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The SSC Workshop held in Orsay on 1st July 2009 focused on understanding the dynamics of various complex systems using computer experiments and analytical methods. Areas of exploration included disease spread, financial networks, rumor propagation, traffic patterns, climate systems, and immunization strategies. The workshop aimed to promote the use of Grid technology and enhance collaboration through training, a scientific gateway, and support for metadata management. Participants engaged in discussions about optimal paths, risk management, and the prediction of extreme events in complex scientific research.
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2nd EGEE NA4 SSC WorkshopComplex Science SSC P. Argyrakis Aristotle University of Thessaloniki Orsay, Wednesday 1st July 2009
Scientific Scope Using computer experiments and analytical methods we study the dynamics of • Spreading of diseases • Financial networks (cross-correlation matrices) • Rumor and information propagation • Traffic flow patterns • Climate systems and deduct • Immunization strategies • Optimal paths and lengths • Best practices • Risk management • Prediction of extreme events Complex Science SSC, Orsay, 01 July 2009
Scientific Scope Using computer experiments and analytical methods we study the dynamics of • Spreading of diseases • Financial networks (cross-correlation matrices) • Rumor and information propagation • Traffic flow patterns • Climate systems and deduct • Immunization strategies • Optimal paths and lengths • Best practices • Risk management • Prediction of extreme events Complex Science SSC, Orsay, 01 July 2009 3
Scientific Scope Using computer experiments and analytical methods we study the dynamics of • Spreading of diseases • Financial networks (cross-correlation matrices) • Rumor and information propagation • Traffic flow patterns • Climate systems and deduct • Immunization strategies • Optimal paths and lengths • Best practices • Risk management • Prediction of extreme events Complex Science SSC, Orsay, 01 July 2009 4
Scientific Scope Using computer experiments and analytical methods we study the dynamics of • Spreading of diseases • Financial networks (cross-correlation matrices) • Rumor and information propagation • Traffic flow patterns • Climate systems and deduct • Immunization strategies • Optimal paths and lengths • Best practices • Risk management • Prediction of extreme events Complex Science SSC, Orsay, 01 July 2009 5
Aims of the SSC We plan to • increase the usage of Grid technology within the SSC through • training events, workshops, personal contact • dissemination of success stories • develop and deploy a scientific gateway • registration of new users (single point of entry) • interface to common tools and code samples • communication with help desk • build a distributed data repository • various accessibility levels based on VO roles • support for metadata using AMGA tool • encryption of data using the hydra service • port applications to the EGI Infrastructure • build parallel and hybrid versions of algorithms using • MPI and/or OpenMP Complex Science SSC, Orsay, 01 July 2009
Suggested Work Plan Complex Science SSC, Orsay, 01 July 2009
Consortium Complex Science SSC, Orsay, 01 July 2009
Governance Model Complex Science SSC, Orsay, 01 July 2009