SMCDC2023: Smoky Mountains Computational Sciences and Engineering Conference Data Challenge
Conference Dates: August 29-31, 2023
General chair: Shankar, Mallikarjun (Arjun), ORNL
Data Challenge chair: Hong Liu and Suzanne Parete-Koon , ORNL
This call is for papers detailing solutions to data analytics challenges based on eminent data sets at ORNL and beyond. These data sets come from scientific simulations and instruments in physical and chemical sciences, electron microscopy, bioinformatics, neutron sources, urban development, and other areas. The challenge questions for each data set will cover multiple difficulty levels. The first question in each challenge should be suitable for a novice, with each subsequent question increasing in difficulty and the series of questions ending with an advanced/expert-level challenge question. This data challenge is part of the Smoky Mountains Computational Sciences and Engineering Conference (SMC2023). The current set of data challenges is available here: http://SMC-DATACHALLENGE.ORNL.GOV.
Scientists and researchers are encouraged to compete in these analytics challenges whether they are at the beginning stages of incorporating data analytics into their workflow or data analytics experts interested in applying novel data analytics techniques to data sets of national importance. Students and professionals will compete in separate categories.
To compete in SMCDC2023, register your team and select a challenge to solve. Participants may work in teams of up to 6 people and will be required to submit a paper describing their solution.
Selected teams will be invited to the conference, give a 3-minute lightning talk and present a poster describing their solution at SMC2023. Teams must have one member or a proxy available to present a lightning talk/poster at the conference. Further details and logistics will be provided at the time of selection.