KHUSHBOO GUPTA,DR.SHYAM MAURYA,DR. CHAND TANDON
DOI: https://doi.org/The effectiveness of multidisciplinary research collaboration (MRC) in tackling some of the world’s most challenging problems is more nuanced than ‘more diversity is always better.’ This study attempts to tackle collaborative success in terms of cognitive factors and provides a model for team compatability. Cognitive vectors obtained from psychometric evaluation, behavioral study, and researcher profiling are computed and analyzed with machine learning models. Novel metric Collaborative Success Potential (CSP) is introduced to integrate cognitive compatability with cross-disciplinary diversity and shared mental models. A random forest classifier shows high accuracy in achieving predictive outcomes after being trained on data from 24 multidisciplinary teams. The results demonstrated that cognitive alignment, in most cases, is the primary driving factor for collaboration performance, oftentimes more than disciplinary diversity. This model, in addition to predicting success, provides guidance for team configuratons and assists institutions lean towards establishing a more cognitively cohesive research environment.
