CIT & DS Creativity in intelligent technologies & data science

Background. The field of computational creativity concerns itself with theoretical and practical issues in the study of creativity. The goal of computational creativity is to model, simulate or replicate creativity using a computer, to construct a program or computer capable of human-level creativity, to better understand human creativity and to formulate an algorithmic perspective on creative behavior in humans, to design programs that can enhance human creativity.

Our workshop is devoted to the results of practical work on the implementation of computer systems that exhibit creativity in wide range of research domains. We invite researchers which solve the creative tasks in e-learning, e-inclusion, decision making support, knowledge engineering, conceptual modeling and design using contemporary intelligent technologies.


Topics of interest for this workshop include, but not limited to:

  • Knowledge discovery in patent and open sources for creative tasks
  • Natural language and image processing& analysis
  • Intelligent Decision Support System for Continual improvement process
  • Data science in Energy Management & transportation
  • Conceptual, cognitive and qualitative modeling with application in intelligent decision making
  • Game-based learning technologies in engineering education and educational games design
  • Modeling of Teaching/Learning process
  • Personalized Learning in Web-Based Intelligent Educational Systems
  • E-inclusion: development of smart mobile applications for  people with intellectual disabilities


Workshop  Chairs

  • Alla Kravets,               Volgograd State Technical University, Russia
  • Jan Dekelver,              Thomas More Kempen, Geel, Belgium
  • Marina Kultsova,        Volgograd State Technical University, Russia
  • Olga Shabalina,           Volgograd State Technical University, Russia


Programme Committee:

  • Valery Kamaev,                 Volgograd State Technical University, Russia
  • Vadim Stefanuk                Russian Association of Artificial intelligence, Moscow, Russia
  • Roman Slivin                    Oracle, Moscow, Russia
  • Alexander Davtyan           Moscow Institute of Physics and Technology, Moscow, Russia
  • Christos Malliarakis          University of Macedonia, Greece
  • Maria Kordaki                   University of the Aegean, Greece
  • Sergey Sosnovsky             Center for Learning Technology (CeLTech), German Research Center for Artificial Intelligence (DFKI), and School of Education, Saarland University
  • Peter Mozelius,                 Stockholm University, Sweden
  • Florica Tomos                   University of South Wales, United Kingdom
  • Peter Blanchfield              Universtiy of Nottingham, United Kingdom
  • David Moffat                    Glasgow Caledonian, Glasgow, United Kingdom
  • Nuno Escudeiro                Inst. Sup. de Engenharia do Porto, Porto, Portugal
  • Eduardo Sarmento            Lusofona University, Portugal
  • Carla Oliveira                    Lisbon University, Portugal
  • Shuichiro Yamamoto        Nagoya University, Japan
  • Satya Chickerur                B V Bhoomaraddi College of Engineering and Technology, Karnataka, India
  • Uranchimeg Tudevdagva  Mongolian University of Science and Technology, Mongolia