JULIE JEBEILE
Biographic Data
| ID | 5722836 |
|---|---|
| NAME | JULIE JEBEILE |
| GIVEN NAMES | JULIE |
| FAMILY NAME | JEBEILE |
| SIGNATURE | JEBEILE J |
| AFFILIATIONS | University of Bern |
| ORCID | 0000-0002-7164-5848 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 22 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 4 |
Usability of climate information
Climate science is expected to provide usable information to policy‐makers, to support the resolution of climate change. The complex, multiply connected nature of climate change as a social problem is reviewed and contrasted with current modular and discipline‐bounded approaches in climate science. We argue that climate science retains much of its initial “physics‐first” orientation, and that it adheres to a problematic notion of objectivity as f…
Expert judgment in climate science
Like any science marked by high uncertainty, climate science is characterized by a widespread use of expert judgment. In this paper, we first show that, in climate science, expert judgment is used to overcome uncertainty, thus playing a crucial role in the domain and even at times supplanting models. One is left to wonder to what extent it is legitimate to assign expert judgment such a status as an epistemic superiority in the climate context, es…
Expert reports by large multidisciplinary groups
Understanding climate change with statistical downscaling and machine learning
Value management and model pluralism in climate science
Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed "epistemic inequality": this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of over…
Values and Objectivity in the Intergovernmental Panel on Climate Change
The assessments issued by the Intergovernmental Panel on Climate Change (IPCC) aim to provide policy-makers with an objective source of information about the various causes of climate change, the projected consequences for the environment and human affairs, and the options for adaptation and mitigation. But what, in this context, is meant by ‘objective’? In practice, in an effort to address internal and external criticisms, the IPCC has regularly…
Multi-model ensembles in climate science
Empirical agreement in model validation
Les simulations sont-elles des expériences numériques
Certains philosophes ont défendu qu’une analogie existait entre simulations et expériences. Mais, une fois que l’on a reconnu quelques similitudes entre elles, peut-on réellement conclure qu’en vertu de celles-ci les simulations produisent de nouvelles connaissances empiriques comme les expériences? Je soutiens que ces similitudes donnent tout au plus à l’utilisateur d’une simulation l’illusion qu’il a affaire à une expérience, mais ne peuvent fo…
Usability of climate information
Climate science is expected to provide usable information to policy‐makers, to support the resolution of climate change. The complex, multiply connected nature of climate change as a social problem is reviewed and contrasted with current modular and discipline‐bounded approaches in climate science. We argue that climate science retains much of its initial “physics‐first” orientation, and that it adheres to a problematic notion of objectivity as f…
Understanding climate change with statistical downscaling and machine learning
Value management and model pluralism in climate science
Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed "epistemic inequality": this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of over…
Multi-model ensembles in climate science
Expert judgment in climate science
Like any science marked by high uncertainty, climate science is characterized by a widespread use of expert judgment. In this paper, we first show that, in climate science, expert judgment is used to overcome uncertainty, thus playing a crucial role in the domain and even at times supplanting models. One is left to wonder to what extent it is legitimate to assign expert judgment such a status as an epistemic superiority in the climate context, es…
Expert reports by large multidisciplinary groups
Empirical agreement in model validation
Empirical agreement in model validation
Les simulations sont-elles des expériences numériques
Certains philosophes ont défendu qu’une analogie existait entre simulations et expériences. Mais, une fois que l’on a reconnu quelques similitudes entre elles, peut-on réellement conclure qu’en vertu de celles-ci les simulations produisent de nouvelles connaissances empiriques comme les expériences? Je soutiens que ces similitudes donnent tout au plus à l’utilisateur d’une simulation l’illusion qu’il a affaire à une expérience, mais ne peuvent fo…
Values and Objectivity in the Intergovernmental Panel on Climate Change
The assessments issued by the Intergovernmental Panel on Climate Change (IPCC) aim to provide policy-makers with an objective source of information about the various causes of climate change, the projected consequences for the environment and human affairs, and the options for adaptation and mitigation. But what, in this context, is meant by ‘objective’? In practice, in an effort to address internal and external criticisms, the IPCC has regularly…
Multi-model ensembles in climate science
Expert reports by large multidisciplinary groups
Understanding climate change with statistical downscaling and machine learning
Value management and model pluralism in climate science
Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed "epistemic inequality": this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of over…
Usability of climate information
Climate science is expected to provide usable information to policy‐makers, to support the resolution of climate change. The complex, multiply connected nature of climate change as a social problem is reviewed and contrasted with current modular and discipline‐bounded approaches in climate science. We argue that climate science retains much of its initial “physics‐first” orientation, and that it adheres to a problematic notion of objectivity as f…
Expert judgment in climate science
Like any science marked by high uncertainty, climate science is characterized by a widespread use of expert judgment. In this paper, we first show that, in climate science, expert judgment is used to overcome uncertainty, thus playing a crucial role in the domain and even at times supplanting models. One is left to wonder to what extent it is legitimate to assign expert judgment such a status as an epistemic superiority in the climate context, es…
Computer Science (8 works) · Climate change (7 works) · Epistemology (7 works) · Philosophy (6 works) · Climate Change Communication and Perception (5 works) · Climate science (4 works) · Philosophy (4 works) · Political science (4 works) · Sustainability and Climate Change Governance (4 works) · Ecology (3 works)