Research papers, theses and books | Predictive policing / Big data analysis

Braga, Papachristos, Hureau (2012): The Effects of Hot Spots Policing on Crime
Brennan et al (2008). Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System
Byrne and Marx (2011). Technological innovations in crime prevention and policing. A review of the research on implementation and impact.
Cook et al (2011): Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic
Danah and Crawford (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon
Dressel and Farid (2018). The accuracy, fairness, and limits of predicting recidivism
Dwork & Mulligan (2013). It's Not Privacy, and It's Not Fair
Eckhouse et al (2018). Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment
Ferguson (2011). Crime Mapping and the Fourth Amendment: Redrawing ‘High Crime Areas’
Ferguson (2012). Predictive Policing and Reasonable Suspicion
Ferguson (2014). Big Data and Predictive Reasonable Suspicion
Ferguson et al (2008). The 'High-Crime Area' Question: Requiring Verifiable and Quantifiable Evidence for Fourth Amendment Reasonable Suspicion Analysis
Gerber (2014). Predicting crime using Twitter and kernel density estimation
Green and Chen (2019). Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments
Guzik (2009). Discrimination by Design
Hannah-Moffat (2018). Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates
Harcourt (2007). Against Prediction: Profiling, Policing, and Punishing in an Actuarial Age (book)
Hunt et al (2014). Evaluation of the Shreveport Predictive Policing Experiment
Lane et al (eds.) (2014) Privacy, Big Data, and the Public Good: Frameworks for Engagement (book)
Manning (2008). The Technology of Policing (book review)