations between Google DeepMind, Microsoft Research, IBM Research, Amazon Web Services, and Facebook AI Research with university labs. The division engages in sponsored projects with corporations like Apple Inc., Samsung Electronics, Siemens, Boeing, and General Electric and policy dialogues with European Parliament, US Congress, White House, UN Human Rights Council, and World Health Organization. Public-facing programs adopt formats from SXSW, TED Conference, RSA Conference, Strata Data Conference, and NeurIPS workshops.

Student Life and Professional Development

Student organizations and professional development mirror student groups at Association for Computing Machinery, IEEE Computer Society, DataKind, Women in Machine Learning, and Black in AI and participate in competitions like the ACM International Collegiate Programming Contest, Kaggle competitions, DARPA Grand Challenge, RoboCup, and Google Code Jam. Career support follows practices from Career Services units at MIT, Stanford Career Education, Harvard Office of Career Services, University of Pennsylvania Career Services, and UC Berkeley Career Center, connecting students to internships and alumni networks at firms including Goldman Sachs, McKinsey & Company, Boston Consulting Group, Palantir Technologies, and Stripe.

Category:Academic divisions