SDSC 2026 -mid atlantic
May 18-19, 2026, Virginia Beach, Virginia, USA
ABOUT SDSC 2026-Mid atlantic
The Southwest Data Science Conference (SDSC) is a premier event series dedicated to the advancement of data science, artificial intelligence, and analytics. Renowned for connecting the brightest minds in the field, the conference brings together academic researchers, industry leaders, and data practitioners to explore cutting-edge methodologies, share original research, and foster interdisciplinary collaboration.
For the first time, the series is expanding its horizon with the SDSC 2026 Mid-Atlantic, hosted by Old Dominion University (ODU) in the vibrant coastal city of Virginia Beach, Virginia,
Moving beyond its traditional roots, this special Mid-Atlantic edition aims to catalyze innovation along the East Coast.
SDSC 2026 will feature a diverse range of tracks including AI and Applied Data Science, Biomedical and Health Informatics, Cyber Data Science, and Business AI as well as their interactions. With ODU's leadership, this year's conference promises to be a hub for discussing the future of data-driven decision-making, offering attendees a unique blend of technical deep dives and networking opportunities against the backdrop of the Atlantic Ocean.
Join us in Virginia Beach for SDSC 2026 Mid-Atlantic, where data meets discovery!
About SDSC 2026-Mid Atlantic
Business AI and Social Data Science Track
AI, Data science, and Data engineering track
AI, Data science, and Data engineering track
- Business analytics
- AWS learning
- Decision analytics
- Fintech
- Healthcare analytics
- Innovation & entrepreneurial management
- Social network mining
- Sports analytics
- Supply chain management
- Predictive analytics
- Marketing intelligence
- Supply chain Intelligence
- Digital assests
- AI in organizational behavior
AI, Data science, and Data engineering track
AI, Data science, and Data engineering track
AI, Data science, and Data engineering track
- Artificial intelligence
- Big data
- Large language Models (LLMs)
- Machine learning
- Deep learning
- Reinforce learning
- Blockchain
- Cyber analytics
- Data visualization
- Evolutionary computing
- Natural language process (NLP)
- Cloud computing
- Statistical learning
- AI in engineering
- AI and data science education
- AI governance & policy
Biomedical and health AI & data science track
AI, Data science, and Data engineering track
Biomedical and health AI & data science track
- AI in medicine
- Biomedical informatics
- Biological database
- Biomedical decision-making
- Clinical informatics
- AI in health
- Epidemiology data analytics
- Epigenetics
- Health informatics
- SNP
- Next generation sequencing
- Proteomics
- scRNA-seq
- Sequencing
- Spatial omics
Publication
Paper submissions should be limited to a maximum of 15 pages in LNCS format. Accepted papers are planned to publish in Springer proceedings. Besides the proceeding publications, the selected papers will be further recommended to publish in the following SCI-index journals: BMC Bioinformatics, industrial management & data systems (IMDS), Journal of Electronic Commerce Research, Computational Biology and Chemistry (CBAC), Information Systems, and other leading journals in the fields besides proceeding publication.
Submission:TBD
The SDSC2025 proceedings:
The SDSC 2025 Springer CCIS volume (EI-indexed): New Frontiers in Data Science
https://link.springer.com/book/10.1007/978-3-031-99879-9
SDSC 2026-MID ALTLANTIC Call for Sponsorship
Call for sponsorship
As a leading conference in data science, medicine, bioinformatics and related computing areas, SDSC2026 Mid-Altlantic calls three types of sponsorship opportunities:
Gold: $5000
Silver: $3000
Bronze: $2000
The sponsor of SDSC2026 Mid-Altlantic any level will be listed on SDSC2026 homepage, program guide, and conference proceedings and will be acknowledged during remarks
Current sponsors:
- Old Dominion University
- Baylor University
- University of Tennessee, Knoxville
SDSC2026 Mid-Atlantic Steering Committee
- Chair: Michael Pokojovy, Old Dominion University , USA
- Co-Chair: Frank Liu, Old Dominion University, USA
- General Chair: Henry Han, Baylor University, USA
- Qiang Wu, University of Tennessee, Knoxville , USA