The ETH Zürich Energy Science Center featured an article about “From Location Tracking To Personalized Eco-Feedback: Results From The GoEco! Study” on their Spotlight on Energy Research blog. You can read the full article here. At this point we would like to thank the Energy Science Center for giving us the opportunity to present our research to their audience!
Journal paper at ISPRS IJGI accepted!
Our paper “Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches” has been accepted at the ISPRS International Journal of Geo-Information. We are very happy to announce that it is also featured as cover story of the respective special issue!
For more information, visit our publications site.
SBB Launches New SBB Green Class Mobility Package
The SBB (Swiss Railway) have officially launched the new SBB Green Class Mobility Package which combines various sustainable means of transportation and services for road and railway.
Researchers from the MIE Lab will further on provide scientific support for this exciting project.
For more information visit SBB Green Class
Call for Papers: Spatial Big Data and Machine Learning in GIScience
Together with colleagues from the University of Illinois at Urbana-Champaign, we are organising a workshop on “Spatial Big Data and Machine Learning in GIScience” at this year’s GIScience conference in Melbourne, Australia.
If you are interested in the process of generating knowledge from large spatial datasets, please note the 1st Call for Papers on the workshop website.
Full paper accepted at AGILE 2018!
Our full paper “Identifying and Interpreting Clusters of Persons with Similar Mobility Behaviour Change Processes” has been accepted at AGILE 2018 in Lund, Sweden!
For more information, visit our publications site.
Extended Abstract accepted at IATBR 2018
Collaborating with our colleagues from IVT – Institute for Transport Planning and Systems at ETH Zurich, our extended abstract titled “Usage patterns and impacts of a mobility flat rate traced with a Smartphone App” was accepted at IATBR 2018 in Santa Barbara, California.
OMLETH at Innovedum Event 2017
The annual Innovedum event on November 23 at the Semper Aula was an opportunity for informal discussion among the Innovedum project leaders, departmental Educational Developers, and students. Around 150 participants attended the event. The Rector gave the welcome speech and presented certificates to the students for their efforts on behalf of Student Innovedum. The event’s highlight was the short presentation of three Innovedum projects under which OMLETH was shown. Martin Raubal and Christian Sailer presented the project and showed the brand new OMLETH explainer video (only in German), which received much positive feedback and interesting discussions at the aperitif.
Photos from the evening by Heidi Hostettler
http://www.heidi-hostettler.ch/Innovedum_2017
The new video OMLETH explainer video
3 papers accepted at LBS 2018
Collaborating with colleagues from the GeoGazeLab and the University of Zurich, we have two full papers and one short paper accepted at next year’s LBS conference, which will take place in Zurich, Switzerland. For more information, visit our publications site.