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The Workshop on Innovative Ideas in Data Science (IID)

April 20, 2020 @ 10:00 am - 1:00 pm


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


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)
  • 17:00: Closing


April 20, 2020
10:00 am - 1:00 pm
Event Category: