Difference between revisions of "Open Knowledge Festival"

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CC will be leading the Open Peer Learning Workshop: School of Open and School of Data on Wed morning through early afternoon: http://okfestival.org/topic-stream-open-research-and-education/.
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Open Peer Learning: School of Data and School of Open
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(Led by Creative Commons, P2PU, OKFN, Indiana University of Pennsylvania)
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Outside  of the open communities, few people know how to apply “open” tools,  practices, and standards to their work. In addition to a discussion on successful open peer learning environments, Creative Commons, P2PU, and the OKFN will introduce the School of Open and the School of Data and lead a workshop to prototype “open” challenges  — a collaborative process of designing and developing challenges on  how “open” applies to various domains of interest, eg. data, research,  education. Challenges may be anything from “Copyright for educators” to  “How to get your journal to be Open Access” to “Using (open) data to  prove your point”.

Revision as of 00:00, 18 August 2012


Events

Festival in Helsinki, Finland

2012/09/17

http://okfestival.org/


CC will be leading the Open Peer Learning Workshop: School of Open and School of Data on Wed morning through early afternoon: http://okfestival.org/topic-stream-open-research-and-education/.

Open Peer Learning: School of Data and School of Open

(Led by Creative Commons, P2PU, OKFN, Indiana University of Pennsylvania)

Outside of the open communities, few people know how to apply “open” tools, practices, and standards to their work. In addition to a discussion on successful open peer learning environments, Creative Commons, P2PU, and the OKFN will introduce the School of Open and the School of Data and lead a workshop to prototype “open” challenges — a collaborative process of designing and developing challenges on how “open” applies to various domains of interest, eg. data, research, education. Challenges may be anything from “Copyright for educators” to “How to get your journal to be Open Access” to “Using (open) data to prove your point”.