Japan Geoscience Union Meeting 2018

Presentation information

[EE] Oral

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

[M-GI23] Open Science as a New Paradigm: Research Data Sharing, Infrastructure, Scientific Communications, and Beyond

Wed. May 23, 2018 1:45 PM - 3:15 PM 103 (1F International Conference Hall, Makuhari Messe)

convener:Yasuhiro Murayama(Strategic Program Produce Office, National Institute of Information and Communications Technology), Yasuhisa Kondo(Research Institute for Humanity and Nature), Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University, 共同), Sean Toczko(Japan Agency for Marine-Earth Science and Technology), Chairperson:Cecconi Baptiste(LESIA - Observatoire de Paris), Toczko Sean(JAMSTEC)

1:45 PM - 2:00 PM

[MGI23-01] Open team science: A new team-based research methodology for socio-environmental cases in the open science era

*Yasuhisa Kondo1, Ge Wang2, Ui Ikeuchi3, Kei Kano4, Terukazu Kumazawa1, Ken'ichiro Nakashima5, Hideyuki Onishi6, Takeshi Osawa7, Tatsuki Sekino1 (1.Research Institute for Humanity and Nature, 2.Japan Science and Technology Agency, 3.University of Tsukuba, 4.Shiga University, 5.Hiroshima University, 6.Doshisha Women's College of Liberal Arts, 7.Tokyo Metropolitan University)

Keywords: Open Science, Transdisciplinary research, Team science, Socio-environmental cases, Stewardship

This paper presents a methodological hypothesis of open team science as a new research paradigm created by integrating transdisciplinary team science and open science theories.

Social issues caused by environmental degradations are usually so complex that solution-oriented research is always team-based and involves research experts from different domains in interdisciplinary (ID) projects (Repko & Szostack 2017), as well as practitioners such as government functionaries, funders, industries, non-profit organizations, and civil members in transdisciplinary (TD) projects (Hadorn et al. eds. 2007). Such team science is often disrupted by information asymmetry (in which one party has relevant information, whereas the others do not; see Akerlof 1970) between participants as actors with different values, knowledge, and socioeconomic status. This asymmetry leads to different understandings of focal issues and other actors.

In our working hypothesis, information asymmetry can be reduced through a combination of (1) diversion, an adaptive governance approach to transform the source of existing conflicts or obstacles among actors, by exploring a common goal to tackle together; (2) participation and empowerment of marginalized (or “small voice”) actors; (3) fair data visualization; and (4) dialogue. These approaches work to reduce the domination of dominant actors (i.e., decision makers).

As an example of the holistic approach to diversion, the switched explanation in which results are explained by counterpart experts is applied to ID projects. Civic tech, a participatory co-production of solutions for local issues by self-motivated civic engineers using information and communication technologies and open data (Boehner & DiSalvo 2016), is applied as appropriate to the TD cases. The FAIR data principles (findable, accessible, interoperable, and reusable; see Wilkinson et al. 2016) are introduced to encourage researchers to provide their data to the public in case they are reluctant to follow the open data license in sensu stricto, by which “anyone can freely access, use, modify, and share for any purpose” (Open Knowledge International 2015).
This working hypothesis is tested on issue-driven ID and TD projects of the Research Institute for Humanity and Nature. Subsequently, the effect of information asymmetry reduction is assessed in terms of the project’s performance and participants’ perceptual transformation through participatory observation, semi-structured interviews, and periodical questionnaire surveys.