Breaking the barriers between intelligence, investigation and evaluation: A continuous approach to define the contribution and scope of forensic science.

Forensic science has been evolving towards a separation of more and more specialised tasks, with forensic practitioners increasingly identifying themselves with only one sub-discipline or task of forensic science. Such divisions are viewed as a threat to the advancement of science because they tend to polarise researchers and tear apart scientific communities. The objective of this article is to highlight that a piece of information is not either intelligence or evidence, and that a forensic scientist is not either an investigator or an evaluator, but that these notions must all be applied in conjunction to successfully understand a criminal problem or solve a case. To capture the scope, strength and contribution of forensic science, this paper proposes a progressive but non-linear continuous model that could serve as a guide for forensic reasoning and processes. In this approach, hypothetico-deductive reasoning, iterative thinking and the notion of entropy are used to frame the continuum, situate forensic scientists' operating contexts and decision points. Situations and examples drawn from experience and practice are used to illustrate the approach. The authors argue that forensic science, as a discipline, should not be defined according to the context it serves (i.e. an investigation, a court decision or an intelligence process), but as a general, scientific and holistic trace-focused practice that contributes to a broad range of goals in various contexts. Since forensic science does not work in isolation, the approach also provides a useful basis as to how forensic scientists should contribute to collective and collaborative problem-solving to improve justice and security.

[1]  O. Ribaux,et al.  Intelligence-led crime scene processing. Part II: Intelligence and crime scene examination. , 2010, Forensic Science International.

[2]  D. Wyatt,et al.  Practising crime scene investigation: trace and contamination in routine work , 2014 .

[3]  David V. Canter,et al.  Predicting Serial Killers' Home Base Using a Decision Support System , 2000 .

[4]  P. Pottier,et al.  Les activités mentales au cours du raisonnement médical diagnostique , 2011 .

[5]  Carlo Morselli,et al.  The contribution of forensic science to the analysis of crime networks , 2017 .

[6]  Kevin Buckler,et al.  The Quantitative/Qualitative Divide Revisited: A Study of Published Research, Doctoral Program Curricula, and Journal Editor Perceptions , 2008 .

[7]  Henk Elffers,et al.  Reconstructing with trace information: Does rapid identification information lead to better crime reconstructions? , 2017 .

[8]  Colin Aitken,et al.  Bayesian Networks and Probabilistic Inference in Forensic Science , 2006 .

[9]  Jan Terpstra,et al.  Critical Review in Criminal Investigation: Evaluation of a Measure to Prevent Tunnel Vision , 2014 .

[10]  Claude Roux,et al.  Expressing the value of forensic science in policing , 2017 .

[11]  Carol E. Cleland Prediction and Explanation in Historical Natural Science , 2011, The British Journal for the Philosophy of Science.

[12]  K Harrison Is crime scene examination science, and does it matter anyway? , 2006, Science & justice : journal of the Forensic Science Society.

[13]  D. Kahneman Thinking, Fast and Slow , 2011 .

[14]  Franco Taroni,et al.  Statistics and the Evaluation of Evidence for Forensic Scientists , 2004 .

[15]  Stuart S Kind,et al.  The scientific investigation of crime , 1987 .

[16]  David Barclay,et al.  Using forensic science in major crime inquiries , 2009 .

[17]  O. Ribaux,et al.  Intelligence-led crime scene processing. Part I: Forensic intelligence. , 2010, Forensic science international.

[18]  G. Harman The Inference to the Best Explanation , 1965 .

[19]  David Carson,et al.  The Abduction of Sherlock Holmes , 2009 .

[20]  D. Hofstadter,et al.  Surfaces and Essences: Analogy as the Fuel and Fire of Thinking , 2013 .

[21]  Peter Lipton,et al.  Inference to the best explanation , 1993 .

[22]  E. R. Petersen,et al.  An information processing model of a police organization , 1991 .

[23]  Sonja Bitzer,et al.  Forensic case coordination in Europe - Their role within 5 European institutes. , 2019, Forensic science international.

[24]  I. Evett,et al.  The nature of forensic science opinion--a possible framework to guide thinking and practice in investigations and in court proceedings. , 2006, Science & justice : journal of the Forensic Science Society.

[25]  Marco Favretti,et al.  Remarks on the Maximum Entropy Principle with Application to the Maximum Entropy Theory of Ecology , 2017, Entropy.

[26]  Ranajit Chakraborty,et al.  Interpreting DNA evidence , 2000 .

[27]  John D DeHaan,et al.  Stuart Kind memorial lecture. Forensic Science Society. November 2, 2007. , 2008, Science & justice : journal of the Forensic Science Society.

[28]  Olivier Ribaux,et al.  The polymorphism of crime scene investigation: An exploratory analysis of the influence of crime and forensic intelligence on decisions made by crime scene examiners. , 2015, Forensic science international.

[29]  J. Brodeur,et al.  L’enquête criminelle , 2006 .

[30]  A Jamieson A rational approach to the principles and practice of crime scene investigation: I. Principles. , 2004, Science & justice : journal of the Forensic Science Society.

[31]  Carol E. Cleland Common cause explanation and the search for a smoking gun , 2013 .

[32]  Laetitia Heudt,et al.  The introduction of forensic advisors in Belgium and their role in the criminal justice system. , 2017, Science & justice : journal of the Forensic Science Society.

[33]  Jon B. Gould,et al.  Predicting Erroneous Convictions: A Social Science Approach to Miscarriages of Justice , 2013 .

[34]  Olivier Ribaux,et al.  Situating forensic traces in time. , 2012, Science & justice : journal of the Forensic Science Society.

[35]  Richards J. Heuer,et al.  Psychology of Intelligence Analysis , 1999 .

[36]  R. M. Morgan,et al.  Conceptualising forensic science and forensic reconstruction. Part II: The critical interaction between research, policy/law and practice. , 2017, Science & justice : journal of the Forensic Science Society.

[37]  Pierre Margot,et al.  Traceology, the bedrock of forensic science and its associated semantics , 2017 .

[38]  Daniel Jositsch,et al.  Eine Dunkelziffer bei Tötungsdelikten in der Schweiz. Fiktion oder Realität? (Zweitpublikation) , 2014 .

[39]  Olivier Ribaux,et al.  A collaborative approach for incorporating forensic case data into crime investigation using criminal intelligence analysis and visualisation. , 2014, Science & justice : journal of the Forensic Science Society.

[40]  N. Leech,et al.  On Becoming a Pragmatic Researcher: The Importance of Combining Quantitative and Qualitative Research Methodologies , 2005 .

[41]  Olivier Guéniat,et al.  In Vestige @ and Police Management? , 2019 .

[42]  C. Champod Research focused mainly on bias will paralyse forensic science. , 2014, Science & justice : journal of the Forensic Science Society.

[43]  Claude Roux,et al.  Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring. , 2015, Forensic science international.

[44]  Helena Machado,et al.  Ethics in Transnational Forensic DNA Data Exchange in the EU: Constructing Boundaries and Managing Controversies , 2018 .

[45]  Claude Roux,et al.  Forensic intelligence framework--Part I: Induction of a transversal model by comparing illicit drugs and false identity documents monitoring. , 2014, Forensic science international.

[46]  Olivier Delémont,et al.  To analyse a trace or not? Evaluating the decision-making process in the criminal investigation. , 2016, Forensic science international.

[47]  P. R. De Forest,et al.  Recapturing the essence of criminalistics. , 1999 .

[48]  Scott Jacques,et al.  The quantitative–qualitative divide in criminology: A theory of ideas’ importance, attractiveness, and publication , 2014 .

[49]  Durdica Hazard,et al.  The Relevant Physical Trace in Criminal Investigation , 2016 .

[50]  Renze Salet,et al.  Framing in criminal investigation , 2016, The police journal.

[51]  Peter R. De Forest,et al.  Is forensic science in danger of extinction? , 2019, Science & justice : journal of the Forensic Science Society.

[52]  Christianne J de Poot,et al.  Identification at the crime scene: The sooner, the better? The interpretation of rapid identification information by CSIs at the crime scene. , 2017, Science & justice : journal of the Forensic Science Society.

[53]  Pierre Margot,et al.  Forensic science on trial - What is the law of the land? , 2011 .

[54]  Eoghan Casey,et al.  The Kodak Syndrome: Risks and Opportunities Created by Decentralization of Forensic Capabilities , 2018, Journal of forensic sciences.

[55]  Eoghan Casey,et al.  Honing digital forensic processes , 2013, Digit. Investig..

[56]  David Weisburd,et al.  Proactive Policing: Effects on Crime and Communities , 2017 .

[57]  R. Morgan Conceptualising forensic science and forensic reconstruction. Part I: A conceptual model. , 2017, Science & justice : journal of the Forensic Science Society.

[58]  Olivier Delémont,et al.  The practice of crime scene examination in an intelligence-based perspective , 2017 .

[59]  James Robertson,et al.  Professionalism in Crime Scene Examination: The Seven Key Attributes of Top Crime Scene Examiners , 2011 .

[60]  Howard Atkin Criminal Intelligence: Manual for Analysts , 2011 .

[61]  Ian Evett,et al.  The logical foundations of forensic science: towards reliable knowledge , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

[62]  N Rudin,et al.  The origin of evidence. , 2002, Forensic science international.

[63]  Stuart S. Kind,et al.  Crime investigation and the criminal trial: a three chapter paradigm of evidence , 1994 .