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Data Science Community Hour

Regular (with aim of biweekly) in-depth technical discussions, presentations, tutorials, or meet-ups from the community of data science researchers (student, staff, or faculty) and educators. We envision having an extended dialogue with each presenter and a post-presentation discussion in break-out rooms among the community members.

Goal: Connect students and researchers interested in data science across campus.

  • Build professional and peer networks for career development, academic success, and research collaborations.
  • Share knowledge and have enriched discussions that sharpen the technical and presentation skills of members, as well as introduce different aspects of data science.

When: See below for upcoming sessions


From Differentiable Reasoning to Self-supervised Embodied Active Learning
Prof. Russ Salakhutdinov, Ph.D, Dept. of Machine Learning, Carnegie Mellon University
Time: October 6, 2021 @ 4:30 PM to 5:30 PM
Details

Do you want to lead an in-depth discussion on a journal or conference paper central to your research? Would you like to present a talk (e.g., recent research results readied for a conference, an upcoming proposal defense, or want to practice your oral defense)? Do you have a tutorial (30–40 minutes) ready or soon to be ready to share with the community members? Do you have a topic you would like to learn more on through a tutorial? We are waiting to hear from you. Please reach out to us by emailing Austin Brockmeier <ajbrock@udel.edu> or fill out this Google form.

Please visit https://capture.udel.edu/channel/Data+Science+Community+Hour for recordings of previous events (must be logged in).

Previous Semester Speakers

Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.