Michigan State University & University of Michigan invite you to their joint monthly webinar & meetup series for Fall 2020!

Agenda

3:30: Keynote: Teaching computers to discover scientific knowledge by reading papers
4:15: Lightning Talks: Data Science Methodology

• Alyssa Travitz (UM)
• Yiqi Wang (MSU)
• Danielle Barnes (MSU)
• Sarah Tymochko (MSU)"
  4:45: Networking + Q&A
  5:00: Wrap-up

Registration

Please complete the form below to receive Zoom meeting details: https://forms.gle/j6psmyVFRBBdAVDV8

About the Keynote

Enormous amounts of ever-changing knowledge are available online in diverse emergent textual styles (e.g., news vs. science text). This talk presents some of the H2Lab @UW's recent efforts to address the problem of textual comprehension and reasoning about scientific text, including knowledge extraction and claim verification given scientific articles.
More information: https://women-plus-datascience.github.io/

Keywords

Natural Language Processing, NLP for bio-medicine, Deep Learning, Knowledge extraction

About the Keynote Speaker

Hanna Hajishirzi is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a Research Fellow at the Allen Institute for AI. Her research spans different areas in NLP and AI, focusing on developing machine learning algorithms that represent, comprehend, and reason about diverse forms of data at large scale. Applications for these algorithms include question answering, reading comprehension, representation learning, knowledge extraction, and conversational dialogue. Honors include the Sloan Fellowship, Allen Distinguished Investigator Award, multiple best paper and honorable mention awards, and several industry research faculty awards. Hanna received her PhD from University of Illinois and spent a year as a postdoc at Disney Research and CMU.

Planning Committee

*Dr. Janani Ravi, Pathobiology and Diagnostic Investigation, MSU, R-Ladies East Lansing
*Dr. Jing Liu, Michigan Institute for Data Science (MIDAS), U-M
*Dr. Elizabeth Munch, Department of Computational Mathematics, Science & Engineering, MSU
*Dr. Parisa Kordjamshidi, Department of Computer Science & Engineering, MSU
*Dr. Dola Pathak, Department of Statistics, MSU

Questions, sponsorship interests, email is at:
women.plus.datascience@gmail.com