front cover of Data-Centric Biology
Data-Centric Biology
A Philosophical Study
Sabina Leonelli
University of Chicago Press, 2016
In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and biomedical fields, leading to a data-intensive approach to research that uses innovative methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications of these advancements and confronts the questions they pose. Are we witnessing the rise of an entirely new scientific epistemology? If so, how does that alter the way we study and understand life—including ourselves?

 Leonelli is the first scholar to use a study of contemporary data-intensive science to provide a philosophical analysis of the epistemology of data. In analyzing the rise, internal dynamics, and potential impact of data-centric biology, she draws on scholarship across diverse fields of science and the humanities—as well as her own original empirical material—to pinpoint the conditions under which digitally available data can further our understanding of life. Bridging the divide between historians, sociologists, and philosophers of science, Data-Centric Biology offers a nuanced account of an issue that is of fundamental importance to our understanding of contemporary scientific practices.
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front cover of Scientific Understanding
Scientific Understanding
Philosophical Perspectives
Henk W. de Regt
University of Pittsburgh Press, 2009
To most scientists, and to those interested in the sciences, understanding is the ultimate aim of scientific endeavor. In spite of this, understanding, and how it is achieved, has received little attention in recent philosophy of science. Scientific Understanding seeks to reverse this trend by providing original and in-depth accounts of the concept of understanding and its essential role in the scientific process. To this end, the chapters in this volume explore and develop three key topics: understanding and explanation, understanding and models, and understanding in scientific practice.

Earlier philosophers, such as Carl Hempel, dismissed understanding as subjective and pragmatic. They believed that the essence of science was to be found in scientific theories and explanations. In Scientific Understanding, the contributors maintain that we must also consider the relation between explanations and the scientists who construct and use them. They focus on understanding as the cognitive state that is a goal of explanation and on the understanding of theories and models as a means to this end.

The chapters in this book highlight the multifaceted nature of the process of scientific research. The contributors examine current uses of theory, models, simulations, and experiments to evaluate the degree to which these elements contribute to understanding. Their analyses pay due attention to the roles of intelligibility, tacit knowledge, and feelings of understanding. Furthermore, they investigate how understanding is obtained within diverse scientific disciplines and examine how the acquisition of understanding depends on specific contexts, the objects of study, and the stated aims of research.
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