Human-Centered Data Science and Social Computing Session at the Illinois Data Science Day
Human-Centered Data Science and Social Computing are emerging fields at the nexus of computing, information science, the social sciences, linguistics, and the humanities. Human-Centered Data Science and Social Computing focus on analyzing large-scale data to discover and explain the properties, patterns and theories of social behavior, and combining Data Science with the consideration of social contexts and ethical concerns.
10:50am - 12:20pm, October 10th, 2017 at the Illinois Data Science Day
- Short introduction by session organizers: Jana Diesner and Joe Yun
- Lightning student talks on cutting edge research in “Human-Centered Data Science and Social Computing”
- Ravi Kiran Raman and Lav Varshney: Budget-optimal clustering using universal crowdsourcing
- Ashley Hetrick: The suicidal robot as cyborg
- Shubhanshu Mishra: Assessing bias via correlation analysis between meta data and sentiment in benchmark twitter corpora
- Joe Yun: The Social Media Macroscope
- Faculty talks on “Human-Centered Data Science and Social Computing”
- Scott Althaus, Charles J. and Ethel S. Merriam Professor of Political Science, Professor of Communication, and Director of the Cline Center for Advanced Social Research
- Michael Twidale, Professor, School of Information Sciences
- Jana Diesner, Assistant Professor, School of Information Sciences
- Faculty and Student Panel Discussion on trends and challenges in the field
Call for Submissions: Lightning talks on cutting edge research in "Human-Centered Data Science and Social Computing" - Submission closed
We are soliciting extended abstracts for five-minute lightning talks at the “Human-Centered Data Science and Social Computing” session on October 10th, 10:50am – 12:20pm. The organizers of this session are Professor Jana Diesner from the iSchool and Joe Yun from Research IT, Technology Services. This session is part of the UIUC-wide Data Science Day (from 8:30 am – 5:00 pm, at The Alice Campbell Alumni Center Ballroom) that iDSI (Illinois Data Science Initiative) is organizing.
Topics of interest include:
- Data-intense scientific, professional and social collaborations
- Data-driven discovery of personal and social effects (e.g., cognition, behavior, emotions, culture)
- Games (e.g., educational games, collaborative games, and games with a purpose)
- Scalable qualitative research
- Computationally driven theory building and validation of social science theory
- Human-in-the-loop data provenance and data curation
- Human-centered algorithm design
- Visual analytics
- Ethics and values of data collection, use, and dissemination
- Privacy and anonymity
How to submit: Use the templates [Links to the MS Word and LaTex templates]. Submit your extended abstract of 1000 to 1200 words (references, title and meta-data not included in word count) as a PDF via EasyChair. Submitters retain their copyright. We plan to deposit the abstracts to IDEALS.
Deadline: Friday, September 29th, 2017, 11:59pm CST.
Selection process: Your single-blind submission will be reviewed by a committee. The committee will select submissions for presentation. Acceptance notification will be sent out by October 6th, 2017.
Further questions: Please email email@example.com with any questions.
We thank Joseph Troy and Chieh-Li Chin for their help and support in organizing this workshop.
If you have any questions, please contact firstname.lastname@example.org