COST Action CA 19102 Language In The Human-Machine Era

Period: 21.04.2020
- 20.04.2024
Programme: COST Action



Dr. sc. administr.
Yulia Stukalina
Transport and Management Faculty
Yulia Stukalina

Academic degree and current position in TSI: Professor, Leading Researcher of the Faculty of Transport and Management, Vice-Dean for Academic Affairs of the Faculty of Transport and Management.

Previous experience: 30 years’ experience in Higher Education, 10 years’ experience of working as the Head of the Department (The Department of Linguistics and the Department of Management and Economics) at Transport and Telecommunication Institute.

Membership: Since 2016 – Programme Committee Member of the International Scientific Conference “Reliability and Statistics in Transportation and Communication” (RelStat); since 2016 – Programme Committee Member of the International Scientific Symposium “Economics, Business and Finance”; 2012-2015 –  Programme Committee Member of the Scientific and Educational Conference “Actual Problems of Education”; since 2020 – Member of Editorial Board of the “Journal of Business, Management and Economics Engineering”/Vilnius Gedminas Technical University (WoS, Scopus); since 2019 – reviewer of the “Journal of Marketing for Higher Education”/Routledge (Scopus).

Academic experience: Author of more than 40 publications, incl. six textbooks and book chapters. An Expert in Management (since 2014-2020); Educational Sciences (since 2020); Economics and Business (since 2020) of the Latvian Council for Science; Member of the Joint* Professors’ Council in Economics and Business, incl. Management Sciences (TSI, Turiba University and BA School of Business and Finance).

Teaching activity: Academic English (Master of Social Sciences in Management); Human Resource Management and Leadership (Master of Social Sciences in Management); Organizational Behaviour and Leadership; Strategic Management (Master of Social Sciences in Management); SMART administration (Master of Social Sciences in Management); Corporate Governance and Social Responsibility (Master of Social Sciences in Management), etc.

Participation in projects: a national representative and Management Committee Member of COST Action CA19102 “Language In The Human-Machine Era”, COST Action CA18236 “Multi-disciplinary innovation for social change”, COST Action 15221 “Advancing effective institutional models towards cohesive teaching, learning, research and writing development”, COST Action CA15137 “European Network for Research Evaluation in the Social Sciences and the Humanities” – ENRESSH, leader of the ERASMUS+ KA2 “SPREAD YOUR WINGS” 2017-1-PL01-KA203-038782 Project and ERASMUS+ “LEARN IT – Learning with ICT use” (2014-1-PL01-KA200-003353) Project, participant of the ESF project 2007/0010/VPD1/ESF/PIAA/06/APK/ – “Professional Higher Education: TSI students practice in Transport and Logistics Enterprises”.

Research Interests: Strategic Management, Educational Management, Marketing Management and Branding in Higher Education, Human Resource Management, Corporate Social Responsibility.   

Supervised Doctoral, Master and Bachelor Theses (number): Supervision of the Master’s Theses (22: Master of Social Sciences in Management; Professional Master’s Degree in Aviation Management), an official reviewer of four PhD theses at the University of Latvia.

Awards: Certificate of Appreciation in Recognition of Research Excellence (2019, TSI); Certificate of Appreciation in Recognition of Teaching Excellence (2019, TSI); Certificate of Appreciation in Recognition of the Contribution to the Interdisciplinary Approach to Research (2019, TSI).

Motto: “Motivation is a fire from within”.

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Language In The Human-Machine Era (LITHME) has two aims: to advance linguistics and to develop sustainable dialogue between linguists and technology developers.

To achieve the above aims the following specific objectives shall be accomplished:

  • Advance understanding of emerging technologies likely to influence language.
  • Harmonise research outputs, e.g. regularise terminology, accessibility standards.
  • Develop methods and theory to study language in the human-machine era.
  • Create a framework for dialogue among linguists and technology developers.
  • Generate substantive guidelines for equitable development of emerging technologies.
  • Create a collaborative network with critical mass to drive scientific progress.
  • Establish strong links between linguists, stakeholders, and policymakers.

Among the main tasks set for the CA19102 Working Groups are the following:

  • To review current uses of the latest language technologies in the respective disciplinary areas, and to consider potential effects of emerging technologies.
  • To explore changes in teaching strategies involving NLP: learning statistics; material preparation; peer assessment; MOOC (massive open online course) management.
  • To analyse how these changes would manifest in a learning environment utilising emerging technologies in virtual spaces.
  • To examine recent NLP methods with notable potential for language learning include context-based models like ELMO and BERT, and their deployment in wearable contexts.

LITHME will also consider suich critical issues as the ethical implications of emerging language technologies, inequality of access to technologies, questions of privacy and security, new vectors for deception and crime.

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