A dynamic debate on how artificial intelligence is transforming the role of university teaching staff and shaping the skills required of graduates for the world of work. The webinar will include a short presentation of the results of the REMOTE project, followed by two round tables of 45 minutes each, with the participation of two experts in each.

📅 Tuesday 10 June 2025, 11.00 a.m. to 12.00 p.m.

Introduction:
Main findings of the REMOTE project
Evaluation of remote learning practices in STEM
🕒 Time: 11.00 – 11.15 a.m.
🎤 Speaker: Frederic Marimon

Round Table 1: AI within the University – Improving the Role of the Teacher
🕒 Time: 11.15 a.m. – 12.00 p.m.

🎤 Moderator:
Marta Mas 
Dean of the Faculty of Economic and Social Sciences (UIC)

🎤 Participants (Teaching Staff):
Ana Freire (BSM-UPF)
Vice-dean for Social Impact and Academic Innovation at the UPF Barcelona School of Management

Juan Marín (UPV)
Director of Teaching Transformation Area
Higher Technical School of Industrial Engineering
Universitat Politècnica de València

🔍 Key question:
How is AI revolutionising the way teachers work and innovate in universities?

Topics for discussion:

• AI in teaching: Personalised learning, automated assessments and student engagement
• AI in research: Data analysis, literature reviews and hypothesis generation
• AI in knowledge transfer: Bridging academia and industry
• AI in academic management: Automating administrative tasks

Round Table 2: AI outside University – Meeting Industry Expectations
🕒 Time: 12.15 – 1.00 p.m.

🎤 Moderator:
Tetiana Klymchuk
Doctor in Mathematics | Expert in Data Science | Co-founder of an IA startup
Barcelona 

🎤 Participants (representatives of companies and industrial sectors):
Laia Garriga Mas
Technology Transfer Manager, Applied Artificial Intelligence Unit · EURECAT Centre Tecnològic

Omar Puertas
Partner. International Arbitration · Litigation · CUATRECASAS

🔍 Key question:
How should universities adapt to ensure graduates meet industry needs in AI-related fields?

Topics for discussion:

• AI skills most demanded by employers
• Gap between AI academic training and real applications
• Ethical considerations in the adoption of AI in industry
• The role of universities in preparing AI-trained professionals