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Ontology-Based Interaction Design for Social-Ecological Systems Research

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Research Challenges in Information Science (RCIS 2024)

Abstract

Contemporary social-ecological systems (SESs) research that supports policy and decision-making to tackle sustainability issues requires interdisciplinary and often multistakeholder synergy. Various frameworks have been developed to describe and understand SESs, each producing different kinds of data and knowledge. The resultant lack of interoperability spurred our development of an ontologically grounded SESs integrated conceptual model. This paper explores the deployment of that model and describes techniques for ontology-based interaction design to clarify notions, align perspectives, negotiate terminologies and semantics in inter- and transdisciplinary collaboration settings. We offer examples of interaction scripts that utilise ontologies, discursive artefacts, game and play methods, and report on an exploratory workshop playtest which provided preliminary evidence of the potentials for ontology-based participatory sense-making for knowledge co-production.

M. Willis—Independent researcher.

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References

  1. Adamo, G., Willis, M.: Conceptual integration for social-ecological systems. In: Guizzardi, R., Ralyté, J., Franch, X. (eds.) Research Challenges in Information Science. RCIS 2022. LNBIP, vol. 446, pp. 321–337. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05760-1_19

  2. Adamo, G., Willis, M.: The omnipresent role of technology in social-ecological systems: ontological discussion and updated integrated framework. In: Nurcan, S., Opdahl, A.L., Mouratidis, H., Tsohou, A. (eds.) Research Challenges in Information Science: Information Science and the Connected World. RCIS 2023. LNBIP, vol. 476, pp. 87–102. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-33080-3_6

  3. Biggs, R., De Vos, A., Preiser, R., Clements, H., Maciejewski, K., Schlüter, M.: The Routledge Handbook of Research Methods for Social-ecological Systems. Taylor & Francis (2021)

    Google Scholar 

  4. Binder, C.R., Hinkel, J., Bots, P.W., Pahl-Wostl, C.: Comparison of frameworks for analyzing social-ecological systems. Ecol. Soc. 18(4), 1–20 (2013)

    Article  Google Scholar 

  5. Borgo, S., et al.: DOLCE: a descriptive ontology for linguistic and cognitive engineering. CoRR abs/2308.01597 (2023)

    Google Scholar 

  6. Colding, J., Barthel, S.: Exploring the social-ecological systems discourse 20 years later. Ecol. Soc. 24(1), 1–10 (2019)

    Article  Google Scholar 

  7. De Jaegher, H., Di Paolo, E.: Participatory sense-making: an enactive approach to social cognition. Phenomenol. Cogn. Sci. 6, 485–507 (2007)

    Article  Google Scholar 

  8. Guizzardi, G., Benevides, A.B., Fonseca, C.M., Porello, D., Almeida, J.P.A., Sales, T.P.: UFO: unified foundational ontology. Appl. Ontol. 17(1), 167–210 (2022)

    Article  Google Scholar 

  9. Hayes, G.R.: The relationship of action research to human-computer interaction. ACM Trans. Comput. Human Interact. (TOCHI) 18(3), 1–20 (2011)

    Article  Google Scholar 

  10. Hovmand, P.S., Andersen, D.F., Rouwette, E., Richardson, G.P., Rux, K., Calhoun, A.: Group model-building ‘scripts’ as a collaborative planning tool. Syst. Res. Behav. Sci. 29(2), 179–193 (2012)

    Article  Google Scholar 

  11. McGinnis, M.D., Ostrom, E.: Social-ecological system framework: initial changes and continuing challenges. Ecol. Soc. 19(2), 1–28 (2014)

    Article  Google Scholar 

  12. Miller, C.A., Wyborn, C.: Co-production in global sustainability: histories and theories. Environ. Sci. Policy 113, 88–95 (2020)

    Article  Google Scholar 

  13. Newell, B.: Simple models, powerful ideas: towards effective integrative practice. Glob. Environ. Chang. 22(3), 776–783 (2012)

    Article  Google Scholar 

  14. Potschin, M., Haines-Young, R., et al.: Defining and measuring ecosystem services. In: Routledge Handbook of Ecosystem Services, pp. 25–44 (2016)

    Google Scholar 

  15. Stahl, G.: Meaning and interpretation in collaboration. In: Wasson, B., Ludvigsen, S., Hoppe, U. (eds.) Designing for Change in Networked Learning Environments. Computer-Supported Collaborative Learning, vol. 2, pp. 523–532. Springer, Dordrecht (2003). https://doi.org/10.1007/978-94-017-0195-2_62

  16. Stenros, J.: In defence of a magic circle: the social, mental and cultural boundaries of play. Trans. Digital Games Res. Assoc. 1(2), 1–39 (2014)

    Google Scholar 

  17. Suchman, L.: Configuration. In: Inventive Methods, pp. 48–60. Routledge (2012)

    Google Scholar 

  18. Voinov, A., et al.: Tools and methods in participatory modeling: Selecting the right tool for the job. Environ. Model. Softw. 109, 232–255 (2018)

    Article  Google Scholar 

  19. Wakkary, R., Odom, W., Hauser, S., Hertz, G., Lin, H.: Material speculation: actual artifacts for critical inquiry. In: 5th Decennial Aarhus Conference on Critical Alternatives August (AA 2015), pp. 97–108. Aarhus University (2016)

    Google Scholar 

  20. Willis, M.: On agonism and design: dialogues between theory and practice. Ph.D. thesis, University of Trento (2019)

    Google Scholar 

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Acknowledgements

This research is supported by the Basque Government IKUR program Supercomputing and Artificial Intelligence (HPC/AI), the María de Maeztu Excellence Unit 2023-2027 (CEX2021-001201-M) funded by MCIN/AEI /10.13039/501100011033. We thank the playtest participants and the RCIS community for their much-appreciated reviews that helped to improve this work.

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Willis, M., Adamo, G. (2024). Ontology-Based Interaction Design for Social-Ecological Systems Research. In: Araújo, J., de la Vara, J.L., Santos, M.Y., Assar, S. (eds) Research Challenges in Information Science. RCIS 2024. Lecture Notes in Business Information Processing, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-59468-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-59468-7_9

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