Avhandlingar
Meet SSE in London - One-on-one sessions (EMBA)
2026-04-25, 14:00 - 17:00
We will be in London on April 25, 2026, and would love to meet you for a one-on-one session!
Conference | Gender gaps in the AI economy
2026-04-27, 09:00 - 16:00
AI is changing the rules of the economy - who gets hired, who advances, and whose work is automated or augmented. This one-day conference, hosted by the Stockholm Institute of Transition Economics (SITE), convenes researchers and practitioners to examine how AI may widen or narrow gender gaps, and what evidence and policy can do to steer outcomes toward greater equality.
Information session in Stockholm
2026-04-29, 08:30 - 09:30
Looking for an Executive MBA from a leading international business school? Stockholm School of Economics offers you the opportunity to earn both an MBA degree and three international certificates.
Research seminar | The impact and limitations of automating software component quality management - 29 Apr 2026
2026-04-29, 12:00 - 13:30
Join us at the House of Innovation for a research seminar with Assistant Professor Seongkyoon Jeong from the University of Tennessee. Register now to secure your seat.
Meet SSE in Milan - One-on-one sessions (EMBA)
2026-05-03, 14:00 - 17:00
We will be in Milan on May 3, 2026, and would love to meet you for a one-on-one session!
Meet SSE in Milan - One-on-one sessions (EMBA)
2026-05-04, 09:00 - 12:00
We will be in Milan on May 4, 2026, and would love to meet you for a one-on-one session!
SSE Alumni Event in Munich
2026-05-04, 17:30 - 21:00
Art in Leadership: Creating Value in the Age of AI
SITE Seminar | Propaganda and disinformation as components of hybrid warfare: The case of the Russian–Ukrainian war
2026-05-05, 12:00 - 13:00
Join us for the next SITE Seminar! On May 5, 2026, we welcome Nina Khairova to discuss how misinformation escalates into coordinated propaganda campaigns in digital environments, and what this implies for detecting manipulative information in the context of hybrid warfare. The seminar introduces a framework for AI-based misinformation detection and uses the Russian–Ukrainian war as a case study to illustrate why context-aware approaches are essential.