Venue: C1.060

Presenter: Roman Stollinger

Title: Comparative Advantage in AI: Positioning the EU Amongst its Trade Partners

Abstract
This thesis examines how the accumulation of AI-related knowledge has shaped the comparative advantage of countries in global trade since 2010 and assesses the implications for the technological sovereignty goals of the EU. Using an extended Heckscher Ohlin Vanek (HOV) framework with factor-content corrections proposed by Trefler and Zhu (2010), AI and non-AI patent stocks are integrated alongside traditional labour and capital stock endowments to analyse trade patterns across 45 countries from 2010 to 2021. The empirical analysis reveals strong support for the HOV framework, with sign test achieving 90% success rate and patents performing better than traditional factors of labour and capital in predicting trade patterns. The results demonstrate that as of 2021, the US, China, and Korea hold a comparative advantage in AI patents, while the EU does not. Within the EU, only the Netherlands, Sweden, and Finland attempt to maintain a comparative advantage, whereas major economies, including Germany, France, and Italy, lag. The relative factor abundance in AI patents for the EU deteriorated between 2012 and 2019, coinciding with the rise of China and reflecting internal fragmentation among member states. These findings indicate that the lack of comparative advantage in AI for the EU creates strategic vulnerabilities that undermine its technological sovereignty goals, particularly as AI becomes embedded in critical infrastructures. For the EU to achieve genuine strategic autonomy, regulatory leadership must be complemented by strengthened capabilities in AI-enabling hardware, reduced dependence on foreign AI intellectual property, improved translation of research into commercial innovation, and cohesion-oriented policies addressing internal capability divergence. The research contributes to the literature by demonstrating that accumulated knowledge stocks measured through patents constitute cumulative factors that shape comparative advantage, and empirically by providing the first comprehensive HOV analysis of AI-related patent endowments across major trading economies.

Venue: Room-31.C1.060

by Yue Shang

Venue: A1.370

Speaker: Kevin Elliott
Title: Values, Science and Institutions: Exploring the values served by standardization.

Venue: C1.060

Venue: TU Delft Campus Den Haag, Spui 5 (vierde verdieping), 2511 BL Den Haag

Digital autonomy

On 9 June, the Delft Design for Values Institute of TU Delft hosts a workshop on Digital Autonomy for policymakers, municipalities, civil society and companies at Spui Campus in The Hague, in collaboration with TU Delft | Campus The Hague.

What exactly do we mean by digital autonomy? And what can organizations, such as municipalities, universities and companies, do to advance digital autonomy?
The event provides the opportunity to connect with scientists and stakeholders in the field of digital autonomy.
The aim of the workshop is to jointly gain a better understanding of the challenges that designing for digital autonomy practically and theoretically poses, and how research in this area can strengthen practice in the coming years.
There will also be a panel discussion, pitches from scientists, policymakers and relevant societal stakeholders, and we will share ideas and come up with concrete suggestions during roundtable discussions. Interested?
Then please join! Do you know stakeholders whom we should invite? Get in touch with DDfV!

Language: The working language is Dutch, but some speakers will present in English.

More information, full program and registration via
S: www.aanmelder.nl/173821/home