The nature of today’s most vital challenges and funding policies are driving more and more researchers towards interdisciplinary work. But what are the essential tools for those breaking the silos and leaving the comfort zones of their own disciplines?
Some advice on how to address the particular challenges and opportunities in interdisciplinary research are described in our recent paper “Ten Simple Rules for a Successful Cross-Disciplinary Collaboration” published in the online open access journal PLOS Computational Biology last month. Please find below and abstract of the paper, which has inter alia been discussed and cited by Times Higher Education.
Cross-disciplinary collaborations have become an increasingly important part of science. They are seen as a key factor for finding solutions to pressing societal challenges on a global scale including green technologies, sustainable food production and drug development. This has also been realized by regulators and policy-makers, as it is reflected in the 80 billion Euro “Horizon 2020″ EU Framework Programme for Research and Innovation. This programme puts special emphasis at breaking down barriers between fields to create a path breaking environment for knowledge, research and innovation.
However, igniting and successfully maintaining cross-disciplinary collaborations can be a delicate task. In this article we focus on the specific challenges associated with cross-disciplinary research in particular from the perspective of the theoretician. As research fellows of the 2020 Science project and collaboration partners, we bring broad experience of developing interdisciplinary collaborations [2–12]. We intend this guide for early career computational researchers as well as more senior scientists who are entering a cross disciplinary setting for the first time. We describe the key benefits, as well as some possible pitfalls, arising from collaborations between scientists with backgrounds in very different fields.
Knapp B, Bardenet R, Bernabeu MO, Bordas R, Bruna M, Minssen T, et al. (2015) Ten Simple Rules for a Successful Cross-Disciplinary Collaboration. PLoS Comput Biol 11(4): e1004214. doi:10.1371/journal.pcbi.1004214