Since 2002 Perimeter Institute has been recording seminars, conference talks, and public outreach events using video cameras installed in our lecture theatres. Perimeter now has 7 formal presentation spaces for its many scientific conferences, seminars, workshops and educational outreach activities, all with advanced audio-visual technical capabilities. Recordings of events in these areas are all available On-Demand from this Video Library and on Perimeter Institute Recorded Seminar Archive (PIRSA). PIRSA is a permanent, free, searchable, and citable archive of recorded seminars from relevant bodies in physics. This resource has been partially modelled after Cornell University's arXiv.org.
Stephen Kern will set the stage for the Miraculous Year with an examination of the general cultural climate surrounding Einsteins eventations of 1905. Taking the fact that Einsteins most important paper begins with a discussion of simultaneity, Kern will consider how a variety of developments in the culture of the period involved a reworking of the experience of time and space, creating new ways of thinking about and experiencing simultaneity.
The achievements of 19th Century physicists stand shoulder to shoulder with those of their 20th Century successors. Physics, per se, did not exist in 1800, but a century later, physics not only existed, but was regarded as the model for all sciences. During the 19th Century, the physics that dominates current introductory textbooks was brought to completion.
Synchronization phenomena are abundant in nature, science, engineering and social life. Synchronization was first recognized by Christiaan Huygens in 1665 for coupled pendulum clocks; this was the beginning of nonlinear sciences. First, several examples of synchronization in complex systems are presented, such as in organ pipes, fireflies, epilepsy and even in the (in)stability of large mechanical systems as bridges. These examples illustrate that, literally speaking, subsystems are able to synchronize due to interaction if they are able to communicate.
Many systems take the form of networks: the Internet, the World Wide Web, social networks, distribution networks, citation networks, food webs, and neural networks are just a few examples. I will show some recent empirical results on the structure of these and other networks, particularly emphasizing degree sequences, clustering, and vertex-vertex correlations. I will also discuss some graph theoretical models of networks that incorporate these features, and give examples of how both empirical measurements and models can lead to interesting and useful predictions about the real world.