Thesis (M.A.)--University of Nevada, Reno, 2007. / "May, 2007." Includes bibliographical references (leaves 145-157). Online version available on the World Wide Web.

Thesis (Ph.D.) - University of Glasgow, 2008 . / Ph.D. thesis submitted to the Departments of Archaeology and Classics, Faculty of Arts, University of Glasgow, 2008. Includes bibliographical references. Print version also available.

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Maria Franklin. Vita. Includes bibliographical references.

Thesis (M.A.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains v, 72 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 66-72).

Thesis (Ph. D.)--Oregon State University, 2006. / Printout. Includes bibliographical references (leaves 165-181). Also available on the World Wide Web.

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Yes / Since 2010 the Stonehenge Hidden Landscapes Project (SHLP) has undertaken extensive archaeological prospection across much of the landscape surrounding Stonehenge. These remote sensing and geophysical surveys have revealed a significant number of new sites and landscape features whilst providing new information on many previously known monuments. The project goal to integrate multimethod mapping over large areas of the landscape has also provided opportunities to re-interpret the landscape context of individual monuments and, in the case of the major henge at Durrington Walls, to generate novel insights into the structure and sequence of a monument which has attracted considerable research attention over many decades. This paper outlines the recent work of the SHLP and the results of survey at Durrington Walls that shed new light on this enigmatic monument including a site ‘hidden’ within the monument.

No / The first recorded crowdsourcing activity was in 1714 [1], with intermittent public event occurrences up until the millennium when such activities become widespread, spanning multiple domains. Crowdsourcing, however, is relatively novel as a methodology within virtual environment studies, in archaeology, and within the heritage domains where this research is focused. The studies that are being conducted are few and far between in comparison to other areas. This paper aims to develop a recent concept in crowdsourcing work termed `crowd behaviour mining' [2] using virtual environments, and to develop a unique concept in crowdsourcing activities that can be applied beyond the case studies presented here and to other domains that involve human behaviour as independent variables. The case studies described here use data from experiments involving separate heritage projects and conducted during two Royal Society Summer Science Exhibitions, in 2012 and 2015 respectively. `Crowd Behaviour Mining' analysis demonstrated a capacity to inform research in respect of potential patterns and trends across space and time as well as preferences between demographic user groups and the influence of experimenters during the experiments.

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