To accomplish all of the planned tasks, the DEATHREVOL project has been divided into several work stages that are being developed simultaneously. The first work stage (WS1) is data collection. Specific actions in this phase include the mobility to study the fossil collections, acquisition of virtual and spatial data and chronometric dating on human bones. To date, we have analysed more than 35 collections of Palaeolithic human fossils corresponding to Objectives 1 and 2, which represents 70% of what was originally planned. We have also collected the data necessary for their analysis from these collections. On the other hand, we are analysing a considerable number of faunal remains from different archaeological contexts, including some of the sites included in Objectives 1 and 2, and those encompassed in Objective 3, such as anthropological occupation sites, carnivore contexts, natural cave situations, as well as experimental collections. In this sense, we are working diligently on Objective 3, which is a priority for the two doctoral theses in progress.
The second stage (WS2) consists of data analysis. This includes the statistical treatment of the data, the realisation of the virtual reconstructions of the fossils, the design and implementation of the Geographic Information Systems specific to each site, and the mathematical modelling and data analysis. We are currently in the process of completing this WS, having completed the data analysis of some of the analysed collections and are in the process of doing so for others.
The third Work stage (WS3) involves the integration of results. This project aims to create a European multi-proxy database of taphonomic data based on a large number of interrelated methods and analytical procedures. Therefore, we are developing an integrative approach aimed at proposing systemic models of ancient population behaviour during the Pleistocene in Europe. This involves planning, discussion and interpretation tasks in the main lines of research: virtual techniques, spatial analysis and machine learning.
After data analysis and integration, the final step is scientific and public dissemination. We regularly attend international conferences on archaeology and human evolution (29 so far). We have published some articles in scientific journals, although we are working on some papers that will be submitted for publication in the coming months. Finally, we regularly disseminate our results and investigations to the public, both nationally and internationally, through social networks, a website specifically designed for this project, lectures, conferences, school activities and participation in many outreach programmes.