13 October 2017
Sebastian Poledna gave a talk on "Simulating entire societies and economies on a computer".
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.
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.
Last edited: 30 October 2017
Global Challenges and Data-Driven Science
Systemic Risk and Network Dynamics
Hochrainer-Stigler S, Colon C, Boza G, Brännström Å, Linnerooth-Bayer J, Pflug G , Poledna S, Rovenskaya E, et al. (2019). Measuring, modeling, and managing systemic risk: the missing aspect of human agency. Journal of Risk Research: 1-17. DOI:10.1080/13669877.2019.1646312. (In Press)
Hochrainer-Stigler S, Pflug G , Dieckmann U , Rovenskaya E, Thurner S, Poledna S, Boza G, Linnerooth-Bayer J, et al. (2018). Integrating Systemic Risk and Risk Analysis Using Copulas. International Journal of Disaster Risk Science 9 (4): 561-567. DOI:10.1007/s13753-018-0198-1.
Pichler A, Poledna S, & Thurner S (2018). Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem. Journal of Financial Stability (In Press)
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.
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