Special Issue on Discovery Science (Springer Machine Learning journal)

[Vitor Cerqueira]

The Machine Learning journal invites submissions of research papers addressing all aspects of discovery science - a research discipline concerned with the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains.

Submissions addressing all aspects of discovery science are welcome. Research papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data, as well as heterogeneous, continuous or imprecise data are encouraged. Research papers in the fields of computational scientific discovery, mining scientific data, computational creativity and discovery informatics are also welcome. Finally, submissions addressing applications of artificial intelligence in different domains of science, including biomedicine and life sciences, materials science, astronomy, physics, chemistry, as well as social sciences are encouraged.

Important dates

    Paper submission: July 3rd, 2022
    First notifications: Sep 4th, 2022
    Deadline for revised submissions: Oct 16, 2022
    Second round of notifications: Nov 27, 2022
    Publication (online): March 2023

More information can be found at: https://ds2021.cs.dal.ca/#specialIssue

Looking forward to your submission to MLJ!

With best regards,

Paula Branco, Vitor Cerqueira, Carlos Soares and Luis Torgo