Data Science for Inclusivity Workshop
Diversity and Inclusion Track @ CODS-COMAD 2024
CALL FOR EXTENDED ABSTRACTS As data-driven decision making influences almost all spheres of our lives, it is imperative to focus on relevant data science problems and methods that address diversity and inclusion issues. It is a participatory workshop where the intent is to increase awareness about the role of data science to ensure a better future.
We invite extended-abstract submissions of up to 4 pages, including references, on any aspect of the use of data science and data-driven research to understand or address diversity and inclusion issues in any social or institutional context. Some indicative, but not exhaustive, topics are mentioned below:
- Methods for detecting and/or preventing hate speech directed towards underprivileged groups on social media platforms
- Tools or techniques for increasing the linguistic accessibility of websites, apps, or other IT services
- Use of behavioral or neural data to study cognitive diversity or neurodiversity across different groups of people
- Methods for detecting bias in data and/or bias mitigation policies
- Data-driven policy planning to ensure greater inclusion
Selected papers will be invited for a lightning and poster presentation as part of a pre-conference workshop. The session will also host talks by a few eminent senior researchers of India, working in the area. The session will give an opportunity to the participants to interact with the senior researchers and get feedback / guidance / new ideas.
SUBMISSION INSTRUCTIONS
TRAVEL GRANTS
Conference is offering limited scholarships to students and faculty members, in order to enable greater participation in the conference of attendees from traditionally underrepresented segments. For details visit: https://cods-comad.in/student-travel-grants.phpIMPORTANT DATES
All deadlines are Anywhere on Earth (AoE, UTC-1200)- September 30, 2023: Submission of abstract
- October 30, 2023: Notification of selection
DIVERSITY AND INCLUSION TRACK CHAIRS
Lipika Dey, TCS Research
Sumeet Agarwal, IIT Delhi