13 October 2017

Sebastian Poledna participated in CODATA 2017 conference

International conference on Global Challenges and Data-Driven Science (CODATA 2017) took place in St. Petersburg, Russia on 8-13 October, 2017. The Conference explored the fundamental issues related to the availability, (re-)use and scientific analysis of data that relate to the most significant contemporary global challenges. 

Sebastian Poledna gave a talk on "Simulating entire societies and economies on a computer". 

CODATA (International Council for Science : Committee on Data for Science and Technology)

CODATA exists to promote global collaboration to improve the availability and usability of data for all areas of research. CODATA supports the principle that data produced by research and susceptible to be used for research should be as open as possible and as closed as necessary. CODATA works also to advance the interoperability and the usability of such data: research data should be intelligently open or FAIR. By promoting the policy, technological and cultural changes that are essential to make research data more widely available and more usable, CODATA helps advance ICSU’s mission of strengthening international science for the benefit of society.

The updated CODATA Strategic Plan 2015 and Prospectus of Strategy and Achievement 2015-2017 identify three priority areas:

  1. promoting principles, policies and practices for Open Data and Open Science;
  2. advancing the frontiers of data science;
  3. building capacity for Open Science by improving data skills and the functions of national science systems needed to support open data.

CODATA achieves these objectives through a number of standing committees and strategic executive led initiatives, and through its Task Groups and Working Groups. CODATA supports the Data Science Journal and collaborates on major data conferences like SciDataCon and International Data Week.

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Last edited: 30 October 2017


Sebastian Poledna

Research Scholar

Advanced Systems Analysis

Risk and Resilience

T +43(0) 2236 807 261


Global Challenges and Data-Driven Science

Systemic Risk and Network Dynamics

Cross-cutting project


Leduc MV, Poledna S, & Thurner S (2017). Systemic risk management in financial networks with credit default swaps. The Journal of Network Theory in Finance 3 (3): 19-39. DOI:10.21314/JNTF.2017.034.

Poledna S, Bochmann O, & Thurner S (2017). Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes. Journal of Economic Dynamics and Control 77: 230-246. DOI:10.1016/j.jedc.2017.02.004.

Leduc MV, Poledna S, & Thurner S (2016). Systemic Risk Management in Financial Networks with Credit Default Swaps. SSRN Electronic Journal: 1-20. DOI:10.2139/ssrn.2713200.

Poledna S & Thurner S (2016). Elimination of systemic risk in financial networks by means of a systemic risk transaction tax. Quantitative Finance: 1-15. DOI:10.1080/14697688.2016.1156146.

Poledna S, Molina-Borboa JL, Martinez-Jaramillo S, van der Leij M, & Thurner S (2015). The multi-layer network nature of systemic risk and its implications for the costs of financial crises. Journal of Financial Stability 20: 70-81. DOI:10.1016/j.jfs.2015.08.001.

Poledna S, Thurner S, Farmer JD, & Geanakoplos J (2014). Leverage-induced systemic risk under Basle II and other credit risk policies. Journal of Banking & Finance 42 (1): 199-212. DOI:10.1016/j.jbankfin.2014.01.038.

Thurner S & Poledna S (2013). DebtRank-transparency: Controlling systemic risk in financial networks. Scientific Reports 3: no.1888. DOI:10.1038/srep01888.

International Institute for Applied Systems Analysis (IIASA)
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