Silvia Bozza Seminar

Ημερομηνία Εκδήλωσης: 
Tuesday, October 22, 2019 - 13:15

AUEB STATISTICS SEMINAR SERIES OCTOBER 2019

Silvia Bozza, Dipartimento di Economics, Ca’ Foscari University of Venice (Italy) School of Criminal Justice, University of Lausanne (Switzerland)

The role of scientific evidence at trial

ROOM T103, 2 Troias str., New AUEB Building

ABSTRACT

Forensic scientists are typically confronted with the evaluation of the probative strength of a link between characteristics of recovered trace evidence and of material taken for comparative purposes. Categorical conclusions are unwarranted because of recurrent con- straints in the form of limited and incomplete information, and assessing the probative strength of scientific results in the light of multiple sources of uncertainty represents the regular case in forensic science. What is more, the interpretation of scientific results in applied scenarios of interest requires the construction of arguments in a balanced, logical, robust and transparent way.

Elements of probability theory and Bayesian reasoning can be meaningfully applied to help resolve questions of inference at the intersection between forensic science and the law, and support scientists in their interaction with recipients of expert information in the legal process. The assessment of the value of scientific evidence is commonly considered through the derivation of a Bayes factor, a rigorous concept that provides a balanced measure of the degree to which the evidence is capable of discriminating among competing propo- sitions. Its use is well established and largely supported by operational standards and recommendations in many forensic disciplines. However, the progress about a widespread consensus about foundational principles is fragile, and opinions about what should be an appropriate way to deal with such sources of uncertainty while presenting expressions of evidential value at trial differ. It often is argued that any conclusion based on subjective evaluations will be perceived by the recipient of expert information as arbitrary and liable to criticisms as guesswork, and that larger efforts should be devoted to maximize objectiv- ity and avoiding personal viewpoints. Following this line of reasoning, it is not unfrequent to find positions suggesting to report a range of values while presenting expressions of ev- idential value at trial. Such partial probability assignments may however not make good use of available information.