Forensic Data Science Laboratory

About

The Forensic Data Science Laboratory conducts research to develop methods for evaluation of forensic evidence that are based on relevant data, quantitative measurements, and statistical models; methods that:

  • are transparent and reproducible;
  • are intrinsically resistant to cognitive bias;
  • use the logically correct framework for interpretation of evidence (the likelihood-ratio framework); and
  • are empirically validated under casework conditions.


In order to develop methods that provide solutions for real forensic-evaluation problems, solutions that have a high probability of actually being adopted in casework, members of the Laboratory conduct research in collaboration with researchers and practitioners who have expertise in particular branches of forensic science.

Members of the Laboratory also conduct research on calibration and validation of forensic-evaluation systems, and on communication of forensic science to courts, research whose results are applicable across many branches of forensic science.

In addition to research, members of the Laboratory provide training in forensic inference and statistics to forensic practitioners and to lawyers, and contribute to the development of standards and guidelines for forensic science.

Leadership

The director of the laboratory is Dr Geoffery Stewart Morrison. Dr Morrison was a leading applicant on the E3 grant that established AIFL. Prior to the formation of the Laboratory, Dr Morrison and his colleagues spent more than a decade promoting and developing implementation of the new paradigm, primarily in forensic speech science.

Dr Geoff

Dr Morrison’s former appointments include Director of the Forensic Voice Comparison Laboratory, School of Electrical Engineering & Telecommunications, University of New South Wales, and Scientific Counsel, Office of Legal Affairs, INTERPOL. He is author of more than 50 academic publications, and has been a subject editor and a guest editor for the journals Speech Communication and Science & Justice. He is Chair of the Forensic Science Committee of the British Standards Institution (BSI), and an active member of the Forensic Science Committee of the International Organization for Standardization (ISO) and of the Speaker Recognition Subcommittee of the Organization of Scientific area Committees for Forensic Science (OSAC). He has forensic casework experience in Australia, Canada, Northern Ireland, Sweden, and the United States.

Our People

AIFL Members
Dr Nabanita Basu
Research Associate in Forensic Data Science 
Email: n.basu@aston.ac.uk
Dr Philip Weber 
Lecturer in Computer Science
Email: p.weber1@aston.ac.uk
Dr Geoffrey Stewart Morrison
Director of the Forensic Data Science Laboratory
Email: g.s.morrison@aston.ac.uk
 
Honorary and Adjunct Staff
Dr Rachel Bolton-King
Associate Professor of Forensic Science, Department of Criminal Justice and Forensic Science, Staffordshire University
Dr Rolf Ypma
Forensic Data Scientist, Netherlands Forensic Institute
Dr Ewald Enzinger
Senior Research Engineer, Eduworks Corporation
Prof Cuiling Zhang
Director, Chongqing Institutes of Higher Education Key Forensic Science Laboratory
Dr Claudia Rosas
Associate Professor, Instituto de Lingüística y Literatura, Universidad Austral de Chile
 
Advisory Board Members
Prof. Dr. Didier Meuwly
Professor, Department of Data Management & Biometrics, University of Twente
 

 

Projects

The following research and development projects are in progress or under development.

Calibration and Validation of Forensic-Evaluation Systems
  • methods for calculation of likelihood ratios
  • empirical calibration of forensic-comparison systems
  • empirical validation of forensic-comparison systems

 

E3 Forensic-Speech-Science System (E3FS3)

 

  • standards, guidelines, and standard operating procedures
  • data-collection protocols and software
  • open-code software tools based on state-of-the-art automatic-speaker-recognition technology
  • library of validation reports
  • training for practitioners
Speaker Recognition / Speaker Identification by Human Listeners
  • speaker recognition by earwitnesses
  • speaker identification by judges and juries
Firearms
  • comparison of fired cartridge cases
  • data collection
  • development and validation of feature-based methods for calculation of likelihood ratios
Forensic Anthropology
  • development and validation of methods for calculation of likelihood ratios

 

Cell-Site Analysis
  • data collection
  • development and validation of methods for calculation of likelihood ratios
Fingerprints
  • data collection
  • development and validation of forensic-data-science methods for comparison of fingerprints and fingermarks
  • training for practitioners application for research funding under development
Communicating Forensic Science
  • understanding of likelihood ratios by legal-decision makers
  • understanding of validation by legal-decision makers
Authorship Attribution
  • development and validation of methods for calculation of likelihood ratios