Research proposals

Submitted research proposals

A list of research proposals that our COST Action FinAI has created and compiled.

• November 2020: CHIST-ERA Consultation. We submitted those proposed topics.

Research ideas and new topics

• • Joerg Osterrieder, Switzerland
    • Interested in joint collaborations (with the goal of academic publications) on Fintech, AI in Finance, Reinforcement Learning in Finance, Machine Learning with a focus on empirical data-driven work relevant for the Finance industry.
    • Happy to invite PhD students to come to Switzerland, either via STMS or directly based on one of our research projects, via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.

• • Branka Hadji Misheva, Switzerland
    • Interested in joint collaborations (with the goal of academic publications) on Fintech and AI in Finance, with a specific focus on explainable AI applications in finance.
    • Happy to engage in joint academic research; papers/data/code sharing; invite/visit researchers working on topics related with ML solutions for risk management; joint research proposals (via the Swiss National Foundation, EU Horizon, Innosuisse etc.).

• • Florian Bozhdaraj, Switzerland
    • Interested in joint collaborations with industry partners on Fintech, Machine Learning/Deep Learning in Financial Engineering, Risk Management and Blockchain.
    • Happy to engage in joint academic research; application and data sharing; joint research proposals via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.

• • Florian Bozhdaraj, Switzerland
    • Interested in joint collaborations with industry partners on Fintech, Machine Learning/Deep Learning in Financial Engineering, Risk Management and Blockchain.
    • Happy to engage in joint academic research; application and data sharing; joint research proposals via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.

• • Mark James Thompson, Switzerland
    • Interested in joint collaborations with industry and academic partners on:
      • options trading and options portfolio management topics; and,
      • options topics on blockchain and (unifying) crypto-asset markets.
    • Interested academic partners in epistemological foundations of:
      • statistical and causal inference; and,
      • explainable AI.
    • Putative education initiatives:
      • Circulating PhD Program where PhDs write a publishable paper at each member institution;
      • Online sequence of public MOOC courses based on the material issuing from the network.