Big Surprise for “No Suprise” Paper!

Some weeks ago I got a really big surprise: Our paper  “No Outstanding Surprises when Using Social Media as Source for Weak Signals?” at the ICDS IARIA conference 2015 got the conference award as a best paper

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Crazy stuff: One paper. 101 authors.

No, it wasn’t me :D – I was not my idea, neither Martin’s. But of course we did not hesitate when we were asked to co-author a paper with 100 authors (from all over the world). The crazy person who organize this all is Abdul Al Lily. He is currently the guy that collects, edits, etc. all comments to our second version of the paper. YES, THIS IS NO JOKE. I really appreciate his idea and hope he will get through all of this. And I am looking forward to the paper (and hope that it will be accepted :D – and: cited! with all names! :D)

 

Slides: Guidelines for social media mining for innovation purposes

The slides of the presentation are online: Guidelines for social media mining for innovation purposes.

Slides: No Outstanding Surprises when Using Social Media as Source for Weak Signals Detection

The slides of the presentation “No Outstanding Surprises when Using Social Media as Source for Weak Signals Detection?” are online now.

Presentation: Why weak signals detection does not surprise

Today another sneak preview: Markus Lassnig will present a short paper about the surprise potential of weak signals detection (today, again in Portugal).

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  • Eckhoff, Robert; Markus, Mark; Lassnig, Markus; Schön, Sandra (2015): No outstanding surprises when using Social Media as source for weak signals? First attempt to discuss the impact of social media sources to detect surprising weak signals. Proceedings of The Ninth International Conference on Digital Society (ICDS) in Lisbon, Portugal.

Presentation: Guidelines for Social Media Mining for Innovation Purposes

Today my colleague Markus Lassnig will present a paper with (our) guideslines for Social Media Mining for Innovation Purposes. The essence is already available here as sneak preview. ;) guidelines_smm_engl

  • Eckhoff, Robert; Markus, Mark; Lassnig, Markus; and Schön, Sandra (2015). Guidelines for social media mining for innovation purposes. Experiences and recommendations from literature and practice. Proceedings of eKNOW 2015, The Seventh International Conference on Information, Process, and Knowledge Management, February 22 – 27, 2015 – Lisbon, Portugal.

Seven things that make Learning Analytics (LA) smart #elearningpapers

Together with Martin Ebner, Behnam Taraghi and Anna Saranti we discussed and brought together what makes learning analytics smart – from their perspectives and experiences with some years of work (and several publications). Here is our result as figure – and within a new publication.

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