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2022 IDIES Annual Symposium

October 20 @ 9:00 am - 5:00 pm

Join us—the Institute for Data-Intensive Science and Engineering (IDIES)—for our 2022 annual symposium on Thursday, October 20th! We’re excited to announce that this year’s event is returning to an in-person format at the West Reading Room of the Johns Hopkins Welch Medical Library, located on the East Baltimore medical campus. Registration* is required in order to attend.

The IDIES annual symposium aims to bring together experts in the theoretical foundations, development, and application of data intensive technologies and analysis to share discoveries, practical ideas, and insights as they relate to big data research.

In our effort to promote interdisciplinary collaborations, we invite anyone—from our JHU affiliates, to governmental agencies, local organizations, non-profits, and beyond—with an interest in data science and big data, especially as they pertain to one’s current or prospective research, to attend this symposium.

To learn more about IDIES and our resources, or to register to attend the symposium, please be sure to visit our website at idies.jhu.edu.

In addition to a catered lunch, snacks, and closing cocktail reception, this year’s symposium will include:

▷Keynote Speakers Dr. Stephanie Hicks, Associate Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health; and Dr. Susan Mullally Deputy Project Scientist for the James Webb Space Telescope at the Space Telescope Science Institute.

▷Plenary speakers highlighting exciting data science break-throughs and applications

▷IDIES Seed Award updates & the presentation of  ARCH’s (Advanced Research Computing at Hopkins, formerly Maryland Advanced Research Computing Center, MARCC) Robbins Prize in High-performance Computing

▷Juried Poster Session

*Registration will close at 5:00p.m. on Monday, October 17th.

Details

Date:
October 20
Time:
9:00 am - 5:00 pm
Event Category:
Website:
https://idies.jhu.edu/news-events/events/idies-annual-symposium/

Organizer

Institute for Data Intensive Engineering and Science (JHU)
View Organizer Website

Venue

West Reading Room, Welch Library (JHU East Medical Campus)
1900 E Monument St.
Baltimore, MD United States
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