HR: 0800h
AN: IN31A-01    [Abstracts]
TI: Spheres of Knowledge that Require Open-mindedness and Open Data
AU: * Branch, B D
EM: branch_db@yahoo.com
AB: The progress of social knowledge is impeded if not paralyzed at present by two fundamental factors, one impinging from knowledge without, and the other operating within the world of science itself' (Mannheim, Wirth, and Shils, p. xi). Hence, a Sphere of Knowledge (SK) defined here as a pseudo-ontology, may require a societal open-mindedness as defined by Dewey (1912). With professional open-mindedness and open data use, such social constructs may bridge and build relations towards efficient and effective societal problem solving. Open data use is defined where information has to be gathered from many sources to provided input for latter decision-making in the public interest. Here, spatial thinking may be the heart of data collection, analysis, and reporting that sustains an informatics experience among all parts of society. Here, at risk may be human survival and sustainability if policy and politics has hindered scientific or evidence-based transfer. Executive Order 12096, Coordinating Geographical Data Acquisition and Access: The National Spatial Data Infrastructure, by the federal government in 1994, may be an example of an informatics gap of knowledge where a federal mandate is not being connected to geosciences tools and community leaders that could benefit an open society. Critical in a SK is how an open society makes effective decisions if the issues it faces are new with unpredictable outcomes. Policy and politics should not impede the scientific or evidence based knowledge transfer but should be a root of democratic tools. Policy development and implementation should reflect such complexities' (Gardner, et al, 2003, p. 2). Conceptually, a SK may be too broad for any one disciplinary to address effectively as a next generation concern. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science questions are becoming more common. Concurrent with the growing demand for next generation information technology for science is a growth in semantic technologies' (McGuinness, Fox, and Brodaric, 2008, p. 1). Thus, if human survivability and sustainability exist in this manner as a societal issue, then effective interdisciplinary collaboration among social and hard sciences must effectively value the other to see an advance of evidence based and science based habits in the citizenry. The effective decision making of society may be dependent on the skills of science, its data sharing, and collaboration skills of multiple disciplines to reach feasible solutions for the public interest.
DE: 0850 Geoscience education research
DE: 6319 Institutions
DE: 6620 Science policy (0485)
DE: 7934 Impacts on technological systems
DE: 7938 Impacts on humans
SC: Earth and Space Science Informatics [IN]
MN: 2009 Joint Assembly