As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The MIDAS annual symposium is the largest data science research event on U-M campus.
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Call for Abstracts
The Michigan Institute for Data Science (MIDAS) invites submission of abstracts for the 2019 U-M Data Science Symposium that will take place on Nov. 13-15. This year’s theme is “Embracing the Challenge: Data Science for the Next Ten Years”.
We invite abstracts in all of the following areas:
- Theoretical foundations of data science
- Methodology and tools for data science
- Real-world applications of data science in any research domain
- The ethics and societal impact of data science
- Emerging areas of data science
Posters with students as first authors will be automatically entered in the poster competition.
Submission Deadline: Sept. 20, 2019
Notification: Oct. 15, 2019
- Please submit your abstract online.
- Please include a title, list of authors/presenters and their affiliations.
- At least one author should have a U-M affiliation.
- The main body of the abstract should be no more than 300 words, and should include a brief summary of the research, methods, main results and impact.
- Please do not include figures, tables or bibliography in the abstract.
- Please indicate whether you prefer an oral presentation or poster. Oral presentations will be 15 minutes in length, including Q&A, and may consist of one or multiple presenters. The review committee will try its best to accommodate your preference.
Tentative program (more details to come):
(click on title to expand)
Featuring data science research across methodology and application domains. Abstract submission due Sept. 20.
Featuring a large number of research posters from U-M data scientists. Abstract submission due Sept. 20. Posters with students as first authors will be entered automatically into a post competition with cash awards in multiple categories.
Led by Professor Michael Traugott. He and other panelists will discuss data-intensive research on the social media and the public’s political views and voting behavior in the context of the 2016 election and the upcoming election.
Featuring four projects funded by MIDAS, and other ongoing projects at U-M with the same general theme.
- “Understanding and Mining Patterns of Audience Engagement and Creative Collaboration in Largescale Crowdsourced Music Performances”
Danai Koutra, Walter Lasecki, Computer Science and Engineering
- “Understanding How the Brain Processes Music through the Bach Trio Sonatas”
Daniel Forger, Mathematics; James Kibbie, Organ,
- “The Sound of Text”
Rada Mihalcea, Electrical Engineering and Computer Science; Anıl Çamcı, Performing Arts Technology;
- “A Computational Study of Patterned Melodic Structures across Musical Cultures”
Somangshu Mukherji, Music Theory
This event will run from mid-October to Nov. 15. Student teams will examine data provided by industry sponsors and come up with solutions to research questions provided by the sponsors or defined by the student teams. Interested students should contact MDST to ask how to participate. A brief presentation and award ceremony will be held during the symposium.
- Ceren Budak, School of Information
- Yang Chen, Statistics
- Danai Koutra, Computer Science and Engineering
- Jing Liu, MIDAS
- Sam Mukherji, Music Theory
- Arvind Rao, Computational Medicine and Bioinformatics, and Radiation Oncology
- Zhenke Wu, Biostatistics
- Jun Zhang, Psychology and Mathematics