"The (Data) Science of Time: From Music to the Heart"


Date and Time: 17.01.2019 16:30 - 18:30

Location: BIG Lecture Hall, Universitätsring 1

Lecture by Elaine Chew, Queen Mary University

The explosion of data in the music industry and technological developments in musical instruments that can record performance nuances have made possible modern investigations into intangible properties of music such as expressivity. 

How do musicians shape performances?  How are masterful interpretations crafted?  What are the decisions that define a performance?  What is the process of musicking: performing and listening?  These have all become quantifiable and subject to scientific probing.

The consequent ability to capture and model the rhythmic variations of performance transfers to other music-like systems like the human heart. This enables descriptions of  individual experiences of cardiac arrhythmias, personalised diagnoses, and disease or risk stratification. 

Elaine Chew will present and discuss mathematical models of time, timing and temporal structure in music and heart data, with demonstrations at a piano.

We would like to thank our sponsors Bösendorfer and VCOR!

Further Informations: HERE!

Further Events

  • 28.01. C.Zalinescu (Univ.Iasi) - abstract tba [ISOR]
  • additional events will follow

INFORMS TSL Workshop 2019

Date: July 15-18, 2019
Location: Sky Lounge at the Faculty of Business, Economics and Statistics

The next INFORMS TSL Workshop will be held from July 15-18, 2019 at the University of Vienna. The topic of the workshop is "Transportation in the sharing economy". Sharing economy refers to collaborative consumption. It is typically organized through platforms that facilitate the exchange of goods or services. Given an increasing pressure to act economically and ecologically efficient, mechanisms that help to benefit from idle capacities are on the rise. Both transportation companies and heavy users of transportation services need to learn how to play in a world of shared idle capacities. We anticipate talks on various types of collaborations, crowd delivery, carsharing, carpooling, ridesharing, etc.