Modern day research has entered an age where, as experiments grow larger and more complex, the amount of recorded data is increasing exponentially. The analysis of the time-series data associated with these experiments is now beginning to push both computational power and resources to their limit. In order to analyse data from current and future experiments, new technology, and the development of more efficient and smarter algorithms, are required. This workshop, supported by the Mastodons TimeClean proposal, brings together data analysts from the fields of astrophysics, biology, computing science and engineering, and will focus on advances in both academia and industry in both algorithmic development and computing technology in the area of time-series analysis.
A second workshop took place at Université Paris Descartes on December 12/13, 2016.
