Liliana Perez, Raja Sengupta. 2024-11-06. Big Data (R)evolution in Geography: Complexity Modelling in the Last Two Decades. https://compass.onlinelibrary.wiley.com/doi/full/10.1111/gec3.70009 (AI & Environment Resource Hub; record paper-017; collection snapshot 2026-09-15).
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Philip Johnston is the co-founder and CEO of Starcloud, the company building data centers in space. In November 2025, Starcloud launched an Nvidia H100 GPU into orbit and trained the first large language model in space. They've since raised $200 million, hit a billion-dollar valuation just 17 months after YC demo day and filed with the FCC to deploy 88,000 more satellites. In this episode, Philip walks us through their wild origin story, the engineering challenges behind the Starcloud-1, why they booked a SpaceX launch before they even knew what they were building and how data centers in space make sense both economically and politically.
Source metadata available
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods
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: Cross-cutting sustainability; Research tools and geospatial methods
This study showcases a machine learning hackathon in France where a CNN-based model accurately predicted flood risk evolution using geospatial and climate data, even without streamflow input, emphasizing trustworthy AI in data-scarce regions.
ICLR
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods
AI enhances precision agriculture through data-driven crop management, irrigation optimization, and pest control, but gaps remain in nutrient management and sensor integration.
