AHP readers may be interested in a new open access monograph, Rethinking Interdisciplinarity across the Social Sciences and Neurosciences. The book is a product of the research collective Hubbub, the inaugural resident of the Wellcome Collection’s interdisciplinary research space The Hub. Written by Felicity Callard and Des Fitzgerald, Rethinking Interdisciplinarity across the Social Sciences and Neurosciences
offers a provocative account of interdisciplinary research across the neurosciences, social sciences and humanities. Setting itself against standard accounts of interdisciplinary ‘integration,’ and rooting itself in the authors’ own experiences, the book establishes a radical agenda for collaboration across these disciplines. Rethinking Interdisciplinarity does not merely advocate interdisciplinary research, but attends to the hitherto tacit pragmatics, affects, power dynamics, and spatial logics in which that research is enfolded. Understanding the complex relationships between brains, minds, and environments requires a delicate, playful and genuinely experimental interdisciplinarity, and this book shows us how it can be done.
The European Research Consortium for Informatics and Mathematics‘ publication ERCIM NEWS put out a special issue on ‘scientific data sharing and re-use.’ In it Christine Borgman (out of UCLA’s department of Information Studies) touches in brief on some of the topics covered in her new volume Big Data, Little Data, No Data: Scholarship in the Networked World (2015, MIT Press).
In her book, Borgman locates data as only meaningful within infrastructures or ecologies of knowledge, and discusses the management and exploitation of data as particular kinds of investments in the future of scholarship. Her take on the history of big data and the growing enthusiasm for data sharing, which she asserts often obscures the challenges and complexities of data stewardship, is relevant to historians of the social sciences. An excerpt:
Data practices are local, varying from field to field, individual to individual, and country to country. Studying data is a means to observe how rapidly the landscape of scholarly work in the sciences, social sciences, and the humanities is changing. Inside the black box of data is a plethora of research, technology, and policy issues. Data are best understood as representations of observations, objects, or other entities used as evidence of phenomena for the purposes of research or scholarship. Rarely do they stand alone, separable from software, protocols, lab and field conditions, and other context. The lack of agreement on what constitutes data underlies the difficulties in sharing, releasing, or reusing research data. Continue reading Issues in Open Scholarship: ‘If Data Sharing is the Answer, What is the Question?’