AI in Finance & LegalTech & Digital Services

Digital Services & LegalTech & Finance

In the dynamic intersection of finance, digital services, and LegalTech, our research initiatives stand at the forefront, navigating complex landscapes with adept analytical prowess and innovation. Driven by the ambition to decipher the nuanced intricacies within these sectors, our center brings together expertise in algorithmic strategies, computational analyses, and risk management to pave the way for a more transparent and efficient future.

As we stand at the cusp of a digital revolution, the necessity for holistic solutions that embody both financial acumen and technological advancement is ever more pressing. From delving into financial mathematics to unraveling the potentialities within stochastic finance models, our endeavors are grounded in a profound understanding of the market dynamics and the evolving digital services landscape. Our research further encompasses the realms of computational social science and linguistics, aiming to foster a deeper synergy between human interactions and technological advancements.

In this vibrant ecosystem of innovation, our focus also gravitates towards optimizing methods in finance, fostering advancements in AI privacy and policy, and cultivating the growth of Explainable AI in the legal sector. Through a rich tapestry of interdisciplinary collaboration, i
ncluding groups from Social and Political Sciences (D-​GESS), Computer Science (D-​INFK), Information Technology and Electrical Engineering (D-ITET) and Mathematics (D-​MATH) departments, as well as UZH, 
we are committed to crafting intelligent solutions that anticipate the future trajectories in the domains of finance and digital services. 

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Research topics include

  • Financial Math & Risk Management
  • Algorithmic Game Theory
  • Explainable AI & LegalTech
  • Stochastic Finance Models
  • AI Privacy & Policy
  • Natural Language Processing
  • Computational Linguistics
  • Computational Social Science
  • AI for Design
  • Optimization Methods in Finance
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