"Pace Science:Data, Acceleration, Duration"

The handling and management of time is a crucial aspect of research environments and of expectations around the processes and outputs of scientific research, including how scientific evidence is marshalled in trials and policy-making. And yet discussions of the garnering of evidence and data sharing tend to forgo the temporal aspect in favour of static requirements and time-independent guidance on best practice. This workshop highlights and critically examines assumptions and implications of focusing on research as a historical process, whose various stages inhabit different temporal expectations from researchers, funders, governments, regulatory agencies, and relevant publics. In particular, we focus on situations where the temporality associated with research environments—for a variety of reasons ranging from material infrastructures to interpretations of value and efficiency— varies substantially, to the point of making research carried out under different temporal regimes practically incommensurable (e.g. data collection in the qualitative social sciences versus genomics; management of evidence in publicly funded versus commercial research; data sharing in developed and developing countries). Through this we will be able to understanding the demands and limitations raised by the increasing uses of controlled trials and other forms of evidencing across diverse settings.