Michelle J Sims; Radost Stanimirova; Anton Raichuk; Maxim Neumann; Jessica Richter; Forrest Follett; James MacCarthy; Kristine Lister; Christopher Randle; Lindsey Sloat; Elena Esipova; Jaelah Jupiter; Charlotte Stanton; Dan Morris; Christy Melhart Slay; Drew Purves; Nancy Harris · 2025-06-12
This study developed a high-resolution global map using satellite data and a neural network to classify the dominant drivers of forest loss from 2001 to 2022, revealing that permanent agriculture is the leading cause worldwide, and aims to support more effective policy, conservation, and supply chain monitoring at multiple scales.
Michelle J Sims; Radost Stanimirova; Anton Raichuk; Maxim Neumann; Jessica Richter; Forrest Follett; James MacCarthy; Kristine Lister; Christopher Randle; Lindsey Sloat; Elena Esipova; Jaelah Jupiter; Charlotte Stanton; Dan Morris; Christy Melhart Slay; Drew Purves; Nancy Harris. 2025-06-12. Global Drivers of Forest Loss at 1 km Resolution. https://iopscience.iop.org/article/10.1088/1748-9326/add606 (AI & Environment Resource Hub; record paper-310; collection snapshot 2026-09-15).
Classification and context
Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.
Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).
Food and Agriculture Organization of the United Nations (FAO)free
Shared topics: Governance and society; Research tools and geospatial methods; Biodiversity and ecosystems
Trust is a cornerstone and enabler of human civilization, determining the very nature of how people interact with each other. The swift integration of artificial intelligence (AI) into daily life poses grand societal challenges and necessitates a reevaluation of trust. Our bibliometric literature review calls for scientists and stakeholders to cross traditional academic boundaries to address emerging and evolving societal challenges arising from AI. We propose a transdisciplinary research framework to understand and bolster trust in AI and address grand challenges in domains as diverse and urgent as misinformation, discrimination, and warfare.
Humanities and Social Science Communications
Shared topics: Governance and society; Biodiversity and ecosystems; Agriculture and food
A 35-minute documentary by Animal Ethics featuring 16 leading experts on AI and animal advocacy from Princeton, NYU, the London School of Economics, and beyond. The film examines how AI will significantly impact the lives of animals — for better or worse — arguing that animal advocates must act proactively rather than reactively. Topics include AI's role in wildlife monitoring, factory farming, and animal sentience research.
