Dear colleagues, Just before the holidays, I wanted to share our call for submissions to the 4S open panel 153 “STS And Computational Knowledge Production In Policing And Criminal Justice” Recent innovations in technologies and processes of data analysis and computational science – mainly in reference to terms (and myths) like big data, algorithmic decision making and artificial intelligence – have transformed many processes of knowledge production in the fields of policing and criminal justice. With predictive policing as one of its earliest and most prominent representatives (Perry et al. 2013; Bennett Moses & Chan, 2018), the algorithmic mediated production of (prospective) knowledge has now also affected the criminal justice system at every level. Different predictive models include generating risky spaces – PredPol (Mohler et al., 2015); risky individuals – Chicago’s ‘strategic subject list’ (Saunders/Hunt/Hollywood, 2016) and US’ Computer-Assisted Passenger Pre-screening System; or calculating the recidivism risk of convicted offenders in order to inform the sentence decision (predictive prosecution) (Ferguson, 2016). This development has gone hand-in-hand with a rapid technological expansion from the frontline to the back office. Thus, regardless of whether suspects or spaces are objects of (predictive) knowledge production, or if recidivism risk scores for convicted offenders are generated, in the end, policing and justice are increasingly characterized by socio-technical interwovenness with digital data production and algorithmic technologies. This calls for a thorough STS analysis to get at the innovations, interruptions, regenerations, successes and failures herein involved in the co-construction of policing practices and technological development. Correspondingly, this panel seeks to ask how STS can provide analytical tools for grasping the entanglement of technology and society involved in the development and implementation of computational knowledge production in policing and criminal justice. Deadline: February 1, 2019 Submissions: https://www.4s2019.org/accepted-open-panels/ We are looking forward to your proposals! Thomas Linder, Queen’s University, Kingston, Canada Nikolaus Pöchhacker, MCTS, Technical University of Munich Simon Egbert, University of Hamburg Fieke Jansen, Cardiff University Jens Hälterlein, University of Freiburg