Student Organizations Council

MIDAS helps build a strong network for data science and AI student groups on our campus, through working with the MIDAS Student Organizations Council. This group represents students in a broad spectrum of schools, colleges, programs, majors, and degree levels, embracing both undergraduate and graduate students. The council shares research and career opportunities, promotes the student organizations’ events, and collaborate and share resources among the organizations. The council will also design impactful data science and AI education activities and research programming, including events that promote diversity and inclusion within the data science and AI fields.

As members of the Council, these groups will also liaise and coordinate with MIDAS, connect with MIDAS affiliate faculty, industry contacts, and more. We cordially invite all data science and AI student groups on campus to connect with MIDAS and join in making a significant impact on our university’s data science and AI landscape. For inquiries, please contact Beth Uberseder, MIDAS Research Manager (ubersbe@umich.edu).

Master of Applied Data Science (MADS)

Representatives TBA

About: The University of Michigan School of Information’s (UMSI) Master of Applied Data Science (MADS) degree program is taught by top UMSI faculty well known as leaders in the field. Our rigorous admissions process ensures you will be learning among a close-knit community of peers from a variety of backgrounds.

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Michigan AI Safety Initiative (MAISI)

Representatives:

  • Meera Kumar, Co-President (Undergraduate, CoE Computer Science)
  • Carson Ellis, Club Co-President (Undergraduate, CoE Computer Science)

About: the Michigan AI Safety Initiative (MAISI) is a student group dedicated to positively shaping the development of advanced AI,with a focus on preventing catastrophes.

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Michigan Data Science Team (MDST)

Representatives:

  • Sachchit Kunichetty, President (Undergraduate, CoE Computer Science)
  • Andrew Ye, VP External (Undergraduate, LSA, Data Science)
  • Casper Guo, VP Education (Undergraduate, CoE, Data Science)

About: MDST is dedicated to educating students about the practical applications of data science. This means we work on projects, hold workshops, and also have a couple of social events throughout the semester.

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Michigan EcoData

Representatives:

  • Cameron Moy, Executive Director (Undergraduate, Information)
  • Jennifer Lee, Marketing Director (Undergraduate, LSA Cognitive Science & Computer Science)
  • Ashley Philip, Website Director (Undergraduate, CoE Computer Science)

About: Collaborating on data-driven projects, Michigan EcoData is a new vibrant organization at the University of Michigan that works on creating data driven and multidisciplinary solutions to ecological issues.  Our philosophy as an organization is oriented towards identifying gaps in knowledge in order to enact change that benefits the ecological well-being of communities and ecosystems. EcoData members work in small groups and work as a team to accomplish project goals. We foster an incredibly open environment, where members from a variety of disciplines can come together to work on project teams or start their own.

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Michigan Student Artificial Intelligence Lab (MSAIL)

Representatives:

  • Asad Khan, President, (Undergraduate, LSA Computer Science)
  • Ilan Breines, External Affairs Chair (Undergraduate, LSA Computer Science)
  • Abhay Shakhapur, Education Lead, (Undergraduate, LSA Data Science)

About: The Michigan Student Artificial Intelligence Lab (MSAIL) is a student organization for discussion of artificial intelligence and machine learning.  We are a community in which motivated students read and discuss modern machine learning literature together in weekly discussion groups. We welcome students of all backgrounds and abilities.

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OpenMI

Representatives:

  • Jackson Leb, Advisor (Undergraduate, LSA, BCN and Computer Science)
  • Kiana Pandit, President (Undergraduate, LSA, Cognitive Science)
  • Mason Miller, VP of Recruitment (Undergraduate, LSA Computer Science)

About: OpenMI’s purpose is to educate students at UofM on Machine Learning and Artificial Intelligence, as well as give our members practical experiences designing and programming these models and algorithms.

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Statistics in the Community (STATCOM)

Representatives:

  • Soumik Purkayastha, President (PhD Candidate, Department of Biostatistics)
  • Kevin Yang

About: STATCOM (Statistics in the Community) at the University of Michigan is a community outreach program provided by graduate students in the Departments of Biostatistics, Statistics, and the Program for Survey Methodology at University of Michigan. The program offers the expertise of statistics graduate students, free of charge, to non-profit governmental and community organizations in the areas of data organization, analysis, and interpretation.  MIDAS has partnered with STATCOM in the past by hosting the Data for Public Good Symposium, a full day event that featured presentations and workshops from UM students, faculty, and community and industry partners on data science projects designed to contribute to the betterment of society.

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