CALI and archaeoscape.ai both centre on lidar-based exploration of ancient landscapes in Southeast Asia, with the latter adding deep learning.
ECOLE FRANCAISE D'EXTREME-ORIENT
French research institute specializing in South and Southeast Asian archaeology, epigraphy, and religious history, increasingly using lidar and AI.
Their core work
EFEO is a prestigious French research institution dedicated to the study of Asian civilizations, with deep expertise in the archaeology, epigraphy, languages, and religious traditions of South and Southeast Asia. Their work spans from airborne lidar mapping of ancient urban landscapes (notably Angkor) to philological study of Sanskrit, Tamil, and other classical Asian languages. They combine fieldwork-driven archaeology with advanced remote sensing and, more recently, deep learning to understand how past societies built, adapted, and collapsed across monsoon Asia.
What they specialise in
DHARMA and SHIVADHARMA focus on Sanskrit, Tamil, Kannada, Telugu, Old Javanese, and Khmer textual traditions.
SHIVADHARMA, DHARMA, and CRISEA all address the formation, spread, and transformation of religious and cultural identities across South and Southeast Asia.
archaeoscape.ai (2020) applies neural networks and geomorphometry to archaeological data, signalling a move into computational methods.
CALI investigated engineered water landscapes at Angkor to understand long-term resilience and collapse.
CRISEA studied regional integration in Southeast Asia; DHARMA and related projects employ TEI encoding and digital corpus methods.
How they've shifted over time
Early H2020 work (2015–2017) concentrated on physical landscape archaeology — lidar scanning of Angkor, water management systems, palaeoenvironment, and urbanism. From 2018 onward, the focus shifted decisively toward philology, epigraphy, and the history of religious traditions across South and Southeast Asia, with large ERC grants (DHARMA, SHIVADHARMA) driving this pivot. Most recently, archaeoscape.ai (2020) signals a return to landscape archaeology but now augmented with AI and deep learning, suggesting a convergence of their two strengths.
EFEO is merging its traditional strength in Asian archaeology and philology with computational methods (deep learning, remote sensing), positioning itself as a leader in AI-assisted heritage science for monsoon Asia.
How they like to work
EFEO predominantly leads its projects, serving as coordinator on 3 out of 5 H2020 grants, including both ERC Starting Grants and the latest ERC Consolidator Grant. Their consortia tend to be small and focused — typical of ERC-funded research — rather than large multi-partner collaborative actions. With 15 unique partners across 13 countries, they maintain a broad but selective international network, suggesting they recruit specialist collaborators on a project-by-project basis rather than relying on a fixed set of repeat partners.
EFEO has worked with 15 distinct partners across 13 countries, reflecting a genuinely global research network concentrated in Europe but extending to fieldwork regions in South and Southeast Asia. The diversity of country partnerships relative to the small number of projects indicates an institution that builds wide-reaching, specialist coalitions.
What sets them apart
EFEO occupies a rare niche as possibly the only European institution combining century-long fieldwork presence across Asia with frontier computational archaeology methods. Their dual expertise in classical Asian languages (Sanskrit, Tamil, Khmer, Old Javanese) and advanced remote sensing/AI gives them unmatched capacity for interdisciplinary heritage research. For any consortium needing deep Asia expertise grounded in both humanities and technology, EFEO is a uniquely credible anchor partner.
Highlights from their portfolio
- DHARMALargest grant at EUR 4.4M (ERC Synergy), an ambitious multi-language study of Hindu asceticism and religious identity across South and Southeast Asia — rare scale for a humanities project.
- archaeoscape.aiBridges traditional archaeology with deep learning and neural networks for landscape analysis — signals EFEO's move into AI-assisted heritage science.
- CALIPioneered large-scale lidar mapping of Angkor's engineered landscapes, producing globally cited findings on pre-industrial urbanism and resilience.