Jebeile, Julie Alia Nina

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Jebeile, Julie (2024). From regional climate models to usable information. Climatic change, 177(3), p. 53. Springer 10.1007/s10584-024-03693-7


Majszak, Mason; Jebeile, Julie (2023). Expert judgment in climate science: How it is used and how it can be justified. Studies in history and philosophy of science, 100, pp. 32-38. Elsevier 10.1016/j.shpsa.2023.05.005

Jebeile, Julie; Lam, Vincent; Majszak, Mason Meyer; Räz, Tim (2023). Machine learning and the quest for objectivity in climate model parameterization. Climatic change, 176(8), p. 101. Springer 10.1007/s10584-023-03532-1

Jebeile, Julie; Roussos, Joe (2023). Usability of climate information: toward a new scientific framework. WIREs climate change, 14(5) Wiley 10.1002/wcc.833


Jebeile, Julie; Crucifix, Michel (2021). Value management and model pluralism in climate science. Studies in history and philosophy of science, 88, pp. 120-127. Elsevier 10.1016/j.shpsa.2021.06.004

Jebeile, Julie (2021). Objectivité du GIEC. In: Vincent, Israel-Jost (ed.) Objectivité(s). Science, éthique et société (pp. 127-151). Academia L’Harmattan

Ardourel, Vincent; Jebeile, Julie (2021). Numerical instability and dynamical systems. European journal for philosophy of science, 11(2) Springer 10.1007/s13194-021-00372-7

Jebeile, Julie; Barberousse, Anouk (2021). Model spread and progress in climate modelling. European journal for philosophy of science, 11(3) Springer 10.1007/s13194-021-00387-0

Drouet, Isabelle; Andler, Daniel; Barberousse, Anouk; Jebeile, Julie (2021). Expert reports by large multidisciplinary groups: the case of the International Panel on Climate Change. Synthese, 199(5-6), pp. 14491-14508. Springer 10.1007/s11229-021-03430-y


Jebeile, Julie; Crucifix, Michel (2020). Multi-model ensembles in climate science: mathematical structures and expert judgements. Studies in history and philosophy of science, 83, pp. 44-52. Elsevier 10.1016/j.shpsa.2020.03.001

Jebeile, Julie; Lam, Vincent; Raez, Tim (21 August 2020). The Impact of Statistics and Machine Learning on Understanding in Climate Modelling (Unpublished). In: Data Science in Climate and Climate Impact Research. Conceptual Issues, Challenges, and Opportunities. ETHZ (online). 20. - 21.08.2020.

Jebeile, Julie; Lam, Vincent; Räz, Tim (2020). Understanding climate change with statistical downscaling and machine learning. Synthese, 199(1-2), pp. 1877-1897. Springer Netherlands 10.1007/s11229-020-02865-z

Jebeile, Julie (2020). Values and objectivity in the Intergovernmental Panel on Climate Change. Social epistemology : a journal of knowledge, culture and policy, 34(5), pp. 453-468. Taylor & Francis 10.1080/02691728.2020.1779380

Jebeile, Julie (2020). The Kac ring or the art of making idealisations. Foundations of physics, 50(10), pp. 1152-1170. Springer 10.1007/s10701-020-00373-1


Jebeile, Julie; Ardourel, Vincent (2019). Verification and Validation of simulations against holism. Minds and machines, 29(1), pp. 149-168. Springer 10.1007/s11023-019-09493-8

Barberousse, Anouk; Jebeile, Julie (2019). How do the validations of simulations and experiments compare? In: Beisbart, Claus; Saam, Nicole J. (eds.) Computer Simulation Validation - Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Simulation Foundations, Methods and Applications (pp. 925-942). Cham: Springer 10.1007/978-3-319-70766-2_38

Jebeile, Julie (2019). Épistémologie des modèles et des simulations numériques. De la représentation à la compréhension scientifique. CNRS Alpha. Paris: CNRS Editions

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