Diversity and Communication in Teams: Improving Problem Solving or Creating Confusion?

Despite the rich and interdisciplinary debate on the role of diversity and communication in group problem solving, as well as the recognition of the interactions between the two issues, they have been rarely treated as a joint research topic. In this paper we offer a computational model of agents in teams and we assess the impact of various levels of diversity and communication on individual and collective performance at solving problems. By communication we intend a conversation on the persuasiveness of the features characterizing the problem setting. By diversity we mean differences in how agents build problem representations that allow them to access various solutions. We deploy the concept of diversity along two dimensions: knowledge amplitude, that is the relative amount of available knowledge with respect to the complete representation of a problem, and knowledge variety, that, for a given level of knowledge amplitude, regards differences in knowledge constituents Our results highlight the peculiar role and the interactions between the different sources of variety. Regarding knowledge amplitude, when agents have an incomplete representation of the problem, communication provides just confusion as it is difficult to find a common language for sharing thoughts, and agents perform better alone. Adding knowledge variety to this scenario, effects of communication are even more devastating. Conversely, as the representation of the problem gets more and more complete, communication becomes effective and displays a clear non-monotonic effect: after an optimal point, performance declines very rapidly and gets worse than the individual behavior. In this case, the introduction of knowledge variety further increases performance in teams, since benefits from integrating partial representations of the problem occur more frequently than communication clashes. Finally, highly diverse teams seem to be less sensitive to changes in communication strength, while as diversity declines, even small discrepancies from the optimal communication strength level might account for a strong variability of performance. In particular, overestimation of the required communication effort might cause severe performance breakdowns. Our results suggest that organizations and firms should jointly consider communication intensity and different sources of diversity in teams, since interactions among these variables might result in problem solving groups resembling more a Tower of Babel than an effective and helpful workplace.problem solving; diversity; heterogeneous agents; communication; constraint satisfaction; neural networks; causality

Diversity Communication in Teams: Improving Problem Solving or Creating Confusion?

Despite the rich and interdisciplinary debate on the role of diversity and communication in group problem solving, as well as the recognition of the interactions between the two topics, they have been rarely treated as a joint research issue. In this paper we develop a computational approach aimed at modeling problem solving agents and we assess the impact of various levels of diversity and communication in teams on agents' performance at solving problems. By communication we intend a conversation on the persuasiveness of the features characterizing the problem setting. By diversity we mean differences in how agents build problem representations that allow them to access various solutions. We deploy the concept of diversity along two dimensions: knowledge amplitude, that is, the amount of available knowledge (compared to the complete representation of a problem), and knowledge variety, which pertains to the differences in agents' knowledge endowments.x10Our results show the different impact of these two sources of variety on problem solving performance in teams, as well as their interplay. Regarding knowledge amplitude, when agents' representation of the problem is considerably incomplete, communication provides confusion as it is difficult to find a common language for sharing thoughts, and agents perform better alone. Adding knowledge variety to this scenario, the effects of communication are even more negative. Conversely, as the representation of the problem gets more and more complete, communication becomes more and more effective. Albeit displaying a clear non-monotonic effect: increasing the communication strength, performance increases until an optimal point, after which it declines and gets very rapidly worse than individual behavior. In this case, the introduction of knowledge variety further increases performance in teams, since benefits from integrating partial representations of the problem occur more frequently than communication clashes. Finally, highly diverse teams seem to be less sensitive to changes in communication strength, while as diversity declines, even small discrepancies from the optimal communication strength level might account for a strong variability of performance. In particular, overestimation of the required communication effort might cause severe performance breakdowns.x10Our results suggest that organizations and firms should jointly consider communication intensity and different sources of diversity in teams, since interactions among these variables might result in problem solving groups resembling more a Tower of Babel than an effective and helpful workplaceproblem solving; diversity; heterogeneous agents; communication; constraint; satisfaction; neural networks; causality

Towards Resilient Organisations and Societies? Reflections on the Multifaceted Nature of Resilience

As the chapters in this volume have shown, resilience is a multifaceted and malleable concept that can be fruitfully applied to a wide range of phenomena at all levels of society. At the same time, there is a distinct danger of concept stretching. In this concluding chapter, we look at both the extensiveness of the concept, reviewing the range of complementary concepts that have been engaged by the authors, and how it can be delimited to maintain conceptual distinctiveness and explanatory value. What is more, we provide some recommendations on how scholars working across disciplinary boundaries may go about unpacking resilience in and for organizations and societies.publishedVersio

Resilience in Organizations and Societies: The State of the Art and Three Organizing Principles for Moving Forward

Resilience has attracted a multitude of scholars from diverse backgrounds and disciplines as it is a desired feature for responding to the adversities that modern societal systems face, not least the Covid-19 pandemic. Existing research displays little convergence on the definition of the concept making a robust theoretical framework and empirical understanding of resilience highly desirable. The aim of this chapter is to provide a more holistic understanding of the complex phenomenon of resilience from a multi-sectorial, cross-national and multidisciplinary perspective by proposing an original approach into the state of the art that might enhance future research. This chapter identifies three organizing principles for a framework of resilience. First, resilience embeds both stability and change which are both required elements. Second, adversities and their novelty profile can be mapped onto a typology of absorptive, adaptive and transformative resilience. Third, resilience has a temporal dimension that can be articulated in regard to forecasting, mechanisms and outcomes. The chapters of this edited book are positioned and connected by applying these three principles, in order to both enable theory testing and theory development throughout the volume and provide key empirical insights useful for societies, organizations and individuals.publishedVersio

Exploiting Overlapping Advantages of <i>in vitro</i> and <i>in cellulo</i> Selection Systems to Isolate a Novel High-affinity cJun Antagonist

We have combined two peptide library-screening systems, exploiting the benefits offered by both to select novel antagonistic agents of cJun. CIS display is an <i>in vitro</i> cell-free system that allows very large libraries (≤10¹⁴) to be interrogated. However, affinity-based screening conditions can poorly reflect those relevant to therapeutic application, particularly for difficult intracellular targets, and can lead to false positives. In contrast, an <i>in cellulo</i> screening system such as the Protein-fragment Complementation Assay (PCA) selects peptides with high target affinity while additionally profiling for target specificity, protease resistance, solubility, and lack of toxicity in a more relevant context. A disadvantage is the necessity to transform cells, limiting library sizes that can be screened to ≤10⁶. However, by combining both cell-free and cell-based systems, we isolated a peptide (CPW) from a ∼10¹⁰ member library, which forms a highly stable interaction with cJun (<i>T</i>_m = 63 °C, <i>K</i>_d = 750 nM, Δ<i>G</i> = −8.2 kcal/mol) using the oncogenic transcriptional regulator Activator Protein-1 (AP-1) as our exemplar target. In contrast, CIS display alone selected a peptide with low affinity for cJun (<i>T</i>_m = 34 °C, <i>K</i>_d = 25 μM, Δ<i>G</i> = −6.2 kcal/mol), highlighting the benefit of CIS → PCA. Furthermore, increased library size with CIS → PCA vs PCA alone allows the freedom to introduce noncanonical options, such as interfacial aromatics, and solvent exposed options that may allow the molecule to explore alternative structures and interact with greater affinity and efficacy with the target. CIS → PCA therefore offers significant potential as a peptide-library screening platform by synergistically combining the relative attributes of both assays to generate therapeutically interesting compounds that may otherwise not be identified

Codon-precise, synthetic, antibody fragment libraries built using automated hexamer codon additions and validated through next generation sequencing

We have previously described ProxiMAX, a technology that enables the fabrication of precise, combinatorial gene libraries via codon-by-codon saturation mutagenesis. ProxiMAX was originally performed using manual, enzymatic transfer of codons via blunt-end ligation. Here we present Colibra™: an automated, proprietary version of ProxiMAX used specifically for antibody library generation, in which double-codon hexamers are transferred during the saturation cycling process. The reduction in process complexity, resulting library quality and an unprecedented saturation of up to 24 contiguous codons are described. Utility of the method is demonstrated via fabrication of complementarity determining regions (CDR) in antibody fragment libraries and next generation sequencing (NGS) analysis of their quality and diversity

ProxiMAX randomisation:a new technology for non-degenerate saturation mutagenesis of contiguous codons

Back in 2003, we published ‘MAX’ randomisation, a process of non-degenerate saturation mutagenesis using exactly 20 codons (one for each amino acid) or else any required subset of those 20 codons. ‘MAX’ randomisation saturates codons located in isolated positions within a protein, as might be required in enzyme engineering, or else on one face of an alpha-helix, as in zinc finger engineering. Since that time, we have been asked for an equivalent process that can saturate multiple, contiguous codons in a non-degenerate manner. We have now developed ‘ProxiMAX’ randomisation, which does just that: generating DNA cassettes for saturation mutagenesis without degeneracy or bias. Offering an alternative to trinucleotide phosphoramidite chemistry, ProxiMAX randomisation uses nothing more sophisticated than unmodified oligonucleotides and standard molecular biology reagents. Thus it requires no specialised chemistry, reagents nor equipment and simply relies on a process of saturation cycling comprising ligation, amplification and digestion for each cycle. The process can encode both unbiased representation of selected amino acids or else encode them in pre-defined ratios. Each saturated position can be defined independently of the others. We demonstrate accurate saturation of up to 11 contiguous codons. As such, ProxiMAX randomisation is particularly relevant to antibody engineering