New archaeology tranche for Emergent Ventures (marginalrevolution.com)

🤖 AI Summary
Emergent Ventures has opened a dedicated archaeology tranche: small, flexible grants targeted at tech-enabled projects that apply AI, computer vision, lidar, synthetic aperture radar, hyperspectral imagery, improved ground-penetrating radar, and open-source data to archaeological problems. Applicants should apply through the normal EV site and mark their project description with “archaeology” for now (a formal category will appear soon). Funding is intentionally permissive on cost and duration and welcomes all backgrounds—grad students, software engineers taking sabbaticals, high‑schoolers, side projects—while Mehran Jalali (a prior EV awardee) will serve as a referee and Yonatan Ben Shimon is supporting the tranche. This tranche is significant because it explicitly channels rapid ML and remote‑sensing advances into cultural heritage and field archaeology, encouraging digital preservation (OCR/transcription of cuneiform, Maya glyphs, bamboo slips, silk manuscripts), mass translation of obscure languages, and large‑scale site discovery using aerial/satellite imagery and lidar. Key technical implications include the need for domain‑specific training data, multimodal sensor fusion (RGB, lidar, SAR, hyperspectral), improved GPR inversion models, annotation and open‑sourcing pipelines, and work on low-resource language translation and decipherment. By loosening eligibility and funding constraints, EV aims to accelerate interdisciplinary tools that scale discovery, authentication, and open access to fragile archaeological records.
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