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Synopsis |
Geoinformatic
surveillance for spatial and temporal hotspot detection and prioritization
is a critical need for the 21Century. A declared need is around for statistical
geoinformatics and software infrastructure for spatial and spatiotemporal
hotspot detection, prioritization, early warning, and sustainable management.
Hotspot means an unusual phenomenon,
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METHODOLOGY |
Our methodology involves an innovation of the popular
circle-based spatial scan statistic methodology. In particular, it employs
the notion of an upper level set and is accordingly called the upper level
set scan statistic system, pointing to the next generation of a sophisticated
analytical and computational system, effective for the detection of arbitrarily
shaped hotspots along spatiotemporal dimensions. We also propose a novel prioritization
scheme based on multiple indicator and stakeholder criteria without having
to integrate indicators into an index, using Hasse diagrams and partially
ordered sets. It is accordingly called poset prioritization and ranking
system. We propose a cross-disciplinary collaboration to design and build
the prototype system for surveillance infrastructure of hotspot detection
and prioritization. The methodological toolbox and the software toolkit developed
will support and leverage core missions of several agencies as well as their
interactive counterparts in the society. The research advances in the allied
sciences and technologies necessary to make such a system work are the thrust
of this five-year project for digital governance. The project will have a
dual disciplinary and cross-disciplinary thrust. Dialogues and discussions
will be particularly welcomed, leading potentially to well considered synergistic
case studies. The collaborative case studies are expected to be conceptual,
structural, methodological, computational, applicational, developmental, refinemental,
validational, and/or visualizational in their individual thrust.
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ABOUT THE SHORTCOURSE WORKSHOP |
This
short course workshop is driven by the pertinent course lectures and a wide
variety of case studies of interest to agencies, academia, and private sector
involving critical societal issues, such as public health, ecosystem health,
ecohealth, biodiversity and threats to biodiversity, emerging infectious disease,
water management and conservation, carbon sources and sinks, persistent poverty,
environmental justice, crop pathogens, invasive species management, biosurveillance,
biosecurity, disease biogeoinformatics, social networks, sensor networks,
hospital networks and syndromic surveillance, video mining, early warning,
tsunami inundation, remote sensing and disaster management. Also space-time
disease, poverty, pollution, object identification and tracking,
For general information on Short Courses and Workshops, please see |
http://www.stat.psu.edu/hotspots/pdfs/OverallInfo_ShortCourseandWorkshops.pdf
http://www.stat.psu.edu/~gpp/Workshops.htm
Distinguished Professor and Director,
Penn State Center for Statistical Ecology and Environmental Statistics
Principal Investigator,
NSF Digital Government Research Project for Hotspot GeoInformatics
Former Visiting Professor, Harvard School of Public Health
Editor-in-Chief, Environmental and Ecological Statistics
Fellow ASA, IMS, AAAS, RSS, ISI, IISA, NIE, DSEA
Registration fees will be reduced/waived for graduate research students, interested government scientists and acceptable case studies presenters.