Call for papers is open to join DAB'17, a workshop on Data and Algorithm Bias at CIKM conference in Singapore

Today citizens are becoming more and more subject to socio-economic and political decisions made using statistical models trained on cross-referenced data, originating from governments, industry and people themselves (through social media). However, even the cleanest of datasets may contain bias: starting from gender, age and/or ethnicity and getting to full-blown discriminatory profiling. It is therefore imperative to study scientifically the causes and effects of bias in the era of Big Data, in order to propose palliative measures.

Held at the CIKM – International Conference on Information and Knowledge Management in Singapore (6-10 November 2017), DAB'17 is a workshop on Data and Algorithm Bias that will gather researchers working on algorithmic and data bias in areas like health care, finance, education, coming both from academia and industry. Invited speaker is ISI Research Leader Francesco Bonchi, and it's now open a call for original papers that can be submitted through the EasyChair system. Submission deadline is 2 July 2017.

DAB'17 will be held Monday 6 November 2017 and it is organized by ISI Foundation Scientific Director Ciro Cattuto, ISI Research Leader Daniela Paolotti, Ricardo Baeza-Yates (Universitat Pompeu Fabra, Barcelona, Spain and member of the ISI Scientific Advisory Board), Loreto Bravo and Leo Ferres (Universidad del Dessarrollo & Telefónica Research, Chile), and Jeanna Matthews (Clarkson University, USA).

DAB'17 – Workshop on Data and Algorithm Bias, CIKM 2017, Singapore, 6 November 2017, website: