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A theory of change approach to enhance the post-2030 sustainable development agenda.

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Title: A theory of change approach to enhance the post-2030 sustainable development agenda.
Authors: Allen, Cameron (AUTHOR), Malekpour, Shirin (AUTHOR), Weitz, Nina (AUTHOR), Bennich, Therese (AUTHOR), Pedercini, Matteo (AUTHOR), Sagar, Ambuj (AUTHOR), Griggs, David (AUTHOR), Raven, Rob (AUTHOR), Sun, Yixian (AUTHOR), Pradhan, Prajal (AUTHOR), Sénit, Carole-Anne (AUTHOR), Stevance, Ann-Sophie (AUTHOR), Leininger, Julia (AUTHOR), Lafortune, Guillaume (AUTHOR), Llanos, Andrea Ordoñez (AUTHOR), Onoda, Shinji (AUTHOR), Fernando, Gabriela (AUTHOR), Lechner, Alex M. (AUTHOR), Mohan, Avvari V. (AUTHOR), Guan, Ting (AUTHOR)
Source: Science. 1/15/2026, Vol. 391 Issue 6782, p241-244. 4p.
Subjects: Sustainable development, Theory of change, Political psychology, Sustainable Development Goals (United Nations), Public administration, Policy sciences, Evaluation methodology
Abstract: As the 2030 deadline for the Sustainable Development Goals (SDGs) nears and progress remains limited, researchers are proposing measures to enhance the next, post-2030, agenda to improve implementation (1–3). With more proposals expected in future, we argue for a systematic approach to help researchers and policy-makers design and assess them. This requires a theory of change that explains how and why proposals will improve implementation of the next agenda, while also considering their political feasibility. We start by constructing an implicit theory of change underpinning the current 2030 Agenda (4) to revisit how the SDGs were intended to work and identify key successes and failures. We then propose an approach for assessing proposals put forward to improve the post-2030 agenda on the basis of their impact and feasibility. [ABSTRACT FROM AUTHOR]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A theory of change approach to enhance the post-2030 sustainable development agenda.
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  Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 1/15/2026, Vol. 391 Issue 6782, p241-244. 4p.
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  Data: As the 2030 deadline for the Sustainable Development Goals (SDGs) nears and progress remains limited, researchers are proposing measures to enhance the next, post-2030, agenda to improve implementation (1–3). With more proposals expected in future, we argue for a systematic approach to help researchers and policy-makers design and assess them. This requires a theory of change that explains how and why proposals will improve implementation of the next agenda, while also considering their political feasibility. We start by constructing an implicit theory of change underpinning the current 2030 Agenda (4) to revisit how the SDGs were intended to work and identify key successes and failures. We then propose an approach for assessing proposals put forward to improve the post-2030 agenda on the basis of their impact and feasibility. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1126/science.adz5704
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        Text: English
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        Type: general
      – SubjectFull: Theory of change
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      – SubjectFull: Political psychology
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      – SubjectFull: Sustainable Development Goals (United Nations)
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      – SubjectFull: Evaluation methodology
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