Workshop on Complex Sciences in the Engineering of Computing Systems
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CSECS 2012: International Workshop on Complex Sciences in the Engineering of Computing Systems

February 28th, 2012. Munich, Germany

Workshop Organizers

Ingo Scholtes (ETH Zurich, Switzerland)
Claudio J. Tessone (ETH Zurich, Switzerland)
Jacob Beal (BBN Technologies, MIT CSAIL)

Aims and Scope

The emergent properties of complex adaptive systems pervade natural and social sciences. Interestingly, also man-made systems like the Internet, the Web or Peer-to-Peer networks are being studied by an increasingly large and diverse research community that is frequently subsumed under the term Complex Science. Among the current research, the study of the properties of complex network systems, as well as dynamical processes unfolding within them have been particularly successful. Such studies have uncovered some of the principles that contribute to the astonishing robustness and adaptivity of various systems which can be framed in the formalism of networks. Some of these systems also exhibit properties of self-organization. During the last decade, these advances have paved the way for a number of interesting engineering applications. From an operative viewpoint, the resulting research framework allows to apply the toolkit of statistical physics to a wide variety of systems, each composed by a sufficiently large number of interacting elements. In this workshop, we seek to shed light on how methods, abstractions and ideas from the statistical physics perspective on complex adaptive systems –with examples coming from nature, society and technology– can be utilized in the design, modeling and analysis of current and future computing systems. Being a particularly promising domain, a special emphasis will be laid on how the recently developed statistical mechanics of networks –encompassing complex and dynamic structures– can facilitate the design of robust and adaptive computing architectures that inherit some of the remarkable properties of natural systems. An important aim of the workshop is to strengthen the ties between complementary research communities that otherwise rarely get in contact. By this, we hope to contribute to the formation of a community centered around computer engineering, and with an interdisciplinary component, that focuses on the following question: how can the dynamics unfolding in computing infrastructures be analyzed, as well as actively managed and utilized, based on abstractions and methods from statistical physics.

Topics of Interest

This workshop intends to address the above general questions in the context of different computing systems. The focus of the workshop includes –but is not limited to– the following concrete aspects of physics-inspired approaches in the design of computing systems:

Program and Schedule

09:00-09:45 Keynote by Paul Lukowicz: The futurICT Flagship project: Towards Socially Aware Computing
09:45-10:30 Ingo Scholtes: TbA
10:30-11:00 Coffee Break
11:00-11:45 Marcelo Serrano Zanetti and Frank Schweitzer: A Network Perspective on Software Modularity
11:45-12:30 Aimee Bailey, Quan Minh Bui, J. Doyne Farmer, Robert Margolis and Ramamoorthy Ramesh: Forecasting Technological Innovation
12:30-14:00 Lunch Break
14:00-14:45 Invited talk by Markus Esch: TbA
14:45-15:30 Claudio J. Tessone: TbA
15:15-15:45 Coffee Break
15:45-16:30 Shota Ishikawa, Yutaka Arakawa, Shigeaki Tagashira and Akira Fukuda: Hot-Topics Detection in Local Areas Using Twitter and Wikipedia
16:30-17:15 Invited talk by Jean Botev: TbA
17:15- Discussion and Closing


The organizers welcome the submission of papers in English language of up to 12 pages describing original work previously unpublished and currently not under review elsewhere. Interdisciplinary work that demonstrates how methods, models and abstractions from complex sciences and statistical physics can facilitate the engineering of reliable and adaptive computing architectures is in particular solicited. All submissions will be blindly reviewed by at least three members of the program committee. Accepted papers will be published in the GI Edition – Lecture Notes in Informatics (LNI) series. Selected high-quality contributions of interest to a wider community may be invited to resubmit an extended version to the interdisciplinary journal Advances in Complex Systems.

Click here to submit your manuscript to EasyChair

Papers should be submitted in pdf or postscript format. They should be formatted according to the GI Lecture Notes in Informatics (LNI) style and do not exceed 12 pages.

Important dates

Submission Deadline
December 22th, 2011

Notification of Acceptance
Two weeks after submission. January 4th, 2012.

Camera-ready Deadline
January 16th, 2012 (hard)

Workshop Date
February 28th, 2012

Please note that these deadlines are strict.

Organising Committee

Program Committee


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