{"id":690,"date":"2011-09-28T08:01:02","date_gmt":"2011-09-28T08:01:02","guid":{"rendered":"http:\/\/www.syslog.cl.cam.ac.uk\/?p=690"},"modified":"2011-09-28T08:33:03","modified_gmt":"2011-09-28T08:33:03","slug":"ibm-tcg-visit-and-cambridge-networks-network","status":"publish","type":"post","link":"https:\/\/www.syslog.cl.cam.ac.uk\/2011\/09\/28\/ibm-tcg-visit-and-cambridge-networks-network\/","title":{"rendered":"IBM TCG Visit and Cambridge Networks Network"},"content":{"rendered":"

The last couple of days were busy - IBM visited en masse and their Technical consulting group of around 50 people showed up (in CMS) to talk about\u00c2\u00a0\u00c2\u00a0 various interesting topics - for me, the best one was a talk about financial service industry regulatory controls through risk data sharing (via a third party - a sort of nuclear test ban treaty assurance service) - very neat - lots of other good topics - Rolls Royce were also there - amusingly, IBM complimented Rolls on their reliable history (compared with the Software Industry) - i didn't feel it fair to mention the RB211 or the recent A380 shattered turbine:)<\/p>\n

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More locally crucual was the kickoff meeting of the Cambridge Networks Network - see http:\/\/www.cnn.group.cam.ac.uk\/ for more info - the<\/p>\n

This kickoff was to setup a cross group, grass roots movement to join up various people in systems biology, brain mapping, economics, eplidemiology (including plant sciences) and others to share common knowledge and methods\/techniques for studying complex networked systems with interesting (e.g. emergent) phenomena - the kickoff was amibitious with talked from 5 people supposed to be 10 mins each (averaging 20 mins:)<\/p>\n

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some ideas i thought of while listening<\/p>\n

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1. weak ties (long links) in modular systems (social nets, the brain, the internet) serve the same purpose as random perturbations (like mutation) does in optimisation tools (like Genetic Algorithms or Simulated Annealing) - to get you out of local minima:- most GAs work by cross-over which implements parallel search in local areas of a fitness landscape (since similar genes share \/ cross over\/breed and are succesful or not similarly) - I wonder if there is any literature on how graphs have a small (but non zero) fraction of \"escape routes\" from the highly interconnected\/modular\/cliqueish structure of a small world are slightyly more robust than purely hierarchical modular ones???<\/p>\n

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2nd thought was about epidemics (and economics) - the Vickers report on the banking sectore is basically quarantining domestic banks (building socieities) from the high risk (prostitution and drug user\/gambling\/casino) banking sector. on the other hand, sharing information problemly (see Efficient Markets) would also work (see IBM work above)<\/p>\n

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The difference is that a structural regulation is much easier to implement than a big bang transparent information regime. maybe we do one now, the other later - who knows?<\/p>\n

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The talk on Citrus Blight in Miami lemon trees was fun - reminded me plants (genetically) are a lot easier than animals (c.f. fluphone:)<\/p>\n

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The map of spread of the blight looked really like the map of the nuclear tests recently shown on youtube (see<\/p>\n