Large datasets, combined with modeling techniques, provide a quantitative way to estimate when known archaeological sites will be impacted by climatological changes. With over 4,000 archaeological sites recorded on the coast of Georgia, USA, the state provides an ideal opportunity to compare methods. Here, we compare the popular passive “bathtub” modeling with the dynamic Sea Level Affecting Marshes Model (SLAMM) combined with the Marshes Equilibrium Model (MEM). The goal of this effort is to evaluate prior modeling and test the benefits of more detailed ecological modeling in assessing site loss. Our findings indicate that although rough counts of archaeological sites destroyed by sea-level rise (SLR) are similar in all approaches, using the latter two methods provides critical information needed in prioritizing site studies and documentation before irrevocable damages occur. Our results indicate that within the next 80 years, approximately 40% of Georgia's coastal sites will undergo a loss of archaeological context due to wetlands shifting from dry ecological zones to transitional marshlands or submerged estuaries and swamps.

There is an urgent need for climate change–informed decision-making and adaptation actions for cultural heritage. Challenges arise in incorporating and balancing multiple considerations, including robust understandings of climate change vulnerability, the objectives of current management paradigms, the need for meaningful engagement, the risk of maladaptation, and constrained resources to implement. We offer a conceptual framework and guide to integrate climate science and cultural heritage management to produce a range of adaptation actions for cultural heritage, categorized as Acclimate, Dislocate, Abandon, Protect, and Tell the Story (ADAPT) approaches. The ADAPT framework is intended to aid archaeologists and other cultural heritage managers in developing and evaluating possible adaptation actions that directly respond to findings from climate change vulnerability assessments, critically integrating management postures and constraints, and coproducing climate change adaptations with Indigenous rightsholders and community stakeholders.

We review shoreline monitoring methodologies used by members of the South Carolina Department of Natural Resources (SCDNR) Archaeology, Geology, and Wildlife Biology teams from February 2021 to December 2022 on Pockoy Island in Charleston County, South Carolina, USA. Our project objectives were to better understand the driving forces behind the landward movement of the shoreline (transgression), to apply new understanding to the rate of shoreline erosion of the island that directly impacts the Pockoy Island Shell Ring Complex (38CH2533), and to establish best practice for future community science monitoring efforts. Each member of our team used a different shoreline monitoring methodology (a nested methodology approach). Multiple unoccupied aerial vehicle (UAV)-derived orthoimagery datasets, on-the-ground transect measurements, and Arrow Gold real-time kinematic (RTK) unit measurements have been collected monthly following significant storms or king (perigean) tide events. Moving forward, the erosion transect approach tested within this project will serve as the foundation for community science monitoring at heritage at-risk sites in South Carolina. In this article, we introduce initial efforts in establishing a community science monitoring program in South Carolina that will influence future research, land management, and policy, and we propose how our research might be adapted for other sites at risk.

Historical changes from shifting land use, the natural meandering of waterways, and the aftereffects of erosion complicate modern environments and obfuscate precontact landscapes. Although archaeologists can create stratified sampling models or employ systematic surveys, traditional field methodologies are often not suitable for site discovery, thereby limiting knowledge of ancient cultural landscapes. Many water systems in southern Louisiana, and in many parts of the world, have been covered or concealed in backswamps by natural geomorphological processes, development, or environmental degradation. Investigation standards that do not account for these changes will not be effective at identifying archaeological sites in such transformed landscapes. Discoveries made during ongoing archaeological research in Iberville Parish, Louisiana, provide examples of what can be missed and offer solutions through changes in archaeological field methods. This article advocates for a mixed-methodology approach, drawing from historical research and shallow geophysics to look at landforms and landscape changes. Strictly following state survey guidelines can muddle the archaeological record, particularly in places subject to significant landscape change from historical land-use alteration. By applying these approaches, we offer a way to reconstruct ancient landscapes and landforms that are culturally significant but often missed given the nature of modern environmental conditions.

Field schools are foundational training for archaeologists and the corresponding methods for instruction are largely consistent within the discipline. The expectation is that at some point early in their careers students will enroll in a field school. To participate, students must pay summer tuition, dedicate a minimum of four weeks (usually longer) to full-time fieldwork, and in many cases travel to remote locations. The reality is that for many students such expectations make field school participation an impossibility—and ultimately make archaeology a nonviable career option for students from historically underrepresented backgrounds. Offering local field opportunities within the context of a regular school year alleviates those problems. A recent field school in north Idaho demonstrated how traditional field school structure excludes many students and how archaeologists can adjust instruction to make field training more accessible to students.

For thousands of years, humans have been entertained by board games. The earliest documented game boards date to at least 6000 BC in the Near East (Sebbane 2001), and we know the name, Senet, and rules of a board game from Egypt dating to 3500–3100 BC. Aspects of inequality are omnipresent in the dynamics of the competition and cooperation inherent in games. In this review, I assess the digital version of the board game Catan, which is also called Catan Universe, discussing how anthropological theories such as human behavioral ecology are recognizable in the digital game. Playing this game provides a unique way to test models of inequality.

Archaeological data often come in the form of counts. Understanding why counts of artifacts, subsistence remains, or features vary across time and space is central to archaeological inquiry. A central statistical method to model such variation is through regression, yet despite sophisticated advances in computational approaches to archaeology, practitioners do not have a standard approach for building, validating, or interpreting the results of count regression. Drawing on advances in ecology, we outline a framework for evaluating regressions with archaeological count data that includes suggestions for model fitting, diagnostics, and interpreting results. We hope these suggestions provide a foundation for advancing regression with archaeological count data to further our understanding of the past.

Web scraping, the practice of automating the collection of data from websites, is a key part of how the internet functions, and it is an increasingly important part of the research tool kit for scientists, cultural resources professionals, and journalists. There are few resources intended to train archaeologists in how to develop web scrapers. Perhaps more importantly, there are also few resources that outline the normative, ethical, and legal frameworks within which scraping of archaeological data is situated. This article is intended to introduce archaeologists to web scraping as a research method, as well as to outline the norms concerning scraping that have evolved since the 1990s, and the current state of US legal frameworks that touch on the practice. These norms and legal frameworks continue to evolve, representing an opportunity for archaeologists to become more involved in how scraping is practiced and how it should be regulated in the future.

This article describes a series of steps to integrate multiple modes of archaeological mapping in arid and agricultural settings. We use the coastal region of Peru as a case study and share our recent field experience at Cerro San Isidro, a multicomponent hill site located in the agriculture-intensive and mid-elevation (about 500 m asl) Moro region of the Nepeña Valley. In June and July 2022, we spent eight weeks deploying a combination of drone aerial imagery, pedestrian GPS reconnaissance, and GPR survey to map the surface and subsurface features at the site and in the adjacent agricultural fields. Our efforts suggest that the ancient settlement extended over an area of at least 50 ha, well beyond the visible surface architecture. Using a multimodal approach to confirming the partial destruction of archaeological vestiges by modern agricultural encroachment is both time-effective and noninvasive. The article offers insights from our experience, including the sequence of field operations, technical troubleshooting, and the collection and integration of datasets. We discuss the methodological potential and implications of this combination of multimodal mapping and its deployment in coastal Peru, a region that, like many others in the world, is increasingly subject to rapid agricultural expansion and other anthropogenic developments.