This paper (2023) describes The Living Hill project dedicated to the archaeological park and fortress of Poggio Imperiale in Poggibonsi, Italy. The project is a collaboration between the Poggibonsi excavation and Entertainment Games App, Ltd. From the start, the project focused on the question of the intended audience rather than on the used technology. It was therefore planned to involve the audience in the creation of the game itself, which was not possible after all due to the covid pandemic. Nevertheless, the game aimed towards a visit experience as close as possible to reality to offer an educational tool through the video game, as it offers more periods than the medieval period showcased in the archaeological park itself.

The game mechanics differ from a walking simulator, or a virtual tour and the player is tasked with returning three lost objects in the virtual game. While the medieval level was based on a 3D scan of the archaeological park, the other two levels were reconstructed based on archaeological material. Currently, only a PC version is working, but the team works on a mobile version as well and teased the possibility that the source code will be made available open source. Lastly, the team also evaluated the game and its perception through surveys, interviews, and focus groups. Although the surveys were only based on 21 persons, the results came back positive overall.

The paper is well-written and follows a consistent structure. The authors clearly define the goals and setting of the project and how they developed and evaluated the game. Although it has be criticized that the game is not playable yet and the size of the questionnaire is too low, the authors clearly replied to the reviews and clarified the situation on both matters. They also attended to nearly all of the reviewers demands and answered them concisely in their response. In my personal opinion, I can fully recommend this paper for publication.

For future works, it is recommended that the authors enlarge their audience for the quesstionaire in order to get more representative results. It it also recommended to make the game available as soon as possible also outside of the archaeological park. I would also like to thank the reviewers for their concise and constructive criticism to this paper as well as for their time.

References

Mariotti, Samanta. (2023) Transforming the Archaeological Record Into a Digital Playground: a Methodological Analysis of The Living Hill Project, Zenodo, 8302563, ver. 5 peer-reviewed and recommended by Peer Community in Archaeology https://doi.org/10.5281/zenodo.8302563

Diamanti et al. (2024) is a significant contribution to the field of underwater robotics and their use in archaeology, with an innovative approach to some major problems in the deployment of said technologies. It identifies issues when it comes to approaching Underwater Cultural Heritage (UCH) sites and does so through an interest in the combination of data, maneuverability, and the interpretation provided by the instruments that archaeologists operate. The article's motives are clear: it is not enough to find the means to reach these sites, but rather is fundamental to take a step forward in methodology and how we can safeguard certain aspects of data recovery with robust mission planning.

To this end, the article does not fail to highlight previous contributions, in an intertwined web of references that demonstrate the marked evolution of the use of Unmanned Underwater Vehicles (UUVs), Remote Operated Vehicles (ROVs), Autonomous Underwater Vehicles (AUVs) and Autonomous Surface Vehicles (ASVs), which are growing exponentially in use (see Kapetanović et al. 2020). It should be emphasized that the notion of ‘aquatic environment’ used here is quite broad and is not limited to oceanic or maritime environments, which allows for a larger perspective on distinct technologies that proliferate in underwater archaeology. There is also a relevant discussion on the typologies of sensors and how these autonomous vehicles obtain their data, where are debated Inertial Measurement Units (IMU) and LiDAR systems. 

Thus, the authors of this article propose the creation of a model that acquires data through simulations, which allows for a better understanding of what a real mission presupposes in the field. Their tripartite method - pre-mission planning; mission plan and post-mission plan - offers a performing algorithm that simplifies and provides reliability to all the parts of the intervention. The use of real cases to create simulation models allows for a substantial approximation to common practice in underwater environments. And yet, the article is at its most innovative status when it combines all the elements it sets out to explore. It could simply focus on the methodological or planning component, on obtaining data, or on theoretical problems. But it goes further, which makes this approach more complete and of interest to the archaeological community. By not taking any part as isolated, the problems and possible solutions arising from the course of the mission are carried over from one parameter to another, where details are worked upon and efficiency goals are set.

One of the most significant cases is the tuning of ocean optics in aquatic environments according to the idiosyncracies of real cases (Diamanti et al. 2024: 8), a complex endeavor but absolutely necessary in order to increase the informative potential of the simulation. The exploration of various data capture models is also welcome, for the purposes of comparison and adaptation on a case-by-case basis. The brief theoretical reflection offered at the end of the article dwells in all these points and problematizes the difference between terrestrial and aquatic archaeology. In fact, the distinction does not only exist in the technical component, as although it draws in theoretical elements from archaeology that is carried out on land (see Krieger 2012 for this matter), the problems and interpretations are shaped by different factors and therefore become unique (Diamanti et al 2024: 15). The future, according to the authors, lies in increasing the autonomy of these vehicles so that the human element does not have to make decisions in a systematic way. It is in that note, and in order for that path to become closer to reality, that we strongly recommend this article for publication, in conjunction with the comments of the reviewers. We hope that its integrated approach, which brings together methods, theories and reflections, can become a broader modus operandi within the field of underwater robotics applied to archaeology.

References:

Diamanti, E., Yip, M., Stahl, A. and Ødegård, Ø. (2024). Advancing data quality of marine archaeological documentation using underwater robotics: from simulation environments to real-world scenarios, Zenodo, 8305098, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8305098

Kapetanović, N., Vasilijević, A., Nađ, Đ., Zubčić, K., and Mišković, N. (2020). Marine Robots Mapping the Present and the Past: Unraveling the Secrets of the Deep. Remote Sensing, 12(23), 3902. MDPI AG. http://dx.doi.org/10.3390/rs12233902

Krieger, W. H. (2012). Theory, Locality, and Methodology in Archaeology: Just Add Water? HOPOS: The Journal of the International Society for the History of Philosophy of Science, 2(2), 243–257. https://doi.org/10.1086/666956

The paper by A. Lien-Talks [1] presents a small project looking at the use of crowd sourced data collection and particpatory GIS. In particular it looks at the potential of these tools in response to socially disruptive and isolating events such as the COVID-19 pandemic as well as the potential role of digitially mediated heritage initiatives in tackling some of the challenges of changing demographics and life styles.

The types of technologies employed are relatively mature, the project identifies potential for such approaches to be used within the local-history/local community settings, though is also a reminer that depsite the much broader adoption of technology within all areas of society than even a few years ago many barriers still remain. While the the sample size and data collected in the project is relatively modest, the focus on empathy toward the intended audiences from the design process, as well as some of the qualitative feedback reported serve as a reminder that participatory, or crowd-sourced data collection initiatives in heritage can, and perhaps should place potential social benefit before data-acquisition of objectives.

The project also presents a demographic that is not often represented within the literature and the publication and as such the publication of the article represents a meaningful contribution to ongoing discussions of the role heritage and digitally mediated community archaeology can play a role in developing our societies.

References

[1] Lien-Talks, A. (2024). The Ashwell Project: Creating an Online Geospatial Community. Zenodo, 8307882, ver. 4 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8307882

In response to the feedback provided by the reviewers, the authors have undertaken a comprehensive revision of the manuscript [1]. These revisions have specifically targeted the primary concerns raised regarding the clarity and structure of the argument concerning the transformative impact of Archaeological Information Systems (AIS) on archaeological practices. In my view the revised manuscript now more clearly articulates the distinction between internal and external interoperability and emphasizes the critical importance of integrating contextual information with archaeological data. This approach directly addresses the previously identified need for enhanced traceability and usability of archaeological data, ensuring that the manuscript's contributions to the field are both clear and impactful.

Moreover, the application of the proposed model at the Bibracte site is illustrated with greater clarity, serving as a concrete example of how the challenges associated with documentation and data management can be effectively addressed through the methodologies proposed in the paper. This practical demonstration enriches the manuscript, providing readers with a much clearer understanding of the model's applicability and benefits in real-world archaeological practice.

The authors have also made significant efforts to refine the overall structure and coherence of the manuscript. By making complex concepts more accessible and ensuring a cohesive narrative flow throughout, the manuscript now offers a more engaging and comprehensible read. This has been achieved through careful rephrasing and restructuring of sections, particularly those relating to the T!O model's application and the conclusion, thereby enhancing reader engagement and comprehension.

Alongside these structural and conceptual clarifications, explicit discussion of potential areas for future research, not only acknowledges the limitations of the current study but also highlights the significant potential for digital technologies to contribute to archaeological methodology and knowledge production. As such, the manuscript opens up new avenues for exploration and invites further scholarly engagement with the topics it addresses.

I believe, these revisions address the earlier feedback quite comprehensively, presenting a robust and compelling argument for the adoption of collaborative and technologically informed approaches in the field of archaeology. The manuscript now stands as a strong example of the critical role AIS could/should play in transforming archaeological practices, offering valuable insights into how these kinds of systems might enhance the management, accessibility, and understanding of archaeological data. Through this revised submission, the authors have significantly strengthened their contribution to the ongoing discourse on digital archaeology, demonstrating the practical and theoretical implications of their work for the broader archaeological community. I am happy, therefore to recommend this paper for acceptence.

Reference

[1] Lacombe, E., Lukas, D. and Durost, S. (2024). The transformation of an archaeological community and its resulting representations in the context of the co-development of open Archaeological Information Systems. Zenodo, 8309732, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8309732

In this paper (Linsel/Bullenkamp/Mara 2024), the authors propose an automatic system for scar-ridge-pattern detection on palaeolithic artefacts based on Morse Theory. Scare-Ridge pattern recognition is a process that is usually done manually while creating a drawing of the object itself. Automatic systems to detect scars or ridges exist, but only a small amount of them is utilizing 3D data. In addition to the scar-ridges detection, the authors also experiment in automatically detecting the operational sequence, the temporal relation between scars and ridges. As a result, they can export a traditional drawing as well as graph models displaying the relationships between the scars and ridges.

After an introduction to the project and the practice of documenting palaeolithic artefacts, the authors explain their procedure in automatising the analysis of scars and ridges as well as their temporal relation to each other on these artefacts. To illustrate the process, an open dataset of lithic artefacts from the Grotta di Fumane, Italy, was used and 62 artefacts selected. To establish a Ground Truth, the artefacts were first annotated manually. The authors then continue to explain in detail each step of the automated process that follows and the results obtained.

In the second part of the paper, the results are presented. First the results of the segmentation process shows that the average percentage of correctly labelled vertices is over 91%, which is a remarkable result. The graph modelling however shows some more difficulties, which the authors are aware of. To enhance the process, the authors rightfully aim to include datasets of experimental archaeology in the future. They also aim to develop a way of detecting the operational sequence automatically and precisely.

This paper has great potential as it showcases exactly what Digital and Computational Archaeology is about: The development of new digital methods to enhance the analysis of archaeological data. While this procedure is still in development, the authors were able to present a valuable contribution to the automatization of analytical archaeology. By creating a step towards the machine-readability of this data, they also open up the way to further steps in machine learning within Archaeology.

Bibliography

Linsel, F., Bullenkamp, J. P., and Mara, H. (2024). Linking Scars: Topology-based Scar Detection and Graph Modeling of Paleolithic Artifacts in 3D, Zenodo, 8296269, ver. 3 peer-reviewed and recommended by Peer Community in Archaeology. https://doi.org/10.5281/zenodo.8296269