Separating natural forests from other tree cover with AI for deforestation-free supply chains – Google Research

Collaborative Research Initiative Advances Sustainable Development Goals

Fostering Global Partnerships for Sustainable Development (SDG 17)

A significant research initiative has been co-developed, demonstrating a powerful multi-sectoral partnership in alignment with Sustainable Development Goal 17 (Partnerships for the Goals). This collaboration brings together expertise from technology, research, and non-governmental sectors to address critical global challenges. The primary collaborating institutions include:

• Google Deepmind
• Google Research
• World Resources Institute (WRI) / Global Forest Watch (GFW)
• International Institute for Applied Systems Analysis (IIASA)

Addressing Climate Action and Life on Land (SDG 13 & SDG 15)

The research directly contributes to the objectives of SDG 13 (Climate Action) and SDG 15 (Life on Land). By developing advanced tools and analysis, likely related to global forest mapping, the project provides essential data for monitoring terrestrial ecosystems, combating deforestation, and halting biodiversity loss. This work is fundamental to creating informed policies for sustainable forest management and climate change mitigation, thereby protecting vital planetary resources for future generations.

Multi-Stakeholder Contributions and Expert Review

The success and scientific integrity of this initiative were bolstered by the contributions of a diverse group of experts. Their collective efforts ensure the project’s outputs are robust, credible, and applicable to real-world conservation and sustainability efforts.

Core Collaboration Team

1. Anton Raichuk
2. Charlotte Stanton
3. Dan Morris
4. Drew Purves
5. Elizabeth Goldman
6. Katelyn Tarrio
7. Keith Anderson
8. Maxim Neumann
9. Mélanie Rey
10. Michelle J. Sims
11. Myroslava Lesiv
12. Nicholas Clinton
13. Petra Poklukar
14. Radost Stanimirova
15. Sarah Carter
16. Steffen Fritz
17. Yuchang Jiang

Expert Review Panel

An early-stage review process was conducted by a panel of specialists from leading international organizations, ensuring the research aligns with global standards and practical applications for sustainable development.

1. Andrew Lister (United States Forest Service)
2. Astrid Verheggen (Joint Research Centre)
3. Clement Bourgoin (Joint Research Centre)
4. Erin Glen (WRI)
5. Frederic Achard (Joint Research Centre)
6. Jonas Fridman (Swedish University of Agricultural Sciences)
7. Jukka Meiteninen (VTT)
8. Karen Saunders (World Wildlife Fund Canada)
9. Louis Reymondin (Alliance Bioversity International – CIAT)
10. Martin Herold (GFZ Helmholtz Centre for Geosciences)
11. Olga Nepomshina (GFZ Helmholtz Centre for Geosciences)
12. Peter Potapov (University of Maryland/WRI)
13. Rene Colditz (Joint Research Centre)
14. Thibaud Vantalon (Alliance Bioversity International – CIAT)
15. Viviana Zalles (WRI)

Sustainable Development Goals (SDGs) Analysis

1. Which SDGs are addressed or connected to the issues highlighted in the article?

• The provided article is an “Acknowledgments” section. It does not discuss or highlight any specific issues, challenges, or outcomes of the research. Therefore, it is not possible to identify any SDGs that are directly addressed or connected to the content of the text.

2. What specific targets under those SDGs can be identified based on the article’s content?

• As no specific SDGs can be identified from the text, no corresponding targets can be identified. The article only lists collaborators and their institutions without detailing the research focus or its relation to SDG targets.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

• The article does not mention or imply any indicators. It is a list of acknowledgments and lacks the substantive data or discussion necessary to infer metrics for measuring progress towards any development goals.

4. Table of SDGs, Targets, and Indicators

Source: research.google