In this essay, we examine the potentials and challenges of mobile computing for a core activity of archaeological laboratory research—the typological analysis of ceramics. We discuss the collaborative development, implementation, and evaluation of the PAZC Ceramics module in the FAIMS Mobile platform. Our deployment of the module yielded significant improvements in the efficiency of data collection, as well as reduced numbers of missing fields and higher user satisfaction scores. However, it did not improve data consistency between users and yielded a classificatory system that was somewhat more challenging to update than our previous mode of operation. These results underscore some of the trade-offs that may be entailed in employing mobile technologies for archaeological applications and highlight the ways in which specific media configurations impact the production of archaeological knowledge.

Different types of artifacts and building materials react in varying manners to heat exposure, and the analysis of their degrees and patterns of thermal alterations provide important clues to the intensity of fire to which they were subjected. Such data allow researchers to examine the presence or absence of a building fire, the quantity of fuel, and the intentional or accidental nature of the fire. This approach is particularly important in the tropical lowlands, where evidence of fire in the forms of charcoal and ash may not be well preserved. At the rapidly abandoned site of Aguateca, Guatemala, the amount of charcoal and ash was small, but the examination of numerous artifacts left in situ and of building materials identified clear evidence that many buildings were burned at the time of abandonment. Similar lines of evidence were also found in artifact-poor, gradually abandoned structures at Ceibal, Guatemala. These results suggest the possibility that the burning of structures at the time of abandonment may have been more common in the Maya Lowlands than generally thought.

Remote sensing applications are increasingly common in archaeology but they often focus on high resolution imagery and direct archaeological site detection. Moderate spatial resolution remote sensing instruments, which have (near) daily repeat intervals, but contain less detailed spectral and spatial information, have been employed much less frequently in archaeology. However, moderate remote sensing data offer distinct advantages for archaeological research as they can be used to relate archaeological, ecological, and climactic data at vast spatial scales. To show this potential, we use moderate remote sensing data to examine the impact of landscape heterogeneity on the spread of indigenous maize horticulture in the northern Great Lakes during Late Precontact (ca. AD 1200-1600). Analyzing National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, we identify differences in freeze/thaw cycles across inland lakes in Michigan, showing that some large inland lakes produce a microclimatic amelioration, possibly extending the growing season for prehistoric maize cultivation. Conducting geospatial analyses, we find that burial mounds and maize cultivation practices were associated preferentially with larger inland lakes with microclimates. We could not have found these dynamic interrelationships between microclimates, burial mounds, and maize cultivation if not for both the frequent temporal imaging and large spatial coverage provided by moderate resolution remote sensing imagery.

Archaeologists frequently use probability distributions and null hypothesis significance testing (NHST) to assess how well survey, excavation, or experimental data align with their hypotheses about the past. Bayesian inference is increasingly used as an alternative to NHST and, in archaeology, is most commonly applied to radiocarbon date estimation and chronology building. This article demonstrates that Bayesian statistics has broader applications. It begins by contrasting NHST and Bayesian statistical frameworks, before introducing and applying Bayes's theorem. In order to guide the reader through an elementary step-by-step Bayesian analysis, this article uses a fictional archaeological faunal assemblage from a single site. The fictional example is then expanded to demonstrate how Bayesian analyses can be applied to data with a range of properties, formally incorporating expert prior knowledge into the hypothesis evaluation process.

In the past decade, archaeologists have increasingly made use of photogrammetry, the process of creating 3D models from photographs, in a variety of field and lab settings. We argue that we must, as a discipline, develop a consistent methodology to ensure that 3D models are held to a consistent standard, including not only photographic protocol but also the documentation of model accuracy using an agreed-upon measure. To help develop this discussion, we present our system for incorporating photogrammetry into the documentation of architecture. This technique was developed at the site of Nim Li Punit, Belize, in 2018. Excavating architecture involves documenting the pre-excavated building, liberating overburden, documenting all in situ construction (including wall fall, fill stones, and standing architecture), drawing consolidated architecture, and documenting the final state of the post-excavated buildings. The generation of 3D models greatly assisted in all facets of the excavation, documentation, analysis, and consolidation processes. To ensure that our models were accurate, we documented the reprojection error and final model horizontal distortion to assess the quality of the model. We suggest that documenting both forms of error should become standard practice in any discussion of archaeological applications of photogrammetry.

Gorée Island is Senegal's first site on the UNESCO World Heritage List. It is associated with the infamous Atlantic slave trade, and over the past few decades, Gorée has become a prime destination for global tourism, particularly for the African diaspora from the New World but also for many Europeans and African nationals. Today, Gorée is a forum where different stakeholders battle over the role, place, and significance of the island in the Atlantic slave trade and its enduring legacies in the present. While Gorée owes much of its reputation to its heritage, including architecture, archaeology, and monuments, recent controversies over site preservation and policy compliance raised questions about heritage presentation and consumption. This article analyzes stakeholders’ attitudes toward archaeology and heritage to gain insights on how they are presented and consumed by different stakeholders and eventually destroyed by them as well. The discussion shows ambiguous attitudes toward site presentation and preservation, which might be linked either to stakeholders’ subjectivities or hypocrisy or to poor and uncoordinated communication strategies by heritage professionals.

Archaeologists tend to produce slow data that is contextually rich but often difficult to generalize. An example is the analysis of lithic microdebitage, or knapping debris, that is smaller than 6.3 mm (0.25 in.). So far, scholars have relied on manual approaches that are prone to intra- and interobserver errors. In the following, we present a machine learning–based alternative together with experimental archaeology and dynamic image analysis. We use a dynamic image particle analyzer to measure each particle in experimentally produced lithic microdebitage (N = 5,299) as well as an archaeological soil sample (N = 73,313). We have developed four machine learning models based on Naïve Bayes, glmnet (generalized linear regression), random forest, and XGBoost (“Extreme Gradient Boost[ing]”) algorithms. Hyperparameter tuning optimized each model. A random forest model performed best with a sensitivity of 83.5%. It misclassified only 28 or 0.9% of lithic microdebitage. XGBoost models reached a sensitivity of 67.3%, whereas Naïve Bayes and glmnet models stayed below 50%. Except for glmnet models, transparency proved to be the most critical variable to distinguish microdebitage. Our approach objectifies and standardizes microdebitage analysis. Machine learning allows studying much larger sample sizes. Algorithms differ, though, and a random forest model offers the best performance so far.

Evaluating the archaeological potential of wooded areas is often difficult because many of the techniques archaeologists commonly use to locate and map archaeological sites elsewhere are less effective in the trees. Ground cover hinders the visual identification of surface artifacts during pedestrian survey, and the tree canopy impedes many of the techniques used to map areas of interest, such as optical theodolites and DGPS. Shovel test pitting, which disturbs the integrity of sites and provides limited contextual information, is the most common method used to evaluate woodlots today. In light of increasing interest from Indigenous peoples in limiting the impact of archaeological work on their cultural heritage, we are testing less invasive methods to locate and map archaeological sites within wooded areas. Here, we present the results of a magnetic susceptibility survey on a wooded precontact site in southern Quebec, where the technique rapidly determined site limits and pinpointed the location of several longhouses and other features. Where geological conditions are suitable, this method could considerably reduce the cost and impact of archaeological assessment and investigation of wooded sites by both cultural resource management (CRM) and academic archaeologists.

The transnational networks of the illicit and illegal antiquities trade are hard to perceive. We suggest representing the trade as a knowledge graph with multiple kinds of relationships that can be transformed by a neural architecture into a “knowledge graph embedding model.” The result is that the vectorization of the knowledge represented in the graph can be queried for missing “knowledge” of the trade by virtue of the various entities’ proximity in the multidimensional embedding space. In this article, we build a knowledge graph about the antiquities trade using a semantic annotation tool, drawing on the series of articles in the Trafficking Culture Project's online encyclopedia. We then use the AmpliGraph package, a series of tools for supervised machine learning (Costabello et al. 2019) to turn the graph into a knowledge graph embedding model. We query the model to predict new hypotheses and to cluster actors in the trade. The model suggests connections between actors and institutions hitherto unsuspected and not otherwise present in the original knowledge graph. This approach could hold enormous potential for illuminating the hidden corners of the illicit antiquities trade. The same method could be applied to other kinds of archaeological knowledge.

This paper evaluates attempts over the past seven years to address two archaeological challenges at the C.H. Nash Museum at Chucalissa. The first challenge was the proper curation of 50 years of accumulated collections from a wide array of sources by a staff one-third the size of when the collections were acquired. Second, the Museum faced the challenge of becoming a viable and socially relevant public institution in the twenty-first century. Ultimately, the C.H. Nash Museum embraced a co-creative approach to face the challenges. Co-creative processes resulted in a renewed and expanded base for public engagement, allowing the Museum to maximize the potential for preservation, research accessibility, and the exhibition of cultural materials curated at the institution.

Although archaeology has become increasingly concerned with engaging diverse publics, and has embraced the internet as a means of facilitating such engagement, attitudes towards Wikipedia have—understandably—been more ambivalent. Nevertheless, we argue here, Wikipedia's popularity and reach mean that archaeologists should actively engage with the website by adding and improving archaeological content. One way to do this is in the classroom: this paper provides a detailed how-to for instructors interested in having students create new Wikipedia content. We provide a case study in Wikipedia engagement from an advanced undergraduate course on African Archaeology, assess a program (Wiki Education) designed to help, and suggest further avenues for future outreach. We conclude that Wikipedia's utopian mission aligns with many of the goals of public archaeology, and argue that archaeology has much to gain by engaging with—rather than ignoring or even shunning—Wikipedia.

Teaching introductory archaeology courses in U.S. higher education typically falls short in two important ways: the courses do not represent the full picture of who contributes to reconstructing the past, and they do not portray the contemporary and future relevance of the archaeological past. In this article, we use anti-colonial and decolonial theories to explain the urgency of revising the introductory archaeology curriculum for promoting equity in the discipline and beyond. We detail the pedagogical theories we employed in revising an introductory archaeology course at a small liberal arts college in the United States and the specific changes we made to course structure, content, and teaching strategies. To examine the impacts on enrolled students and on who chose to enroll in the revised archaeology curriculum, we analyze student reflection essays and enrollment demographics. We found that students developed more complex understandings of the benefits and harms of archaeological knowledge production and could articulate how to address archaeology's inequities. We also found that enrollment in archaeology courses at the college shifted to include greater proportions of students of color. These results support the notion that introductory archaeology courses should be substantially and continually revised.

A major challenge facing archaeologists is communicating our research to the public. Thankfully, new computational tools have enabled the testing and visualization of complex ideas in an easily packageable format. In this article we illustrate not only how agent-based modeling provides a platform for communicating complex ideas, but also how these game-like computer models can be explored and manipulated by members of the public therefore increasing their engagement in archaeological explanations. We suggest that these new digital tools serve as an excellent aid for education on the importance of archaeological sites and artifacts. To illustrate the above we walk the reader through a step-by-step pipeline of how to run an ABM model as an experiment and how to export it into a form ready to be sent to SHPO and THPO offices in tandem with reports. Ultimately, we hope that this work will help demystify the computational archaeology process and lead to more fluency in using agent-based modeling in research and outreach.

While digital games are used for health intervention, language training, and science learning, there are few instances of games being used to teach archaeology. This is a missed opportunity, as narratives of exploration and discovery make archaeology well suited to digital games. This article discusses Red Land/Black Land, a prototype Civilization V mod (modification of an existing game) that allows players to explore both the process of cultural change in ancient Egypt and the construction of archaeological knowledge about ancient Egypt. As a case study of scholarly game design, the article explores the project’s development. Included is a discussion of play mechanics, the merits and process of modding, and the resources required to build games in academic environments. The article also discusses preliminary efforts to test the game in an undergraduate classroom. Ultimately, the article argues that digital games are powerful tools for communicating archaeology. Instead of falling under the glamour of commercial games, however, scholars should adopt cost effective approaches to game design, looking to mobile play, alternate reality games, modding, and browser based games to realize their vision. The article also argues that the actual process of designing a game is an excellent tool to teach archaeology.

Collections care practices have become professionalized in the last 30 years, in large part because of the work of organizations such as the American Alliance of Museums, the Canadian Conservation Institute, the Society for the Preservation of Natural History Collections, the American Institute for Conservation, and others in the museum sphere. Advances in preservation and management have benefited the discipline of archaeology in the field and laboratory. This thematic issue provides an updated perspective on the current happenings in the repository, highlighting innovative techniques and practices that collections specialists employ when managing the archaeological record. This article considers a macroview of the issues surrounding archaeological curation today and ponders what the future of collections preservation can and should look like.

Archaeologists have long acknowledged the significance of mountains in siting Greek cult. Mountains were where the gods preferred to make contact and there people constructed sanctuaries to inspire intervention. Greece is a land full of mountains, but we lack insight on the ancient Greeks’ view—what visible and topographic characteristics made particular mountains ideal places for worship over others, and whether worshiper preferences ever changed. This article describes a data collection and analysis methodology for landscapes where visualscape was a significant factor in situating culturally significant activities. Using a big-data approach, four geospatial analyses are applied to every cultic place in the Peloponnesian regions of the Argolid and Messenia, spanning 2800–146 BC. The fully described methodology combines a number of experiences—looking out, looking toward, and climbing up—and measures how these change through time. The result is an active historic model of Greek religious landscape, describing how individuals moved, saw, and integrated the built and natural world in different ways. Applied elsewhere, and even on nonreligious locales, this is a replicable mode for treating the natural landscape as an artifact of human decision: as a space impacting the siting of meaningful locales through history.

Public Archaeology in the Mediterranean Context (#pubarchMED) is a project that focuses on the management of archaeological heritage in the Mediterranean context from the perspective of public archaeology. Ranging from fully public models where preventive archaeology itself is a challenge to mixed models where the outsourcing of this work has been accomplished to a full extent, the variety of solutions is wide and with a common trend: struggle with mitigation and little space for creativity. This article will delve into the range of models that exist in the Mediterranean, exploring the way they approach, first of all, preventive/rescue archaeology, and then, the relationship between archaeology and society in the process. Building on the challenges of an underfunded scheme for an extremely archaeologically rich territory, different solutions have been set in practice—in some cases, under the auspices of competent administrations in the form of public policy—in the endeavor to include public archaeology in the practice, mostly encouraged by professionals as a personal or corporate initiative, and sometimes even consciously avoided. The discussion will offer some ideas for creative mitigation in the different scenarios, built on the comparative study and the broad possibilities to engage stakeholders positively in the process.

Digital tools are widely used in archaeology for excavation, research, and communication of results. Recently, due in large part to the COVID-19 pandemic, there has been a significant increase in the use of these resources in the classroom. The use of digital games for teaching undergraduate archaeology courses has been explored by a number of educators, but the majority of instructors continue to see this medium as lacking any particular educational merit. To combat this conclusion, in this article, the author explores some of the ways that unmodified digital games can be integrated into undergraduate archaeology courses to inspire critical discussions. She discusses two main types of games—conceptual simulations and realist simulations—to show how these can help students better understand theoretical approaches to archaeological interpretation and to consider the most effective form of archaeological reconstructions for different audiences. The author highlights her own experiences teaching with Assassin's Creed: Origins to show the benefits and challenges of working with this medium, and she includes student responses to the use of digital games in discussions. An example of a student assignment and an example of a project prompt are provided as supplemental materials to further encourage the use of digital games in the classroom.

The year 2020 was an awakening for some. For others, it reiterated the persistent social injustice in the United States. Compelled by these events, 30 diverse individuals came together from January to May 2021 for a semester-long seminar exploring inequity in archaeological practice. The seminar's discussions spotlighted the inequity and social injustices that are deeply embedded within the discipline. However, inequity in archaeology is often ignored or treated narrowly as discrete, if loosely bound, problems. A broad approach to inequity in archaeology revealed injustice to be intersectional, with compounding effects. Through the overarching themes of individual, community, theory, and practice, we (a subset of the seminar's participants) explore inequity and its role in various facets of archaeology, including North–South relations, publication, resource distribution, class differences, accessibility, inclusive theories, service to nonarchaeological communities, fieldwork, mentorship, and more. We focus on creating a roadmap for understanding the intersectionality of issues of inequity and suggesting avenues for continued education and direct engagement. We argue that community-building—by providing mutual support and building alliances—provides a pathway for realizing greater equity in our discipline.

As archaeologists expand the accessibility of legacy data, they have an opportunity to use these datasets to design future research. We argue that legacy data can be a critical resource to help predict characteristics of sites and socioeconomic systems. In this article, we present a combined geographic information system (GIS) and network analysis methodology that turns site location data into testable hypotheses about site characteristics and the organization of regional settlement systems. We demonstrate the utility of this approach with a case study: Bronze Age (2700–1100 BC) settlement patterns in the mining region of Hunedoara in southwest Transylvania, Romania. We leverage unsystematically collected site location information in legacy datasets to develop testable predictions about sites, regional networks, and socioeconomic systems that can be evaluated through future systematic surveys and large-scale excavations. Such testable hypotheses can inform archaeological research design by providing a quantitative basis for determining where to focus research efforts and can also help secure funding and fieldwork permits. The method developed here can be applied in diverse archaeological contexts to reinvigorate legacy data as part of future archaeological research design.