The full-day workshop on Oct 21, 2022 will include the following three parts:
- Part 1 features plenary sessions, including the keynotes, invited talks, and panel.
- Part 2 features selected presentations from speakers whose papers are peer-reviewed and who attend in person.
- Part 3 features lightning talks for extended abstracts that are not formally peer-reviewed.
We invite submissions for novel research papers around the following topics:
- Quality control for crowdsourced data curation
- Data worker incentivization and engagement, including techniques from citizen science and collective intelligence
- Expertise finding and engagement for data curation
- Supporting crowd workers and experts in data task completion
- Supporting data curation task design for data requesters
- Collaborative data work among humans and between humans and AI
- Human studies into the transparency, reliability, and biases in manual and hybrid data curation
- Interaction techniques for manual, collaborative, and hybrid human-machine data curation, eg.., conversational interfaces
- Database and machine learning techniques for supporting large-scale and hybrid data curation
- Human intervention in data cascades and machine learning lifecycle management
- Benchmarks in machine learning, AI, and related areas
- Privacy and security issues of data quality, e.g., data poisoning attacks
Research papers must describe original work that has not been previously published, not accepted for publication elsewhere, and not simultaneously submitted or currently under review in another journal or conference.
Submissions of research papers must be in English, in PDF format, and be at most 2-4 pages (including figures, tables, proofs, appendixes, acknowledgments, and any content except references) in length, with unrestricted space for references, in the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website (use “sigconf” proceedings template for LaTeX and the Interim Template for Word).
Submissions must be anonymous and should be submitted electronically via EasyChair:
At least one author of each accepted paper for part 2 of the workshop is required to register for, and present the work at the workshop.
Best papers will be invited to submit an extended version to a special issue of the ACM Journal of Data and Information Quality
to be published in Q3 2023.