Faculty and Staff

The ethics of forensic professionalism is often couched in terms of competing individual and societal values. Indeed, the welfare of individuals is often secondary to the requirements of society, especially given the public nature of courts of law, forensic hospitals, jails, and prisons. We explore the weaknesses of this dichotomous approach to forensic ethics, offering an analysis of Psychology's historical narrative especially relevant to the national security and correctional settings. We contend that a richer, more robust ethical analysis is available if practitioners consider the multiple perspectives in the forensic encounter, and acknowledge the multiple influences of personal, professional, and social values. The setting, context, or role is not sufficient to determine the ethics of forensic practice.

This survey of 206 forensic psychologists tested the “filtering” effects of preexisting expert attitudes in adversarial proceedings. Results confirmed the hypothesis that evaluator attitudes toward capital punishment influence willingness to accept capital case referrals from particular adversarial parties. Stronger death penalty opposition was associated with higher willingness to conduct evaluations for the defense and higher likelihood of rejecting referrals from all sources Conversely, stronger support was associated with higher willingness to be involved in capital cases generally, regardless of referral source. The findings raise the specter of skewed evaluator involvement in capital evaluations, where evaluators willing to do capital casework may have stronger capital punishment support than evaluators who opt out, and evaluators with strong opposition may work selectively for the defense. The results may provide a partial explanation for the “allegiance effect” in adversarial legal settings such that preexisting attitudes may contribute to partisan participation through a self-selection process.

Bias, or systematic influences that create errors in judgment, can affect psychological evaluations in ways that lead to erroneous diagnoses and opinions. Although these errors can have especially serious consequences in the criminal justice system, little research has addressed forensic psychologists’ awareness of well-known cognitive biases and debiasing strategies. We conducted a national survey with a sample of 120 randomly-selected licensed psychologists with forensic interests to examine a) their familiarity with and understanding of cognitive biases, b) their self-reported strategies to mitigate bias, and c) the relation of a and b to psychologists’ cognitive reflection abilities. Most psychologists reported familiarity with well-known biases and distinguished these from sham biases, and reported using research-identified strategies but not fictional/sham strategies. However, some psychologists reported little familiarity with actual biases, endorsed sham biases as real, failed to recognize effective bias mitigation strategies, and endorsed ineffective bias mitigation strategies. Furthermore, nearly everyone endorsed introspection (a strategy known to be ineffective) as an effective bias mitigation strategy. Cognitive reflection abilities were systematically related to error, such that stronger cognitive reflection was associated with less endorsement of sham biases.

This project began as an attempt to develop systematic, measurable indicators of bias in written forensic mental health evaluations focused on the issue of insanity. Although forensic clinicians observed in this study did vary systematically in their report-writing behaviors on several of the indicators of interest, the data are most useful in demonstrating how and why bias is hard to ferret out. Naturalistic data was used in this project (i.e., 122 real forensic insanity reports), which in some ways is a strength. However, given the nature of bias and the problem of inferring whether a particular judgment is biased, naturalistic data also made arriving at conclusions about bias difficult. This paper describes the nature of bias – including why it is a special problem in insanity evaluations – and why it is hard to study and document. It details the efforts made in an attempt to find systematic indicators of potential bias, and how this effort was successful in part but also how and why it failed. The lessons these efforts yield for future research are described. We close with a discussion of the limitations of this study and future directions for work in this area.

We investigated the role of moral disengagement in a legally‐relevant judgment in this theoretically‐driven empirical analysis. Moral disengagement is a social‐cognitive phenomenon through which people reason their way toward harming others, presenting a useful framework for investigating legal judgments that often result in harming individuals for the good of society. We tested the role of moral disengagement in forensic psychologists’ willingness to conduct the most ethically questionable clinical task in the criminal justice system: competence for execution evaluations. Our hypothesis that moral disengagement would function as mediator of participants’ existing attitudes and their judgments—a theoretical “bridge” between attitudes and judgments—was robustly supported. Moral disengagement was key to understanding how psychologists decide to engage in competence for execution evaluations. We describe in detail the moral disengagement measure we used, including exploratory and confirmatory factor analyses across two separate samples. The four‐factor measure accounted for a total of 52.18 percent of the variance in the sample of forensic psychologists, and the model adequately fit the data in the entirely different sample of jurors in a confirmatory factor analysis. Despite the psychometric strengths of this moral disengagement measure, we describe the pros and cons of existing measures of moral disengagement. We outline future directions for moral disengagement research, especially in legal contexts.

Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value of the accessibility metric during sketch planning processes, due to scenarios which are underspecified because detailed schedule information is not yet available. This article presents a method to extend the concept of "reliable" accessibility to transit to address the first issue, and create confidence intervals and hypothesis tests to address the second.

There is a need for indicators of transportation-land use system quality that are understandable to a wide range of stakeholders, and which can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day and transfer wait times. Capturing this variation increases complexity, slowing down calculations. We present new methods for rapid yet rigorous computation of accessibility metrics, allowing immediate feedback during early-stage transit planning, while being rigorous enough for final analyses. Our approach is statistical, characterizing the uncertainty and variability in accessibility metrics due to differences in departure time and headway-based scenario specification. The analysis is carried out on a detailed multi-modal network model including both public transportation and streets. Land use data are represented at high resolution. These methods have been implemented as open-source software running on commodity cloud infrastructure. Networks are constructed from standard open data sources, and scenarios are built in a map-based web interface. We conclude with a case study, describing how these methods were applied in a long-term transportation planning process for metropolitan Amsterdam.