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University of Cambridge > Talks.cam > Computer Laboratory Digital Technology Group (DTG) Meetings > (Skills) Getting Things Done - A Rough Guide to Productivity / (Research) "Am I doing it better?" : Conveying the message to athletes
(Skills) Getting Things Done - A Rough Guide to Productivity / (Research) "Am I doing it better?" : Conveying the message to athletesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Andrew Rice. Getting Things Done – A Rough Guide to Productivity, Daniel Wagner In this talk I will touch upon different methods of time management and organization that some may be familiar with and introduce a method called “Getting Things Done” (GTD) that may be new to some. My own method of organization is derived from GTD and I am hopeful that some of the topics I will touch upon will help you to spend less time micromanaging, to find ways to focus and to be more productive. Here is what Wikipedia says about GTD : Getting Things Done (GTD) is an organizational method created by David Allen, described in a book of the same name.The Getting Things Done method rests on the principle that a person needs to move tasks out of the mind by recording them externally. That way, the mind is freed from the job of remembering everything that needs to be done, and can concentrate on actually performing those tasks. [...] In 2005, Wired called GTD “A new cult for the info age” (http://www.wired.com/culture/lifestyle/news/2005/07/68103) describing the enthusiasm for this methodology among information technology and knowledge workers as a kind of cult following. “Am I doing it better?” : Conveying the message to athletes, Simon Fothergill As sensors continue to pervade our environment the supported complexity of biomechanical models increases. This motivates us to seek ways of helpfully communicating the kinetic data to athletes as technical feedback. A useful form of feedback is similarity; an evaluation of algorithms to automatically approximate subjective judgements of similarity is presented. This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series. This talk is included in these lists:
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