Workshops 2026
Across four parallel workshops, participants can take part either as speakers or as active contributors.
This year, we are exploring interdisciplinary advances which shape tomorrow:
- Workshop 1: Reimagining Academia in the Age of AI: A Structured Inquiry into Purpose, Disruption, and Reinvention
- Workshop 2: AI in Healthcare and Medicine: From Models to Trustworthy Clinical Decision Systems
- Workshop 3: AI and the Transformation of Work and Business Processes
- Workshop 4: Advances in the Quantum Internet
Workshop 1
Reimagining Academia in the Age of AI:
A Structured Inquiry into Purpose, Disruption, and Reinvention
Dr. Tomer Shadmy, Professor for Computer Science, Law and Ethics, The Hebrew University of Jerusalem
Artificial intelligence is reshaping the foundational assumptions of higher education — from how knowledge is produced and validated, to how it is taught, accessed, and governed. Yet most institutional responses remain reactive, incremental, or narrowly focused on tools rather than transformation. This workshop invites participants to step back and ask a more fundamental question: what is academia for, and how must it reinvent itself to remain true to that purpose in an era of profound AI-driven disruption?
Using a structured, four-round collaborative framework, participants will work in small groups to first articulate the core purposes and social roles of academia, before examining how each is challenged — or potentially enhanced — by AI across three analytical lenses: its technological characteristics, the political economies it reshapes, and the emerging modes of use it enables. From this diagnostic foundation, groups will move into a generative phase, reimagining vision for the academy and designing the institutional, technological, and legal architectures needed to sustain it.
The workshop draws on the AI Social Disruption Fan methodology to move beyond surface-level observations and surface structural tensions — between openness and control, between human judgment and algorithmic logics, between democratic participation and concentrations of power. Participants will leave with a shared vocabulary for navigating AI’s impact on higher education, and concrete proposals for the kinds of institutions, platforms, and policies that a reimagined academia demands.
No technical background is required. The workshop is designed for educators, researchers, administrators, policymakers, and anyone with a stake in the future of knowledge institutions.
Dr. Tomer Shadmy
Professor for Computer Science, Law and Ethics, The Hebrew University of Jerusalem
Dr. Tomer Shadmy’s research focuses on the governance of data-driven technologies, and on the impact of new technology on democracy and human rights. Her scholarship is situated in the burgeoning field of Law, Ethics, and Computer Science. She explores the regulation of social media platforms, data governance, and regulation and auditing of Artificial Intelligence (AI). Dr. Shadmy is a research fellow at The School of Computer Science & Engineering Hebrew University of Jerusalem, and at the Federmann Cyber Security Research Center.
She is an adjunct professor for Computer Science, Law and Ethics at Tel Aviv University and at the Hebrew University of Jerusalem. Previously she was a visiting professor at The University of Turin, and a research fellow at the Program on Corporate Governance, Harvard Law School and at The Paris Institute of Political Studies (Sciences Po).
Workshop 2
AI in Healthcare and Medicine:
From Models to Trustworthy Clinical Decision Systems
Prof. Dr. Jingui Xie, Chair of Business Analytics, Center for Digital Transformation at TUM Campus Heilbronn, Technical University of Munich
Artificial Intelligence is rapidly transforming healthcare, yet a fundamental gap remains between algorithmic advances and their reliable integration into clinical practice. This workshop focuses on moving beyond models toward trustworthy, interpretable, and operational decision-support systems that can be safely embedded in high-stakes medical environments.
Bringing together researchers from operations management, machine learning, and clinical domains, the workshop will address key challenges such as sequential decision-making under uncertainty, causal inference from observational health data, human–AI interaction in clinical workflows, and the design of robust treatment policies. Applications will include intensive care, resource allocation, and personalized medicine.
The workshop will feature invited talks, contributions from TUM researchers, and selected external partners, with the aim of fostering interdisciplinary collaboration and identifying pathways for translating AI innovations into impactful healthcare solutions.
Prof. Dr. Jingui Xie
Chair of Business Analytics, Center for Digital Transformation at TUM Campus Heilbronn, Technical University of Munich
Prof. Dr. Jingui Xie specializes in Business Analytics and Healthcare Management. He explores how data analytics and Queueing Models can enhance healthcare systems, especially in the context of air pollution and COVID-19. His other research includes ICU Data Analytics and Joint Estimation and Optimization, aiming to optimize healthcare systems through data-driven models.
Prof. Xie is a core member of the Munich Data Science Institute and a W3 professor at the Technical University of Munich since 2020. He held previous posts at Brunel University London and was a Visiting Researcher at Cambridge Judge Business School. With a Ph.D. from Tsinghua University, Prof. Xie has a notable record of visiting professorships across global institutions.
Workshop 3
AI and the Transformation of Work and Business Processes
Prof. Dr. Luise Pufahl, Chair of Information Systems at TUM Campus Heilbronn, Technical University of Munich
Artificial intelligence is rapidly transforming how organizations design, execute, and manage business processes. From AI-assisted decision-making and process automation to intelligent analytics and digital platforms, AI technologies are reshaping work practices, organizational structures, and the distribution of tasks between humans and machines. While these developments promise substantial gains in productivity and efficiency, they also raise important questions regarding the future of work, organizational governance, and the design of human–AI collaboration in business processes.
This workshop aims to bring together researchers from information systems, artificial intelligence, economics, and organizational studies to explore how AI is transforming work and business processes in organizations. By fostering interdisciplinary dialogue, the workshop aims to identify emerging research questions, share methods and empirical insights, and develop new perspectives on how organizations can harness AI to transform business processes while supporting effective and responsible forms of work.
Prof. Dr. Luise Pufahl
Prof. Dr. Luise Pufahl, Chair of Information Systems at TUM Campus Heilbronn, Technical University of Munich
Prof. Dr. Luise Pufahl leads the Information Systems professorship at the Technical University of Munich. She earned her PhD in Computer Science at the University of Potsdam and was a postdoctoral researcher at the Technical University of Berlin. Her research focuses on analyzing and automating resource and knowledge intensive business processes, including compliance and ecological sustainability. She has taught Business Process Management and Process Mining for over ten years. She serves on the BISE Editorial Board and has published more than 50 peer reviewed articles.
Workshop 4
Advances in the Quantum Internet
Prof. Alexander Ling, Dieter Schwarz Foundation Professor in Quantum Communication and Security, National University of Singapore
This workshop will bring together leading groups that are working to advance quantum technologies, with the vision of a future where quantum computers and devices can be connected in a global network. It will share advances in quantum technology research, in particular in the domain of connected quantum devices, with the GTF audience. Partners of the Research Hub would be encouraged to advertise this event to their quantum technology colleagues so they could also attend.
Prof. Alexander Ling
Prof. Alexander Ling, Dieter Schwarz Foundation Professor in Quantum Communication and Security, National University of Singapore
Professor Alexander Ling is a Principal Investigator at the Centre for Quantum Technologies, and a member of the Department of Physics at the National University of Singapore. In 2025, he was appointed the Dieter Schwarz Foundation (DSF) Professor in Quantum Communication and Security at NUS, a position he will hold for two years. Alexander was previously Chief Scientific Officer for the National Quantum Office and Director of the Quantum Engineering Programme. In 2024, he was named as a Distinguished International Associate of the UK Royal Academy of Engineering. His research interests are in global quantum networks enabled with satellites, repeaters and memories. He is also co-founder of two quantum technology spinoffs.
