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<i class="">Department of Computer Science Seminar</i>
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<div class=""><span style="font-style: normal;" class=""><b class="">Blase Ur</b></span></div>
<div class=""><b class="">Neubauer Family Assistant Professor, Computer Science</b></div>
<div class=""><b class="">University of Chicago</b></div>
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<div class=""><b class="">Friday, March 24th</b></div>
<div class=""><b class="">10:30am-11:30am</b></div>
<div class=""><b class="">JCL 390</b></div>
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<div class=""><b class="">Zoom:</b></div>
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<div class=""><a href="https://uchicagogroup.zoom.us/j/92707103188?pwd=S0JSdVI0NTYzU0xNU0JiWHFMc0dIZz09" class="">https://uchicagogroup.zoom.us/j/92707103188?pwd=S0JSdVI0NTYzU0xNU0JiWHFMc0dIZz09</a></div>
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<div class="">Meeting ID: 927 0710 3188</div>
<div class="">Passcode: 723668</div>
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<div class=""><b class="">Title: Supporting Users’ Interactions with Complex Computer Systems </b></div>
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<div class=""><b class="">Abstract:</b></div>
<div class=""><span style="background-color: rgb(255, 255, 255);" class="">Complex, data-driven computer systems are a core part of modern life. Users often must make nuanced decisions when interacting with complicated systems and algorithms, yet they are rarely
equipped to do so. This talk will discuss two streams of work that improve such interactions by co-designing better underlying models and user interfaces. First, I will discuss our work using formal models of an Internet of Things system to improve trigger-action
programming (TAP), a popular end-user-programming method that lets users express how devices and services should interact. I will focus on how our TAPdiff system leverages our formal model to highlight differences in properties and outcomes across related
variants of TAP rules. Second, I will present a series of projects that improve consumers' understanding of ad-related online tracking and its consequences. I will highlight how having consumers request copies of their own Twitter data under recent privacy
laws enabled us to illuminate the current ecosystem of ad targeting and improve privacy transparency mechanisms. I will conclude with our ongoing work aiming to make data-access rights more useful and informative for consumers.</span></div>
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<div class=""><b class="">Bio:</b></div>
<div class=""><span style="background-color: rgb(255, 255, 255);" class="">Blase Ur is an Assistant Professor of Computer Science at the University of Chicago, where he researches security, privacy, human-computer interaction, and ethical AI. He is part of
the UChicago SUPERgroup, which uses data-driven methods to help users make better security and privacy decisions, as well as to improve the usability of complex computer systems. He has received an NSF CAREER Award (2021), three best paper awards, five honorable
mention paper awards, and UChicago's Quantrell Award for undergraduate teaching (2021). He holds degrees from Carnegie Mellon University (PhD and MS) and Harvard University (AB).</span></div>
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<div class=""><span style="background-color: rgb(255, 255, 255);" class="">---<br class="">
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<div>Holly Santos<br class="">
Executive Assistant to Michael J. Franklin, Chairman<br class="">
Department of Computer Science<br class="">
The University of Chicago<br class="">
5730 S Ellis Ave-217 Chicago, IL 60637<br class="">
P: 773-834-8977<br class="">
<a href="mailto:hsantos@uchicago.edu" class="">hsantos@uchicago.edu</a></div>
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