Tasha Vorderstrasse

Abstract: Archaeological looting correlates with a number of problems, including the destruction of stratigraphic data and the damage and loss of artifacts. Looting is also understood to generate revenue, but systematic analysis of this issue is challenged by its opacity: how can we study the economic effects of archaeological looting when the practice is rarely directly observable? To address this problem, we estimate the market value of archaeological sites where artifacts have been previously excavated and documented, using a machine-learning approach. The first step uses 41,587 sales of objects from 33 firms to train an algorithm to predict the distribution channel, lot packaging, and estimated sale price of objects based on their observable characteristics. The second step uses the trained algorithm to estimate the value of sites in which a large number of artifacts have been legally excavated and documented. We make an out-of-sample prediction on two Syrian sites, Tell Bi’a and Dura Europos.

Abstract: Discussions about looted antiquities often focus on large, culturally and monetarily valuable items. Nevertheless, it is clear that mundane small finds, which sell for relatively small amounts, account for a large portion of the global market in antiquities. This article highlights two types of small artifacts—namely, cylinder seals and coins, presumed to come from Syria and Iraq and offered for sale by online vendors. We argue that the number of cylinder seals and coins sold on the Internet has increased steadily since 2011, reaching a peak in 2016–17. This shows that the trade in Iraqi and Syrian antiquities has shifted from big-ticket items sold in traditional brick-and-mortar shops to small items readily available on the Internet for modest prices. The continuing growth of the online market in antiquities is having a devastating effect on the archaeological sites in Iraq and Syria as increasing demand fuels further looting in the region.

Abstract: edited by Lawrence Rothfield, Lanham, MD, AltaMira Press, 2008, 340 pp., US$29.95 (paperback), ISBN 0‐7591‐1099‐9 In April 2003, images of the looting and destruction of the Iraq Museum and the Ira...

Abstract: Ann Laura Stoler has asked what happens when we shift our scrutiny from the picturesque ruins of empire to the ongoing process of ruination. Examining some of the many and continuing ruinations of the site Dura-Europos on the Syrian Euphrates, this paper compares ancient and modern destructions by the Roman army, Sasanian forces, Yale archaeologists and ‘Islamic State’, and questions the different way these are understood. Through these stories of ruination I interrogate the relationship between archaeologists and processes of site destruction, examining archaeologists not only as those who evaluate loss but as agents of destruction themselves.

Abstract: Digital social science research has had an important impact on the types of methodological approaches to the internet and digital social phenomena, practices and communities. Whilst this paper does not seek to include empirical data, it aims to elaborate further on these debates in digital social research, that is, research on ‘life in digital society’ (Lindgren 2017: 230), using insights from my own research methods. This paper will firstly consider some methodological pitfalls that could sabotage our digital social archaeology research. It will then discuss the importance of understanding the framework and sources of our data. It will outline the two main methodological approaches I have used in my own empirical research to date – ‘thick’ social media data collection and analysis, and digital ethnography. It will discuss some of the many ethical considerations that must be assessed and implemented when undertaking this type of work. I will argue for a methodological pragmatism when undertaking social research in the fields of archaeology and heritage, although this pragmatism can be applied to any field of social study in the digital world.

Abstract: The trade in antiquities and cultural objects has proven difficult to understand and yet is highly dynamic. Currently, there are few computational tools that allow researchers to systematically und...