Call for Tutorials

The international conference on Discovery Science provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focuses on the use of artificial intelligence 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.



Tutorials are intensive instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest to the DS community. Tutorial proposals should relate to the main scope of DS (i.e., artificial intelligence methods in science) and may focus on one or more of the following topics:

  • 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
  • Causal modelling
  • AutoML, meta-learning, planning to learn
  • Machine learning and high-performance computing, grid and cloud computing
  • Literature-based discovery
  • Ontologies for science, including  the representation and annotation of datasets and domain knowledge
  • Explainable AI, interpretability of machine learning and deep learning models
  • Process discovery and analysis
  • Computational creativity
  • Anomaly detection and outlier detection
  • Data streams, evolving data, change detection, concept drift, model maintenance
  • Network analysis
  • Time-series analysis
  • Learning from complex data
    • Graphs, networks, linked and relational data
    • Spatial, temporal and spatiotemporal data
    • Unstructured data, including textual and web data
    • Multimedia data
  • Data and knowledge visualization
  • Human-machine interaction for knowledge discovery and management
  • Evaluation of models and predictions in discovery setting
  • Machine learning and cybersecurity
  • 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



Tutorial proposals are limited to 4 pages and they must include:

  • Title
  • 150 words abstract
  • Expected background of the attendees
  • Learning objectives
  • Structure of contents/activities, description of how they support the learning objectives, and how they will be presented to the attendees including a timetable that clearly indicates how the interaction with the audience will develop over time (tutorials should be of 90 minutes).
  • A concise description of material(s) that will be provided to attendees. Special requirement/equipment you may request for the presentation of the tutorial (subject to approval of the organizers). Additional materials relevant to the tutorial that you would like to share prior to the conference;
  • Value of the tutorial for the attendees
  • Description of special requirements for technical equipment (e.g., audio equipment)
  • Tutorial slides will be made available online at the DS 2020 website, although authors can provide them on additional websites as well.
  • A short bio of the presenter(s)
  • A history of the tutorial: has this tutorial (or any derived version of it) already been given? If so, detail where and when, and how it was received. Proven track record has to be balanced with the innovative aspect of the tutorial.

Tutorial proposals will be evaluated based on several factors, such as: topic interest, coverage, breadth/depth balance, content and background/experience of the instructor(s).

All tutorial proposals must be emailed to by April 10, 2020. Notifications will be sent by April 24, 2020. Please note that in case where no proposal meets the necessary requirements, then no tutorial proposal will be accepted.



Tutorial proposal submission: April 10, 2020 (AoE)
Notification of acceptance/rejection: April 24, 2020 (AoE)