Project info
Work package
- Work
Sustainability threat
- External Shocks
Challenge
- Dealing with diversity
- Identity flexibility and sustainable cooperation
- Reshaping organizational forms
Study info
Related studies according to this researcher
Socially situating NormAN: Standpoints and epistemic diversity in a Bayesian, agent-based model.
Related studies according to other researchers
Flooding the Zone: An agent-based exploration
Description of Study
Recent work in Bayesian, agent-based modelling of scientific communities has employed the Bala-Goyal framework to study the mechanisms involved when industry influence applies the so-called 'Tobacco Strategy' to undermine collective inquiry. Motivated by limitations of these models, we propose an alternative based on a recently introduced framework for normative argument exchange across networks. We implement representations of two distinct types of industry influence: 'Obfuscating' influence directs inquiry to experiments with low expected value of information. 'Misleading' influence filters private research and only communicates misleading signals from the world. We explored the impacts of both strategies on the polarization & mean error of, and flow of information through, social networks of scientists via computer simulations. We conclude that even against highly optimistic background assumptions, and in a less simplified model of inquiry and argumentation, industry influence poses a plausible threat to collective deliberation.
Study research question
Collection provenance
- -
Collection methods
- Simulation
Personal data
-
External Source
Source description
File formats
Data types
- Structured
Languages
Coverage start
Coverage end
Spatial coverage
Collection period start
—
Collection period end
—
Variables
Unit
Unit description
Sample size
Sampling method
Hypothesis
Theory
Variable type
Variable name
Variable description
Discipline-specific operationalizations
Conflict of interest
Data packages
Publications
Industry Influencing Collective Scientific Reasoning: A Bayesian, Agent-based Exploration
Proceedings of the Annual Meeting of the Cognitive Science Society, 2025.
Documents
Filename
Description
Date
Ethics
Ethical assessment
Unknown
Ethical committee