ACM SIGCHI General Interest Announcements (Mailing List)


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Mon, 13 Apr 2020 18:48:55 +0200
Robert West <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Robert West <[log in to unmask]>
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*The Workshop on Innovative Ideas in Data Science (IID),*

organized in conjunction with* The Web Conference, *will take place on *Monday,
20 April 2020.*

   - *Online*-only, *open *to all, and *free *to attend
   - *Website:*
   - *Register for free:* (we have 200
   - Live stream on* Zoom* (link will be shared with
   registered participants)
   - *Exciting speakers:*
      - Chris Ré (Stanford)
      - Ben Zhao (Chicago)
      - Elad Yom-Tov (Microsoft Research)
      - Abigail Jacobs (Michigan)
      - Jake Hofman (Microsoft Research)
      - Plus a virtual poster session with 7 posters
   - Full *schedule* below

IID aims to provide a venue for researchers and practitioners from both
academia and industry to discuss* innovative, thought-provoking, and
visionary ideas in data science. *The emphasis is on potentially disruptive
research directions that challenge current research agendas and suggest
future ones.

Organizing team:
Ashton Anderson, University of Toronto
Dafna Shahaf, Hebrew University of Jerusalem
Jie Tang, Tsinghua University
Robert West, EPFL


Times are in *time** zone GMT+00:00* on Monday, April 20, 2020. Start time
in other common time zones: Pacific time: 7:00am; Eastern time: 10:00am;
Central European time: 16:00; Taiwan time: 22:00.

   - *14:00: Welcome notes*
   - *14:05: Featured paper 1: *Gilie Gefen, Omer Ben-Porat, Moshe
   Tennenholtz and Elad Yom-Tov: “Privacy, Altruism, and Experience:
   Estimating the Perceived Value of Internet Data for medical uses”
   - *14:15: Featured paper 2: *Abigail Jacobs and Michaelanne Dye:
   “Internet-human infrastructures: Lessons from Havana's StreetNet”
   - *14:25: Featured paper 3:* Jake Hofman, Dan Goldstein, Siddhartha Sen
   and Forough Poursabzi-Sangdeh: Expanding the scope of reproducibility
   research through data analysis replications”
   - *14:35: “Creactivity”* (short creativity activity)
   - *14:55: Keynote 1:* Ben Y. Zhao: “User-centric Privacy in an
   ML-Ubiquitous Society”
   - *15:25: Keynote 2: *Chris Ré: “Observational Supervision & Analyst
   - *15:55: Fireside chat* with Ben Y. Zhao and Chris Ré
   - 16:20: Poster spotlight 1: Ang Li, Suming J. Chen, Jingzheng Qin and
   Zhen Qin: “Training Machine Learning Models With Causal Logic”
   - *16:23: Poster spotlight 2:* Wang-Cheng Kang, Derek Zhiyuan Cheng,
   Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong and Ed H. Chi: “Learning
   Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in
   Recommender Systems”
   - *16:26: Poster spotlight 3: *Christopher G. Harris: “Methods to
   Evaluate Temporal Cognitive Biases in Machine Learning Prediction Models”
   - *16:29: Poster spotlight 4:* Tuğrulcan Elmas, Kristina Hardi, Rebekah
   Overdorf and Karl Aberer: “Can Celebrities Burst Your Bubble?”
   - *16:32: Conclusion* of plenary session, transition to poster sessions
   - *16:37: Poster session* (in breakout rooms, see below)

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