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AI Lund lunch seminar: AI fairness on our digital markets

7 maj 2025 12:00 till 13:00 | Seminarium Recording on ai.lu.se/tv Topic: AI fairness on our digital marketsWhen: 7 May at 12.00-13.00Where: OnlineSpeakers: Behrang Kianzad, Business Law, LUSEM, Lund UniversitySpoken language: EnglishAbstractRecent years have witnessed the re-emergence of the highly contested concept of “fairness” in European competition law, economics and policy, not least regardi

https://www.lu.se/evenemang/ai-lund-lunch-seminar-ai-fairness-our-digital-markets - 2026-07-02

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Pole placement is a well-established design method for linear control systems. Note however that with an output feedback controller of low-order such as the PID controller one cannot achieve arbitrary pole placement for a high-order or delay system, and then partially or hopefully, dominant pole placement becomes the only choice. To the best of the authors' knowledge, no method is available in the

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Although the communication aspects of sport and football organizations are receiving in-creased scholarly attention, research from the perspective of fans of such organizations has mostly been neglected. This study problematizes the gap that exists be-tween the current social media communication of football organizations, that tend to be guided by commercial interests, and the expectation of fans

CMES Seminar: Challenges and Strategies for Fieldwork in Repressive and Illiberal Countries.

9 april 2026 13:15 till 14:30 | Seminarium Presentation by Merouan Mekouar, York University, Canada. Scholars conducting research in their native repressive or illiberal countries face a range of challenges that are distinct from those experienced by non-native scholars. These challenges include the burden of family history, gender, ethnic or religious identity, legal threats and administrative pe

https://www.lu.se/evenemang/cmes-seminar-challenges-and-strategies-fieldwork-repressive-and-illiberal-countries - 2026-07-02

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This thesis explores how transaction costs affect the optimality of hedging when using Black-Scholes option pricing model. Further, a number of models developed to improve the hedging results of Black-Scholes, when accounting for transaction costs, are analysed and compared. To numerically evaluate these strategies, extensive Monte-Carlo simulations are generated and the results of the strategies