H2020Индивидуална стипендия2021–2023

ArchBiMod · Agent-Based Modelling to assess the quality and bias of the archaeological record

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2021-09-01 → 2023-08-31
Финансиране от ЕС
212 934 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Компютърни симулации анализират как пропуските в археологическите данни, например при разпространението на земеделието в Западното Средиземноморие, изкривяват представата ни за миналото. Това помага на различни науки да разберат доколко непълните информацията влияе върху техните теории и изводи.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Agent-Based Modelling to assess the quality and bias of the archaeological record

The project focused on addressing how different bias affecting the archaeological can condition the hypothesis building framework of the discipline and, hence, our knowledge of the past. By focusing on the spread of farming throughout the Western Mediterranean, the project has tried to assess how the fragmentary characteristics of the archaeological record, the research biases when gathering information and/or the frequent gaps in specific areas and chronology might hinder the way we understand the path that has led us to the present. To do so, it has relied on intensive computational simulation and statistic modelling, thus positioning itself at the vanguard of current methodological approaches in archaeological inference. This can transfer to society in several ways. First, it constitutes a meta-scientific project which not archaeology, but every discipline where biases and problems on the data are important, can benefit from. This virtually includes several research disciplines studying the past (e.g. Paleontology) but also current disciplines where the recovery of data is an additional challenge. Additionally, and by properly assessing how these data are affecting our current knowledge of the past, the project has been able to refine certain theoretical aspects affecting the life and interactions of the last-hunter gatherers and the first farmers of the Western Mediterranean, while also extending its methods and inferential background to other global areas (e. g. Scandinavia or Japan). The overall objectives of the project were, first, determining the most relevant biases affecting archaeological research. The project has been successful in this regard by developing large amount of computational simulation, and the consequences of the different biases considered, modelling from the moment in which the record is produced to how this is lost and how archaeologists condition our potential hypothesis building through their different methodological approaches. Second, the project was interested in understanding how tactical simulation could help us in this regard. The extensive deployment of this technique has allowed the project not only to obtain a better informed knowledge of how different parameters interact and condition our theoretical framework, but it has also given place to some enhanced methodological solutions that can be exported to different scientific fields. Finally, the project has been able to reassess and challenge (as will be shown in upcoming publications) some currently standing theories, regarding the spread of farming, that were relying on under-assessed data. By focusing on the process that define the archaeological data and the methods that we used to extract the most information out of it, the project has been able to bring further archaeological hypothesis building as well as developed bespoke methodologies that can be exported and used in different research problems.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Archaeological data is often biased and incomplete. This is a well-known issue for most archaeologists. Although studies of specific sites and small regions can have this into account, the effect of this problem increases exponentially as archaeologists try to expand their chronological and geographic frame, and try to answer questions related to general dynamics and broad human processes, such as the European Neolithisation. Moreover, the increase of archaeological activity in the past years, along with the heterogeneity of archaeological methods and the accumulation of legacy datasets, often collected with specific purposes, adds great difficulty to a detailed analysis of the interrelation of similar processes through different geographic regions. In this regard, synthetic and computational archaeology, because they usually rely on large datasets and focus their research in broad-frame dynamics, are particularly sensitive to this kind of problems. ArchBiMod will address this issue to improve archaeological inference and interpretation of wide-range dynamics. This project will perform a comprehensive Agent-Based simulation, which will have into account different aspects related to how biases in the archaeological record affect hypothesis building. It will do so in two stages. First, it will assess common issues, such as record formation, record loss or differential research, and then it will add to those common factors specific research topics related the demography of the European Neolithisation. By doing this, ArchBiMod will build a modular open and easy-to-use model which can then be used by other archaeologists to assess their own problems, and enlarged with different research topics through collaboration. Ultimately, ArchBiMod will bring a significant contribution in two ways: by providing a thorough and comprehensive analysis of archaeological bias factors and by creating an open and useful tool which will improve how archaeologists understand the past.

Оригинален текст от CORDIS (на английски).

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Връзки

Данни: CORDIS, © Европейски съюз