DS: Discovery Science



Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
DS 2020 23rd International Conference on Discovery Science
Oct 19, 2020 - Oct 21, 2020 Thessaloniki, Greece May 25, 2020 (May 20, 2020)
DS 2019 Discovery Science
Oct 28, 2019 - Oct 30, 2019 Split, Croatia Jun 25, 2019
DS 2018 21st International Conference on Discovery Science
Oct 30, 2018 - Oct 31, 2018 St. Raphael Resort, Limassol, Cyprus Jun 28, 2018
DS 2017 The 20th International Conference on Discovery Science
Oct 15, 2017 - Oct 17, 2017 Kyoto, Japan Jun 6, 2017
DS 2016 19th International Conference on Discovery Science
Oct 19, 2016 - Oct 21, 2016 Bari, Italy May 21, 2016
DS 2014 Discovery Science
Oct 8, 2014 - Oct 10, 2014 Bled, Slovenia May 9, 2014
DS 2013 The 16th International Conference on Discovery Science
Oct 6, 2013 - Oct 9, 2013 Singapore May 25, 2013
DS 2012 The 15th International Conference on Discovery Science
Oct 29, 2012 - Oct 31, 2012 Lyon, France May 17, 2012
DS 2011 The Fourteenth International Conference on Discovery Science
Oct 5, 2011 - Oct 7, 2011 Espoo, Finland May 18, 2011
DS 2010 Discovery Science
Oct 6, 2010 - Oct 8, 2010 Canberra, Australia May 15, 2010 (May 5, 2010)
DS 2009 The 12th International Conference on Discovery Science
Oct 3, 2009 - Oct 5, 2009 Porto, Portugal May 17, 2009 (May 10, 2009)

Present CFP : 2020

The 23rd International Conference on Discovery Science (DS 2020)
Thessaloniki, Greece, October, 19-21, 2020
Call for papers

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 focus is 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.

We invite submissions of research papers addressing all aspects of discovery science. We encourage 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. We also encourage papers in the fields of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. We welcome papers 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.

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
* 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

Important Dates
Abstract submission: May, 20 2020
Full papers submission: May, 25 2020
Notification: July, 20 20020
Camera readies, author registration: August, 10 2020
Conference: October, 19-21 2020

Submission Guidelines
Papers must be written in English and formatted according to the Springer LNCS guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Papers should be submitted in PDF form via the DS 2020 Online Submission System (EasyChair - submit here https://easychair.org/conferences/?conf=ds2020). Once a paper has been submitted to the conference, changes to the author list are not permitted.

Submitted papers should not exceed 15 pages (long papers) and 10 pages (short ones), in total (including references). All submissions will be subject to review by the DS 2020 Program Committee. The Program Committee reserves the right to offer acceptance as Short Papers (10 pages in the Proceedings) to some Long Paper submissions. All accepted papers will appear in the conference proceedings published by Springer LNCS series and will have allocated time for oral presentation in the conference.

The reviews are single-blind. Authors do not need to anonymize their submission. Submitted papers may not have appeared in or be under consideration for another workshop, conference or journal. They may not be under review or submitted to another forum during the DS 2020 review process.
Authors of accepted papers will transfer their copyrights to Springer. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Open access publication (against the payment of additional open access fees) is possible and should be specified when submitting the camera ready copies of the papers. For a paper to appear in the proceedings, at least one of the authors must register for the conference by the camera-ready submission deadline and present the paper at the conference.

Special issue
The authors of a number of selected papers presented at DS 2020 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published.


The conference will take place at the Grand Hotel Palace, the largest 5-star conference hotel in Thessaloniki -- the 2nd biggest city of Greece. Thessaloniki is directly connected by flight to many European cities. A number of tourist attractions are within easy reach of Thessaloniki: These include Mount Olympus (70 km from Thessaloniki), Vergina (which is at a driving distance of 40 minutes) and the UNESCO world heritage Mount Athos with 20 monasteries (which can be visited by men only and is at a ~2h driving distance).


General Chairs
* Yannis Manolopoulos, Open University of Cyprus, Cyprus
* Stan Matwin,Dalhousie University, Canada

Program Chairs
* Annalisa Appice, University of Bari Aldo Moro, Italy
* Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece

Steering Committee Chair
* Saso Dzeroski, Jozef Stefan Institute, Ljubljana, Slovenia

Local Organizing Chairs
* Anastasios Gounaris, Aristotle University of Thessaloniki, Greece
* Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece

* Richard Chbeir, University of Pau and Pays de l’Adour, France

All questions about submissions should be emailed to the program chairs Annalisa Appice (annalisa.appice@uniba.it) or Grigorios Tsoumakas (greg@csd.auth.gr)

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