Financial Systems SIMulation and POLicy Modelling (SIMPOL)

Objectives

In SIMPOL, network science, big data and ICTs meet economics and financial regulation. Only a truly interdisciplinary approach will lead to the fundamental advances in modelling financial and climate policies that our society needs today. On the one hand, we will develop new methods to assess the systemic importance of market players in complex (climate) financial networks and investigate which regulations could help to ignite a transition towards a greener economy and a more sustainable financial system. On the other hand, we will leverage on open data initiatives and the semantic web to empower citizens with a more active role in relation to EU policies. In particular, we will crowd-source the task to map the networks of influence involved in the policy making process. The results will contribute to the discussion on how financial innovations could ignite a transition towards a greener economy and a more sustainable financial system.

Accordingly, we plan to:

1. Develop new-generation models of financial networks and provide tools to quantify the accuracy in the estimation of systemic risk to better inform the discussion about financial information disclosure, in particular with respect to non-conventional banking.
2. Identify key actors and instruments to contribute to the design of a more sustainable climate-financial system. Because the sustainability of the financial system is a societal issue, the input of civic society cannot be neglected. While the details of the regulation of climate-financial instruments require very specific competences and can hardly attracts the attention of the civic society, it is possible to increase the transparency over the interests of the stakeholders involved in the decision making process around climate-finance policies.

For more information, visit the project website: http://www.simpolproject.eu/

Funded by

European Commission’s Seventh Framework Programme (2007 – 2013), under the grant agreement number 610704.

GCF project team

• Franziska Schütze
• Carlo Jaeger

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