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Science In The World of Big Data w/ Sabina Leonelli
Hello, everybody! We start the week with an interview with Dr. Sabina Leonelli. She is Professor of Philosophy and History of Science at the University of Exeter. She pursues an approach to philosophy of science that is grounded on the empirical study of scientific practices, as informed by historical research, ethnographic methods used in the social and anthropological studies of science and technology, and collaboration with practicing scientists. She has a strong interest in topics like Data-Intensive Science and Practices of Data Sharing and Re-Use, Open Science and Open Data, Bio-Ontologies, and Historic and Epistemic Status of Model Organism Research. She’s the author of Data-Centric Biology: A Philosophical Study, and “La ricerca scientifica nell’era dei Big Data” (“Scientific Research in the Era of Big Data”).
Hello, everybody! We start the week with an interview with Dr. Sabina Leonelli. She is Professor of Philosophy and History of Science at the University of Exeter. She pursues an approach to philosophy of science that is grounded on the empirical study of scientific practices, as informed by historical research, ethnographic methods used in the social and anthropological studies of science and technology, and collaboration with practicing scientists. She has a strong interest in topics like Data-Intensive Science and Practices of Data Sharing and Re-Use, Open Science and Open Data, Bio-Ontologies, and Historic and Epistemic Status of Model Organism Research. She’s the author of Data-Centric Biology: A Philosophical Study, and “La ricerca scientifica nell’era dei Big Data” (“Scientific Research in the Era of Big Data”).
In this episode, we talk about science and Big Data, based mostly on Dr. Leonelli’s book, Data-Centric Biology. We discuss the relationship between data and science; data classification; bio-ontologies; what are curators, their role, and their relationship with scientists and researchers. We also talk about the processes of decontextualizing and recontextualizing data, and data travels; and how political and financial powers might interfere with the production of scientific knowledge. Toward the end, we also talk about the role that model organisms have played in Biology, and the potential of synthetic biology.
https://youtu.be/umJEkz6qaLY
Link to podcast version (Anchor): http://bit.ly/33JrcsT
https://youtu.be/umJEkz6qaLY
Link to podcast version (Anchor): http://bit.ly/33JrcsT
