1HlG51J

636 UN GLOBAL PULSE, Mining Indonesian Tweets To Understand Food Price Crises, 2014, http://www.unglobalpulse.org/sites/default/files/Global-Pulse-Mining-Indonesian-Tweets-Food-Price-Crises%20copy.pdf.637 Paul Currion, '“If All You Have Is A Hammer” - How Useful Is Humanitarian Crowdsourcing?', Www.Crowdsourcing.Org, 2010,http://www.crowdsourcing.org/document/if-all-you-have-is-a-hammer---how-useful-is-humanitarian-crowdsourcing/3533.638 Nathan Morrow et al., Independent Evaluation Of The Ushahidi Haiti Project. Development Information Systems International (Development Information SystemsInternational, 2011), http://www.alnap.org/pool/files/1282.pdf.639 Christopher D. Elvidge et al., 'A Global Poverty Map Derived From Satellite Data', Computers & Geosciences 35, no. 8 (2009): 1652-1660,doi:10.1016/j.cageo.2009.01.009.640 Christopher Smith-Clarke, Afra Mashhadi and Licia Capra, Poverty On The Cheap: Estimating Poverty Maps Using Aggregated Mobile Communication Networks,accessed 12 June 2015, http://www0.cs.ucl.ac.uk/staff/l.capra/publications/chi14-chris.pdf.; Christopher Smith, Afra Mashhadi and Licia Capra, Ubiquitous SensingFor Mapping Poverty In Developing Countries, accessed 12 June 2015, http://www.cities.io/wp-content/uploads/2012/12/d4d-chris-submitted.pdf.641 Alberto Cavallo, 'Online And Official Price Indexes: Measuring Argentina's Inflation', Journal Of Monetary Economics 60, no. 2 (2013): 152-165,doi:10.1016/j.jmoneco.2012.10.002.642 Soto, V., Frias-Martinez, V., Virseda, J., Frias-Martinez, E., Prediction of Socioeconomic Levels using Cell Phone Records. Lecture Notes in Computer Science, 6787,pp 377-388 2011.643 N. Eagle, M. Macy and R. Claxton, 'Network Diversity And Economic Development', Science 328, no. 5981 (2010): 1029-1031, doi:10.1126/science.1186605.644 UN GLOBAL PULSE, Mining Indonesian Tweets To Understand Food Price Crises, 2014, http://www.unglobalpulse.org/sites/default/files/Global-Pulse-Mining-Indonesian-Tweets-Food-Price-Crises%20copy.pdf.645 Adeline Decuyper et al., Estimating Food Consumption And Poverty Indices With Mobile Phone Data (ICTEAM institute, United Nations Global Pulse, VulnerabilityAnalysis and Mapping, Real Impact Analytics, 2015), http://arxiv.org/pdf/1412.2595.pdf.646 UN Global Pulse, Using Mobile Phone Data And Airtime Credit Purchases To Estimate Food Security (New York: UN World Food Programme (WFP), UniversitéCatholique de Louvain, Real Impact Analytics, Pulse Lab New York, 2015); Adeline Decuyper et al., Estimating Food Consumption And Poverty Indices With MobilePhone Data (ICTEAM institute, United Nations Global Pulse, Vulnerability Analysis and Mapping, Real Impact Analytics, 2015), http://arxiv.org/pdf/1412.2595.pdf647 Eric Strobl and Robert O. Strobl, The Distributional Impact Of Large Dams: Evidence From Cropland Productivity In Africa, International Initiative For ImpactEvaluation, 2011, http://www.3ieimpact.org/en/evidence/impact-evaluations/details/553/.648 UNECE Statistics, 'Australia (ABS) - Remote Sensing For Agricultural And Land Use Estimation - Big Data - UNECE Statistics Wikis', accessed 12 June 2015,http://www1.unece.org/stat/platform/display/bigdata/Australia+%28ABS%29+-+Remote+Sensing+for+Agricultural+and+Land+Use+Estimation.649 P.S. Thenkabail, M.S.D.N. Gamage and V.U. Smakhtin, The Use Of Remote Sensing Data For Drought Assessment And Monitoring In Southwest Asia, ResearchReport 85 (International Water Management Institute, 2004), http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/pub085/RR85.pdf.650 Renhua Zhang et al., 'Drought Monitoring In Northern China Based On Remote Sensing Data And Land Surface Modeling', IGARSS 2008 - 2008 IEEE InternationalGeoscience And Remote Sensing Symposium, 2008, doi:10.1109/igarss.2008.4779485.651 Jeremy Ginsberg et al., 'Detecting Influenza Epidemics Using Search Engine Query Data', Nature 457, no. 7232 (2008): 1012-1014, doi:10.1038/nature07634.652 Qingyu Yuan et al., 'Monitoring Influenza Epidemics In China With Search Query From Baidu', Plos ONE 8, no. 5 (2013): e64323,doi:10.1371/journal.pone.0064323.653 Eiji Aramaki, Sachiko Maskawa and Mizuki Morita, Twitter Catches The Flu: Detecting Influenza Epidemics Using Twitter, accessed 12 June 2015,http://www.aclweb.org/anthology/D/D11/D11-1145.pdf.654 Lamb, A., et al. "Separating Fact from Fear: Tracking Flu Infections on Twitter." (North American Chapter of the Association for Computational Linguistics(NAACL), 2013.)655 For more information see www.influenzanet.eu656 For more information see www.flunearyou.org657 A. Wesolowski et al., 'Quantifying The Impact Of Human Mobility On Malaria', Science 338, no. 6104 (2012): 267-270, doi:10.1126/science.1223467.658 Amy Wesolowski et al., 'Commentary: Containing The Ebola Outbreak - The Potential And Challenge Of Mobile Network Data', Plos Curr, 2014,doi:10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e.659 R. Chunara, J. R. Andrews and J. S. Brownstein, 'Social And News Media Enable Estimation Of Epidemiological Patterns Early In The 2010 Haitian CholeraOutbreak', American Journal Of Tropical Medicine And Hygiene 86, no. 1 (2012): 39-45, doi:10.4269/ajtmh.2012.11-0597.660 Google.org, 'Google Dengue Trends', http://www.google.org/denguetrends/intl/en_us/.661 Emily H. Chan et al., 'Using Web Search Query Data To Monitor Dengue Epidemics: A New Model For Neglected Tropical Disease Surveillance', Plos NeglectedTropical Diseases 5, no. 5 (2011): e1206, doi:10.1371/journal.pntd.0001206.662 Camille Pelat et al., 'More Diseases Tracked By Using Google Trends', Emerg. Infect. Dis. 15, no. 8 (2009): 1327-1328, doi:10.3201/eid1508.090299.663 Heidi J Larson et al., 'Measuring Vaccine Confidence: Analysis Of Data Obtained By A Media Surveillance System Used To Analyse Public Concerns AboutVaccines', The Lancet Infectious Diseases 13, no. 7 (2013): 606-613, doi:10.1016/s1473-3099(13)70108-7.664 Michael J. Paul and Mark Dredze, You Are What You Tweet: Analyzing Twitter For Public Health, Proceedings Of The Fifth International AAAI Conference OnWeblogs And Social Media, accessed 12 June 2015, http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewFile/2880/3264.665 Marcel Salathé and Shashank Khandelwal, 'Assessing Vaccination Sentiments With Online Social Media: Implications For Infectious Disease Dynamics AndControl', Plos Computational Biology 7, no. 10 (2011): e1002199, doi:10.1371/journal.pcbi.1002199.666 UN Global Pulse. Understanding public perceptions of immunisation using social media. Brief. 2014667 Sean D. Young, Caitlin Rivers and Bryan Lewis, 'Methods Of Using Real-Time Social Media Technologies For Detection And Remote Monitoring Of HIV Outcomes',Preventive Medicine 63 (2014): 112-115, doi:10.1016/j.ypmed.2014.01.024.668 Sean D. Young, Caitlin Rivers and Bryan Lewis, 'Methods Of Using Real-Time Social Media Technologies For Detection And Remote Monitoring Of HIV Outcomes',Preventive Medicine 63 (2014): 112-115, doi:10.1016/j.ypmed.2014.01.024.669 Emcdda.europa.eu, 'EMCDDA | Wastewater Analysis', http://www.emcdda.europa.eu/wastewater-analysis.670 Nih.gov, 'NIH System To Monitor Emerging Drug Trends', http://www.nih.gov/news/health/jul2014/nida-17.htm; Drugabuse.gov, 'Community EpidemiologyWork Group (CEWG) | National Institute On Drug Abuse (NIDA)', http://www.drugabuse.gov/about-nida/organization/workgroups-interest-groupsconsortia/community-epidemiology-work-group-cewg.190