Workshop “Integrated History and Philosophy of Climate Data”
25–27 August 2021, University of Bern, Switzerland
Dania Achermann (Institute of History & Oeschger Centre for Climate Change Research, University of Bern) and Julie Jebeile (Institute of Philosophy & Oeschger Centre for Climate Change Research, University of Bern)
Climate data encompass a broad range of heterogeneous data, from paleoclimate proxies to climate model outputs. In the scientific practice, there are inherent issues of production and use of climate data. In this workshop we will investigate the potentials and limits of Integrated History and Philosophy of Science (IHPS) for analysing climate data production and use.
History of science studies the development of science in its socio-cultural context while philosophy of science aims to reflect, on a normative basis, on the instruments and methods used to produce scientific knowledge. Integrated History and Philosophy of Science (IHPS) contains the idea that history of science and philosophy of science could and should benefit from each other. On the one hand, philosophical concepts of science are used in history of science. Reflecting on these concepts “can elucidate historiographical categories, justify historiographical choices and, thereby, enrich and improve the stories that historians tell about past science as a knowledge-producing enterprise” (Arabatzis 2017: 70). On the other hand, philosophical concepts of science are supposed to apply to practices situated in a social and cultural world. Therefore, they should be elaborated or revised in the light of the socio-cultural contexts that historical studies provide. However, the HSP discussion does rarely leave the disciplinary boundaries of philosophy, and the dialogue across the disciplines is challenged due to diverging goals and understandings of what history or philosophy should achieve.
This workshop therefore wants to bring historians and philosophers interested in climate science into a conversation with each other. Our goal is 1) evaluating how philosophy and history can benefit from each other’s work and approach, and 2) discussing how we can combine our approaches in order to study climate data in an innovative way.
We believe that an integrated history and philosophy of science perspective is particularly relevant to study climate data. Philosophical questions related to data ask to which extent data count as evidence, and how scientists can gain understanding from data models. Historical research shows that the methods, technologies and practices in producing climate data have a history, and how they are shaped by their social, cultural and political contexts. We agree with Leonelli that “thinking about the complex history, processing and use of data can encourage philosophers to avoid ahistorical, uncontextualized approaches to questions of evidence, and instead consider the methods, skills, technologies and practices involved in handling data … as crucial to understanding empirical knowledge-making” (Leonelli 2020). We want to further explore how can historical insights into the role of socio-political agenda, institutions and instruments in scientific research and data production enrich or change epistemological inquiry? And vice-versa, (how) can we make historical studies on climate data richer and more coherent by integrating underlying philosophical concepts? And beyond “enriching” historical research, what new historical questions may be asked when including philosophical considerations?
The workshop is intended as an exploratory and interdisciplinary meeting to bring together historians, philosophers and climate scientists interested in climate data and in discussing the potential and limits of IHPS in this context.
Arabatzis, Theodore 2017. "What's in It for the Historian of Science? Reflections on the Value of Philosophy of Science for History of Science", International Studies in the Philosophy of Science 31: 1. pp. 69-82.
Leonelli, Sabina 2020. "Scientific Research and Big Data", The Stanford Encyclopedia of Philosophy (Summer 2020 edition), Zalta, Edward N. (ed.). https://plato.stanford.edu/archives/sum2020/entries/science-big-data/.