From: Jen Ziemke <j...@crisismappers.net> Colleagues,
Please join us this *Thursday, 19 July **at 12 Noon EST/New York* for the next Crisis Mappers Webinar in the series. [16:00 GMT]. http://www.timezoneconverter.com/ In this session,* *John Quinn <http://cit.mak.ac.ug/staff/jquinn/>, from the Department of Computer Science, Makerere University, Uganda will be discussing* Machine Learning Techniques for Improved Disease Mapping in the Developing World.* Efforts to map the spread of infectious disease in developing countries are often inadequate due to the relatively high costs of data collection. However the recent proliferation of communications hardware and network availability has made it possible to collect data and make inferences in new ways. I'll discuss two methods of enhanced disease mapping that we are trialling in Uganda: automated smartphone-based diagnosis of disease and natural language processing in spatial density estimation. Be sure to join us this Thursday! http://oculusinfo.acrobat.com/cmnet/ Special thanks to Oculus/GeoTime <http://www.oculusinfo.com/index2.html> for hosting the Crisis Mappers Webcasts. Best, Jen & Patrick Co-Founders and Co-Directors www.CrisisMappers.net/ <http://www.crisismappers.net/> The Humanitarian Technology Network
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