Cecilia Conati Barbaro

Mediterranean uplands often appear archaeologically poor, yet their surface record is shaped by geomorphic and post-depositional processes that vary over short distances. The 2025 Archaeological Landscape Survey at Rascino Plateau (ALSRaP) in Italy combines non-site survey and geoarchaeology to reconstruct the formation, preservation and visibility of the archaeological record in mountain landscapes.

This paper presents the compositional characterisation of obsidian artefacts from the archaeological site of Maddalena di Muccia (Marche, Central Italy). The assemblage, spanning the Early Neolithic to the Copper Age, was chemically and petrographically investigated using two non-destructive X-ray analytical instruments: a wavelength-dispersive X-ray spectrometer and a scanning electron microscope equipped with an energy-dispersive X-ray spectrometer. Geochemical data allow secure attribution of the artefacts to their geological sources, confirming the predominant use of Palmarola obsidian during the Early Neolithic and documenting the continued circulation of obsidian also from other sources (Lipari and Monte Arci) into the Copper Age. Significantly, the Muccia assemblage provides the first evidence in the Adriatic area for the contemporaneous presence of multiple Monte Arci obsidian sub-sources (S.A. and S.C.). This compositional pattern suggests sustained long-term exchange networks involving obsidian, and highlights the role of central Adriatic sites within broader prehistoric interaction systems of the central Mediterranean.

This study presents a high-resolution, multiproxy (carbon and oxygen isotopes, trace elements, and strontium isotopes) speleothem record from the Kurdistan Region of Iraq extending from the end of the Last Glacial Maximum (LGM) to the Early Holocene (18.0 to 7.5 ka), encompassing the Epipaleolithic–Neolithic transition in the core area of the Fertile Crescent (FC). The record shows that changes in local rainfall amount were coincident with changes in Greenland temperatures, with increased precipitation and enhanced multidecadal hydroclimatic variability during the Bølling–Allerød chronozone, followed by a drier and dustier Younger Dryas. Comparison with regional paleoclimate data suggests similar precipitation patterns across the FC, but with greater hydroclimate variability during the BA and drier conditions during the YD in the eastern sector. Crucially, the record provides a detailed and well-dated paleoenvironmental template by which to contextualize specific cultural events at the subregional scale, as revealed by recent archaeological research on key sites sharing similar environmental settings, allowing to investigate the role of climatic and environmental changes in shaping different neolithization patterns across the FC.

Italian genetic history was profoundly shaped by the Romans. While the Iron Age Central Italian gene pool was comparable to that of other coeval Central/Western European regions, during the Imperial age it was significantly influenced by Eastern Mediterranean ancestries. To explain this genetic shift, it has been proposed that people from Eastern provinces of the Empire migrated towards its political center: Rome and its surroundings. In this study, by presenting a new Roman Republic individual (1.25x) and comparing it to other published Republican samples, we propose a novel perspective for the presence of the Eastern Mediterranean ancestry in the Imperial gene pool. We show that the spread of this genetic ancestry may have taken place earlier than previously thought, during the Late Republican period, therefore predating the onset of the Empire by ∼200 years. The diffusion of this ancestry occurred due to early East-to-West movements, either because Eastern Mediterranean regions were under Roman political influence since the Late Republican period, or even as a result of internal movements from Southern Italy where several Greek and Phoenician settlements were established during the 1st millennium BCE.

Italian genetic history was profoundly shaped by Romans. While the Iron Age was comparable to contemporary European regions, the gene pool of Central Italy underwent significant influence from Near Eastern ancestry during the Imperial age. To explain this shift, it has been proposed that during this period people from Eastern Mediterranean regions of the Empire migrated towards its political center. In this study, by analyzing a new individual (1.25x) and published Republican samples, we propose a novel perspective for the presence of Near Eastern ancestry in the Imperial gene pool. In our scenario, the spread of this genetic ancestry took place during the late Republican period, predating the onset of the Empire by ∼200 years. The diffusion of this ancestry may have occurred due to early East-to-West movements, since Eastern Mediterranean regions were already under Roman political influence during the Republic, or even as a result of migration from Southern Italy where Greeks and Phoenicians settled.

Machine learning algorithms have revolutionized data analysis by uncovering hidden patterns and structures. Clustering algorithms play a crucial role in organizing data into coherent groups. We focused on K-Means, hierarchical, and Self-Organizing Map (SOM) clustering algorithms for analyzing homogeneous datasets based on archaeological finds from the middle phase of Pre-Pottery B Neolithic in Southern Levant (10,500–9500 cal B.P.). We aimed to assess the repeatability of these algorithms in identifying patterns using quantitative and qualitative evaluation criteria. Thorough experimentation and statistical analysis revealed the pros and cons of each algorithm, enabling us to determine their appropriateness for various clustering scenarios and data types. Preliminary results showed that traditional K-Means may not capture datasets’ intricate relationships and uncertainties. The hierarchical technique provided a more probabilistic approach, and SOM excelled at maintaining high-dimensional data structures. Our research provides valuable insights into balancing repeatability and interpretability for algorithm selection and allows professionals to identify ideal clustering solutions.

This study aims to present a comparative analysis of the Bayesian regularization backpropagation and Levenberg–Marquardt training algorithms in neural networks for the metrics prediction of damaged archaeological artifacts, of which the state of conservation is often fragmented due to different reasons, such as ritual, use wear, or post-depositional processes. The archaeological artifacts, specifically laminar blanks (so-called blades), come from different sites located in the Southern Levant that belong to the Pre-Pottery B Neolithic (PPNB) (10,100/9500–400 cal B.P.). This paper shows the entire procedure of the analysis, from its normalization of the dataset to its comparative analysis and overfitting problem resolution.

In the first millennia of the Holocene, human communities in the Fertile Crescent experienced drastic cultural and technological transformations that modified social and human-environments interactions, ultimately leading to the rise of complex societies. The potential influence of climate on this “Neolithic Revolution” has long been debated. Here we present a speleothem record from the Kurdistan Region of Iraq, covering from Early Neolithic to Early Chalcolithic periods (~ 11 to 7.3 ka, 9000–5300 BCE). The record reveals the influence of the Siberian High on regional precipitation, and shows large hydroclimatic variability at the multicentennial scale. In particular, it highlights wetter conditions between 9.7 and 9.0 ka, followed by an abrupt reduction of precipitation between 9.0 and 8.5 ka, and a wetter interval between 8.5 and 8.0 ka. A comparison with regional and local archaeological data demonstrates an influence of recorded hydroclimatic changes on settlement patterns (size, distribution, permanent vs. seasonal occupation) and on the exploitation of water resources by Neolithic to Chalcolithic populations. Our record does not show prominent hydroclimatic changes at 9.3 and 8.2 ka, thus not supporting direct influence of such rapid and widespread events on the process of Neolithization and its cultural dispersal.