Nimet Eylem Tas

Eylem Tas is an academic professional currently serving as a Data Steward Research Assistant at CRC 1615: SMART Reactors for Future Process Engineering at the Technical University of Hamburg (TUHH), Germany. Holding a Bachelor of Business Administration from the University of Marmara and a Master of Arts in Educational Sciences from Otto von Guericke University, she is currently pursuing a Doctorate in Information Systems, specializing in Socio-Technical System Design at the University of Hamburg. Her research interests extend to Digital, Data, and AI Literacy, exploring the intersection of these areas with educational systems. Additionally, she is passionate about fostering University-Industry Collaboration in Teaching within Higher Education, aiming to bridge the gap between academia and industry. With expertise in education system design and a research background spanning educational sciences and information systems, her contributions play a valuable role in interdisciplinary research endeavors.


From September 2020 to April 2021, Eylem Tas served as a Research Assistant at the University of Hamburg, focusing on empirical educational research, empirical social research, and descriptive statistics at the Measuring and Evaluating Competencies (MEZ) department Following this, from May 2021 to September 2021, she worked as a Research Assistant at the Center for Technology-Enhanced Education (ZtB) ( at Helmut Schmidt University - University of the Federal Armed Forces Hamburg, where she concentrated on competence-oriented digital (further) education and the integration of AI in university education, vocational training, and adult education. Subsequently, from December 2021 to August 2024, she continued her career as a Research Assistant at the University of Hamburg, focusing on coordinating transfer efforts, developing a data-based transfer ecosystem, and fostering partnerships with public, private-sector, and civil society entities in the metropolitan region of Hamburg to spearhead innovative data-based teaching laboratory projects under the Project DDLitLab (

Research Interests:

Her research interests encompass the multifaceted realm of University-Industry Collaboration, focusing on the development of Data Literacy and AI Literacy in Higher Education. She is passionate about developing Data Ecosystems and fostering Data Literacy in Higher Education, aiming to equip students with the necessary skills and knowledge to navigate the increasingly data-driven world effectively. Specifically, she delves into:

  • Analyzing Best Practices in University-Industry Collaboration in the field of AI to identify relevant skills and competencies for enhancing graduates' employability.
  • Investigating the effects of University-Industry Collaboration on closing competency gaps in the AI domain and promoting graduates' employability.
  • Identifying AI-based tools and technologies that can be utilized in University-Industry Collaboration to enhance skills development and student employability.
  • Exploring industry needs and expectations regarding graduates with Data Literacy and AI Literacy, and their influence on curricula and programs in higher education.
  • Developing measures and strategies for assessing and validating Data Literacy and AI Literacy acquired through University-Industry Collaboration to enhance student employability and facilitate the transition into the workforce.
  • Evaluating the effectiveness of University-Industry Collaboration in fostering AI Literacy and its contribution to the sustainable development of companies and organizations.


  • CRC 1615: SMART Reactors for Future Process Engineering