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{ "pk": 49363, "title": "Industry Influencing Collective Scientific Reasoning: A Bayesian, Agent-based Exploration", "subtitle": null, "abstract": "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.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Causal reasoning; Agent-based Modeling; Bayesian modeling" } ], "section": "Papers with Poster Presentation", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/06t6b7v0", "frozenauthors": [ { "first_name": "Klee", "middle_name": "", "last_name": "Schöppl", "name_suffix": "", "institution": "University of Groningen", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2025-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49363/galley/37324/download/" } ] }