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Current projects

SPRINGH - Sensor data Processed for Reliable Inovative Health Guidance

Prof.dr.ir. J.C. Wortmann, Faculteit Economie en Bedrijfskunde, Operations
Within the scope of the SPRINGH project, researchers are investigating whether feedback given to office workers about their behaviour (measured with IoT devices) leads to a healthier office environment. Read more about SPRINGH.

Platform Pop - Spotify’s Role as an Intermediary in the Music Industry

Dr. R. Prey, dr. M. Esteve Del Valle, Faculteit der Letteren, Journalistieke cultuur en Media
The aim of the Platform Pop project is to determine the role of Spotify in the music industry. Researchers are analysing the Spotify Twitter account and Spotify playlists to discover the effect of Spotify on the changing role of larger and smaller record labels.

Read more about Platform Pop.

Rewriting Nature - studying the early modern scientific vocabulary in the Republic of Letters with word2vec

Dr. A. Sangiacomo, Faculteit Wijsbegeerte, Geschiedenis van de Filosofie
The Rewriting Nature project is using text mining technology to analyse how the language used among academics and the meaning of concepts have changed over the course of time. Read more on Rewriting Nature.

Central Sensitization and Physical Activity in patients with Chronic Low Back Pain - Exploration of movement patterns using new analytic strategies

Prof.dr. M.F. Reneman, Dr. R. Dekker, Dr. H.R. Schiphorst Preuper, Dr. I. Stuive, MSc. J. Ansuategui Echeita, Dr. C.J.C. Lamoth, Faculteit Medische Wetenschappen/UMCG, Revalidatiegeneeskunde
Many people with chronic low back pain develop an adjustment to the nervous system, known as Central Sensitization, which means that they begin to move less and adjust their movement pattern. This research project is studying the link between physical movement patterns and Central Sensitization in patients with low back pain. Read more about Central Sensitization and Physical Activity in Patients with Chronic Low Back Pain.

Automatic recognition of Frisian speakers - using computers to discriminate the Frisian accent and voice

Dr. M.B. Wieling, Dr. N.H. Hilton, Faculteit der Letteren, Computationele semantiek / Friese Taal en Letterkunde
This project is annotating the pronunciation of various words in different Frisian accents. Machine learning technology such as support vector machines will then be used to cluster the different Frisian accents. The result will be a map of the different Frisian accents in Friesland. Read more about Automatic Recognition of Frisian Speakers.

Automatic Processing of Eye Tracking Movies

Dr. J.C. van Rij-Tange, prof.dr. J. Järvikivi, University of Alberta, Department of Linguistics
With the aid of eye-tracking glasses that follow the pupil, researchers will look at how language develops in young children. The recordings made with the eye-tracking glasses will be manually annotated, but this can be speeded up by using image-recognition and language-recognition technology. Read more about Automatic Processing of Eye Tracking Movies.

Producten

  • COSMO

    This tool enables you to enter search queries that allow you to download social media data. For instance tweets over a certain period or profile details. The tool annotates this data and processes it for further analysis. COSMO is available to all UG students and staff. Request access

  • Connected Contests

    An evolving online research tool to facilitate the study of agonistic networks in the ancient, post-classical world. It is part of a wider research project on the history of athletic and other agonistic festivals from 300 BC-AD 300. More information

  • Digital Tombs

    A digital tool for the study, presentation, and preservation of material and textual remains of funerary practices in the Hellenistic and Roman Near East. More information

Course material

We develop course material in the field of Machine Learning, Deep Neural Networks, programming in Python, and scraping and structuring data from the internet.

Last modified:06 August 2018 10.10 a.m.
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