The Digitalization Sustainability Matrix: A Participatory Research Tool for Investigating Digitainability

Shivam Gupta, Mahsa Motlagh and Jakob Rhyner
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Shivam Gupta: Bonn Alliance for Sustainability Research/Innovation Campus Bonn (ICB), University of Bonn, D-53113 Bonn, Germany
Mahsa Motlagh: Bonn Alliance for Sustainability Research/Innovation Campus Bonn (ICB), University of Bonn, D-53113 Bonn, Germany
Jakob Rhyner: Bonn Alliance for Sustainability Research/Innovation Campus Bonn (ICB), University of Bonn, D-53113 Bonn, Germany

Sustainability, 2020, vol. 12, issue 21, 1-27

Abstract: Rapidly increasing applications of Digitalization and Artificial Intelligence (D&AI) are already impacting our day-to-day life substantially, along with social and economic prospects worldwide. The accelerating utilization of D&AI has stirred the discussion concerning the responsible application of technologies for assisting the implementation of the Sustainable Development Goals (SDGs). D&AI can raise productivity, lower costs, reduce resource intensity, and enable efficient public services. However, there are also risks and downsides that we all must identify and tackle to address any potential short-/long-term undesired impact. Notably, there exists a gap in knowledge about the mutual relationships between D&AI and the 17 SDGs. To address this gap and gather broader perspectives of experts on the potential uses and pitfalls of D&AI for SDGs and their respective indicators, we propose a participatory research approach: the Digitalization–Sustainability Matrix (DSM). The DSM serves as a means for collaborative methods, such as participatory action research (PAR), for the knowledge production process. We exercised the DSM in the Digitainable Thinkathon event, a gathering of experts from diverse sectors and backgrounds for capturing the action-oriented dialogues concerning the use of D&AI technologies for the indicators of SDGs 4 (Education) and 13 (Climate Action). As a tool, the DSM aided in the discussion by systematically capturing transdisciplinary knowledge generated on several aspects, such as: (1) the need for research–practice nexus action; (2) data-capturing efforts and social considerations; (3) collaborative planning for utilizing the power of D&AI; (4) lessons from the diverse community to encourage the purposeful use of technologies. Overall, the proposed approach effectively triggered a discussion on the crucial aspects that need to be considered for D&AI’s practices, a step towards deep-rooting the transdisciplinary perspectives for meaningful use of D&AI for SDGs.

Keywords: digitalization; artificial intelligence; SDGs; SDG indicators; participatory tools; digitainability; SDG 4; SDG 13 (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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