CAAInt.bsky.social

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CAA is an international organisation bringing together archaeologists, mathematicians and computer scientists. Reposting is not endorsement. https://linktr.ee/caa_international

Call for Session for CAA2027 extended until the 7 August. Head to the conference website for full details: https://2027.caaconference.org/call-for-sessions/
Call for Sessions for CAA2027 extended to the 7th August.
CAA LAC logo. Image is of a pair of hands, made up of networked nodes, drawing a map of Central America, South America and the Carribean. The text reads: 1 Encuentro Anual CAA LAC 2026 Encuentros Digitales
Graphic and QR code for the Call for Sessions for CAA2027 Text reads: CAA 2027 Building Digital Bridges CAA 2027 Conference 17-20 May 2027 Santiago, Chile Call for Sessions 19 June - 31 July Submission Period https://2027.caaconference.org/ 2027@caaconference.org
Graphic and QR code for the Call for Sessions for CAA2027 Text reads: CAA 2027 Building Digital Bridges CAA 2027 Conference 17-20 May 2027 Santiago, Chile Call for Sessions 19 June - 31 July Submission Period https://2027.caaconference.org/ 2027@caaconference.org
The CAA2027 logo. Red network and nodes over blue stylised depiction of the Andes. Logo is superimposed over an image of Santiago with the mountains in the background. Text reads: CAA 2027 Building digital bridges Santiago, Chile 17-20 May 2027
Figure 6. from the paper. Results of 100 replicated simulations of herd size changes over 200 years for each culling strategy. Initial herd size is set to 150 each for sheep and goats. Each simulation produced a unique set of inter-annual fertility and mortality rates separately for goats and sheep. Replications are consistent with the predictions associated with λboot: growth when λboot > 1, decline when λboot < 1, and steady state is reached when λboot = 1.
The logo for the Special Interest Group on Scientific Scripting Languages in Archaeology. A black hexagon with a red and green border, containing white symbols $./ and a white silhouette of a trowel.
Simple 1-point throwshed for sling (A) and rifle (B). Each smaller circle represents the shooting range of a weapon with a shooting angle of 0° in terrain shaped like a horizontal plane. The larger circles represent each weapon’s range with the shooting angle set to 45°.
Analysis results for 3 baths, from left to right: the Syracuse Baths (R, U), North Morgantina baths (S, V), and the Baths of Trajan (T, W). Top: Topological space analysis diagrams. Bottom: architectural plans. Legend: = space; 1 = space number; — = space connection. Authors’ elaboration. Note: The space numbers in this diagram are simplified labels assigned for the purpose of visualizing the topological structure and hierarchy in this graph.
White text on a dark blue background reads: Journal of Computer Applications in Archaeology CAA
Relationship between the AR on the iPad and the real environment. The screen shows the short side of the Viking chieftain’s house and, to the left, part of the smaller Viking house. The simulation is offset by about one metre due to GPS limitations (Photo: Fink R. Juhl).
Text reads: CAA POLAND Cyfrowe echa przeszłości 6 - 8 maja 2026, Kulice
Cover of the CAA2023 Proceedings. A blue cover with a 3D digital model of stone structure superimposed on a background showing a stylised blue network map. The text reads "Advances in Digital Archaeology. Proceedings of rhe 2023 conference Computer Applications and Quantitative Methods in Archaeology - 50 years of synergy. Edited by J.W.H.P. Verhagen, J. Waagen, A. Brandsen, A. Queffelec, R.M. Visser & D. Taelman."
Text reading: Hominins lived for most of their history as foragers in complete dependence on plants and animals in their surroundings. Depending on the regions they occupied, the available resources may have differed greatly intra- and inter-annually while shifts in climate altered the available ecosystems over time. How hominins may have behaved under these conditions and adapted to new challenges is increasingly studied using agent-based models (ABMs), as they allow researchers to recreate different behavioural and environmental scenarios and test the consequences (i.e., home range size, viability of the group). The goal of this article is to provide a comprehensive overview of the current state of research on ABMs simulating hominin foraging behaviour and connected processes, highlighting key findings, methodologies and theoretical frameworks. Our analysis reveals several prominent trends in the application of ABMs focused on hominin foraging behaviour, including the use of optimal-foraging (OFT) or central-place foraging (CPF) approaches. Additionally, we identify common challenges faced by researchers, such as implementing suitable reactions of the hominins to varying environmental conditions without relying on CPF, the difficulties in implementing comprehensive interactions between foragers and how to observe and interpret the resulting behaviour. This paper underscores the importance of refining ABMs to better capture the complexity of subsistence strategies in foraging hominins. We propose future directions for research that could enhance model accuracy and applicability.
An overview of the integration of data in QField and the documentation process A) Cultural Heritage Response Unit with tablets, B) Camera system, C) Examples of Structure from Motion models from a structure, D) The GIS plan on QField and form to assess structures.
Workflow of the fuzzy logic-based framework to measure uncertainty in site chronologies and typologies. Full details available in the paper.
Results using search strings before canceling repetition in results. Word cloud produced from paper abstracts. Source: authors’ elaboration generated through WordArt. Key temrs are Terrestrial Laser Scanning, Structural Health Monitoring and Finite Element Methods.
Word cloud based on the paper. Key words are environmental, climate, data, model, and hominin.
GIS generated map of the Greater Cahokia Site. Mound clusters and mound group visibility scores. Kernel Density Estimation of mounds revealed clustering with high visibility to be present at Central Cahokia, along the bluff line of the American Bottom (particularly in the north), and centered around the Mitchell Group. More information at the link in the post.
The network schema of the Big Exchange Heterogeneous Information Network (HIN) from the paper: A Network View on the Big Exchange Project: Integrating and Analysing Heterogeneous Datasets. Full description available at the link.
Grad-CAM, Guided Backpropagation, and Guided Grad-CAM applied on the trained model without the background class.
3D Analysis SIG board elections The members of the 3D Analysis SIG (Special Interest Group) Board are elected for a minimum term of 3 years with the right to be re-elected for a second term. All Board positions will be open to interested eligible candidates. 1. General Information about the Board of CAA-GR The 3D Analysis SIG provides a platform for bringing together researchers and practitioners to address the methodological, technical, and theoretical challenges of working with 3D data, from acquisition to analysis and dissemination. A founding goal of the group is to explore and advance the scope of 3D Analysis within archaeology. The task of the Board is to meet regularly for the purposes of the SIG. The Board has the right to opt for electronic voting whenever this is deemed appropriate. 2. Call for Candidacies The current interim board is launching the election procedure for new Board members. All eligible candidates are invited to apply for a Board position. The election of the Board shall take place at the General Meeting (GM) of the SIG during the CAA2026 in Vienna by show of hands. Submission of candidacy: Candidates should notify the current members of the 3D SIG Board for their willingness to stand for election by sending an email to the SIG’s email address (3d.analysis@caa-international.org) by Monday, February 16th 2026. In their email, the candidates should include a letter of intent (max. 1 page) and a short CV (max. 1 page) with webpage address and ORCHID-ID. All information on candidates will be made accessible via the CAA-International and/or national channels. 3. Important Dates Candidacy period open: Friday, 2 January 2026 Deadline for candidates: Monday, 16 February 2026 Voting: CAA2026 conference, Vienna, 31 March – 4 April 2026
A Digital Elevation Map made with QGIS depicting individual tool marks present on the wall of the nave of Göreme 4b, a rockcut in Cappadocia, Türkiye from the article: Lamesa, A, Botica, N and Bernardes, P. 2025 Computer-Assisted Reading Tools Marks: First Step of a Promising Protocol. Journal of Computer Applications in Archaeology 8(1): 264–281. DOI: https://doi.org/10.5334/jcaa.221.
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