The Innovative Ideas in Data Science (IID) workshop 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.
Many workshops associated with The Web Conference have become more like mini-conferences themselves. Our vision for IID is complementary: we will seek early-stage work on blue-sky, high-risk/high-reward research, where the authors can benefit from community feedback.
IID will be a half-day workshop on Monday, Apr 20, at The Web Conference 2020. As the conference has gone online, and to maximize universal benefit, we decided to start the IID workshop at 14:00 GMT+00:00 (i.e., 7am Pacific time, 10am Eastern time, 4pm Central European time, 10pm Taiwan time; all on April 20). With these times, people across the world will be able to attend.
We open the workshop to anyone who would like to attend, for free. This way, the pandemic has at least one positive side affect, by spreading knowledge in addition to viruses. Zoom links will appear here soon.
We are proud to have Amazon as the Headline supporter of IID 2020!
In total, 7 papers were accepted at IID 2020, for either oral presentation or poster. Proceedings coming soon.
|Times are in the GMT+00:00 time zone|
Featured Papers(time allocation: 10 each, including questions)
|14:35||Short creativity activity|
Observational Supervision & Analyst Exhaust
As machine learning systems become more embedded in our daily lives, there is an opportunity for these systems to learn passively from our interactions with these systems. This talk discusses some rough ideas that we have been exploring including supervision obtained by instrumenting analyst software, eye trackers with radiologists and other subject matter experts, and a foray into consumer devices. As an example, gaze data is rich: it not only reveals salient portions of an image or video, but the psychology literature suggests that gaze can also convey more subtle cues, such as confidence. Moreover, trained analysts often have routine patterns, and deviation from those patterns is significant. We are exploring is the circumstances in which one can practically and provably learn from this style of supervision with minimal or no conventional supervision. This talk will be short on results and long on other people's ideas that I've found interesting.
|15:55||Fireside chat with Ben Y. Zhao and Chris Ré|
|16:20||Poster spotlight talks (3 min each)|
|16:35||Virtual Poster Session (zoom links coming soon)|
|Submission||Friday, 24 January 2020, 23:59 Anywhere-on-Earth Time|
|Notification||Monday, 10 February, 2020|
|Camera-ready||Monday, 17 February, 2020|
|Workshop||Monday, April 20, 2020|
If authors do not want paper to appear in proceedings:
|Submission||Friday, 21 February 2020, 23:59 Anywhere-on-Earth Time|
|Notification||Friday, 6 March, 2020|
|Workshop||Monday, April 20, 2020|
All papers will be peer reviewed, single-blinded. We welcome novel research papers, work-in-progress papers, and visionary papers.
Submissions must be in PDF, written in English, no more than 4 pages long (not including references). Shorter papers are welcome. Please format your paper using the ACM SIG conference proceedings template (use sample-sigconf.pdf as the template) available here.
For accepted papers, at least one author must attend the workshop to present the work.
For paper submission, proceed to the IID 2020 submission website.