New Summit!

What: University Data Summit
When: August 23, 2017: 8:30 a.m. – 5:00 p.m.
Where: The iHotel Chancellor Ballroom
Who:

  1. Anyone who maintains, provides, analyses, or utilizes campus data in the University of Illinois community
  2. Anyone who is interested in improving program, student, faculty, and financial outcomes
  3. Anyone interested in the applications of data to inform smart planning, smart decisions, and smart actions

Register today!

Main Theme: Upwards as a Data-Smart University

Synopsis: The University of Illinois acquires, archives, and supports access to a data that touches all of campus including students, alumni, faculty and staff, facilities, research, outreach, and alumni and corporate engagement. Unfortunately, these data are often siloed, each with their own restrictions that severely limits access to individual data and generally prevents federation and value-added analysis.

With the growth of data science, our peers have demonstrated that these data hold great promise to revolutionize how Universities operate. As a result, we are holding a University Data Summit to publicize the different types of data available within our university, to discuss how we might overcome challenges that limit access or use, and to brainstorm about tools and analyses that relevant stakeholders would like to see developed. As a specific example, just as companies spend a considerable amount of money to improve targeted ads in online settings, we could use a similar approach to aid in recruitment of a diverse and inclusive student body, to identify and assist at-risk students earlier in the process, and to more effectively tailor alumni engagement.

The overall goal of the summit is to help move the whole Illinois community upwards as a data-smart University. The major topics of discussion will be student life (from recruitment to alumni), faculty support (from recruitment to success), and effective resource allocation.

View the Draft Agenda.

Specific outcomes of the summit might include designs of new tools and related data sets to enable the following:

  1. Develop a student “academic health” record (in a similar spirit to medical records, but focused on academics) that encode a student’s academic life from admissions through graduation and into alumni relations. This record can be used:
    • by admissions personnel to increase admission yields,
    • by advisors and faculty to improve retention and graduation rates and
    • by advancement to tailor alumni engagement on an individual basis.
  2. With aggregated student records, we can develop machine learning models to better:
    • predict (and increase) admissions yields to positively impact program rankings
    • identify and recruit students from under-represented groups to increase diversity
    • identify and support at-risk students earlier.
  3. With aggregated student and alumni data we can develop network models to improve interactions with potential donors so that all information about their previous familial experiences with the University of Illinois including connections to current students or other alumni are known by all engaged campus representatives.
  4. Improving University operations including
    • Resource allocation
    • Facility operations
    • Space utilization
    • Workflow coordination
    • Project management
    • Process improvement
    • Financial reporting and budgeting

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