*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:* http://hyadatalab.com/IID2020/
- *Register for free:* https://forms.gle/VWAJjYWAqF97X1F9A (we have 200
spots)
- 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
*Schedule*
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
Exhaust”
- *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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