Resumo
Computational archaeology is a well-established discipline, with organisations such as Computer Applications and Quantitative Methods in Archaeology (CAA, https://caa-international.org/) going back for 50 years. In addition, the practice of archaeology demands an ever-increasing range of digital and computational skills in data processing, modelling and visual techniques. However, the skills and knowledge that archaeologists need to become proficient researchers or practitioners are rarely taught systematically. For this reason, and with the full support of CAA, we propose the Computational Archaeology Lab (CAL), a yearly 5-day event aiming at teaching the fundamentals of computational archaeology to PhD students and other early-career researchers. This event, starting in 2023, will take place the week after the CAA conference every year, reaching a global community over time.Attendees to the CAL will learn contents and skills about these topics: A. Data: analysis, handling, databases, LOD, semantic web, mining, AI, stats. B. Modelling: agents, GIS (advanced), conceptual, networks. C. Visual: data visualisation, remote sensing, 3D reconstruction, virtual reality, augmented reality, CAD/BIM, LiDAR, RTI, media, archaeogaming, photogrammetry.
Palabras chave
Arqueología computacional. Formación. Educación.
Modo de financiamento
Auto e público non competitivo
Subliñas de investigación
Tecnoloxías Semánticas para Patrimonio Cultural
Colabora
Computer Applications and Quantitative Methods in Archaeology
Vrije University of Amsterdam