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  • Forensic Psychology

  • Edited by Jennifer M. Brown, London School of Economics and Political Science, Miranda A. H. Horvath
  • Book: The Cambridge Handbook of Forensic Psychology
  • Published online: 02 December 2021
  • Print publication: 09 December 2021, pp 1-16

  • Summary

    This introduction to the second edition of the Cambridge Handbook of Forensic Psychology discusses phases of development in the field and distinguishes between this and practice as an accredited forensic psychologist. The status of Forensic Psychology as an autonomous discipline is evaluated and found to be a 'rendezvous' subject, meaning it stands at the crossroads between psychology, criminology and law. Definitions of forensic psychology remain 'fuzzy', and this volume adopts a broad usage in that it is taken to cover a wide range of psychological theories and methods and applied to problems, processes and personnel across the spectrum of criminal and civil justice systems. Analysis is presented of recent topics covered in the key journals, and it is noted that there is a dearth of coverage of diversity issues and research addressing victims needs which gaps the Handbook’s chapters attempt to address.

The Cambridge Handbook of Forensic Psychology
  • 2nd edition
  • Edited by Jennifer M. Brown, Miranda A. H. Horvath
  • Published online: 02 December 2021
  • Print publication: 09 December 2021
  • In the decade since the publication of the first edition of The Cambridge Handbook of Forensic Psychology, the field has expanded into areas such as social work and education, while maintaining the interest of criminal justice researchers and policy makers. This new edition provides cutting-edge and comprehensive coverage of the key theoretical perspectives, assessment methods, and interventions in forensic psychology. The chapters address substantive topics such as acquisitive crime, domestic violence, mass murder, and sexual violence, while also exploring emerging areas of research such as the expansion of cybercrime, particularly child sexual exploitation, as well as aspects of terrorism and radicalisation. Reflecting the global reach of forensic psychology and its wide range of perspectives, the international team of contributors emphasise diversity and cross-reference between adults, adolescents, and children to deliver a contemporary picture of the discipline.

  • py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

  • Benjamin H. Savitzky, Steven E. Zeltmann, Lauren A. Hughes, Hamish G. Brown, Shiteng Zhao, Philipp M. Pelz, Thomas C. Pekin, Edward S. Barnard, Jennifer Donohue, Luis Rangel DaCosta, Ellis Kennedy, Yujun Xie, Matthew T. Janish, Matthew M. Schneider, Patrick Herring, Chirranjeevi Gopal, Abraham Anapolsky, Rohan Dhall, Karen C. Bustillo, Peter Ercius, Mary C. Scott, Jim Ciston, Andrew M. Minor, Colin Ophus
  • Journal: Microscopy and Microanalysis / Volume 27 / Issue 4 / August 2021
  • Published online by Cambridge University Press: 21 May 2021, pp. 712-743
  • Print publication: August 2021
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  • Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct electron detector, it is now possible to record a full two-dimensional (2D) image of the diffracted electron beam at each probe position, typically a 2D grid of probe positions. These 4D-STEM datasets are rich in information, including signatures of the local structure, orientation, deformation, electromagnetic fields, and other sample-dependent properties. However, extracting this information requires complex analysis pipelines that include data wrangling, calibration, analysis, and visualization, all while maintaining robustness against imaging distortions and artifacts. In this paper, we present py4DSTEM, an analysis toolkit for measuring material properties from 4D-STEM datasets, written in the Python language and released with an open-source license. We describe the algorithmic steps for dataset calibration and various 4D-STEM property measurements in detail and present results from several experimental datasets. We also implement a simple and universal file format appropriate for electron microscopy data in py4DSTEM, which uses the open-source HDF5 standard. We hope this tool will benefit the research community and help improve the standards for data and computational methods in electron microscopy, and we invite the community to contribute to this ongoing project.

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