My idea for advanced quantitative crime analysis book: Handbook of Advanced Crime Analysis - chapters/sections Space and Time Forecasting - Repeat and Near-Repeat [Haberman, other Temple guys, Piza?] - Self-exciting point process [?Pred Pol guys? Mike Porter? Loeffler?] - Leading Indicators, control charts [Wilpen Gorr] - Risk Terrain [Caplan, other Rutgers folks] - Aoristic analysis [Ashby] - simple temporal analysis [?Me?] - Trajectories of crime over time [Andresen] - crime concentration, ECDF curves [Steenbeek, ?????] - on the street network prediction [UCL folks?, Simon Fraser folks?] Detective Utility - Geographic Offender Profiling [Rossmo] - Crime Linkage [Kringen, Porter] - Discrete Choice to predict next crime location [Bernasco] - Kris Henning, assigning Domestic cases [Henning] ????Other Junk????? - Gang Networks & Focussed Deterrence (or gun shot risk) [Papachristos, Ken Novak] - Predicting Violent, chronic offenders [?Me?] - stop hit rates/interdiction [???Tillyer??] - EDA for Problem oriented policing [?Eck?, Carter, Sedelmaier] - Other Hot spot mapping techniques, STAC, KDE [Block, Levine] - SatScan [?Pizaro?] - Ripley's K [Wooditch?, Groff?] - Simulation [Groff, Birks] Evaluation - quasi-experimental - propensity score matching [Braga?, Piza] - interupted time series [Dae-Young] - Ratcliffe causal inference package example - panel data modelling [?Worrall?] - differences in differences [?Braga, ?Me] - synthetic control series [Ridgeway, Kovandzic] - experimental design [Gill] - Others?? Stepped Wedge experiment [Tita, Ridgeway] - ???Geographically Weighted Regression [Brunsdon, Penn State person!!!!] ???? - ???????Time of day intervention/example????? - ????Other general regression [Boessan, Hipp, Taylor]???????? Police Officer Performance - community surveys [?Haberman, ?Kochel, ?Maskaly, ?Worden] - Officer metrics [Bonkiewicz] - Frontier Analysis [Ferrandino] - early intervention systems for officers [Chris Harris, Paoline, ????] Racial Profiling - racial bias analysis: outcome test [????] - veil of darkness [RTI folks] - matching to other officers [Ridgeway] - different denominators [???Alpert???] - stop linear program allocation [??Me???] - critical commentary on hot spots policing/profiling - negative externalities, [Kochel, Hinkle] - Harcourt critique [Harcourt] ------------------------------------------------------------- Notes Springer rep said more chapters the better for a handbook. Get folks to agree to most of the chapters, then pitch the book. Handbook of quant crim has 35 chapters! ------------------------------------------------------------- Book proposal: This handbook proposal is aimed at providing a one stop resource for both practitioners and researchers. Case studies in this volume apply advanced statistical techniques to regular problems encountered by crime analysts in practice. It also will be of interest to academics, as it provides an up-to-date resource on many new advanced analytical techniques they can apply to their own research. Current other books on the market only focus on relatively beginner level crime analysis (such as Boba's *Crime Analysis with Crime Mapping*), or are specifically crime mapping books. This clearly fills another niche, as none of those books contain any examples of the advanced analyses that are proposed here. Another current competitor would be *The Handbook of Quantitative Criminology*. While some of the chapters overlap between this example volume and the Quantitative handbook (such as an example case study of propensity score matching and a description of social network analysis), most do not. So this volume will cover much new material not presented previously. Subsequently it will be both a resource for working crime analysts, as well as for researchers in the field wishing to apply these techniques to their own research. While the advanced label may make it seem beyond a more general audience, each chapter will come with a reproducible example dataset and computer code, so the analysis can be replicated by any analyst with their own data.