Introduction

FNA’s Academic Collaboration is a program to provide tools, data and resources to universities for collaboratively solving challenges faced by policy makers and financial institutions in today’s challenging environment, and for training the next generation of leaders.

Who is it for?

The program is aimed at academics involved in research and/or teaching.

What are the benefits?

Participants in FNA’s Academic Collaboration Program will enjoy the following benefits:

  • Renewable 12-month access to FNA’s award-winning platform at g20monitor.com (for both academics and students) that can be used as part of fintech, finance and network science courses
  • Access to an extensive collection of proprietary and exclusive student projects and research data
  • Work with FNA to deliver engaging courses on network analytics and other relevant topics
  • FNA to feature select research contributions via the FNA website, newsletters and events
  • Recommend best-in-class students for FNA’s Internship Program
  • Access to FNA Seminar Series, which includes recorded and live presentations by leading academics and industry experts including FNA’s Founder and CEO Kimmo Soramaki
  • Hard copy of Financial Risk and Network Theory book – (forthcoming 2nd edition)
  • Support for academic grants

Current Academic Partners

How to apply?

If you are interested in participating in FNA’s Academic Collaboration Program, please contact Adam Csabay at [email protected].

News and Events

FNA Talks: Data Science in Economics and Finance for Decision Makers
Data Science in Economics and Finance for Decision Makers with ECB’s Per Nymand-Andersen.  In this latest episode of the FNA Talks podcast series, the ECB’s Per Nymand-Andersen joins FNA’s Suptech Lead, Adam Csabay to discuss one of the most awaited Fintech publications of 2021: Data Science in Economics and Finance for Decision Makers.  Per – […]
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FNA contributes to Risk Book's: Data Science in Economics and Finance for Decision Makers, Edited by Per Nymand-Andersen. 
FNA’ers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tuomas Takko and Adam Csabay contributed to the recent Risk Book: Data Science in Economics and Finance for Decision Makers, edited by the European Central Bank’s Per Nymand-Andersen.  The chapter FNA authored, Prudential Stress Testing in Financial Networks, provides a taxonomy of organizational problems facing firms operating in […]
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