Registration is now open for the second UoE Open Knowledge Network event which will take place on Friday 28th April in Argyle House, University of Edinburgh.
The event will feature a morning of talks and discussions followed by hands on workshops and demonstrations in the afternoon.
Morning talks will include influence of algorithms on MOOCs – Jeremy Knox, Centre for Research in Digital Education.
- Thesis Digitisation Initiative – Gavin Wilshaw, University Library & Collections.
- UoE Open Data Policy – Wilbert Kraan, Enterprise Architecture.
- MOOC developments – Stuart Nicol, Education Development and Enhancement.
- Internet of Things project – Ewan Klein, School of Informatics.
- OER17 and LILAC conference reports – Charlie Farley, Education Development and Enhancement.
- International Open Science Conference report – Lorna M. Campbell, LTW.
- Living labs, teaching & community engagement – James Stewart, Institute for Science, Technology and Innovation.
- Reproductive Biology Wikipedia projects – Chris Harlow, Centre for Reproductive Health.
- World Christianity Wikipedia initiatives – Alex Chow, School of Divinity.
Additional speakers will be confirmed.
- Using Edinburgh DataShare – Pauling Ward, Data Library
- Histropedia Timelines and Wiki Data – Ewan McAndrew, Wikimedian in Residence, LTW
This event is free of charge and open to all colleagues and students. Participants are welcome to register for morning talks, afternoon workshops or both.
- Morning talks and discussions http://edin.ac/2oM6VRI
- DataShare workshop http://edin.ac/2nSbdDD
- Histropedia Timelines and Wiki Data workshop http://edin.ac/2nSc7jl
Numbers are limited, so if you register for the event and are unable to attend, please let us know so we can allocate your place to a colleague.
09.30 – 10.00 Coffee & networking
10.00 – 11.15 Presentations & discussions
11.15 – 11.30 Tea and coffee
11.30 – 12.45 Presentations and discussions
12.45 – 13.30 Lunch
13.30 – 14.45 DataShare Workshop
14.45 – 15.00 Tea & Coffee
15.00 – 16.30 Histropedia and Wiki Data workshop.