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This Data Mine Learning Community, a collaboration between the Honors College, Purdue Libraries, African American Studies and the Department of Anthropology, seeks to create tools and methods to help scholars think critically and engage the public in conversation about the role of Data Science in society. Critical Data Studies is an interdisciplinary field that addresses the ethical, legal, socio-cultural, epistemological and political aspects of data science, big data and digital infrastructure. Particular emphasis will be given to democratic and participatory approaches to algorithm design and responsible data management, curation and dissemination. Opportunities to engage the larger campus community through the monthly Critical Data Studies seminar forms a key component of this cohort.

Eligibility

Any undergraduate student with an interest in the Data Sciences, including ethics, process, technical, governance and policy issues, societal and cultural implications of utilizing large datasets, regardless of major.

Residential Component

  • Students from this learning community must reside in Hillenbrand Hall
  • Information on this residence hall can be found here
  • Students who are required to reside in a different residence hall (e.g. due to the Honors College or athletics participation) or who do not sign a housing contract may not participate in this learning community
  • Your roommate in most cases will be a member of the learning community
  • Completing a housing contract is a separate process from applying for a learning community

Duration

Fall and Spring semesters

Associated Classes

Fall: 

  • Topics in Critical Data Studies (HONR 39900) (3 credits total)

Fall and Spring:

  • Critical Data Studies Open Seminar - ILS 59500-H (1-2 credits total, 1 each semester), one credit per term which can be taken in Fall and/or Spring.
  • STAT 19000 1 credit per semester -- The Data Mine I and II

Spring:

  • ILS 49000 or equivalent 40000 level directed research credit in home department (1-2 credits total)

Events and Activities Included:

  • Weekly dinners with LC participants
  • Tour of Purdue’s computational facilities
  • Social gatherings with LC members
  • Seminars by visiting speakers including practicing actuaries and data scientists
  • Meals with campus and community leaders
  • Game / recreation nights
  • Career and graduate school panels

Information above is subject to change. If you are placed in the LC, the associated courses will be on your schedule prior to you registering for the rest of your courses.

Learning Communities ERHT 1275 1st Street, West Lafayette, IN 47906 - (765) 494-5785 or (765) 494-8571, learningcommunities@purdue.edu

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