Research Topic: Unravelling the Knot: A Socio-Material Approach to the Study of Neolithic Megasites
Ms. Mazzucato is a Phd Candidate in Stanford University. She completed MA in Archaeology at Bologna University and MSc in GIS and Spatial Analysis at UCL. Her research investigates early patterns of settled life and social differentiation through the study of Neolithic megasites in Anatolia and the Levant. By focusing on these large Late Neolithic population centers, her project aims to rethink the nature of the networks of social engagement that emerge in the early Holocene within early agriculture communities. It intends to engage with the recognition of horizontal social differences and bonds, as well as to identify the dense variety of nested and/or cross-cutting networks of social relations that characterize the way these communities functioned in the absence of clear evidence for social stratification. As a methodological tool, the research will make use of formal socio-material network methods at an intra-site level applied to the Çatalhöyük dataset through diachronic and synchronic analyses. Mazzucato has been part of the Çatalhöyük Research team since 2009 as the main GIS specialist. She additionally spent two years (2011–2012) working as a researcher at the Institute of Social and Cultural Anthropology of Oxford University.
Cookie Policy
Cookies are used to personalize content and ads, to provide social media features and to analyze our traffic. You can accept all cookies by selecting "Allow all" or you can edit the settings by selecting "Customize your cookie settings".
When you visit a website, information is stored in your browser, mostly in the form of cookies. This information may be about you, your preferences or your device, and is often used to make the site work as you expect it to. The information does not usually identify you directly, it is meant to provide you with a more personalized web experience. You can choose not to allow some cookies. Click on the different category headings to learn more and change our default settings. Click here to view our cookie policy.
These cookies are necessary for the website to function and cannot be turned off in our systems.
Statistical Cookies
These cookies are used to provide insight into how we can improve our service to all our users and to understand how you interact with our website as an anonymous user.
Targeting Cookies
These cookies are used to create your profile and provide ads relevant to your interests. It is also used to limit the number of times you see an ad, as well as help measure the effectiveness of the ad campaign.