Summary
The aim of TUMLA is to provide the experienced fellow Dr. Marie Gueguen, expert in philosophy of science, additional training, skills and knowledge in the field of the philosophy of astrochemistry and model evaluation at UR1 (University of Rennes 1, France) and, through a secondment, in uncertainty management procedures in astrochemistry at the Astrophysics Laboratory of Bordeaux (LAB). This will consolidate her scientific expertise and maturity with the goal of holding a permanent academic position in France. TUMLA proposes a philosophical account of model evaluation in context of high uncertainties. The research aims to conduct an unprecedented study of the methods developed by astrochemists to assess the reliability of astrochemical models, aiming at computing the abundance of molecules in the interstellar medium or in planetary atmosphere as a function of time, despite the fact that the models and the observations against which they must be validated are highly uncertain. These uncertainties, the multiplicity of tasks that models must fill, their different phases of development—from young models that need improvement to mature ones, ready to get confronted to observations—, the strong interdisciplinarity of the field make astrochemistry unique in terms of the challenges that astrochemists must face in evaluating the accuracy of their models. Such an exceptional epistemic situation represents a huge opportunity for philosophers both to refine their understanding of model evaluation and to contribute to developing new methods for assessing the adequacy of a model. Philosophers have not addressed the epistemic challenges generated by uncertainties in science other than climate science. Considering other sciences such as astrochemistry could considerably help broaden their perspective on this topic. The aim of TUMLA is to fill this gap, such as to contribute to an overall philosophical account of model evaluation based on the contemporary practice of scientists.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101026214 |
| Start date: | 01-09-2021 |
| End date: | 31-08-2023 |
| Total budget - Public funding: | 184 707,84 Euro - 184 707,00 Euro |
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Original description
The aim of TUMLA is to provide the experienced fellow Dr. Marie Gueguen, expert in philosophy of science, additional training, skills and knowledge in the field of the philosophy of astrochemistry and model evaluation at UR1 (University of Rennes 1, France) and, through a secondment, in uncertainty management procedures in astrochemistry at the Astrophysics Laboratory of Bordeaux (LAB). This will consolidate her scientific expertise and maturity with the goal of holding a permanent academic position in France. TUMLA proposes a philosophical account of model evaluation in context of high uncertainties. The research aims to conduct an unprecedented study of the methods developed by astrochemists to assess the reliability of astrochemical models, aiming at computing the abundance of molecules in the interstellar medium or in planetary atmosphere as a function of time, despite the fact that the models and the observations against which they must be validated are highly uncertain. These uncertainties, the multiplicity of tasks that models must fill, their different phases of development—from young models that need improvement to mature ones, ready to get confronted to observations—, the strong interdisciplinarity of the field make astrochemistry unique in terms of the challenges that astrochemists must face in evaluating the accuracy of their models. Such an exceptional epistemic situation represents a huge opportunity for philosophers both to refine their understanding of model evaluation and to contribute to developing new methods for assessing the adequacy of a model. Philosophers have not addressed the epistemic challenges generated by uncertainties in science other than climate science. Considering other sciences such as astrochemistry could considerably help broaden their perspective on this topic. The aim of TUMLA is to fill this gap, such as to contribute to an overall philosophical account of model evaluation based on the contemporary practice of scientists.Status
CLOSEDCall topic
MSCA-IF-2020Update Date
28-04-2024
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