May 2022 - Thinking Clearly About TAR by Adopting a Scientific Mindset

SYNOPSIS: 

TAR is a morass of buzzwords and claims. New techniques seem to appear almost constantly, promising vast improvements over the state of the art. In this discussion, we lay out all the components of TAR such that claims may be understood in terms of how they fit into the entire TAR ecosystem. But more importantly, we expound on the scientific manner in which techniques may be assessed as to their overall value. Even if one does not do experiments oneself, knowing how to ask the right questions allows one to make better decisions about how, when, and what technology is adopted and deployed.

Jeremy Pickens - Principal Data Scientist

Jeremy Pickens, PhD is one of the world’s leading information retrieval scientists. Dr. Pickens has ten patents and patents pending in the field of search and information retrieval. As Principal Data Scientist at OpenText, Dr. Pickens has spearheaded the development of Insight Predict. His ongoing research and development focuses on methods for continuous learning, and the variety of real world technology assisted review workflows that are only possible with this approach. Dr. Pickens earned his doctoral degree at the University of Massachusetts, Amherst, Center for Intelligent Information Retrieval. He conducted his post-doctoral work at King’s College, London. Before joining Catalyst Repository Systems and later OpenText, he spent five years as a research scientist at FX Palo Alto Lab, Inc. In addition to his OpenText responsibilities, he continues to organize research workshops and speak at scientific conferences around the world.

LOCATION:

ONLINE! Meeting link will be sent to all registered attendees prior to the meeting start time

DATE & TIME:
05/19/2022 @ 12pm

ONLINE PRESENCE SPONSORED BY: OpenText

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