The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Achieving the Sustainable Development Goals Requires Transdisciplinary Innovation at the Local Scale
Open accessAbstract
Summary The diversity of local conditions across regions has led to numerous challenges and opportunities for the implementation of global sustainability frameworks such as the Sustainable Development Goals. A grassroots transformative change led by local communities, cities, and businesses can offer a promising approach for achieving sustainability, tailored to the unique conditions of each context. Drawing on a systematic review of scientific and policy experiences, we explore some of the major challenges in local sustainability such as disagreements on local priorities, competing interests among various cohorts of stakeholders, and the risks posed by future uncertainties. We propose a transdisciplinary agenda based on the effective integration of computational approaches with genuine stakeholder engagement to mitigate these challenges. The proposed agenda is crucial for mobilizing collaborative efforts that enhance co-learning between scientists and stakeholders in the pursuit of sustainability across scales.
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Cited by
Exploratory modeling for analyzing coupled human-natural systems under uncertainty
Moallemi, E. A., Kwakkel, J., de Haan, F. J., & Bryan, B. A. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102186 · Cited by 130
Self-citationAsiimwe, F. M. (2025) · East African Journal of Business and Economics · doi:10.37284/eajbe.8.1.2819 · Cited by 1
Metadata
- Authors
- Moallemi, E. A., Malekpour, S., Hadjikakou, M., Raven, R., Szetey, K., Ningrum, D., Dhiaulhaq, A., & Bryan, B. A.
- Venue
- One Earth
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 3
- Issue
- 3
- Pages
- 300-313
- ISSN
- 2590-3322 (ISSN-L)
- OpenAlex
- W3087538190
- Cited by
- 312
- References
- 60
- FWCI
- 9.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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