Name: Dr. Denis Bouyssou – Senior Researcher (Directeur de Recherche) at the Centre National de Recherche Scientifique in Paris,
Denis Bouyssou is currently Senior Researcher (Directeur de Recherche) at the Centre National de Recherche Scientifique in Paris, France. From 1987 to 2001 he has been professor of Decision Science at the ESSEC Business School, Paris, France. He has held invited research positions at the Université Libre de Bruxelles (Brussels, Belgium) and Université Laval (Québec, Canada). He has been a consultant for various private and public firms in France.
Denis Bouyssou is a former president of ROADEF, the French OR Society, and former secretary of EURO (the European association of OR societies).
Denis Bouyssou is the former co-editor-in-chief of 4OR. He is a member of the editorial committee of Theory and Decision, advisory editor of the Journal of Multi-Criteria Decision Analysis and on the editorial board of Risk, Decision and Policy.
Denis Bouyssou is the co-author of four books on MCDM. He has published over 50 articles in various journals and contributed volumes. His main current research interests are centered on Decision Theory (Preference modeling, Decision under Risk and Uncertainty, Social Choice Theory and MCDM).
Subject: Should you believe in the Shanghai ranking ?
This talk proposes a critical analysis of the ‘‘Academic Ranking of World Universities’’, published every year and more commonly known as the Shanghai ranking. After having recalled how the ranking is built, we first discuss the relevance of the criteria and then analyze the proposed aggregation method. Our analysis uses tools and concepts from Multiple Criteria Decision Making (MCDM). Our main conclusions are that the criteria that are used are not relevant, that the aggregation methodology is plagued by a number of major problems and that the whole exercise suffers from an insufficient attention paid to fundamental structuring issues. Hence, our view is that the Shanghai ranking, in spite of the media coverage it receives, does not qualify as a useful and pertinent tool to discuss the ‘‘quality’’ of academic institutions, let alone to guide the choice of students and family or to promote reforms of higher education systems. We outline the type of work that should be undertaken to offer sound alternatives to the Shanghai ranking. This talk is based on a joint paper with Jean-Charles Billaut and Philippe Vincke.
Name: Dr. Sihem Amer-Yahia – Principal
Research Scientist at Qatar Computing Research Center (QCRI) where she leads the Social Computing group in Doha, Qatar (http://www.qcri.qa/sihemameryahia/).
Subject: Social Analytics to Encourage Collaboration on the Social Web of News
The proliferation of social media is undoubtedly changing the way people produce and consume news online. Editors and publishers in newsrooms heavily rely on citizen journalism to cover the latest events. Yet, the Social Web has yet to provide value to encourage collaboration. We conjecture that value lies in aggregating millions of user actions along three dimensions: topic, geography, and time. I will present SPAUE and MAQSA, two systems for social analytics on news. SPAUE analyzes user traffic while MAQSA is content-centric. SPAUE uses graph traversal primitives to aggregate the collective behavior of users represented as a set of actions such as browsing, posting an opinion and sharing news stories. MAQSA provides an interactive topic-centric dashboard that summarizes social activity around news articles. Both SPAUE and MAQSA rely on scalable algorithms that enable an interactive specification of topics, actions, and dates and dynamically process large collections of relevant articles.