Conférenciers invités > Sihem Amer-Yahia

Titre de l'exposé

Task Assignment Optimization in Crowdsourcing (and its applications to crisis management)

Présentation

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Résumé

A crowdsourcing process can be viewed as a combination of three components: worker skill estimation, worker-to-task assignment, and task accuracy evaluation. The reason why crowdsourcing today is so popular is that tasks are small, independent, homogeneous, and do not require a long engagement from workers. The crowd is typically volatile, its arrival and departure asynchronous, and its levels of attention and accuracy variable. In most systems, task assignment is done via a self-appointment by workers. I will argue that the optimization of worker-to-task assignment is central to the effectiveness of a crowdsourcing platform and present a uniform framework that allows to formulate worker-to-task assignment as a series of optimization goals with different goals including accurate and timely crisis reporting.

Sihem Amer-Yahia is DR1 CNRS at LIG in Grenoble where she leads the SLIDE team. Her interests are at the intersection of large-scale data management and data analytics. Before joining CNRS, she was Principal Scientist at the Qatar Computing Research Institute, Senior Scientist at Yahoo! Research and at&t Labs. Sihem has served on the SIGMOD Executive Board, is a member of the VLDB and the EDBT Endowments. She is the Editor-in-Chief of the VLDB Journal for Europe and Africa and is on the editorial boards of TODS and the Information Systems Journal. She is currently serving as PC chair of BDA 2015 and of SIGMOD Industrial 2015. Sihem received her Ph.D. in Computer Science from Paris-Orsay and INRIA in 1999, and her Diplôme d'Ingénieur from INI, Algeria.

Docteure en Informatique de l'Université Paris-Sud et de l'INRIA, Sihem Amer-Yahia est spécialiste de la gestion des informations dans les réseaux sociaux. Elle a commencé sa carrière à New -York au sein de la compagnie américaine AT&T avant de rejoindre le Yahoo! Labs en 2006 en tant que chercheuse senior. Elle étudie alors de nouvelles manières de connecter les énormes quantités de données produites par les utilisateurs et d'en extraire de la valeur. Après un passage à l'institut de recherche en informatique du Qatar (QCRI) en 2011, où elle met au point, à travers une collaboration avec des chercheurs du MIT, de nouveaux outils d'analyse pour aider les journalistes à mieux connaître leur public, elle intègre le CNRS en tant que Directrice de Recherche au Laboratoire d'Informatique de Grenoble où elle dirige l'équipe SLIDE.