Data science is not yet open to “all”. How can we make data science more accessible to the general public (who have little / no background of machine learning)? This talk will focus on this big question while discussing two independent yet related line of works. Both works primarily fall under the umbrella of Information Retrieval and Natural Language Understanding. More specifically, the first direction is about enabling end users perform interesting semantic analysis of unstructured data without worrying about the underlying intricate details of machine learning. The second direction will be laying out a vision for Virtual Interactive Data Scientist, a natural dialog based intelligent agent that can be thought of as the future SIRI or ALEXA, which will be able to assist users for solving real-life data science problems. Finally, I will talk about some interesting future directions in line with democratization of data science
Shubhra Kanti Karmaker (“Santu”) is a Tenure-Track Assistant Professor in the department of Computer Science and Software Engineering at Auburn University, Alabama. His research interest lies at the intersection of Big Data, Artificial Intelligence and Natural Language Processing. Specifically, he is interested in the following broad question: “How can we make data science more accessible to the general people?” Before joining Auburn University, Santu was a Postdoctoral Research Associate in the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology (MIT), hosted by Dr. Kalyan Veeramachaneni. Prior to joining MIT, he completed his Ph.D. in computer science from University of Illinois Urbana Champaign (UIUC) under the supervision of Prof. ChengXiang Zhai. During his PhD, he also worked as a research intern at Microsoft Research (Summer 2017 and 2018), Yahoo Research (Summer 2016) and @WalmartLabs (Summer 2015). Santu has published numerous research papers at premier CS venues including ACM Computing Surveys, ACM SIGIR, WWW, ACM CIKM, IEEE CEC and ACL SIGNLL CoNLL. Santu has served as a program committee member in SIGIR, ACL, KDD, WSDM, CIKM, IUI, EMNLP and also served as invited reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE), Knowledge and Information Systems (KAIS) Journal and Neurocomputing journals. Before joining the Ph.D. program, Santu served as a full-time lecturer of Computer Science and Engineering at BUET during 2012-2014. For more details about the speaker, please visit: https://karmake2.github.io/.