My4Sight: A Human Computation Platform for Improving Flu Predictions

dc.contributor.authorAkupatni, Vivek Bharathen
dc.contributor.committeechairMarathe, Madhav Vishnuen
dc.contributor.committeememberRamakrishnan, Narenen
dc.contributor.committeememberChen, Jiangzhuoen
dc.contributor.committeememberBisset, Keith R.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2015-09-18T20:04:48Zen
dc.date.available2015-09-18T20:04:48Zen
dc.date.issued2015-09-17en
dc.description.abstractWhile many human computation (human-in-the-loop) systems exist in the field of Artificial Intelligence (AI) to solve problems that can't be solved by computers alone, comparatively fewer platforms exist for collecting human knowledge, and evaluation of various techniques for harnessing human insights in improving forecasting models for infectious diseases, such as Influenza and Ebola. In this thesis, we present the design and implementation of My4Sight, a human computation system developed to harness human insights and intelligence to improve forecasting models. This web-accessible system simplifies the collection of human insights through the careful design of the following two tasks: (i) asking users to rank system-generated forecasts in order of likelihood; and (ii) allowing users to improve upon an existing system-generated prediction. The structured output collected from querying human computers can then be used in building better forecasting models. My4Sight is designed to be a complete end-to- end analytical platform, and provides access to data collection features and statistical tools that are applied to the collected data. The results are communicated to the user, wherever applicable, in the form of visualizations for easier data comprehension. With My4Sight, this thesis makes a valuable contribution to the field of epidemiology by providing the necessary data and infrastructure platform to improve forecasts in real time by harnessing the wisdom of the crowd.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:6156en
dc.identifier.urihttp://hdl.handle.net/10919/56579en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecthuman computationen
dc.subjecthuman-in-the-loopen
dc.subjectcrowd sourcingen
dc.subjectmy4sighten
dc.subjectinfluenza forecastingen
dc.titleMy4Sight: A Human Computation Platform for Improving Flu Predictionsen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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