SSMCDAT2020 Hackathon – POSTPONED
Due to the ongoing developing situation with COVID-19 virus and travel restrictions, for the health and well-being of all the speakers and participants, the decision was made to postpone the SSMCDAT2020 at Lehigh University which was scheduled to be held March 26-28, 2020.
NEW PROPOSED DATES: September 17 – 19, 2020.
Teams that have already been accepted should indicate availability by completing this form.
The exponential increase in available computing power has made it possible to generate and analyze large amounts of materials data. One of the leading challenges in solid-state materials chemistry is determining how to best make use of this abundance of materials data to accelerate the development of new materials-based technologies.
Solid-state materials chemistry and data science teams
SSMCDAT2020 is an NSF-funded “hackathon” in which teams, each composed of both solid-state materials chemistry (“ssmc”) researchers and data (“dat”) scientists, will work together to apply advanced data science methods to address important, challenging problems in solid-state materials chemistry. The goal of this hackathon is to spark new collaborations in which important, challenging problems in solid-state materials chemistry are addressed in novel ways by leading methods in data science. It is anticipated that as a result of this workshop, the most successful teams may pursue additional funding and resources to build upon their successful collaboration.
Funding and support
SSMCDAT2020 is supported by the Solid State & Materials Chemistry (SSMC) program, the Condensed Matter & Materials Theory (CMMT) program (both in NSF’s Division of Materials Research), the Big Data Science & Engineering (BIGDATA) program (Division of Mathematical Sciences) and the Office of Multidisciplinary Activities, through awards DMR-1938729 and DMR-1938734.
The event is being hosted by the Institute for Data, Intelligent Systems, and Computation (I-DISC) at Lehigh University.