Sabina Leonelli is Professor in Philosophy and History of Science at the University of Exeter, UK, and a Turing Fellow at the Turing Institute for data science and artificial intelligence in London. She serves as the Director of the Exeter Centre for the Study of the Life Sciences and leads the Data Studies strand of the Institute for Data Science and Artificial Intelligence. Her research concerns the philosophy, history and sociology of data-intensive science, especially the research processes, scientific outputs and social embedding of Open Data and Big Data, with a specific focus on the plant and agricultural sciences. She published widely in the history, philosophy and social studies of science, as well biology and data science; and among her books are the award-winning Data-Centric Biology: A Philosophical Study (2016, Chicago University Press), the edited volume Data Journeys in the Sciences (2020, Springer; with Niccolò Tempini), and Data and Society: A Critical Introduction (2021, SAGE; with Anne Beaulieu). Her qualifications include a Ph D in the history and philosophy of science from the Vrije Universiteit in Amsterdam, a MSc in History and Philosophy of Science from the London School of Economics and a BSc (Honours) in History, Philosophy and Social Studies of Science from University College London.
Hugh Williamson is Research Fellow in the Department of Sociology, Philosophy and Anthropology at the University of Exeter, UK, where he is working on the Alan Turing Institute-funded project ‘From Field Data to Global Indicators:Towards a Framework for Intelligent Plant Data Linkage.’ Working between the fields of science and technology studies and political anthropology, he has conducted research on agroecological conservation and rural development in Romania as well as on global data linkage in the plant and agricultural sciences. He holds an MRes and Ph D in Social Anthropology from the University of Cambridge.
1 Ebook di Hugh F. Williamson
Sabina Leonelli & Hugh F. Williamson: Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to en …
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