Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics

Conference · Tue Dec 01 00:00:00 EST 2020

OSTI ID:1814245

Parete-Koon, Suzanne  ^[1]; Peterson, Peter  ^[1]; Granroth, Garrett  ^[1]; Zhou, Wenduo  ^[1]; Devineni, Pravallika  ^[1]; Laanait, Nouamane  ^[1]; Yin, Junqi  ^[1]; Borisevich, Albina  ^[1]; Maheshwari, Ketan  ^[1]; Dumas, Melissa  ^[1]; Ravulaparthy, Srinath ^[2]; Kurte, Kuldeep ^[1]; Sanyal, Jibo  ^[1]; Berres, Andy  ^[1]; Kotevska, Olivera  ^[1]; Alamudun, Folami T.  ^[1]; Grossman, Max ^[3]; Danciu, Ioana ^[1]; Alterovitz, Gil ^[1]; Herrmannova, Dasha  ^[1]

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1. ORNL
2. Lawrence Berkley National laboratory (LBNL)
3. Rice University

The 2020 Smoky Mountains Computational Sciences and Engineering Conference enlists research scientists from across Oak Ridge National Laboratory (ORNL) to be data sponsors and help create data analytics challenges for eminent data sets at the laboratory. This work describes the significance of each of the seven data sets and their as- sociated challenge questions. The challenge questions for each data set were required to cover multiple difficulty levels. An international call for participation was sent to students, and researchers asking them to form teams of up to four people to apply novel data analytics techniques to these data sets.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1814245
• Resource Relation: Conference: Smoky Mountains Computational Sciences and Engineering Conference (SMC) - Virtual, Tennessee, United States of America - 8/26/2020 4:00:00 AM-8/28/2020 4:00:00 AM
• Country of Publication: United States
• Language: English