[Theory] REMINDER: [Talks at TTIC] 1/29 TTIC Colloquium: Jessica Hullman, Northwestern University

[Brandie Jones]

*When:*        Monday, January 29th at *10am CT*


*Where:       *Talk will be given *live, in-person* at

                       TTIC, 6045 S. Kenwood Avenue

                       5th Floor, Room 530


*Virtually:*  via Panopto (livestream
<https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=926fbdcb-a6e5-407d-bc67-b0ae010ae5e6>
)


*Who: *         Jessica Hullman, Northwestern University

*Title:*   Hypothesizing about effects in experiment design and
interpretation
*Abstract:  *Learning from data, such as the results of controlled
experiments, requires one to reason about the likelihood of many competing
explanations. However, people are boundedly rational agents who often
engage in pattern-finding at the expense of recognizing uncertainty or
considering potential sources of heterogeneity and variation in the effects
they seek to discover. I will discuss graphical and theoretical tools we
have developed to support analysts in hypothesizing and interpreting
experimental effects.

First, motivated by the heavy reliance on average treatment effects in
data-driven science, I will present Causal Quartets, sets of plots that
depict possible patterns of variation compatible with an average treatment
effect at the level of individual units.  Second, I will discuss how a
rational agent framework can be used to better design and interpret results
of controlled human decision-making experiments, such as are increasingly
used to understand the impacts of data displays and AI assistance.

*Bio: *Jessica Hullman is Ginni Rometty Associate Professor of Computer
Science at Northwestern University. Her research addresses challenges and
limitations that arise when people draw inductive inferences from data. Her
work has contributed multiple visualization and interaction techniques for
improving reasoning under uncertainty from data-driven interfaces, as well
as theoretical frameworks for understanding the role of visualization in
statistical workflow. Jessica's work has been awarded best paper awards at
top visualization and HCI venues, a Microsoft Faculty award, and NSF
CAREER, Medium, and Small awards as PI, among others.

*Host: Emily Diana  <emilydiana at ttic.edu>*

-- 
*Brandie Jones *
*Executive **Administrative Assistant*
Toyota Technological Institute
6045 S. Kenwood Avenue
Chicago, IL  60637
www.ttic.edu
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