Today, the most prestigious work in the life sciences is data-intensive research. Data is generated by high-throughput technologies, such as DNA sequencing, that can perform many measurements in parallel and in a short time. This lecture addresses this mode of data production in terms of research cultures. It begins by revisiting the history of genomics, the study of human and non-human DNA, and sketching its conceptual and material genealogies with respect to automation, the scaling-up of procedures, division of labor, and data management. The lecture then directs attention to high-throughput approaches in other areas of the life sciences to see how genomics and fields such as protein research influenced each other in these respects. After briefly discussing the virtues of conceptualizing science in terms of culture, the lecture will commence by analyzing the similarities and differences between various high-throughput research cultures. In addition, the consequences of the prominence of such approaches for biology and biomedicine will be discussed, especially with respect to the storage and use of data and its relation to data cultures beyond the realm of science.

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THE LECTURE WILL BE HYBRID.

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