Publication2025
Contribution of AI to environmental sustainability governance in India and Peru: a comparative study
- Climate Action
- Life on Land
- Partnerships for the Goals
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- International — held abroad
- Journal
- Revista Oficial Del Poder Judicial
- Volume
- 17
- Issue
- 23
- Pages
- 83-112
- Published
- 1 January 2025
- DOI
- 10.35292/ropj.v17i23.1138
- Scopus ID
- 105021216884
- ISSN
- 19976682
- Authors
- 3
- Open access
- Yes
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- IN, PE
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
13 Take urgent action to combat climate change and its impacts
Comparative analysis of AI applications for environmental sustainability governance including energy transition, natural resource management, disaster prediction, and biodiversity monitoring.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Discusses AI-enabled species identification and biodiversity conservation monitoring as part of sustainable development governance.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 13 label. Comparative analysis of AI applications for environmental sustainability governance including energy transition, natural resource management, disaster prediction, and biodiversity monitoring.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Contribution of AI to environmental sustainability governance in India and Peru: a comparative study”. Kortex.