Work

RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling

Year: 2022

Type: article

Abstract: This article describes and justifies a reporting standard to improve data use documentation in Agent-Based Modelling. Following the development of reporting standards for models themselves, empirical modelling has now developed to the point where these standards need to take equally effective account of data use (which previously has tended to be an afterthought to model description). It is particularly important that a standard should allow the reporting of the different uses to which data may be put (specification, calibration and validation), but also that it should be compatible with the integration of different kinds of data (for example, survey, ethnographic and experimental) sometimes known as mixed methods research. The article motivates the need for standards generally, and positions the distinctive contribution of the RAT-RS reporting standard. It describes how the standard was developed to ensure its usability, presents and explains it, and describes possibilities for future development.

Source: International Journal of Social Research Methodology

DOI: 10.1080/13645579.2022.2049511

Authors: Sebastian Achter, Melania Borit, Edmund Chattoe-Brown, Peer-Olaf Siebers

Institutions: Hamburg University of Technology, UiT The Arctic University of Norway, University of Leicester, University of Nottingham

Language: English

Topic: Multi-Agent Systems and Negotiation

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Manchester Metropolitan University, Economic and Social Research Council

Awards: ORA (Round 5) Towards realistic computational models of social influence dynamics, G898025475