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UID:7193@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20181123T000000
DTEND;TZID=Europe/Paris:20181126T000000
DTSTAMP:20241120T203445Z
URL:https://www.i2m.univ-amu.fr/evenements/young-bayesians-and-big-data-fo
 r-social-good-morlet-chair-kerrie-mengersen/
SUMMARY:Workshop (CIRM\, Luminy\, Marseille): Young Bayesians and Big Data 
 for Social Good (Morlet Chair Kerrie Mengersen)
DESCRIPTION:Workshop: \n\n\n\n CIRM - Jean-Morlet Chair \n Kerrie MENGERSEN
  &amp\; Pierre PUDLO\n\nBayesian Modelling and Analysis of Big Data\n\nMod
 élisation bayésienne et analyse du Big data\n\n\n 2018-Semester 2 \n\n\n
 \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWORKSHOP\nYoung Bayesians and Big Data for
  Social Good\nJeunes bayésiens et Big Data pour le bien de l'humanité\n(
 event 1911)\nDates: 23-26 November 2018\nPlace: CIRM (Marseille Luminy\, F
 rance)\n\n\n\n  \n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
 \n\n\n\n\n\n SCHEDULE \n\n\n\n\n\n BOOKLET \n\n\n\n\n\n PARTICIPANTS \n\n\
 n\n\n\n\n  \n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\nRESUME\n\nLe concep
 t de " données et statistiques pour le bien social " suscite un intérêt
  et un engagement international croissant\, les volontaires et les organis
 ations travaillant sur des questions telles que les droits de l'homme\, le
 s migrations\, la justice sociale etc. Il existe un intérêt internationa
 l proportionnel pour la modélisation et le calcul bayésien\, en particul
 ier dans le domaine des Big Data.\nLe but de ce workshop  est de réunir 
 ces deux secteurs d'activité.\n\n\n\n\n\n\n\n\n\n\nDESCRIPTION\n\n\nThere
  is increasing international interest and engagement in the concept of 'da
 ta and statistics for social good'\, with volunteers and organisations wo
 rking on issues such as human rights\, migration\, social justice and so 
 on. There is commensurate international interest in Bayesian modelling and
  computation\, particularly in the area of Big Data.\n\nThe purpose of th
 is workshop is to build on an emerging endeavour to bring these two areas 
 of activity together. Participants in the workshop will share research in
 to Bayesian methods and big data for social good\, as well as discuss rel
 ated problems that might be addressed using Bayesian approaches. In additi
 on to formal presentations\, participants will form collaborative groups 
 to work on new problems and present their findings at a final session on 
 the last day of the workshop which overlaps with a more general conference
  on 'Bayesian Statistics in the Big Data Era'.\n\nThe workshop will provi
 de opportunities for early career researchers around the world who are int
 erested in issues of social good to form lifelong international networks 
 for their immediate and future careers. The semi-structured environment w
 ill encourage and progress new research opportunities. The anticipated out
 puts of the workshop include outlines of journal articles and/or chapters
  of a new book on this topic\, as well as a starting place for  practica
 l solutions to problems posed. ​\n\n\n\n \n\nORGANIZING COMMITTEE\n\n\
 n 	Kerrie Mengersen (QUT Brisbane)\n 	Denys Pommeret (Aix-Marseille Unive
 rsité)\n 	Pierre Pudlo (Aix-Marseille Université)\n 	Christian P. Robert
  (Université Paris-Dauphine)\n\n\n\nSPEAKERS\n\n\n 	Tamara Broderick (MI
 T) - Covariances\, robustness\, and variational Bayes\n 	David Corliss (Pe
 ace Work) - Developing the Future of Data For Special Good   - VIDEO -\n 
 	Julien Cornebise (Element AI) -  Live call: Bayes/Big Data/Social Good\n
  	Andrew Gelman (Columbia University) - Honesty and transparency are not e
 nough\n 	Logan Graham (Oxford) &amp\; Brody Foy (Oxford) Title TBC​\n 
 	Antonietta Mira (University Svizzera and University of Insubria) - Big 
 data for health   - VIDEO - \n 	Cody Ross (Max Planck Institute for Evo
 lutionary Anthropology) - Resolution of apparent paradoxes in the race-spe
 cific frequency of use-of-force by police\n 	Rebecca Steorts (Duke Univer
 sity) - Video\n\n\n\n\n\n[su_spacer]\nPRESENTERS\n\n\n 	David Corliss (Pea
 ce Work) - Bayesian Capture - Recapture in Social Justice Research\n 	Etha
 n Goan (Queensland University of Technology) - Deep Learning we can trust
 \n 	Charles Gray (La Trobe University) - Open and reproducible data analy
 sis\n 	Jacinta Holloway (Queensland University of Technology) - Statistic
 al analysis of big data to measure sustainable development goals\n\n\n 	Br
 unero Liseo (Sapienza University Roma) - A Bayesian approach for Normal 
 regression with deduplicated data\n 	Kerrie Mengersen (QUT Brisbane) - Ba
 yesian Networks for conservation\n 	Christian P. Robert  (Université Pa
 ris-Dauphine) - Inference in generative models using the Wasserstein dista
 nce\n 	Em Rushworth (Queensland University of Technology)- Working With Co
 nstraint: Towards a Bayesian Approach for Compositional Data\n 	Andrea Tan
 credi (Sapienza University Roma) - A unified framework for de-duplication
  and population size estimation\n 	​Gajendra Vishwakarma (Indian Instit
 ute of Technology Dhanbad) - Bayesian State-Space Modeling in Gene Express
 ion Data Analysis: An Application with Biomarker Prediction\n 	Alexander V
 olfovsky (Duke University) - Design of experiments\, networks and social g
 ood\n 	Bihan Zhuang (Duke University) - Entity Resolution with an Applica
 tion: the El Salvadorian Conflict Data\n\n\n\nSPONSORS \n\n\n\n\n\n\n\n\n\
 n\n  \n\n\n\n\n\n  \n\n\n\n\n\n\n\n\n\n\n\n\n
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 018/11/image_alea-sta-hal-01367308-Simulations_of_the_3-level_memory_rando
 m_field-fig.3-Doukhan-Pommeret-Rynkiewicz-Salhi-x450.jpg
CATEGORIES:Manifestation scientifique,Morlet Chair Semester,Morlet
 Workshop
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TZID:Europe/Paris
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BEGIN:STANDARD
DTSTART:20181028T020000
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