Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

Agent-based modeling is a computational approach in which agents with a specified set of
characteristics interact with each other and with their environment according to predefined …

Abstract In 1997, Robert Axelrod wondered in a highly influential paper" If people tend to
become more alike in their beliefs, attitudes, and behavior when they interact, why do not all …

People's sense of being subject to digital dataveillance can cause them to restrict their
digital communication behavior. Such a chilling effect is essentially a form of self-censorship …

Team processes are inherently dynamic phenomena theoretically, but they have largely
been treated as static in research. It is well established that they are important contributors to …

Multilevel theory and research have advanced organizational science but are limited
because the research focus is incomplete. Most quantitative research examines top-down …

Representing human decisions is of fundamental importance in agent-based models.
However, the rationale for choosing a particular human decision model is often not …

Psychologists have studied small-group and team effectiveness for decades, and although
there has been considerable progress, there remain significant challenges. Meta-analyses …

Complex systems abound in public health. Complex systems are made up of heterogeneous
elements that interact with one another, have emergent properties that are not explained by …

The increasing integration of technology into our lives has created unprecedented volumes
of data on society's everyday behaviour. Such data opens up exciting new opportunities to …