Join our Email List Berghahn Books Logo

berghahn New York · Oxford

  • Facebook
  • Twitter
  • Youtube
  • Instagram
Browse
Modeling the Past							: Archaeology, History, and Dynamic Networks

View Table of Contents


Email Newsletters

Sign up for our email newsletters to get customized updates on new Berghahn publications.

Click here to select your preferences

Modeling the Past

Archaeology, History, and Dynamic Networks

John Terrell, Mark Golitko, Helen Dawson, and Marc Kissel

224 pages, 45 illus., bibliog., index

ISBN  978-1-80073-869-0 $149.00/£110.00 / Hb / Not Yet Published (March 2023)

eISBN 978-1-80073-870-6 eBook Not Yet Published


View CartYour country: - editClick here to view our Brexit Info

Due to uncertainty surrounding post-Brexit trade agreements deliveries to the EU may take longer to arrive and be subject to local import charges, for which the customer is liable. We encourage you to consider an eBook alternative or to go to your local bookshop for the print copy. Read the current information here

 Recommend to your LibraryAvailable in GOBI®

Reviews

" What I like about the whole book is the emphasis on historical and archaeological research as ‘not the search for truth, but as a venue to test hypotheses – research that is testable, refutable, and replicable.’” • Stephen Acabado, University of California-Los Angeles

Description

How do researchers use dynamic network analysis (DYNA) to explore, model, and try to understand the complex global history of our species? Reduced to bare bones, network analysis is a way of understanding the world around us — a way called relational thinking — that is liberating but challenging. Using this handbook, researchers learn to develop historical and archaeological research questions anchored in DYNA. Undergraduate and graduate students, as well as professional historians and archaeologists can consult on issues that range from hypothesis-driven research to critiquing dominant historical narratives, especially those that have tended ignore the diversity of the archaeological record.

John Terrell is Regenstein Curator of Pacific Anthropology at Field Museum of Natural History in Chicago. His most recent books are A Talent for Friendship: Rediscovery of a Remarkable Trait (Oxford, 2014), and Understanding the Human Mind: Why You Shouldn't Trust What Your Brain is Telling You (written with his son Gabriel Stowe Terrell, Routledge, 2020).

Mark Golitko is an Assistant Professor of Anthropology at the University of Notre Dame and a research associate at the Field Museum of Natural History. He has published extensively on ancient exchange, social networks, conflict, and the application of chemical methods to the study of archaeological material culture. He is the author of LBK Realpolitik (Archaeopress, 2015).

Helen Dawson is an archaeologist specializing in the comparative study of the Mediterranean Islands. She is currently an adjunct professor at the Department of History and Culture of the University of Bologna, and an associate research fellow of the Freie Universität Berlin. She is on the editorial board of the journal “Shima” and on the advisory board of the Small Island Cultures Research Initiative (SICRI).

Marc Kissel is an assistant professor of anthropology at Appalachian State University. He has published on various topics such as modern human origins, warfare and peacefare in the past, origins of human symbolic expression, and critical pedagogy. He is part of the team behind “March Mammal Madness,” a science outreach project that over the course of several weeks in March reaches hundreds of thousands of learners in the United States every year.

Subject: ArchaeologyHistory (General)Anthropology (General)


Contents

Back to Top



Library Recommendation Form

Dear Librarian,

I would like to recommend Modeling the Past Archaeology, History, and Dynamic Networks for the library. Please include it in your next purchasing review with my strong recommendation. The RRP is: $149.00

I recommend this title for the following reasons:

BENEFIT FOR THE LIBRARY: This book will be a valuable addition to the library's collection.

REFERENCE: I will refer to this book for my research/teaching work.

STUDENT REFERRAL: I will regularly refer my students to the book to assist their studies.

OWN AFFILIATION: I am an editor/contributor to this book or another book in the Series (where applicable) and/or on the Editorial Board of the Series, of which this volume is part.