DDM&ML

Data-driven models and the machine learning revolution are increasingly having a significant impact on computational science and engineering. In particular, innovative and simpler data-driven methods based on techniques from machine learning have been emerging. These new methods could address problems that have proven to be very challenging when using traditional methods.

Objectives

To bring together from different disciplines those who are interested in mathematical, computational, and applied aspects of data-driven models and machine learning.
To provide a platform for the face-to-face exchange of ideas, sharing of experience, and promotion of data-driven models and machine learning as a strategic area of research.
To raise awareness of data-driven models and machine learning techniques among junior researchers and graduate students.
To identify learning outcomes for interdisciplinary programs and courses related to Data-Driven Models, Machine Learning, and Artificial Intelligence.