Management of Technology & Entrepreneurship Institute

The establishment of the Management of Technology & Entrepreneurship Institute demonstrates a commitment to advancing knowledge and understanding in the areas of technology management, entrepreneurship, and public policy. Institutes like these play a crucial role in promoting research, fostering innovation, and developing programs that equip individuals with the skills and knowledge needed to succeed in these fields.

By combining these three domains, the Management of Technology & Entrepreneurship Institute aims to create a comprehensive understanding of how technology, entrepreneurship, and public policy intersect and influence each other. This interdisciplinary approach is crucial for addressing the challenges and opportunities in today’s rapidly evolving business and societal landscape.

MTEI teaching programs

Fields of Competences

  • Business analytics
  • Economic Analysis
  • Entrepreneurial strategies
  • Machine Learning
  • Management of innovation
  • Operations & supply chain management
  • Optimization
  • Policy & Sustainability
  • Technology commercialization
  • Technology & IP Policy 

UPCOMING EVENTS

No scheduled events

See all events

RECENT PUBLICATIONS

2026

Learning Peer Influence Probabilities with Linear Contextual Bandits

A. S. Faruk; M. Shahverdikondori; E. Zheleva 

2026. KDD ’26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Jeju Island Republic of Korea, p. 1073 – 1084. DOI : 10.1145/3770855.3817733.

Labor market risk shapes individuals’ environmental attitudes and policy preferences

V. González-Rostani; L. Beiser-McGrath; M. Aklin 

Ecological Economics. 2026. Vol. 246. DOI : 10.1016/j.ecolecon.2026.108973.

Smooth approximation of the minimum function from below (and above)

T. A. Weber 

Journal of Inequalities and Applications. 2026. DOI : 10.1186/s13660-026-03519-3.

Fair Allocation of an Exhaustible Resource

T. A. Weber 

2026. 24th European Control Conference (ECC 2026), Reykjavík, Iceland, 2026-07-07 – 2026-07-10.

Distributionally Robust Linear Quadratic Gaussian Regulator with Stationary Distributions

A. Schöbi; N. Lanzetti; F. Dörfler; R. D’Andrea; A. Terpin 

IEEE Control Systems Letters. 2026. DOI : 10.1109/lcsys.2026.3710803.

CONTACT

Director of the Institute:
Prof. Daniel Kuhn
EPFL CDM MTEI
Odyssea, Station 5, 1015 Lausanne

Administration:
Amandine Weissbrodt
T: +41 21 693 0122