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Participatory and transdisciplinary aspects of open sciece


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Slide presented at the ICSU-WDS Asia-Oceania Conference 2017

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Participatory and transdisciplinary aspects of open sciece

  1. 1. Exploring further than open science Participatory and transdisciplinary aspects of open science Yasuhisa Kondo Asia Oceania Conference 2017 Session 4: Open Data and Open Science Kyoto University, September 29, 2017
  2. 2. 2 Convergence to Open Science 2017/5/23 JpGU 2017 2 Open Science Open Data Open access Citizen science, crowd funding Research data, Data publication, Data repository Collaboration, Open innovation Open peer-review Reproducibility, transparency, conservation trans-disciplinary research Participation Transparency Collaboration Sharing Meta Research (Research on Research) (Kitamoto 2017)
  3. 3. Participatory Research promotes Citizen Science Galaxy Zoo 3
  4. 4. Participatory Research promotes Citizen Science “Transcription by Everyone” 4
  5. 5. Participatory Research promotes Citizen Science Reconstruction of Thirty-thousand-years-ago Sea-crossing Project 5
  6. 6. Typology of research in terms of integration of different disciplines 6 Intradisciplinary research Interdisciplinary research Multidisciplinary research Transdisciplinary research (Hadorn et al. eds. 2007)
  7. 7. Typology of research in terms of non-academic participation (Mauser et al. 2013 7
  8. 8. Transdisciplinary Research “Science with Society” • Co-design of research agenda • Co-production of knowledge • Co-dissemination of the results with societal stakeholders (actors) such as governmental agencies, funders, industries, NPOs and civil society (Mauser et al. 2013 Transdisciplinary research is always a team science, targeting a real world problem, and should ideally be a participatory action research. (Hadorn et al. eds. 2007; Lang et al. 2012 8
  9. 9. Data, Information, Knowledge and Wisdom 9(Bellinger et al. 2004 Data Information Knowledge Wisdom Undertanding Connectedness Understand Relations “what, who, when, where” Understand Patterns “how” Understand Principles “why”
  10. 10. Fairly visualize knowledge Have an equal dialogue Set a common overall goal Socio- economic status & power Socio- economic status & power Local Actors Actors who need solution Bridging Agents Actors who facilitate mutual understanding of local agents and external collaborators Solution | Wisdom Value & Thought Knowledge & Technology Value & Thought Spin-off projects Knowledge & Technology Co-production of knowledge through collaborative research External Collaborators Actors who wish to assist solution
  11. 11. Two streams of Open Data 11 Open Government Data Open Research Data Open Governance Open Science Solution to social issues Open Innovation Civic Tech Transdisciplinary Research
  12. 12. FAIR data principle • Findable • Accessible • Interoperable • Reusable 12
  13. 13. Open Government Data are growing 13
  14. 14. Civic Tech and Pro bonos (skilled volunteers) Happy Life Ideathon at RIHN in October 2015 Graphic recording (by S. Wanami) • Individuals with high skills (e.g., ITC, social design) or expert knowledge (e.g., legal, financial) • Not always belonging to local community but highly motivated. • Leading social innovations by using open government data. 14
  15. 15. Integration of Open Governance and Open Science Hinata GIS of Miyazaki Prefecture, Japan, refers to disclosed archaeological datasets 15
  16. 16. Integration of Open Governance and Open Science Community-based project on the waterweed problem in Lake Biwa, Japan 16 Transform the value of waterweed Co-create ideas for business Develop a sustainable business model Local residents in problem Public engagement Supporters Balance the waterweed ecosystem and human well-being Bad smell in summer...Unable to cruise... Solution Scientific Knowledge Civic Tech ⇐ ×
  17. 17. Unconference-style workshops to bridge Open Science and Transdisciplinary theories Karuizawa September 2016 – Kyoto January 2017 17
  18. 18. Bridging Open Science and Transdisciplinary theories: a proposal Open Scientific Knowledge ✅ Open Research Data ✅ Open Access ➖ Transparency Engaging societies to scientists ✅ Citizen Science ✅ Civic Tech ➖ Crowdfunding Real world problem Team-based approach Solution! Transdisciplinarity = FAIR data principle Visualization Translation Participation & Empowerment Mutual Learning Translation Developing methods for evaluation Outcome Resources Information Visualization Translation Feedback Knowledge production Action Input Output Networking = KAN Mut. Learn. Translation Information Visualization Translation Open Science Developing ethical framework Thank you! Yasuhisa Kondo