… Other challenges inherent to large scale, social network decision making, real-world
validation, and application of models, etc.—some of them applicable to consensual …

… This study suggests a mechanism to reduce dependency on experts for large-group
decision-making—that is, with the help of BI&A, BDA capability, and data-driven insights. Ding et al. (…

… regulatory framework of data ecosystems, have become crucial policy issues as more and
more innovations are based on large scale data collections from digital devices, and the real-…

… that our proposed framework could assist clinical decision making. … Then a group of random
forests were constructed for each size group in the training process, where in each group the …

… decision-making problem, the determination of plant location has been considered by some
researchers to be a single-objective decision making … with regard to high potential resources …

… analysis if large-scale anti-contagion policies had not been deployed. Consistent with process-…
We may not know the effect that large-scale policy (z) will have on behaviour (x(z)) or how …

… Conference papers, dissertations, editorials and book chapters were excluded from the
search, focusing on high-quality journals. To ensure the inclusion of high-quality journals in the …

… decision making we considered individuals with high NFC to be the already privileged group
… high NFC or whether they increased the performance gap (ie, inequality) between the two …

… Founded in 2010, the Vaccine Confidence Project (VCP) was established to develop
systematic approaches to monitoring public confidence in vaccines and to inform policy makers …

… The perceived fairness of decision-making procedures is a key concern for organizations, …
decision makers. However, while HR algorithms may remove human bias in decision making, …