2015 INFORMS Annual Conference
Industry NewsAIMMS signs partnership agreement with BCG
AIMMS BV, an advanced analytics software company, recently announced a new partnership agreement with The Boston Consulting Group (BCG), one of the world’s top management consultancies. The two firms will collaborate on software development, marketing, sales and implementation of AIMMS’ technology platform in order to strengthen their mutual position in the market for strategic consulting and advanced analytic services.Read More
Special ArticlesINFORMS hosts successful healthcare conference
The 2015 INFORMS Healthcare Conference recently held in Nashville, Tenn., was a big success with 125 sessions and more than 500 talks. The conference featured a great combination of academic and practitioner speakers, along with a nice blend of healthcare and analytics professionals. Interesting thought-provoking dialogue was evident from contrasting views of healthcare professionals.Read More
Analytics Section of INFORMS NewsAnalytics Section members wearing ‘CAPs’
The Analytics Section of INFORMS salutes its members who have achieved the Certified Analytics Professional (CAP®) designation. They have measured up to the high standard of the analytics profession that INFORMS’ subject matter experts have determined must be met in order to qualify as a certified professional.Read More
Statistical model unlocks barriers to fingerprint evidence
Potentially key fingerprint evidence is currently not being considered due to shortcomings in the way it is reported, according to a report published in the February issue of Significance, the magazine of the Royal Statistical Society and the American Statistical Association. Researchers involved in the study have devised a statistical model to enable the weight of fingerprint evidence to be quantified, paving the way for its full inclusion in the criminal identification process.
Fingerprints have been used for over a century as a way of identifying criminals. However, fingerprint evidence is not currently permitted to be reported in court unless examiners claim absolute certainty that a mark has been left by a particular suspect. This courtroom certainty is based purely on categorical personal opinion, formed through years of training and experience, but not on logic or scientific data. Less than certain fingerprint evidence is not reported at all, irrespective of the potential weight and relevance of this evidence in a case.
The paper highlights this subjectivity in current processes, calling for changes in the way such key evidence is allowed to be presented. According to Professor of Statistics Cedric Neumann, “It is unthinkable that such valuable evidence should not be reported, effectively hidden from courts on a regular basis. Such is the importance of this wealth of data, we have devised a reliable statistical model to enable the courts to evaluate fingerprint evidence within a framework similar to that which underpins DNA evidence.”
Neumann, from Pennsylvania State University, and his team devised and successfully tested a model for establishing the probability of a print belonging to a particular suspect. After mapping the finer points of detail on a “control print” and “crime scene print,” two hypotheses were then tested. The first test, to establish the probability that the crime scene print was made by the owner of the control print (the suspect), compared the control print with a range of other prints made by the suspect. The second test, to establish the probability that the crime scene print was made by someone other than the suspect, compared the crime scene print with a set of prints in a reference database. A likelihood ratio between the two probabilities was calculated; the higher the ratio indicating stronger evidence that the suspect was the source of the crime scene print.
“Current practice allows a state of certainty to be presented which is not justified scientifically, or supported by logical process or data,” says Neumann. “We believe that the examiner should not decide what evidence should or should not be presented. Our method allows all evidence to be supported by data, and reported according to a continuous scale.”