Thin Slices of Workgroups

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.In this paper, we explore whether perceivers can accurately assess the effectiveness of groups, the group properties perceivers use in their judgement, and the contextual and individual differences that allow some perceivers to be more accurate. Across seven studies, we present consistent evidence that perceivers can judge workgroup effectiveness in videos of different lengths—60, 30, and 10 seconds—and in 10-second silent videos and 10-second audio clips. We find that perceptions of collective properties of groups, including cohesion, affective trust, and cognitive trust partially mediate perceivers’ ability to accurately judge groups. Furthermore, increased attentional focus improves perceivers’ ability to judge group effectiveness. Finally, we find that perceivers with higher levels of social sensitivity are more accurate at judging group effectiveness. We discuss the implications of these findings for the groups literature and social perception literature

Making better decisions in groups

We review the literature to identify common problems of decision-making in individuals and groups. We are guided by a Bayesian framework to explain the interplay between past experience and new evidence, and the problem of exploring the space of hypotheses about all the possible states that the world could be in and all the possible actions that one could take. There are strong biases, hidden from awareness, that enter into these psychological processes. While biases increase the efficiency of information processing, they often do not lead to the most appropriate action. We highlight the advantages of group decision-making in overcoming biases and searching the hypothesis space for good models of the world and good solutions to problems. Diversity of group members can facilitate these achievements, but diverse groups also face their own problems. We discuss means of managing these pitfalls and make some recommendations on how to make better group decisions

Digital Sorting of Pure Cell Populations Enables Unambiguous Genetic Analysis of Heterogeneous Formalin-Fixed Paraffin-Embedded Tumors by Next Generation Sequencing

Precision medicine in oncology requires an accurate characterization of a tumor molecular profile for patient stratification. Though targeted deep sequencing is an effective tool to detect the presence of somatic sequence variants, a significant number of patient specimens do not meet the requirements needed for routine clinical application. Analysis is hindered by contamination of normal cells and inherent tumor heterogeneity, compounded with challenges of dealing with minute amounts of tissue and DNA damages common in formalin-fixed paraffin-embedded (FFPE) specimens. Here we present an innovative workflow using DEPArray™ system, a microchip-based digital sorter to achieve 100%-pure, homogenous subpopulations of cells from FFPE samples. Cells are distinguished by fluorescently labeled antibodies and DNA content. The ability to address tumor heterogeneity enables unambiguous determination of true-positive sequence variants, loss-of-heterozygosity as well as copy number variants. The proposed strategy overcomes the inherent trade-offs made between sensitivity and specificity in detecting genetic variants from a mixed population, thus rescuing for analysis even the smaller clinical samples with low tumor cellularity