programs

Due to family illness, Professor Lazer will not be able to present on Wednesday. Event time: Wednesday, October 7, 2015 - 12:00pm to 1:30pm Event Type: Weekly Seminar Location: Yale Institute for Network Science See map 17 Hillhouse Avenue, 3rd Floor New Haven, CT 06511	Gossip: Identifying Central Individuals in Networks and Information Diffusion Processes Event time: Wednesday, September 30, 2015 - 12:00pm to 1:30pm Event Type: Weekly Seminar Location: Quantum Institute See map 17 Hillhouse Avenue, 4th Floor New Haven, CT 06511	YINS Seminar Archives: Michael Kearns (Apr. 29, 2015) “Games, Networks, and People” Speaker: Michael Kearns, Professor and National Center Chair; Department of Compu, ter and Information Science of the University of Pennsylvania; Founding Director, Warren Center for Network and Data Sciences; Founding Director, Penn program in Networked and Social Systems Engineering; Secondary Appointments in Statistics and Operations and Information Management in the Wharton School Slideshow image: Read more about YINS Seminar Archives: Michael Kearns (Apr. 29, 2015)	“Incentives in Human Computation” Speaker: Dengyong Zhou (Microsoft Research) Event time: Thursday, May 7, 2015 - 1:00pm Event Type: Speakers, Conferneces & Workshops Location: Yale Institute for Network Science See map 17 Hillhouse Ave, 3rd floor, room 335 New Haven, CT 06511
To get people to build toilets, turn to subsidies YINS April 21, 2015 Research published in Science Magazine last week shows that providing subsidies for the construction of latrines in northwest Bangladesh was more effective than information and motivation programs. Putting the two together produced even better results. Read about findings from YINS Affiliate Mushfiq Mobarak. External link: http://www.humanosphere.org/global-health/2015/04/to-get-people-to-build-toilets...	“Learning Sparse Gaussian Graphical Models” Speaker: Professor Sekhar Tatikonda Abstract: We provide an algorithm and analysis for learning the topology of sparse Gaussian Markov random fields. The notion of sparsity we consider is that of k-separability. Event time: Thursday, April 23, 2015 - 4:00pm Event Type: Speakers, Conferneces & Workshops Location: Leet Oliver Memorial Hall (LOM) Room 215 See map 12 Hillhouse Avenue New Haven, CT 06511	Money and education both needed to give toilet use a big boost YINS April 20, 2015 Poor sanitation presents a public health problem in underdeveloped parts of the world, where it is common practice to relieve oneself without utilizing a latrine. This practice contributes to disease and mortality in these areas, but it has not been clear how to increase sanitation coverage. To investigate the effects of alternative strategies to increase the use of latrines, researchers from Yale University and the University of Maryland examined the effects of different latrine-marketing strategies in rural Bangladesh communities. External link: http://arstechnica.com/science/2015/04/money-and-education-both-needed-to-give-t...	Speaker: Professor Michael Kearns Professor of Computer and Information Science Event time: Wednesday, April 29, 2015 - 12:00pm to 1:30pm Event Type: Weekly Seminar Location: Yale Institute for Network Science See map 17 Hillhouse Avenue, 3rd Floor New Haven, CT 06511
Speaker: Krishna Gummadi Event time: Wednesday, April 8, 2015 - 12:00pm to 1:30pm Event Type: Weekly Seminar Location: Yale Institute for Network Science See map 17 Hillhouse Avenue, 3rd Floor New Haven, CT 06511	Currently Funded: Developing a method for estimating the overall impact of behavioral interventions in a social network using egocentric network samples The investigators of this pilot are developing a computational method that uses egocentric network samples to learn about the structure of the underlying unobserved network. They use this method to estimate the expected overall impact of a behavioral intervention that is applied to a subset of a population and expected to spread to others in the population. This pilot is focused on methodological innovations in network science and uses anonymized mobile phone communication records to construct a large weighted social network. Read more about Currently Funded: Developing a method for estimating the overall impact of behavioral interventions in a social network using egocentric network samples

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