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Recognition

Scientific awards & grants

2023
ENABLE Grant — Project FindeX
EPFL Technology Transfer Office. Project "FindeX – Identification of Systemically Important Financial Institutions via network ranking." Grant for commercialization of academic research on growing and changing network ranking.
2022
Enterprise for Society Grant (E4S)
E4S Center, EPFL, IMD and UNIL. Project "Influence of Natural Disasters on Circular Supply Chains. Can Risk Circulation Be Avoided?" (Grant E4S_3_3_03)
2020
DataContest Winner — Accounts Chamber of the Russian Federation
Project "FindeX – Ranking of Growing Networks"
2017
University of Vienna Publication Award
For the article "Incorporating Model Uncertainty into Optimal Insurance Contract Design", published in Insurance: Mathematics and Economics, Elsevier.
2015
Schrödinger Fellowship — Austrian Science Fund (FWF)
Personal research grant J3674-N26 (PI: Anna Timonina-Farkas). 2015–2017 at EPFL, Lausanne, Switzerland; 2017–2018 at the University of Vienna, Austria.
2013
Best Student Paper Prize — Computational Management Science
10th International Conference on Computational Management Science, Montreal, Canada. For the article "Multi-Stage Stochastic Optimization: The Distance Between Stochastic Scenario Processes."

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2011
Mikhalevich Award — IIASA, Laxenburg, Austria
International Institute for Applied Systems Analysis. Project "CATOPT: Risk-Management of Natural Disasters."

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2011
Conference Award — MIPT, Moscow, Russia
Best Paper Award at the 52nd Scientific Conference at Moscow Institute of Physics and Technology. For the article "PageRank: New Regularizations and Simulation Models."

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Research funding

Scientific grants

2023–2024
EPFL TTO Enable Grant
PI: Anna Timonina-Farkas. Project FindeX — ranking of growing and changing networks.
2023–2024
Enterprise for Society Center (E4S), EPFL, IMD and UNIL
PI: Anna Timonina-Farkas. Project E4S_3_3_03 — "Influence of Natural Disasters on Circular Supply Chains. Can Risk Circulation be Avoided?"
2018–2019
Swiss National Science Foundation
PI: Ralf W. Seifert. Project 100018_179272 — "Modeling Supply Chain Disruptions: A network flow approach."
2015–2018
Schrödinger Fellowship — Austrian Science Fund (FWF)
PI: Anna Timonina-Farkas. Personal research grant J3674-N26.