The Mid-South DATA Conference 2025
Mid-South DATA - A Data Science Conference
March 28, 2025
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Registration
Registration
Registration is required and includes access to all events and sessions, including exceptional keynote speakers. Light refreshments are also provided during the events.
To register for the Mid-South Data Science 2025 conference please follow this link.
NOTE: Registration includes access to all events.
Regular Registration DEADLINE: March 15
Non-Academic: $85 (By March 22) / $105 (Late/On-site)
Academic: $45 (By March 22 ) / $65 (Late/On-site)
Student: $45 (By March 22; first 40 students get FREE registration) / $65 (Late/On-site)
Important Dates
Important Dates
Paper Submission Deadline: February 1, 2025
Poster Submission Deadline: February 1, 2025
Acceptance Notification: February 20, 2025
Regular Registration Deadline: March 15, 2025
*All those attending as Students MUST Show their student ID at registration on the first day of the conference.
**Regular registration is open until March 15. Late/On-site registration runs from March 15-March 28.
***Full refunds will be issued up to the regular registration deadline, March 15, 2025. No refunds will be given thereafter.
Submission Guidelines
Submission Guidelines
Paper submissions should be an extended summary of the paper (2 pages max, including references). Papers will be presented in individual sessions or panels. We also invite proposals for panels/thematic sessions/special tracks (limited to 2 pages, must include theme description and participant details). Poster submissions should be in the form of an abstract (up to 2 pages, including references). All submissions should be submitted via CMT.
The recommended formatting for submissions is the ACM conference formatting guidelines and templates: https://www.acm.org/publications/proceedings-template
Topics
Topics
We welcome submissions that explore various topics relevant to Data Science, broadly construed:
Data Analysis Methods
Data Storage Solutions
Databases and Warehousing
Data Engineering
Data Privacy, Security, and Provenance
Data Visualization
Data Quality
Big Data
Machine Learning
and other relevant topics.
Data Mining
Economics and Business Analytics
Data Science in Education
Machine Learning in Economics and Finance
Forecasting and Simulation
Health and Epidemiology
Bioinformatics
Data Science in Government
Ethical Aspects of Data Science
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