Abstract
This paper addresses the important question of how research can support the implementation of the United Nations 17 sustainable development goals (SDGs) set out in the 2030 agenda. Much attention on this topic has so far coalesced around understanding and measuring possible synergies and trade-offs that emerge in the SDGs. We contribute to this discussion by arguing that it is necessary to move towards a focus on how SDGs are enabling transformative change. A conceptual approach is presented based on the notion that research should build bridges across three types of SDGs: ones that reflect socio-technical system change, directionality, and framework conditions. This proposition is explored empirically through a case study of Mexican scientific knowledge production using methods from bibliometric and social network analysis. Our results can help to provide a diagnostic of how knowledge production is contributing to the SDGs and can be used in science, technology and innovation policy, in particular transformative innovation policy.
| Original language | English |
|---|---|
| Article number | 104589 |
| Pages (from-to) | 1-18 |
| Number of pages | 18 |
| Journal | Research Policy |
| Volume | 51 |
| Issue number | 10 |
| Early online date | Jul 2022 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Funding
We appreciate the support of the Mexican British Council, CONACYT (Mexican Science and Technology Agency) and the Transformative Innovation Policy Consortium for their funding that made this research possible. Many thanks also to the editors and reviewers of the SPRU working paper series for earlier drafts of this paper. We are also indebted to Gaston Heimeriks for his useful feedback.
| Funders |
|---|
| Mexican British Council |
| CONACYT (Mexican Science and Technology Agency) |
| Transformative Innovation Policy Consortium |
Keywords
- Sustainable Development Goals
- Mexico
- Social network analysis
- Transformative innovation
- Co-bibliography
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