Japan Geoscience Union Meeting 2021

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[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI31] Open and FAIR Science: Data Sharing, e-Infrastructure, Data Citation and Reproducibility

Thu. Jun 3, 2021 3:30 PM - 5:00 PM Ch.03 (Zoom Room 03)

convener:Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University), Yasuhiro Murayama(Strategic Program Produce Office, National Institute of Information and Communications Technology), Yasuhisa Kondo(Research Institute for Humanity and Nature), Shelley Stall(American Geophysical Union), Chairperson:Shelley Stall(American Geophysical Union), Yasuhiro Murayama(NICT Knowldge Hub, National Institute of Information and Communications Technology)

4:45 PM - 5:00 PM

[MGI31-12] Lessons learned from interdisciplinary research between social and natural sciences

*Yasuhisa Kondo1 (1.Research Institute for Humanity and Nature)

Keywords:Interdisciplinary research, perceptual gaps, open scientific knowledge production system

The field of geoscience presents numerous opportunities to conduct interdisciplinary research collaborations with the humanities and social sciences, particularly to address socio-environmental issues. However, gaps in research mindsets may disturb the effective sharing of data and knowledge among collaborators. In-project action research was conducted to understand how perceptual gaps occur and find solutions. It consisted of participatory observations, questionnaire surveys, and semi-structured interviews in several interdisciplinary projects, including the Historical Climate Adaptation Project of the Research Institute for Humanity and Nature and the KAKENHI PaleoAsia project, comprising social sciences (such as archaeology, history, and cultural anthropology) and geosciences (e.g., paleoclimatology and geochronology). This paper presents lessons learned from this action research from the perspective of open scientific knowledge production systems and discusses the resolution of gaps between different research mindsets and values.