Roundtable on Data Science Postsecondary Education A Compilation of Meeting Highlights (2020) / Chapter Skim
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11 Meeting #10: Improving Coordination Between Academia and Industry
11 Meeting #10: Improving Coordination Between Academia and Industry
Pages 138-156
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From page 138... ...
Eric Kolaczyk, Boston University, welcomed roundtable participants and noted that although partnerships between industry and academia have existed for years, such collaborations are now occurring at a different scale and with a new intensity, owing in part to the emergence of data science. Academia–industry partnerships enable students to integrate data science skills to address real-world problems.
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From page 139... ...
Existing models of academia–industry collaboration include sponsored research, summer internships, capstone projects, visiting researcher status, and formal industrial membership programs. She explained that there is no one-size-fits-all model for academia– industry partnerships; it is important to develop a shared vision around building a thriving data science education and research community that spans academia and industry, with students at the center.
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From page 140... ...
He and Nugent discussed the value of corporate relations officers, particularly for taking a holistic approach to supporting and sustaining academia–industry partnerships. Corporate relations officers highlight the diverse opportunities available to potential industry collaborators as well as the diverse students at CMU in the hopes that companies will choose to engage in long-term partnerships with any and all of CMU's colleges.
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From page 141... ...
Once a faculty liaison is assigned to a member company, mutual talks and visits occur, potential research collaborations are identified, and the company decides whether it would like to participate in a visiting scholar program to embed one of its researchers in a Stanford research laboratory. Stanford's Recruiting Program,5 which is part of the Computer Forum, hosts information ses 3 The website for the Stanford AI Laboratory is http://ai.stanford.edu/, accessed Febru ary 13, 2020.
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From page 142... ...
A true public–private partnership, 50 percent of the funding for AMPLab came from NSF, the Defense Advanced Research Projects Agency, the Department of Energy, and the Department of Homeland Security, and 50 percent came from 40 industry partners. AMPLab nurtured its relationship with industry collaborators through twice-yearly retreats, during which faculty received feedback on project directions and students received feedback on research ideas.
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From page 143... ...
. He wondered whether NSF could play a role in convening academia-industry partnerships, because its Computer and Information Science and Engineering division has already facilitated successful programs with several industry partners.
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Tracking and Replicating Success Nicholas Horton, Amherst College, asked how the panelists' institutions have tracked their students' progress and wondered whether alumni serve as allies for these industry partnerships. Nugent said that CMU's Corporate Capstone program is not yet mature enough to assess the feedback loop, but, anecdotally, students are talking about the program at career fairs and recent alumni are promoting the program to their supervisors.
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Faculty and graduate students have the opportunity to participate in ambitious and impactful research and to access increased resources and salary. CCC's goal is to preserve the positive aspects of these academia– industry partnerships while understanding and mitigating risks.
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From page 146... ...
StatPREP,13 which provides resources, workshops, and webinars for faculty on how to bring the modern tools and methods of data 10 The website for Campus Cyberinfrastructure is https://www.nsf.gov/funding/pgm_ summ.jsp? pims_id=504748, accessed February 13, 2020.
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From page 147... ...
While tracking students who earned degrees in mathematics to better understand their job placement, MAA found that their job titles are rarely "mathematician." Levy observed that mathematicians do not always have a presence in academia–industry partnerships, despite their high level of interest. She suggested that industry could help MAA understand how to create meaningful experiences -- building more partnerships, staying connected with mathematics graduates who accept jobs in industry, and creating challenges and competitions with broad participation that integrate data science -- that would build competencies for future hires.
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From page 148... ...
Expanding Opportunities for Students Alfred Hero III, University of Michigan, mentioned that the thriving economy in southeast Michigan has enabled the Michigan Institute for Data Science16 to be successful in securing industry partnerships. However, because the competition is intense and industry partners often require exclusive nondisclosure agreements, universities run the risk of being limited to partnering with only one company.
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From page 149... ...
a commission of distinguished academics at Social Science One,17 an organization he created with Nate Persily at Stanford, who have signed nondisclosure agreements, have complete access to Facebook data, and have agreed not to publish; and (2) a group of outside academics who apply for limited data access and have complete academic freedom (i.e., no prepublication approval)
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19 The website for the Open Compute Project is https://www.opencompute.org/, accessed February 13, 2020. 20 The website for the Telecom Infra Project is https://telecominfraproject.com/, accessed February 13, 2020.
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Google supports Girls Who 21 The website for the Data Science Development program is https://datascience. massmutual.com/dsdp, accessed February 13, 2020. 22 The website for the Data Engineering Development program is https://datascience.
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From page 152... ...
are available through massive open online courses. Google is reviewing its guidelines for data sharing and is promoting academia–industry collaborations that will develop responsible and productive researchers by hiring interns, welcoming visiting faculty, and offering faculty joint appointments.
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From page 153... ...
Marcu said that Amazon engages frequently with economists, computer scientists, data scientists, and machine learning experts. Willardson noted that Facebook engages often with data scientists who have expertise in artificial intelligence, machine learning, connectivity research, and natural language processing, and Sullivan commented that MassMutual's engagement extends beyond the discipline of data science.
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From page 154... ...
Antonio Ortega, University of Southern California, asked about strategies to attract junior faculty to partnerships. Sullivan said that MassMutual's Data Engineering Development program has an academic advisory board that includes junior-level faculty, and Marcu noted that the number of opportunities in general for junior faculty has increased.
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From page 155... ...
Zorn said that it is important to find the right technology that will empower companies to share data by preventing unauthorized access and highlighting mutually beneficial opportunities of data sharing. Sahami suggested a new model for data sharing in which third-party public institutions are leveraged to socialize the associated risk instead of having either the company or the researcher assume the risk.
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From page 156... ...
encourage students to do multiple data science internships; (3) create a consortium of industry collaborators who contribute data and problems; (4)
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