An agent-based model of interdisciplinary interactions in science

TL;DR

This paper presents an agent-based model to explore how individual scientist decisions and collaboration structures influence the emergence of interdisciplinarity in scientific research, with implications for research policy.

Contribution

It introduces a simple, agent-based simulation framework to analyze the effects of researcher choices and network structures on interdisciplinary outcomes.

Findings

Individual choices non-linearly affect interdisciplinarity levels

Collaboration network structures influence global interdisciplinarity

Research organization impacts knowledge development and disciplinary depth

Abstract

An increased interdisciplinarity in science projects has been highlighted as crucial to tackle complex real-world challenges, but also as beneficial for the development of disciplines themselves. This paper introduces a parcimonious agent-based model of interdisciplinary relationships in collective entreprises of knowledge discovery, to investigate the impact of scientist-level decisions and preferences on global interdisciplinarity patterns. Under the assumption of simple rules for individual researcher project management, such as trade-offs between invested time overhead and knowledge benefit, model simulations show that individual choices influence the distribution of compromise points between emergent level of disciplinary depth and interdisciplinarity in a non-linear way. Different structures for collaboration networks may also yield various outcomes in terms of global interdisciplinarity. We conclude that independently of the research field, the organization of research, and more particularly the local balancing between vertical and horizontal research, already influences the final positioning of research results and the extent of the knowledge front. This suggests direct applications to research policies with a bottom-up leverage on the interactions between disciplines.