Trends & Controversy Chairs

Philip S. Yu University of Illinois at Chicago , USA

Pau-Choo (Julia) Chung National Cheng Kung University, TAIWAN

Panel Chairs

Geoff Webb Monash University, AUSTRALIA

Bart Goethals University of Antwerp, BELGIUM

Trends & Controversies session is one of unique highlights of DSAA conference. The T&C session invites visionary speakers to outline different insights and views about today and future of data science and advanced analytics. We believe that T&C session could bring insights from different mind-sets into the healthy development of the science and society. We expect that there will be many insightful talks about forward-thinking, big thinking, original research, critical reflection and questioning on existing theories and tools, and/or innovative insights about data science, big data, advanced analytics.

This year’s theme of T&C session is “Trust”.

In big data mining and the recent hot topic of deep learning, “Trust” seems to be one big issue. How can we trust the outcome of our mining results? How can we trust the model from deep learning would provide expected outcome in the future for practical situations? How can we trust the learning when most of the time it is conducted in a black box? When there are many approaches providing good results with better architecture or better learning parameter tuning, how can we trust it is true in general, not case by case? The trust issue goes from data collection, model built-up, tuned parameters, validation, and human interactions. While the data analytic techniques attract considerable attention, academic and industrial developments, the trends in techniques and applications related to the “trust” issues will also be discussed.

This year, we merge Trends & Controversies Talks and Panel into a single bigger session to focus on the theme “Trust”.

Speakers

Prof. Dino Pedreschi University of Pisa, Italy	Prof. Dr. Katharina J. Morik TU Dortmund, Germany	Prof. Hsuan-Tien Lin National Taiwan University and Appier, Taiwan
Dr. Ying Li DataSpark Pte. Ltd., Singapore	Richard D. De Veaux Williams College, USA

More to come