By Tom Miles GENEVA (Reuters) - An outbreak of meningitis with "unprecedented features" is spreading rapidly in Niger, with a tripling of cases in the past two weeks, hundreds of deaths so far this year and vaccines in short supply, the World Health Organization said on Friday. The outbreak is predominantly caused by serogroup C, which is normally found in wealthy countries and has never been of high concern in Africa, where it has been seen only in sporadic cases and localized outbreaks, the U.N. health agency said. Vaccines against this form of the disease were in short supply and the outbreak was of particular concern because it was affecting more than one million people in densely populated urban areas including the capital, Niamey, its website said. Meningitis is common across the "meningitis belt" from Senegal to Ethiopia in the dry season between December and June.
"Crowdsourcing for data integration: quality assurance, data fusion and conflation issues"
The value of crowdsourcing including citizen science data has been recognised as providing timely and complementary data in many different situations but this value is diminished as the data is often considered of low quality and potentially biased compared to authoritative. Quality assurance of crowdsourced data is therefore looked for either at the data collection stage or as a post-process. This quality assurance needs also to consider future use of this data (usability criterion) and particularly its combination under conflation or fusion schemes with authoritative data within spatial data infrastructures.
Contributions related to quality assurance considered in tandem with conflation or fusion within the remits of the ISSDQ for any crowdsourcing setting from citizen science to web crawling will be welcome to this session. Particular discussions around the following topics will be looked for:
-fusion and conflation algorithms in environmental policy making -quality standards and other metrics for fusion algorithms
-decision making improvement from data conflation/fusion of authoritative data and crowdsourced data
-metaquality aspects in data conflation/fusion and impact in decision making -impact of the multivariate role of the quality elements
Submissions should fit to the ISPRS Meeting Template - http://www.isprs.org/documents/orangebook/app5.aspx - and should range between 4 and 6 pages. You will be asked to mention the session where you wish to present your paper where you will mention “Crowdsourcing for data integration: quality assurance, data fusion and conflation issues”. This follows the general call for papers http://www.isprs- geospatialweek2015.org/files/ISSDQ2015_CallForPaperAndSession.pdf where more information on the conference can be found.
Note that the ISPRS Geospatial Week 2015 is from the 28th of September to the 3rd of October with the opportunity to register to multiple events/conferences.
Researchers say they can predict the outbreak of an infectious disease by watching people search Wikipedia for information and symptoms. The technique could yield a global disease-forecasting system, they suggest.
On the corroborating crowdsourced information! or even here forecasting!
No word has a value that can be identified independently of what else is in its vicinity.; Author: Marc Clifton; Updated: 25 Oct 2014; Section: Algorithms & Recipes; Chapter: General Programming; Updated: 25 Oct 2014...
Data visualisation has always been a vital weapon in the arsenal of an effective analyst, enabling complex data sets to be represented efficiently and complex ideas to be communicated with clarity and brevity.
The 12th International symposium on "Spatial Accuracy Assessment in Natural Resources and Environmental Sciences" is the latest in an academic conference series held every two years since 1994 under the auspices of the International Spatial Accuracy Research Association (ISARA,http://www.spatial-accuracy.org/).
The Symposium is a unique place to bring together experts from environmental sciences, natural resources, spatial statistics, and geographic information science, among other disciplines, developing theory and methods for assessing and understanding spatial accuracies and spatial uncertainties in, for example, mapping, monitoring systems, and spatial simulation platforms. This 12th edition of the symposia will focus on sensitivity analyses techniques for spatial modelling (ranking the importance of spatial input uncertainties) as well as the management of spatial uncertainty in Knowledge-Based Systems. Of course, treatments of other relevant accuracy and uncertainty topics are welcome, too.
Students are encouraged to submit and compete for the best Student Paper award, which will cover conference costs.
Important deadline dates
15 February 2016: Abstract submission (500 words)
31 March 2016: Abstract notification
22 April 2016: Short final paper submission (between 1000 and 1500 words)
According to a 2009 Gartner study, businesses estimated that they are losing an average of $8.2 million per year because of poor data quality. Five years on, we are storing, managing and relying on more data than ever before.
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