Fransesco BonchiResearch Leader
ISI Foundation, Italy
More and more, we as members of society are becoming subject to socio-economic and political decisions made using statistical models trained on enormous amounts of cross-referenced data. This data may originate from many different sources, including governments (e.g. census data), industry (e.g. telephone or credit card transactions) and even ourselves (e.g. our use of online social networks).
However, even the cleanest of datasets, those generated with the utmost care, using careful phrasing of survey questions and careful sampling, may contain bias. Data sets often reflect historical bias of gender, age or ethnicity that can be extremely subtle and deep-rooted. In addition, these "small”, subtle biases can be further amplified algorithmically into full-blown discriminatory profiling of certain groups. It is therefore imperative to study scientifically the causes and effects of bias in the era of big data and propose palliative measures.
The aim of this workshop is to gather researchers in industry and academia working on algorithmic and data bias in all areas of society: health care, finance, education and other that can help To design discrimination-free algorithms and fairness-aware data mining.
ISI Foundation, Italy
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.
Registration details will be available at the main CIKM conference site.
Paper Submissions Deadline: 2 July 2017, 11:59:59PM Anywhere on Earth (AoE)
Paper Submissions website: EasyChair DAB17
Notification to Authors: 13 August 2017
Camera-Ready Papers Deadline: 20 August 2017
For further questions please email us at firstname.lastname@example.org.
Ricardo Baeza-Yates, NTENT, USA; U Pompeu Fabra, Spain & University of Chile, Email
Loreto Bravo, Data Science Institute, Universidad del Desarrollo, and Telefónica R&D, Chile, Email
Ciro Cattuto, ISI Foundation Torino, Italy, Email
Leo Ferres, Data Science Institute, Universidad del Desarrollo, and Telefónica R&D, Chile, Email
Jeanna Matthews, Clarkson University, USA, Email
Daniela Paolotti, ISI Foundation Torino, Italy, Email