Big Data Winter School on Complex Financial Networks, 9-13 January 2017, University of Zurich, Switzerland


December 07, 2016


Opportunity Cover Image - Big Data Winter School on Complex Financial Networks, 9-13 January 2017, University of Zurich, Switzerland


The ability to manage and process massive and heterogeneous data is crucial for financial institutions and regulators in order to successfully manage both individual risk as well as systemic risk. Nonetheless, financial research and training has been slow in addressing the BigData revolution.

The BigDataFinance Winter School aims to fill this gap within by providing participants with state-of-the-art knowledge and practical tools on financial networks and applications for both risk management and policy.

The school covers the recent developments in the growing field of the Financial Networks, from the perspective of BigDataFinance, Systemic Risk and Sustainability. The school will provide introductory lectures to financial network analysis as well as more advanced lectures on network models of financial contagion and systemic risk. Several tutorials will focus on software tools for network analysis and visualization. Other tutorials will focus extracting information from financial network datasets. Participants will be able to attend a two-day, international conference on Financial Networks organized by the FINEXUS Center, including a high level panel discussion event.

The BigDataFinance Winter School is part of the EU Marie SkÅ‚odowska-Curie Research Fellowship Programme (access via original web page). However, we are also happy to consider submissions from external participants. 

Tuition Fees are 200 CHF for external participants (no fees for MC PhD Fellows). Accommodation and travel costs are not covered by the organizers. Successful applicants will receive a confirmation and further instructions via email.

Venue: Room t.b.a., Andreasstrasse 15, Building AND, 8050 Zürich

Time: 09.01.2017 – 13.01.2017

How To Apply?

To participate in the winter school You have to  apply online by visiting the original web site.


Professor Stefano Battiston, University of Zurich

Professor Juho Kanniainen, Tampere University of Technology, BigDataFinance Coordinator

Preliminary Agenda

BDF = Big Data Finance School “Complex Financial Networks”

MC = Marie Sklodowska-Curie Research Fellowship Programme


Mon, 09.Jan

09:00 – 12:00 BDF lectures: Introduction to financial networks

                                              Stefano Battiston,  Marco D’Errico

13:00 – 16:00 BDF tutorials: Network Analysis and Visualization Tools

                                               James Glattfelder, Borut Sluban

16:00 – 19:00 MC students’ presentations


Tue, 10.Jan

 09:00 – 12:00 BDF lectures: Network models of financial contagion

                                               Stefano Battiston,  Paolo Barucca

 13:00 – 16:00 BDF Tutorials: Financial Networks Data - Marco D’Errico, James Glattfelder

 16:00 – 18:00 MC students’ presentations


Wed, 11.Jan

 09:00 – 10:30 BDF lectures: Investor networks in stock markets

                                                Juho Kanniainen

 10:30 – 12:00 BDF lectures: Credit valuation adjustments by a network-based methodology

                                                Sumit Sourabh

 13:00 – 16:00 BDF Tutorials: Block-chain technologies for financial markets

                                                 Richard Olsen, Anton Golub

 16:00 – 19:00 MC students’ presentations


Thu, 12.Jan

 2 day FINEXUS conference on financial networks and sustainability, open to BDF students

 09:00 – 11:00 general public session: NGOs and civic society

 14:00 – 16:30 civic engagement dashboards

 17:30 – 19:00 public debate hosting Nobel Laureate Prof. Joseph Stiglitz, Columbia Univ.


Fri, 13.Jan

 09:00 – 12:00 academic session: Financial Networks and Policy applications

 13:00 – 16:00 academic session: Financial Networks and Policy applications

For more information please click on "Further official information" below.

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Publish Date
November 15, 2016