After multiple years as a workshop, there’s a new conference emerging on Fairness, Accountability, and Transparency. And there’s a social science/law/policy track (which I’m co-chairing). Like more CS-oriented conferences, this is a paper-oriented conference, but you have the option of making the paper archival or non-archival (the latter being key for submitting your paper to journals). Let me know if you have any questions! danah (danah@datasociety.net <mailto:danah@datasociety.net>) ----------------------------- Announcing a new Conference on Fairness, Accountability, and Transparency (FAT*) fatconference.org <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. To ensure that all submissions to FAT* are reviewed by a knowledgable and appropriate set of reviewers, the conference is divided into tracks: 1. Theory and Security 2. Statistics, Machine Learning, Data Mining, NLP, and Computer Vision 3. Programming Languages, Databases, and other Systems (Recommender, Information Retrieval, etc.) 4. Visualization, Human Computer Interaction, and User Studies 5. Measurement and Algorithm Audits 6. Law, Policy, and Social Science FAT* welcomes full paper submissions that extend previously published short papers (e.g. from workshops).