Dear Colleagues/Friends,

We are pleased to deliver the following event through our (Virtual & Free) Seminar Series: Frontiers of Big Data, AI and Analytics.

Discussion theme: An Expansive View of Experimentation

Speaker: Dr. Sean Taylor (Rideshare Labs at Lyft)

Abstract of the talk: Testing product and algorithmic changes via A/B tests is common practice, but more complex experiments are still relatively rare. In this talk, Sean will lay out a variety of ways in which we leverage randomization to estimate more relevant, complex, and useful quantities of interest. Generalizing from the special case of binary treatments to multiple continuous treatments, instruments, and contextual policies are natural extensions to an already proven architecture for generating knowledge and decisions. Sean will discuss how randomization provides a natural complement to machine learning models powering policy decisions.

Time: 19 January 2022 10:00AM - 11:30AM (Australian Eastern Daylight Time (GMT+11)).

Registration:

Please see the link (early registration is encouraged to secure your seat)

Link: https://www.eventbrite.com.au/e/an-expansive-view-of-experimentation-tickets-221022392927

Logistics: Zoom link will be provided 1 day before the event.

About this event and seminars: Attached please find the flyer

We look forward to having you at our event.

Best regards,

Tomohiro, Robert and Valentin 

Co-organizers

Tomohiro Ando (Melbourne Business School, University of Melbourne)

Robert Kohn (UNSW Business School, University of New South Wales)

Valentin Zelenyuk (School of Economics, University of Queensland)