SIGKDD Calls for Proposals

Announcing a new Conference on Fairness, Accountability, and Transparency (FAT*): http://fatconference.org

• Paper registration deadline: Sept 29th
• Paper submission deadline: Oct 6th
• Conference: Feb 23 and 24th at NYU, NYC

FAT* is an international and interdisciplinary peer-reviewed conference that seeks to publish and present work examining the fairness, accountability, and transparency of algorithmic systems. The FAT* conference solicits work from a wide variety of disciplines, including computer science, statistics, the humanities, and law. It intends to bring together the community that has grown through a number of workshops at other conferences, including FATML at NIPS, ICML, and KDD; FATREC at RecSys; Ethics in NLP at EACL, Machine Learning and the Law at NIPS; the Workshop on Data and Algorithmic Bias at CIKM; and the Workshop on Discrimination and Privacy-Aware Data Mining at ICDM.

To ensure that all submissions to FAT* are reviewed by a knowledgable and appropriate set of reviewers, the conference is divided into tracks with separate track chairs:

1. Theory and Security, chaired by Anupam Datta (Carnegie Mellon University) and Aaron Roth (University of Pennsylvania)
2. Statistics, Machine Learning, Data Mining, NLP, and Computer Vision, chaired by Alexandra Chouldechova (Carnegie Mellon University), Been Kim (Google), Dirk Hovy (University of Copenhagen), and Michael Kearns (University of Pennsylvania)
3. Programming Languages, Databases, and other Systems (Recommender, Information Retrieval, etc.), chaired by Aws Albarghouthi (University of Wisconsin - Madison), Michael Ekstrand (Boise State University), and Gerome Miklau (University of Massachusetts - Amherst)
4. Visualization, Human Computer Interaction, and User Studies, chaired by Carlos Scheidegger (University of Arizona) and Karrie Karahalios (UIUC)
5. Measurement and Algorithm Audits, chaired by Christian Sandvig (University of Michigan) and Arvind Narayanan (Princeton University)
6. Law, Policy, and Social Science, chaired by danah boyd (Microsoft Research and the Data & Society Research Institute) and Ryan Calo (University of Washington)

Full details in the Call for Papers: https://fatconference.org/2018/cfp.html

FAT* welcomes full paper submissions that extend previously published short papers (e.g. from workshops).