CrowdAnalyser Workshop 2014

The ‘CrowdAnalyser Workshop 2014‘ successfully took place on Thursday, 08th of May and Friday, 09th of May. Organised by the PhD students of the research training group ‘CrowdAnalyser‘, the event was well attended. On Thursday, a lecture room in Heidelberg Collaboratory for Image Processing was crowded with 45 interested participants of the presentation and discussion sessions.

The participants attentively following a presentation.
The participants attentively following a presentation.
Lively discussions at the coffee breaks.
Lively discussions at the coffee breaks.

Via the mixture of external talks on different topics in the field of crowdsourcing and PhD project presentations, a lively atmosphere and interesting discussions emerged and made time flying by. In the final session, a panel consisting of Prof. Dr. Gennady Andrienko, Prof. Dr. Alexander Zipf, Prof. Dr. Michael Gertz, Prof. Dr. Björn Ommer and Jun.-Prof. Dr. Bernhard Höfle controversely discussed issues concerning the analysis and interpretation of results derived from big data with the audience, moderated by Dr. Bernd Resch.

Prof. Dr. Gennady Andrienko giving his talk.
Prof. Dr. Gennady Andrienko giving his talk.
Andrienko, Zipf, Gertz, Ommer, Höfle.
The panel from left to right: Andrienko, Zipf, Gertz, Ommer, Höfle.

On Friday, the Institute of Geography’s computer pool was overfull with 24 participants of the hands-on workshop ‘Geospatial statistics with R’. After an introductory note titled ‘Statistical Challenges in the Analysis of Volunteered and Crowdsourced Geographical Information’, Prof. Dr. Alexander Brenning guided the participants on the way to statistical land slide prediction models based on terrain features and the evaluation of the models’ performance.

Overcrowded PC-Pool at Prof. Dr. Brenning's hands-on R workshop.
Overcrowded computer pool at Prof. Dr. Brenning's hands-on R workshop.

The CrowdAnalysers want to thank the invited speakers Prof. Dr. Gennady Andrienko (‘Space, Time and Visual Analytics’), Prof. Dr. João Porto de Albuquerque (‘Potentials and Challenges of VGI for Coping with Disasters’), Dr. Daniel Kondermann (‘Can We Crowdsource Low-Level Vision?’) and Christian Sengstock (‘Geographic Phenomenon Discovery from Unstructured Data’) and to Prof. Dr. Alexander Brenning (hands-on R workshop) for their contributions to the workshop!