2023W

• Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
• Modeling and Simulation / 194.076 / VU
• Modelling and Simulation in Health Technology Assessment / 194.094 / VU

2024S

• Advanced Modeling and Simulation / 194.056 / VU
• Bachelor Thesis / 188.919 / PR

• Verlässliche und integrierte Planung von Umläufen und Schichten in Eisenbahnsystemen
  2023 – 2025 / Austrian Research Promotion Agency (FFG)
• Durchimpfungsraten MMR-Polio und HPV 2022
  2023 / BM für Soziales, Gesundheit, Pflege und Konsumentenschutz
• Pro-Active Routing for Emergency Testing in Pandemics
  2022 – 2025 / Austrian Science Fund (FWF)
• AI-based planning for greener train operations
  2022 – 2025 / Austrian Research Promotion Agency (FFG)
• Durchimpfungsraten HPV
  2022 – 2023 / Bundesministerium für Soziales und Konsumentenschutz
• Durchimpfraten Polio und MMR
  2022 / Bundesministerium für Soziales und Konsumentenschutz
• Modell zur qualitativen Vorhersage des weiteren Parkinson Verlaufs auf Basis der Gangdatenanalyse von Freezing Patienten
  2021 – 2023 / Austrian Research Promotion Agency (FFG)
• imProve- Managing the Health Product Development
  2016 – 2018 / Medizinische Universität Wien
• Decision Support for Health Policy and Planning: Methods, Models and Technologies based on existing health care data
  2014 – 2019 / Austrian Research Promotion Agency (FFG)

2023

• Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Zechmeister, M., & Popper, N. (2023). Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study. arXiv. https://doi.org/10.34726/5480
  Download: PDF (1.26 MB)
  Project: KLIPHA-COVID19 (2020–2021)
• Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological data / Schneckenreither, G., Herrmann, L., Reisenhofer, R., Popper, N., & Grohs, P. (2023). Assessing the heterogeneity in the transmission of infectious diseases from time series of epidemiological data. PLoS ONE, 18(5), Article e0286012. https://doi.org/10.1371/journal.pone.0286012
  Download: PDF (2.75 MB)

2022

• Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system / Bicher, M., Zuba, M., Rainer, L., Bachner, F., Rippinger, C., Ostermann, H., Popper, N., Thurner, S., & Klimek, P. (2022). Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system. Communications Medicine, 2(1), Article 157. https://doi.org/10.1038/s43856-022-00219-z
• An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply / Bicher, M., Rippinger, C., Zechmeister, M., Jahn, B., Sroczynski, G., Mühlberger, N., Santamaria-Navarro, J., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2022). An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply. PLoS ONE, 17(5), Article e0265957. https://doi.org/10.1371/journal.pone.0265957
• Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria / Ledebur, K., Kaleta, M., Chen, J., Lindner, S. D., Matzhold, C., Weidle, F., Wittmann, C., Habimana, K., Kerschbaumer, L., Stumpfl, S., Heiler, G., Bicher, M., Popper, N., Bachner, F., & Klimek, P. (2022). Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria. PLoS Computational Biology, 18(4), Article e1009973. https://doi.org/10.1371/journal.pcbi.1009973
• Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects / Bicher, M., Rippinger, C., Schneckenreither, G., Weibrecht, N., Urach, C., Zechmeister, M., Brunmeir, D., Huf, W., & Popper, N. (2022). Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects. Scientific Reports, 12(1), Article 2872. https://doi.org/10.1038/s41598-022-06771-x
• OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting / Weise, M., Kovacevic, F., Popper, N., & Rauber, A. (2022). OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting. Data Science Journal, 21(1), 1–18. https://doi.org/10.5334/dsj-2022-004
• Convergence Properties of Hierarchical Co-simulation Approaches / Hafner, I., & Popper, N. (2022). Convergence Properties of Hierarchical Co-simulation Approaches. In Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops (pp. 156–172). https://doi.org/10.1007/978-3-031-12429-7_12
• P16 COVID-19 Vaccination Strategies Considering a Vaccine Adapted to a New Variant of Concern: A Decision-Analytic Modeling Study / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Popper, N., & Siebert, U. (2022). P16 COVID-19 Vaccination Strategies Considering a Vaccine Adapted to a New Variant of Concern: A Decision-Analytic Modeling Study [Conference Presentation]. ISPOR Europe 2022, Vienna, Austria. https://doi.org/10.1016/j.jval.2022.04.022
• Time Dynamics of the Spread of Virus Mutants with Increased Infectiousness in Austria / Bicher, M., Rippinger, C., & Popper, N. (2022). Time Dynamics of the Spread of Virus Mutants with Increased Infectiousness in Austria. In 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022: Vienna Austria, 27–29 July 2022 (pp. 445–450). https://doi.org/10.1016/j.ifacol.2022.09.135
• Lehren und mögliche Ableitungen aus der COVID-19-Pandemie / Popper, N., & Emrich, Š. (2022). Lehren und mögliche Ableitungen aus der COVID-19-Pandemie. In Sicher. Und Morgen?: Risikolandschaft Österreich 2022 (pp. 251–256).
• AB1393 RHEUMABUDDY4.0 LEADING THE PATH TO A PATIENT-DRIVEN ELECTRONIC SUPPORT AND MONITORING TOOL / Studenic, P., Stamm, T., Seidler, Y., Dam, A., Weibrecht, N., Zauner, G., Jakobsen, T. H., Hansen, R. L., Popper, N., Wilhelmer, T. C., Radner, H., Ramos, R., Rickmann, J., Urach, C., Kristensen, L. E., & Jørgensen, T. S. (2022). AB1393 RHEUMABUDDY4.0 LEADING THE PATH TO A PATIENT-DRIVEN ELECTRONIC SUPPORT AND MONITORING TOOL. Annals of the Rheumatic Diseases, 81(1), 1801–1802. https://doi.org/10.1136/annrheumdis-2022-eular.1748
• POS1470-HPR KNOWING WHAT TO DO WITH THE DATA - A QUALITATIVE STUDY ON CHALLENGES OF USING SMARTPHONE-BASED ePROs IN RHEUMATOID ARTHRITIS / Seidler, Y., Jørgensen, T. S., Studenic, P., Radner, H., Nygaard, T., Weibrecht, N., Popper, N., Kristensen, L. E., Wilhelmer, T. C., Rickmann, J., Mosor, E., Ritschl, V., & Stamm, T. (2022). POS1470-HPR KNOWING WHAT TO DO WITH THE DATA - A QUALITATIVE STUDY ON CHALLENGES OF USING SMARTPHONE-BASED ePROs IN RHEUMATOID ARTHRITIS [Poster Presentation]. EULAR 2022 – Annual European Congress of Rheumatology, Copenhagen, Denmark. https://doi.org/10.1136/annrheumdis-2022-eular.288
• Methods for Integrated Simulation - 10 Concepts to Integrate / Popper, N., Bicher, M., Breitenecker, F., Glock, B., Hafner, I., Mujica Mota, M., Mušic, G., Rippinger, C., Rössler, M., Schneckenreither, G., Urach, C., Wastian, M., Zauner, G., & Zechmeister, M. (2022). Methods for Integrated Simulation - 10 Concepts to Integrate. Simulation Notes Europe, 32(4), 225–236. https://doi.org/10.11128/sne.32.on.10627

2021

• Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2021). Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation. Medical Decision Making, 41(8), 1017–1032. https://doi.org/10.1177/0272989x211013306
• Data, Models, and Decisions: How We Can Shape Our World by Not Predicting the Future / Popper, N. (2021). Data, Models, and Decisions: How We Can Shape Our World by Not Predicting the Future. In Perspectives on Digital Humanism (pp. 297–302). Springer. https://doi.org/10.1007/978-3-030-86144-5_40
• How an Agent-Based Population Model Became a Key-Element of the Austrian Effort Against COVID-19 / Emrich, S., & Popper, N. (2021). How an Agent-Based Population Model Became a Key-Element of the Austrian Effort Against COVID-19. ERCIM News, 124, 32–33. http://hdl.handle.net/20.500.12708/138760
• Evaluation of undetected cases during the COVID-19 epidemic in Austria / Rippinger, C., Bicher, M., Urach, C., Brunmeir, D., Weibrecht, N., Zauner, G., Sroczynski, G., Jahn, B., Mühlberger, N., Siebert, U., & Popper, N. (2021). Evaluation of undetected cases during the COVID-19 epidemic in Austria. BMC Infectious Diseases, 21(70). https://doi.org/10.1186/s12879-020-05737-6
• Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Schomaker, M., Stojkov, I., Schmid, D., Weiss, G., Wiedermann, U., Redlberger-Fritz, M., Druml, C., Kretschmar, M., Paulke-Korinek, M., Ostermann, H., Czasch, C., Endel, G., … Siebert, U. (2021). Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation. Vaccines, 9(5), 434. https://doi.org/10.3390/vaccines9050434
• Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling / Schneckenreither, G., Tschandl, P., Rippinger, C., Sinz, C., Brunmeir, D., Popper, N., & Kittler, H. (2021). Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling. PLoS Computational Biology, 17(2), e1008660. https://doi.org/10.1371/journal.pcbi.1008660
• Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation / Popper, N., Zechmeister, M., Brunmeir, D., Rippinger, C., Weibrecht, N., Urach, C., Bicher, M., Schneckenreither, G., & Rauber, A. (2021). Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation. Data Science Journal, 20. https://doi.org/10.5334/dsj-2021-016
• Investigation on Stability Properties of Hierarchical Co-Simulation / Hafner, I., & Popper, N. (2021). Investigation on Stability Properties of Hierarchical Co-Simulation. SNE Simulation Notes Europe, 31(1), 17–24. https://doi.org/10.11128/sne.31.tn.10553
• An Overview of the State of the Art in Co-Simulation and Related Methods / Hafner, I., & Popper, N. (2021). An Overview of the State of the Art in Co-Simulation and Related Methods. SNE Simulation Notes Europe, 31(4), 185–200. https://doi.org/10.11128/sne.31.on.10582
• How an election can be safely planned and conducted during a pandemic: Decision support based on a discrete event model / Weibrecht, N., Rößler, M., Bicher, M., Emrich, Š., Zauner, G., & Popper, N. (2021). How an election can be safely planned and conducted during a pandemic: Decision support based on a discrete event model. PLoS ONE, 16(12), e0261016. https://doi.org/10.1371/journal.pone.0261016
• A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem / Wolfinger, D., Gansterer, M., Doerner, K. F., & Popper, N. (2021). A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem. European Journal of Operational Research, 304(1), 169–182. https://doi.org/10.1016/j.ejor.2021.10.028
• Synthese von Krankheitsausbreitungs- und Netzwerksdaten für die Covid-19-Simulation / Hanbury, A., & Popper, N. (2021). Synthese von Krankheitsausbreitungs- und Netzwerksdaten für die Covid-19-Simulation. WWTF (Vienna Science and Technology Fund) Online Lecture Series “Vienna Researches Corona,” Wien, Austria. http://hdl.handle.net/20.500.12708/87304
• Simulation, Prognose und Optimierung: Wie unterstützen Daten die Entscheidungsfindung? / Popper, N. (2021). Simulation, Prognose und Optimierung: Wie unterstützen Daten die Entscheidungsfindung? Universität Wien, Fakultät für Wirtschaftswissenschaften - Wie unterstützen Daten bei der Entscheidungsfindung?, Wien, Austria. http://hdl.handle.net/20.500.12708/87260
• Zahlen, bitte! / Popper, N. (2021). Zahlen, bitte! Theater im Park, Wien, Austria. http://hdl.handle.net/20.500.12708/87259
• Podiumsdiskussion: Krisen bewältigen - Was lernen wir aus Corona? / Popper, N. (2021). Podiumsdiskussion: Krisen bewältigen - Was lernen wir aus Corona? Internationale Akademie Traunkirchen, Traunkirchen, Austria. http://hdl.handle.net/20.500.12708/87258
• Verortung nach dem langen Lockdown / Popper, N. (2021). Verortung nach dem langen Lockdown. Austrian Health Forum, Schladming, Austria. http://hdl.handle.net/20.500.12708/87257
• "Wien erforscht Corona": Daten nutzbar machen, Infektionsdynamiken verstehen / Popper, N. (2021). “Wien erforscht Corona”: Daten nutzbar machen, Infektionsdynamiken verstehen. WWTF Online-Vortragsreihe, Wien, Austria. http://hdl.handle.net/20.500.12708/87256
• Modellierung, Daten und Entscheidungen - Was kann mathematische Simulation? / Popper, N. (2021). Modellierung, Daten und Entscheidungen - Was kann mathematische Simulation? tuForMAth, Forum Mathematik, Vienna, Austria. http://hdl.handle.net/20.500.12708/87255
• Woher kommen die Covid-19-Zahlen? / Popper, N., & Bicher, M. (2021). Woher kommen die Covid-19-Zahlen? TU Wien Alumnitag 2021, Wien, Austria. http://hdl.handle.net/20.500.12708/87254
• Artists in Discourse - MEET / Popper, N. (2021). Artists in Discourse - MEET. Europäisches Forum Alpbach, Alpbach, Austria. http://hdl.handle.net/20.500.12708/87253

2020

• Active consumer participation in smart energy systems / Schweiger, G., Eckerstorfer, L., Hafner, I., Fleischhacker, A., Radl, J., Glock, B., Wastian, M., Rößler, M., Lettner, G., Popper, N., & Corcoran, K. (2020). Active consumer participation in smart energy systems. Energy and Buildings, 227(110359), 110359. https://doi.org/10.1016/j.enbuild.2020.110359
• Die COVID 19 Pandemie / Popper, N. (2020). Die COVID 19 Pandemie. European Researchers’ Night, Vienna, Austria. http://hdl.handle.net/20.500.12708/87175
• Simulation Based Decision Support - the COVID19 Crisis in Austria / Popper, N. (2020). Simulation Based Decision Support - the COVID19 Crisis in Austria. 25th IEEE International Conference on Emerging Technologies and Factory Automation, Vienna, Austria. http://hdl.handle.net/20.500.12708/87174
• Connect. Austria's Next Supermodel / Popper, N. (2020). Connect. Austria’s Next Supermodel. Infineon - Connect. Austria’s Next Supermodel, Wien, Austria. http://hdl.handle.net/20.500.12708/87173
• Simulation Based Decision Support -the COVID19 Crisis from a Modeller's Perspective / Popper, N., & Bicher, M. (2020). Simulation Based Decision Support -the COVID19 Crisis from a Modeller’s Perspective. 25. Symposium Simulationstechnik - ASIM 2020, Ulm, EU. http://hdl.handle.net/20.500.12708/87172
• IEEE Austria Section General Assembly 2020 / Popper, N. (2020). IEEE Austria Section General Assembly 2020. IEEE Austria Section General Assembly 2020, Wien, Austria. http://hdl.handle.net/20.500.12708/87171
• Demographic Aspects of the COVID-19 Pandemic and its Consequences / Popper, N. (2020). Demographic Aspects of the COVID-19 Pandemic and its Consequences. Wittgenstein Centre Conference 2020, Wien, Austria. http://hdl.handle.net/20.500.12708/87169
• Grazer Impftag, Fortbildung für Mediziner*innen / Popper, N. (2020). Grazer Impftag, Fortbildung für Mediziner*innen. Grazer Impftag 2020, Graz, Austria. http://hdl.handle.net/20.500.12708/87170
• Investigation on Stability Properties of Hierarchical Co-Simulation / Hafner, I., & Popper, N. (2020). Investigation on Stability Properties of Hierarchical Co-Simulation. In Proceedings ASIM SST 2020. ARGESIM Verlag. https://doi.org/10.11128/arep.59.a59007
• Simulation and Optimization of Traction Unit Circulations / Rößler, M., Wastian, M., Jellen, A., Frisch, S., Weinberger, D., Hungerländer, P., Bicher, M., & Popper, N. (2020). Simulation and Optimization of Traction Unit Circulations. In Proceedings of the 2020 Winter Simulation Conference (pp. 90–101). IEEE. http://hdl.handle.net/20.500.12708/55605

2019

• Guidance for a causal comparative effectiveness analysis emulating a target trial based on big real world evidence: when to start statin treatment / Kuehne, F., Jahn, B., Conrads-Frank, A., Bundo, M., Arvandi, M., Endel, F., Popper, N., Endel, G., Urach, C., Gyimesi, M., Murray, E., Danaei, G., Gaziano, T., Pandya, A., & Siebert, U. (2019). Guidance for a causal comparative effectiveness analysis emulating a target trial based on big real world evidence: when to start statin treatment. Journal of Comparative Effectiveness Research, 8(12), 1013–1025. https://doi.org/10.2217/cer-2018-0103
• Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting / Zauner, G., Urach, C., Bicher, M., Popper, N., & Endel, F. (2019). Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting. International Journal of Simulation and Process Modelling, 14(3), 261. https://doi.org/10.1504/ijspm.2019.101012
• Why should we apply ABM for decision analysis for infectious diseases? - An example for dengue interventions / Miksch, F., Jahn, B., Espinosa, K. J., Chhatwal, J., Siebert, U., & Popper, N. (2019). Why should we apply ABM for decision analysis for infectious diseases? - An example for dengue interventions. PLoS ONE, 14(8), e0221564. https://doi.org/10.1371/journal.pone.0221564
• Budget Impact Analysis of Cancer Screening: A Methodological Review / Jahn, B., Todorovic, J., Bundo, M., Sroczynski, G., Conrads-Frank, A., Rochau, U., Endel, G., Wilbacher, I., Malbaski, N., Popper, N., Chhatwal, J., Greenberg, D., Mauskopf, J., & Siebert, U. (2019). Budget Impact Analysis of Cancer Screening: A Methodological Review. Applied Health Economics and Health Policy, 17(4), 493–511. https://doi.org/10.1007/s40258-019-00475-6
• Alternative Conversion Methods for Transition Probabilities in State-Transition Models: Validity and Impact on Comparative Effectiveness and Cost-Effectiveness / Jahn, B., Kurzthaler, C., Chhatwal, J., Elbasha, E. H., Conrads-Frank, A., Rochau, U., Sroczynski, G., Urach, C., Bundo, M., Popper, N., & Siebert, U. (2019). Alternative Conversion Methods for Transition Probabilities in State-Transition Models: Validity and Impact on Comparative Effectiveness and Cost-Effectiveness. Medical Decision Making, 39(5), 509–522. https://doi.org/10.1177/0272989x19851095
• Algorithms to identify COPD in health systems with and without access to ICD coding: a systematic review / Gothe, H., Rajsic, S., Vukicevic, D., Schoenfelder, T., Jahn, B., Geiger-Gritsch, S., Brixner, D., Popper, N., Endel, G., & Siebert, U. (2019). Algorithms to identify COPD in health systems with and without access to ICD coding: a systematic review. BMC Health Services Research, 19(737). https://doi.org/10.1186/s12913-019-4574-3
• PCN446 A Case Study Of Breast Cancer Treatment Demonstrating The Impact Of Time Dependent Transition Probability Adjustments On Comparative Cost Effectiveness / Jahn, B., Kurzthaler, C., Chhatwal, J., Elbasha, E., Conrads-Frank, A., Rochau, U., Sroczynski, G., Urach, C., Bundo, M., Popper, N., & Siebert, U. (2019). PCN446 A Case Study Of Breast Cancer Treatment Demonstrating The Impact Of Time Dependent Transition Probability Adjustments On Comparative Cost Effectiveness. Value in Health, 22, S522–S523. https://doi.org/10.1016/j.jval.2019.09.638

2015

• Towards a Common Description of Interdisciplinary Aspects Relevant for Holistic Energy Analysis of Production Facilities / Heinzl, B., Hafner, I., Smolek, P., Leobner, I., Gourlis, G., Obermair, M., Popper, N., & Kastner, W. (2015). Towards a Common Description of Interdisciplinary Aspects Relevant for Holistic Energy Analysis of Production Facilities. In Workshop der ASIM/GI-Fachgruppen STS/GMMS (p. 2). http://hdl.handle.net/20.500.12708/56400
  Project: 13054 BAMA (2014–2017)

2014

• Interdisziplinäre Optimierung der Energieeffizienz in Fertigungsbetrieben mittels Co-Simulation / Heinzl, B., Kastner, W., Rößler, M., Bleicher, F., Dür, F., Kovacic, I., Leobner, I., & Popper, N. (2014). Interdisziplinäre Optimierung der Energieeffizienz in Fertigungsbetrieben mittels Co-Simulation. In J. Scheible, I. Bausch-Gall, & C. Deatcu (Eds.), ASIM-Workshop der STS/GMMS 2014 (p. 4). ARGESIM Verlag Wien. http://hdl.handle.net/20.500.12708/55864
  Project: INFO (2010–2013)
• A General Concept for Description of Production Plants / Popper, N., Hafner, I., Rössler, M., Preyser, F. J., Heinzl, B., Smolek, P., & Leobner, I. (2014). A General Concept for Description of Production Plants. Simulation Notes Europe SNE, 24(2), 105–114. http://hdl.handle.net/20.500.12708/158043
  Project: 13054 BAMA (2014–2017)

2013

• Interdisciplinary Strategies for Simulation-Based Optimization of Energy Efficiency in Production Facilities / Heinzl, B., Rößler, M., Popper, N., Leobner, I., Ponweiser, K., Kastner, W., Dür, F., Bleicher, F., & Breitenecker, F. (2013). Interdisciplinary Strategies for Simulation-Based Optimization of Energy Efficiency in Production Facilities. In Computer Modelling and Simulation (UKSim) (pp. 304–309). http://hdl.handle.net/20.500.12708/55020
  Project: INFO (2010–2013)

2012

• Object-oriented Multi-domain Modelling of Machine Tools: A Case Study / Heinzl, B., Landsiedl, M., Popper, N., Dimitriou, A.-A., Dür, F., Bleicher, F., Reinisch, C., & Breitenecker, F. (2012). Object-oriented Multi-domain Modelling of Machine Tools: A Case Study. In Proceedings of the European Modeling and Simulation Symposium, 2012 (pp. 471–476). http://hdl.handle.net/20.500.12708/54485
  Project: INFO (2010–2013)