Speakers SIREN 2008
- Radia Perlman
- Catholijn Jonker
- Jan Kleinnijenhuis
- Frank Harmsen
When you click on the name of the presentation, an PDF of the Powerpoint will open.
Radia Perlman (Sun Microsystems)
|
Biography
|
Radia Perlman specializes in network and security protocols. She is the inventor of the spanning tree algorithm used by bridges, and the mechanisms that make modern link state protocols efficient and robust. She is the author of two textbooks, and has a PhD from MIT in computer science. Her thesis on routing in the presence of malicious failures remains the most important work in routing security. She has made contributions in diverse areas such as, in network security, credentials download, strong password protocols, analysis and redesign of IPsec's IKE protocols, PKI models, efficient certificate revocation, and distributed authorization. In routing, her contributions include making link state protocols robust and scalable, simplifying the IP multicast model, and routing with policies.
Interview in I/O Magazine (in Dutch)
|
| Title |
Mythology and Folklore of Computer Network Protocol Design |
|
Abstract
|
It’s natural to assume that network protocol design is by now a well-known science, where the designers of today’s standards take care to understand the tricks and pitfalls learned from previous protocols. This talk dispells this and other myths. It is intended to be provocative, making people question things people assume are true; instructive, giving hints as to how to avoid some of the problems in future protocols; and inspirational, convincing the community that there are ample opportunities to make contributions. We'll sort out bridges, routers, and switches, and how all these maddeningly similar devices came to be, demystify exactly what IPv6 is, and how it compares to other alternatives that existed for replacing IPv4, and obvious protocol tricks that everyone seems to get wrong. |
Catholijn Jonker (TUD)
|
Biography
|
Catholijn Jonker (1967) is full professor of Man-Machine Interaction at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology. She studied computer science, and did her PhD studies at Utrecht University. After a post-doc position in Bern, Switzerland, she became assistant (later associate) professor at the Department of Artificial Intelligence of the Vrije Universiteit Amsterdam. From september 2004 unitl september 2006 she was a full professor of Artificial Intelligence / Cognitive Science at the Nijmegen Institute of Cognition and Information of the Radboud University Nijmegen. She chaired De Jonge Akademie (Young Academy) of the KNAW (The Royal Netherlands Society of Arts and Sciences) in 2005 and 2006, and she is a member of the same organisation from 2005 through 2010. |
|
Title
|
Negotiation Dynamics |
|
Abstract
|
The process of reaching an agreement in a bilateral negotiation to a large extent determines the quality of the agreement. The tactics of proposing an offer and the perception of offers made by the other party determine how both parties engage each other and, as a consequence, the kind of agreement they will establish. It thus is important to gain a better understanding of the tactics and potential other factors that play a role in shaping that process. A negotiation, however, is typically judged by the efficiency of the outcome. The process of reaching an outcome has received less attention in literature and the analysis of the negotiation process is typically not as rigorous nor is it based on formal tools. In this talk I will present a number of key concepts to analyze and study the dynamics of negotiation. Foremost among them are the types of moves made by parties while exchanging offers. The concepts introduced can be used to study both the performance of human negotiators as well as automated negotiation systems. The ideas presented will be illustrated by a number of examples. |
Jan Kleinnijenhuis (VU University)
|
Biography
|
Jan Kleinnijenhuis (1954) is full professor of Communication Science at VU University Amsterdam in the faculty of Social Sciences. He also studied political science, and defended his PhD thesis (1990), which dealt with the processing of economic and political information by journalists, at VU University Amsterdam. From 1978 onwards he has published work about content analysis, which is the social scientific endeavour to reveal the semantics of economic and political texts as a means for rendering a better understanding of political and economic games, as well as better predictions of the newsworthiness of information for journalists and of media effects on audiences. Kleinnijenhuis is the coordinator of the research programme on Social and Communication Networks of the interdisciplinary VU Network Institute. |
|
Title
|
Semantic network analysis: old ideas and new means to master the information society |
|
Abstract
|
The emergence of the World Wide Web has resulted in the spectacular growth of short-term information exchange between citizens, media and newsworthy organizations in the economic and political realm. The potency to build up, maintain and reproduce social networks has, conversely, become the key success factor for ICTs. To satisfy the information needs of future users, it is not enough to produce lists of documents from uncertain sources that match tentative keywords. Users are in need of an understanding of the dynamics of the network itself, as well as of the cognitive-affective networks of other users. Semantic network analysis, which is based on ideas from the social sciences to extract core beliefs and relevant facts from available texts, can help users achieve this understanding. Illustrations of the potency of semantic network analysis for predicting how information will be interpreted and used will be derived from Dutch election campaign coverage as well as other examples. |
Frank Harmsen (Capgemini, UM)
|
Biography
|
Prof. Dr. Frank Harmsen (39) is vice president at Capgemini Netherlands and part-time professor at Maastricht University. He studied Mathematics and Computer Science at Radboud University Nijmegen (1992) and got his PhD in Computer Science at the University of Twente (1997). In 1996 Frank joined Ernst & Young Consulting and since then, he combined his work for clients with his research interests: situational method engineering, IT organization design, enterprise architecture, sourcing strategies and knowledge management. He authored 40 scientific conference and journal papers, book chapters and books. Currently Frank is responsible for the Enterprise Architecture discipline of Capgemini Netherlands and Capgemini’s office in Heerlen. |
|
Title
|
Knowledge Management of Global Work |
|
Abstract
|
Globally Distributed Work (in short: Global Work) deals with concepts, processes and solutions to support work that is distributed around the world. In relation to IT processes, it provides, for instance, criteria to decide which IT processes should be executed where, how to split up a process, how to manage the entire IT process and how to manage knowledge exchange between the various process locations . The coming years, European IT organisations will distribute their work on a global level: concepts like Rightshoring™ are here to stay and will expand enormously. Knowledge management will play a key role in these efforts, on two levels:
- The level of the information technology to be distributed. Often, knowledge of information systems is tacit and implicit. When an IS is transferred to the other side of the globe, organisations run the risk of losing essential knowledge;
- The level of the processes and projects to be distributed, for instance the process of changing an IS or the process of elicitating IS requirements. How to ensure that knowledge of these globally distributed processes is managed?
In the context of globally distributed work, knowledge management has to deal with a wide variety of issues, such as, legal, security, privacy, cultural, and language issues. In my presentation, I will elaborate on this. I will present some concepts in global work, some research results regarding the decision what to do where and I will show some examples of how knowledge and information can be managed in a global context.
|
|