Category: Computational Archaeology

Strong presence of the archaeobotany team in the 2nd Meeting of the Archaeobotany in Greece Group!

Today marks the start of the 2nd Meeting of the Archaeobotany in Greece Group (MAGG), an international conference which is taking place in 26-27 January 2023 at the Aristotle University of Thessaloniki. Three GIAP (ICAC) archaobotanists are giving talks on the 27th January, presenting the main results of our ongoing projects: Titles and abstracts: Modern Experimental Cultivations…
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Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes

Today in the afternoon, Hèctor A. Orengo (ICREA research professor) is giving a talk in the conference 3rd International Conference on Geology: Emerging Methods & Applications (GEM-2023). Title: ”Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes”Session: Artificial Intelligence and Machine Learning in Earth Science AbstractThe last few years have seen an…
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Training in algorithms for palaeo-river detection

We are glad to welcome Maria Suárez Moreno, who is visiting us for a week to train in the use of various algorithms for palaeo-river detection, developed by Hèctor A. Orengo (ICREA research professor at ICAC). Among these algorithms, there are the MSRM (Orengo and Petrie 2018), the SMTVI (Orengo and Petrie 2017) and other…
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2 newcomers and an upgrade!

This month, we welcomed 2 new postdoctoral researchers, Drs. Laura Strolin and Faidon Moudopoulos, and we celebrate that Dr. Arnau Garcia-Molsosa started his Ramón y Cajal fellowship with GIAP, after finishing his Beatriu de Pinós-Marie Curie cofund project (also in GIAP, from 2020-2022). Dr. Arnau Garcia-Molsosa Dr. Garcia completed his PhD on the Archaeology of…
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Hèctor A. Orengo appointed ICREA Research Professor

The first of December, Hector A. Orengo, previously a Ramón y Cajal researcher at ICAC, joined the centre as an ICREA Research Professor. Co-director of the Landscape Archaeology Research Group (GIAP) and Research Coordinator of ICAC (due to take up this role in January 2023), Prof. Orengo is the second ICREA Research Professor at ICAC,…
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Vigilant, a project on the historic network of defensive fire beacons in Tenerife

GIAP (ICAC) Researcher Francesc C. Conesa is presenting today in Tenerife (Canary Islands). He will talk about his recent investigations into the historical network of fire beacons on the island of Tenerife. For centuries, the beacon signalling network was the island’s first line of defence against pirates, privateers or Crown enemies. The beacon network was…
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GIAP expands the team on Remote Sensing and Archaeobotany!

This month, GIAP (ICAC) welcomed two new postdoctoral researchers to the team! We are very glad to present Patricia Vandorpe and Pangambam Sendash Singh, who will be working with us until 2024: Patricia Vandorpe Dr. Vandorpe completed her PhD in 2010 at the University of Basel (Switzerland), where she has since worked as a research…
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Multitemporal Lidar: A New Workflow for the Detection of Subtle Topographic Features in Dense Forest Areas

ICAC researchers publish a new study in Land, showcasing the potential of multitemporal lidar-derived digital terrain models for the detection of subtle archaeological features under perennial dense forest.  Featured image: Figure 1. Lidar point-cloud.  Lidar-derived digital terrain models (DTMs) have, during the last years, become an essential tool in landscape archaeology (Berganzo-Besga et al. 2021)…
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Religious experience at the temple of Epikourean Apollo in Bassae: Virtual Reality technology in the service of archaeoastronomical research

GIAP (ICAC)’s researcher Efrosyni Boutsikas is travelling to Argentina to present in the Oxford XII Conference (ISAAC) and VIII Inter-American Conference on Cultural Astronomy: “Living Skies”, organised by the International Society of Archaeoastronomy and Astronomy (ISAAC) and the Inter-American Society of Astronomy in Culture (SIAC), which takes place in Buenos Aires from October 31st to…
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New algorithm for the automated detection and classification of multi-cell phytoliths using AI

A new study published in the Journal of Archaeological Science shows that it is possible to automate the detection and classification of phytoliths with a high-level of accuracy, up to a species level. This method has the potential to allow the development of much larger analytical datasets in a fraction of the time than was…
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