Call for Papers -closed

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

Important dates:

• Papers due: July 28, 2023
• Solution Acceptance Notifications: Aug 7, 2023
• Poster presentation: Aug 30, 2023
• DOI Acceptance notifications: September 7, 2023
• Constellation Paper DOIs published: September 15, 2023

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.

Participation:
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.

Paper submission:

• Solution papers are due July 28 at midnight anywhere. Please submit papers to EasyChair  https://easychair.org/my/conference?conf=smcdc23. You will need to create an EasyChiar account if you do not have one already.
• Papers should be between 6 and 8 pages in length and contain the following sections: a proposed solution to one of the data challenges, background and related work, approach and uniqueness, results, and contributions.
• Your code may be included as an appendix to the pdf beyond the page limit. Papers will be peer-reviewed and judged by the program committee based on how well they cover these aspects of the work.
• Selected contributions will be given a DOI (https://doi.ccs.ornl.gov/).  You do not need to have a complete solution to compete. If you have done any work at all on this challenge, we encourage you to write it up.  You may also be invited to give a lightning talk and/or poster at the SMC Conference in August.
• We do not have a required template outside the sections and length suggested above, but if you are looking for template to follow, we suggest the Springer Data challenges templates.
  • Word Template: Word+Template
  • LaTex Template LaTex+Package

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.

Program Committee:

• Dr. Andy Berres  – Oak Ridge National Laboratory
• Dr. Andre Z Clayborne – George Mason University
• Dr. Carlos Nicolas Rautenberg – George Mason University
• Dr. Fei Wang – George Mason University
• Dr. Jason M. Kinser – George Mason University
• Dr. Matthew Carbone – Brookhaven National Laboratory
• Dr. Maria Emelianenko – George Mason University
• Dr. Saheli Ghosh –  University of California
• Dr. Sajal Dash  – Oak Ridge National Laboratory
• Dr. Sao, Piyush – Oak Ridge National Laboratory