The organizing committee of the 2020 Southern Data Science Conference is pleased to invite you to submit a proposal (2-page structured extended abstract, see submission guidelines) to present a poster in the Research Track of the Southern Data Science Conference 2020. The conference is scheduled for April 16 and 17th 2020.

Our Philosophy is to bring together students and industry practitioners to discuss current challenges in data science, network and develop working relationships, and present solutions to real-world questions. Undergraduate and graduate students working in data science, including but not limited to areas in machine learning, artificial intelligence, computer vision, and natural language processing, are highly encouraged to submit an abstract. Students at any stage of their projects are welcome, from the discussion of initial results to retrospective lessons-learned to fully-formed end-to-end pipelines. The Research Track is an ideal venue for presenting your data science research, soliciting valuable feedback from industry experts on works-in-progress, and sharing lessons learned with the broader data science community. Recent already published work can be presented. There is no double submission policy.

Poster presenters will be required to attend the Poster Session at a specified time to discuss the work with conference attendees. The poster session will allow the presenter to interact with interested parties in a casual setting to share information and ideas.

 

The topics for the Research Track encompass all aspects of data science, including but not limited to:

 

Data Extraction

• Feature extraction and preprocessing

• Text mining

• Pattern recognition

 

Machine learning

• Supervised and unsupervised learning

• Deep learning and neural networks

• Model evaluation and interpretation

 

Privacy/Security

• Cyberinfrastructure and secure computing

• Privacy-preserving analytics

• Security/Privacy challenges and potential solutions

 

Applications

• Case study of the application of a technique to solve a problem

• Lessons learned for a domain-specific application

 

Selected poster presenters will receive:

 

• Professional visibility

• Access to conference attendees which includes both data science industry practitioners and academics

• FREE conference admission for the first (student) author.

 

Submission guidelines:

 

Use the template . Abstracts may be rejected unless the template is respected. To submit an abstract, use EasyChair platform: https://easychair.org/conferences/?conf=sdsc20

 

If there are questions or concerns about the submission or poster presentations, please contact Prof. Shannon Quinn: squinn@cs.uga.edu or Prof. Lea Shanley: LShanley@wisc.edu.