Alex Brandsen

@alexbrandsen
199 Followers
110 Following
20 Posts
I'm an archaeologist by original intention and a computer scientist by final decision.
Websitehttps://alexbrandsen.nl
PronounsHe/him

RE: https://social.edu.nl/@NilsArlinghaus/116204065677788562

Have you got a project idea about FAIR research data and software in the Social Sciences & Humanities, and you're based in the Kingdom of The Netherlands? Consider joining the TDCC-SSH Project Idea Generator to brainstorm ideas and get more information on our open call!

The budget per project is expected to be €50.000-400.000 (plus 25% matched funding requirement), with projects lasting up to 24 months.

Social sciences and humanities will benefit from data interoperability | Open Science NL

When it comes to FAIR data, the focus is mainly on findability. But interoperability is just as important for researchers, says Alex Brandsen, interoperability expert in the field of social sciences and humanities.

Open Science NL

The Interactive Pasts Conference (TIPC) is an event where we get together to celebrate our joint love for video games and the past and share our playful, creative, smart, cool, beautiful ideas with each other.

Come and join: https://interactivepasts.com/the-interactive-pasts-conference-4/

1/3 New recommendation: Kawano, K., @itagakim, Fujita, H., Yamamoto, R., Takeuchi, T. & Ochiai, H. (2025). Statistical image processing (Decorrelation Stretch) and deep learning (CycleGANs) to restore images of faded artworks. V6 peer-reviewed and recommended by PCI Archaeology https://doi.org/10.5281/zenodo.16888802 #Archaeology
2/3 Recommended by @Mathias_bellat and @alexbrandsen‬ based on reviews by Anthony Pamart, Frédéric Donze and 1 anonymous reviewer. All editorial work accessible here: https://doi.org/10.24072/pci.archaeo.100543
This is part of the #CAA2024AKL proceedings which decided to use our #OpenAccess system @CAA_int

I finally got around to writing up a summary of the unconference I organised in November, funded by Open Science NL with the Open Science Meetings grant, ARCHON research school of archaeology, and SAILS Society Artificial Intelligence and Life Sciences.

Thanks to co-authors @toothFAIRy, @alexbrandsen, @RonaldVisser, Pascal Flohr, and @andreatitolo!

#OpenScience #Archaeology

https://openworking.wordpress.com/2025/01/15/open-science-in-archaeology-an-unconference/

Open Science in Archaeology: An Unconference

Bjørn Peare Bartholdy, Alex Brandsen, Ronald Visser, Esther Plomp, Pascal Flohr, Andrea Titolo The first Archaeology conference in the Netherlands focused completely on Open Science, UnArchaeology,…

Open Working
1/3 New recommendation: Lasse van den Dikkenberg and @alexbrandsen (2025). Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt Delta. v2 peer-reviewed and recommended by @PCI_Archaeology https://doi.org/10.5281/zenodo.14763691 #Archaeology
Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt Delta

This paper presents a study on Vlaardingen Culture (3400-2500 BCE) sites in theRhine-Meuse-Scheldt delta using AGNES, an intelligent search engine for Dutch andFlemish archaeological grey literature. The aims of this paper are twofold: 1) toprovide an up-to-date overview of Vlaardingen Culture sites; 2) to evaluate theperformance of AGNES in searching for period specific sites. Vlaardingen Culture(VLC) sites usually consist of artefact scatters without clearly discernible houseplans. These scatters are often found amongst abundant remains from later periods.This type of ‘by-catch’ is usually not found in the metadata of archaeological reports.It can only be recovered in full text searches. AGNES uses Text Mining and LargeLanguage Models to allow searches on archaeological concepts (in this case anarchaeological culture) in full texts extracted from three major repositories for Dutch(DANS and ARCHIS) and Flemish (Onroerend Erfgoed) archaeology. This paperpresents a search for VLC sites, and a comparison of the retrieved information with arecently compiled overview of VLC sites in the area. Using eight queries we retrieved4532 hits, which were subdivided into: relevant hits (n=430); semi-relevant hits(n=2133); and irrelevant hits (n=1960). We recovered thirty previously unknownVlaardingen Culture sites, amounting to 19% of the total number of VLC sites(n=158). Not all sites could be found in AGNES, older archaeological sites are oftenpublished in scientific and semi-scientific journals, theses, or books. Thesepublications are absent in the repositories which can be accessed through AGNES,and by extent, they cannot be retrieved. As such AGNES does not provide analternative to traditional search methods. Nevertheless, most of the newly found sitesconsist of sites which cannot be found by searching the metadata of reports in DANSand ARCHIS. Therefore, AGNES proved to be an essential and effective addition totraditional search methods. Finally, our study highlighted the fact that clearterminology to describe Vlaardingen Culture sites is presently lacking. As such thestudy provided interesting insights into the terminologies employed indevelopment-led archaeology.

Zenodo

I wrote an op-ed with colleagues at Leiden's Humanities and Social Science faculties for Mare 👇

https://mareonline.nl/en/background/smart-cameras-have-no-place-on-campus-take-them-down/

We argue #SurveillanceTechnology undermines academic values of freedom and autonomy.

The board of #LeidenUniversity should take the smart cameras down!

#UnseeUs #CameraGate

Machine Learning in Archaeology is gathering speed. I listened to an expert and was amazed. Alex Brandsen (@alexbrandsen) talked about his dissertation at the Colloquium in Cultural Digital Heritage at the University of Cologne.

In preparation to this, I tried Artificial Intelligence out myself by using ChatGPT and was amazed even more! What took me a day, was done by AI in 10 seconds. But is it helpful though?

🔗 https://itsmoreofacomment.com/2023/01/13/machine-learning-in-archaeology/

Machine Learning in Archaeology - It's more of a comment...

Machine Learning in Archaeology is gathering speed. I listened to an expert and was amazed. I tried it out myself and was amazed even more!

It's more of a comment...

The review process for #CAA2023Ams is well underway, with more than 350 reviews already completed!

If you've been asked to review, please go to cmt3.research.microsoft.com/CAA2023/Submis… to do so, or let the session chair know if you are unable to review.

Deadline for reviews is 9th of December!