Workshop on Data and Algorithm Bias(DAB'17)

Authors are invited to submit original, full-length (8 page) and short (3 page) research papers that have not been published previously, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Short papers should describe interesting ongoing work, new discoveries and insights, or summaries of significant projects.

Manuscripts should be submitted electronically, as a PDF formatted using the ACM camera-ready templates (http://www.acm.org/publications/proceedings-template). Full papers cannot exceed 8 pages in length and short papers cannot exceed 4 pages in length. Papers should be submitted through the EasyChair DAB17 online submission system.

DAB 2017 full and short paper review will be double-blind, and submissions must be properly anonymized. Lack of anonymization may result in rejection without review. Submissions will receive an “accept” or “reject” decision based on the version that was submitted, and rejected full-length papers may be considered as short papers. There will be no poster session.

At least one author of each accepted paper must register for the conference before the final version submission deadline, and must attend the conference and present the work as scheduled in the conference program.

Accepted papers will be made available on the workshop website and should also be posted by the authors to arXiv; however, the workshop's proceedings will be considered non-archival, meaning that contributors are free to publish their work in archival journals or conferences.