Calls

Aims & Scope

Discovery Science 2025 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes 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. Possible topics include, but are not limited to:

  • Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science
  • Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc.
  • Knowledge Discovery and Data Mining
  • Anomaly and Outlier Detection
  • Time-Series Analysis
  • Spatial, Temporal and Spatiotemporal Data Analysis
  • Unstructured Data Analysis (textual and web data)
  • Data and Knowledge Visualization
  • Complex Network Analysis
  • Causal Modelling
  • Explainable AI and Interpretable Machine Learning
  • Human-Machine Interaction for Knowledge Discovery and Management
  • Data Streams, Evolving Data, Change Detection & Concept drift
  • AutoML, Meta-Learning, Planning to Learn
  • AI and High-performance Computing, Grid and Cloud Computing
  • AI and Cybersecurity
  • Computational Creativity
  • Learning from Complex Data
  • Process Discovery and Analysis
  • Evaluation of Models and Predictions in Discovery Setting
  • Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences

Important Dates

  • Submission starts: March 3, 2025
  • Abstract submission deadline: May 17, 2025
  • Full paper submission deadline: May 24, 2025
  • Deadline for review submission: June 24, 2025
  • Notification of acceptance: July 7, 2025
  • Camera-ready version, author registration: July 21, 2025

All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth)

Submission Procedure

Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here.

We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors’ consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS’ 2025.

Accepted papers will be published in the Discovery Science Springer LNCS series.

Submission System: https://cmt3.research.microsoft.com/DS2025/

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.