SNAMS 2018

Dr.Jean-Marie Le Goff, CERN, Switzerland
Abstract: Graph search and knowledge extraction related to communities.
According to Daniel Keim: "Visual analytics combines automated analysis techniques with interactive visualisations for an effective understanding, reasoning and decision making on the basis of very large and complex datasets”. The effectiveness of Visual analytics essentially depends on the seamless interplay between automated analysis and interactive visualisation. In particular, the later shall enable users to visually explore the outputs of automated analytics with a view to maximizing insight and assess quality, and on the other hand provide support to user-driven analytics within interactive visualisation contexts. This talk will address important aspects of data representation and processing to be addressed for a successful combination of (hypergraph) graph-based interactive visualisation with data analysis techniques.

Biography:
Jean-Marie Le Goff is a senior applied physicist and computer scientist that focuses on applying advanced IT techniques and concepts to Particle Physics. He first studied how to move objects over the internet using CORBA to service the control system middleware of the Large Hadron Collider (LHC) experiments at CERN. He then worked on extending the concepts of Unified Modeling Language (UML) layers with a description-driven layer for classes and objects which led to the development of a software (C.R.I.S.T.A.L.) dedicated to the tracking and assembly of detector parts. This versatile software found applications outside particle physics, in particular in industry as Enterprise Resource Programming (ERP) software and Business Process Management (BPM), and in accounting and finance. He is currently working on the use of emerging graph, semantic and structural abstraction techniques for data management and visualization in conjunction with techniques acquired in his previous work. This led to the development of the Collaboration Spotting software, a generic platform for visual analytics of complex datasets. The platform is being used to build various demonstrators including for compatibility and dependency relationships in software and metadata of an experiment at CERN, in scientometry with publication and patent information, pharmaco-analytics and neurosciences. Jean-Marie Le Goff holds a PhD in experimental particle physics and a DPhil in Computer Science. From 06/2003 – 06/2009, he has been Visiting Professor at the University of the West of England, Bristol, UK. .

Dr. Claudia Wagner, University Koblenz-Landau, Germany.
Abstract: Minorities in Social and Information Networks
Networks are the infrastructure of our social and professional life and also of modern information systems where billions of documents and entities are interlinked. However, not all nodes are equal in these networks. Often we observe attributes (e.g. gender or ethnicity) that define the group membership of a node. In this talk I will explore the role of minorities in social networks and information networks, provide empirical evidence for the disadvantage of minorities and discuss factors that may place minorities at a disadvantage. .

Biography:
Claudia Wagner is an assistant professor in Computer Science at University Koblenz-Landau and the interim scientific director of the Computational Social Science department at GESIS – Leibniz Institute for the Social Sciences. From 2016 - 2017 Wagner was the head of team Data Science at GESIS. Wagner received her PhD in Computer Science from Graz University of Technology in 2013, before she joined GESIS as postdoctoral researcher (2013-2016). During her PhD she conducted several international research internships, among others at HP labs, Xerox PARC and the Open University. Her research focuses on computational methods for analyzing social issues (e.g. gender inequality, sexism) and social phenomena (e.g. collective attention, culture) using digital traces.

SNAMS 2018

SNAMS 2018

SNAMS 2018

Women Collection

New Season

Keynote Speakers