Tallinn University of Technology

Cooperation

The Department of Software Science aims to be a partner to:

  • enterprises, offering research-based practical solutions via joint research and development project and co-supervision of theses on all levels of university education;
  • the society and the state, as a responsible visionary and authoritative professional adviser, offering research based and practically relevant expert advice that is in accordance with the professional ethics of engineers and researchers;
  • other universities and academic organisations, contributing jointly to advancing the boundaries of research and technology.

On the School of IT website you can find information about ways of cooperation between the university and partner and also how we ensure the confidentiality of information. The Department of  Software Science research groups competences are divided into the following fields of cooperation:

ARTIFICIAL INTELLIGENCE AND LANGUAGE TECHNOLOGIES

Security and Dependability of IT Systems

Smart and Energy Efficient Environments

DATA SCIENCE

  • Applied Artificial Intelligence Group
    Machine learning, automated commonsense reasoning, ontology based reasoning, AI methods in spatial data analysis, recommendation systems, logic-based software systems

  • Information Society Technologies
    Architecture of data interoperability frameworks, over public service design, eIDAS frameworks, eID user acceptance, e-court systems, blockchain-based e-governance, frameworks for collective intelligence, Big Data and IoT integration, web annotations and Open Linked Data, large-scale decision support systems

E-Governance Technologies

  • Centre for Digital Forensics and Cyber Security
    Cyber security, digital forensics, cryptography, cyber incident handling and cyber security exercises
  • Information Society Technologies
    Architecture of data interoperability frameworks, over public service design, eIDAS frameworks, eID user acceptance, e-court systems, blockchain-based e-governance, frameworks for collective intelligence, Big Data and IoT integration, web annotations and Open Linked Data, large-scale decision support systems
  • Next Gen Digital State Research Group
    Public sector digital transformation, development of public services, data ex-change platforms and automation

SOFTWARE TECHNOLOGIES

  • Business Information Technology Group
    Professional applications, depend-able, interoperable and evolutionarily changeable enterprise applications, business software, future professionals, professional education