You can now check-out our #FAccT2022 paper presentation on youtube! The full version is available (13 min) : As is a short teaser presentation (4 min) : @nazneenrajani @jesse_vig

RT @ieeevis: This evening, members of the core committee, VEC, and IEEE met with the TradeWinds Island Grand Hotel manager for an update on…

@JessicaHullman @northwesterncs @HsseinMzannar @jannspiess @keyonV @IDEAL_chicago Awesome! I’ll keep an eye out. Thanks.

@IanArawjo @patebel94 It’s not strange. It’s easier to take the average of a repeated measure than to properly model it (or any other kind of effect). So, the field has kind of just never moved on from what was once an acceptable approach.

@JessicaHullman Congratulations Jessica!!

RT @dan_p_simpson: This is just shouty dplyr.

@YueJiang_nj How frustrating….

@UpolEhsan @Northeastern @KhouryCollege Congratulations @UpolEhsan they’re lucky to have you!

RT @dggoldst: One person I feel who is insufficiently appreciated is Hadley Wickham. The results of his work are everywhere, every journal…

@JessicaHullman I’ve been actively exploring how LLMs are supporting data analysis, EDA specifically, for the past year and it’s quite fascinating. In many ways the age old problems of automation still exist, but now with the insanely powerful, imperfect, technology under the hood.

@IanArawjo I feel like this ad kinda nails it:

@IanArawjo I saw a lot of this too this year and did the same for research that obviously doesn’t engage with the prior HCI literature. But still, if work got in or not still seemed roll of the dice.

@jeffbigham @EstelleSmithPhD Aside from the use of one specific technology (LLMs) how is the behavior substantively different than other CHI work that uses ML, Automation, or just existing toolkits and frameworks? Application of tech X to some problem Y is a fairly common paper paradigm at CHI.

@roydanroy Cause there is no more time to waffle and clarity emerges from the debris.

👇

Although honest and heartfelt it’s also got Manhattan Project v2 vibes.

@JessicaHullman In the same way the ML/AI people focus on techniques or HCI folks focus on studies/prototypes/techniques. That isn’t to say there is no focus on data, but so much less relative to it’s influence