Climate challenges, vulnerabilities, and food security

This paper identifies rare climate challenges in the long-term history of seven areas, three in the subpolar North Atlantic Islands and four in the arid-to-semiarid deserts of the US Southwest. For each case, the vulnerability to food shortage before the climate challenge is quantified based on eight variables encompassing both environmental and social domains. These data are used to evaluate the relationship between the “weight” of vulnerability before a climate challenge and the nature of social change and food security following a challenge. The outcome of this work is directly applicable to debates about disaster management policy

Openness and archaeology's information ecosystem

The rise of the World Wide Web represents one of the most significant transitions in communicationssince the printing press or even since the origins of writing. To Open Access and Open Data advocates,the Web offers great opportunity for expanding the accessibility, scale, diversity, and quality ofarchaeological communications. Nevertheless, Open Access and Open Data face steep adoption barriers.Critics wrongfully see Open Access as a threat to peer review. Others see data transparency as naivelytechnocratic, and lacking in an appreciation of archaeology’s social and professional incentive structure.However, as argued in this paper, the Open Access and Open Data movements do not gloss oversustainability, quality and professional incentive concerns. Rather, these reform movements offer muchneeded and trenchant critiques of the Academy’s many dysfunctions. These dysfunctions, ranging fromthe expectations of tenure and review committees to the structure of the academic publishing industry, golargely unknown and unremarked by most archaeologists. At a time of cutting fiscal austerity, OpenAccess and Open Data offer desperately needed ways to expand research opportunities, reduce costs andexpand the equity and effectiveness of archaeological communication

Geographic Visualization in Archaeology

Archaeologists are often considered frontrunners in employing spatial approaches within the social sciences and humanities, including geospatial technologies such as geographic information systems (GIS) that are now routinely used in archaeology. Since the late 1980s, GIS has mainly been used to support data collection and management as well as spatial analysis and modeling. While fruitful, these efforts have arguably neglected the potential contribution of advanced visualization methods to the generation of broader archaeological knowledge. This paper reviews the use of GIS in archaeology from a geographic visualization (geovisual) perspective and examines how these methods can broaden the scope of archaeological research in an era of more user-friendly cyber-infrastructures. Like most computational databases, GIS do not easily support temporal data. This limitation is particularly problematic in archaeology because processes and events are best understood in space and time. To deal with such shortcomings in existing tools, archaeologists often end up having to reduce the diversity and complexity of archaeological phenomena. Recent developments in geographic visualization begin to address some of these issues, and are pertinent in the globalized world as archaeologists amass vast new bodies of geo-referenced information and work towards integrating them with traditional archaeological data. Greater effort in developing geovisualization and geovisual analytics appropriate for archaeological data can create opportunities to visualize, navigate and assess different sources of information within the larger archaeological community, thus enhancing possibilities for collaborative research and new forms of critical inquiry

QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and partial knowledge, CleanDB

An important reality when integrating scientific data is the fact that data may often be “missing”, partially specified, or conflicting. Therefore, in this paper, we present an assertion-based data model that captures both value-based and structure-based “nulls” in data. We also introduce the QUEST system, which leverages the proposed model for Query-driven Exploration of Semistructured data with conflicT s and partial knowledge. Our approach to integration lies in enabling researchers to observe and resolve conflicts in the data by considering the context provided by the data requirements of a given research question. In particular, we discuss how pathcompatibility can be leveraged, within the context of a query, to develop a high-level understanding of conflicts and nulls in data. 1 Motivation and Related Work Through a joint effort of archaeologists and computer scientists, we are developing an integrated framework of knowledge-based collaborative tools that will provide the foundation for a shared information infrastructure for archaeology and contribute substantially to a shared knowledge infrastructure of science [21]. Today, the incapacity to integrate data across projects cripples archaeologists ’ and other scientists’ efforts to recognize phenomena operating on large spatio-temporal scales and to conduct crucial comparative studies [20, 21]. A major challenge with integration of data is that the meaning of an archaeological observation is rarely self-evident

Paleodata for and from archaeology

Archaeology depends on, and generates, proxy paleoclimatic and paleoenvironmental data. We review various initiatives, most quite recent, by which archaeologists seek to make these data more readily discoverable and useful, to facilitate the cumulation of research.Theme issue on BUILDING AND HARNESSING OPEN PALEODATA.EDITORS: John W. Williams, Alicia J. Newton, Darrell S. Kaufman and Lucien von GuntenVISEADSEA