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              Video 
              archive of the public talks 
            
              Sunday, 
                June 24, 2012 at 2:30 p.m. 
                L. Mahadevan (Harvard) 
                Motility: Molecules, Mechanics, Mathematics and Machines 
              Sunday, 
                June 24, 2012 at 4:00 p.m.  
                David 
                Earn (McMaster)  
                Puzzles in the Patterns of Plagues  
                 
              Monday, 
                June 25, 2012 at 6:00 p.m.  
                Ron Dembo (Zerofootprint) 
                Using Mathematics to Combat Climate Change  
             
             
            Abstracts 
            L. 
              Mahadevan 
              de Valpine Professor of Applied Mathematics,Professor of Organismic 
              and Evolutionary Biology, Professor of Physics, Harvard University 
               
             
              Motility: 
                Molecules, Mechanics, Mathematics and Machines 
                Life is almost synonymous with autonomous motion, and the varied 
                solutions invented by nature to accomplish movement beg the question 
                of what general principles are used ? Using examples from the 
                dynamics of macromolecular spring and molecular motors in cells, 
                water driven movements in plants, and the muscle driven movements 
                in animals, I hope to show how understanding these special cases 
                allow us to sharpen the general question while providing lessons 
                for engineering biomimetic machines. I will close with a description 
                of some recent experimental and theoretical studies of the collective 
                dynamics of bristlebots; simple engineered robots that interact 
                only sterically.  
             
            David 
              Earn, McMaster University 
             
              Puzzles 
                in the Patterns of Plagues 
                Over the last century, there has been tremendous progress in understanding 
                the transmission of infectious diseases in human populations. 
                However, most historical outbreaks have not been studied in detail 
                because data that might permit such investigations are buried 
                in thousands of handwritten records. In recent years, my research 
                group has digitized a large number of these historical records 
                and begun to dissect the epidemic patterns. Modern computers allow 
                us to visualize these patterns, and mathematical methods are helping 
                us unravel the biological mechanisms that gave rise to the outbreaks. 
                I will discuss our ongoing work, focussing on outbreaks of plague, 
                from the Black Death in the 14th century to the Great Plague of 
                London in the 17th century. 
             
            Ron 
              Dembo, Zerofootprint 
             
              Using 
                Mathematics to Combat Climate Change 
                Climate change is probably the largest problem ever faced by mankindwe 
                have literally arrived at a point where we could feasibly destroy 
                our own habitat. So what role can mathematics play in helping 
                address this challenge? I believe that mathematics will play a 
                central role in the solutions that will help us adapt to the climate 
                change already occurring and prevent 
                runaway climate disaster. This talk touches on a few areas where 
                math is playing a central role today and addresses the roles it 
                might play. In some cases, as mathematicians, we will find ourselves 
                married with psychologists to solve behavioral problems. We will 
                be paired with farmers to solve agricultural problems. We will 
                be minimizing energy and carbon in our supply chains. We will 
                be building models for massive data analysis. We will be modeling 
                the planet, and so on. 
             
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