Vita

Frank Hohmann studied Business Administration at the University of Osnabrück, focusing on Business Informatics and Production Management, and graduated as Diplom-Kaufmann in 1994. He then worked as a research associate at the Chair of Information Systems at the University of Osnabrück. 

Since 1999, he has been working for GWS mbH, where he is responsible for the areas of software development and technology. He has been a partner at GWS mbH since 2001. His work includes the development of model systems, graphical user interfaces, and communication platforms, as well as data management techniques. In addition, he works as a consultant for partner organizations in Europe, Asia, and Africa on macroeconomic models. 

Another important part of his work is providing sustainable training in the development and application of Excel-based E3 models using the DIOM-X (Dynamic Input-Output Models in Excel) model-building framework, particularly in Asian and African countries, carried out in cooperation with organizations such as GIZ, ILO, and IRENA. 

Research Interests

Development of model software

Development of graphical user interfaces

Development of tools for data format conversion

Capacity building in model development

Projects of Frank Hohmann

Modeling the Economic Effects of Climate Policy Instruments at the Macroeconomic level – a case study in Chile
Socio-economic impact assessment of adaptation measures in Nepal
CRED II: Extension, update, and capacity building on e3. models in Georgia and Kazakhstan
Policy dialogue and knowledge management on climate protection and adaptation strategies in Mongolia and Uganda
Measuring Social & Employment Impacts of NDC policies using Green Jobs Assessment Model (GJAM) in Tunisia
Measuring Social and Employment Impacts of NDC policies using Green Jobs Assessment Model (GJAM) in Egypt
Policy Dialogue and Knowledge Management on Low Emissions (DIAPOL-CE) – Climate-economy modelling in Algeria and Uganda
Modelling employment effects of climate-fiscal policies, developing a dynamic MRIO price model
Policy advice for climate-resilient economic development
Energy-economy modelling with renewable energy scenarios
Development Planning Training Course (June 3rd to 22nd 2018, Ulan Batar (Mongolei))
Development of analytical tools based on Input-Output table
Development of Sustainable Mining Strategies in Chile with a Regionalized National Model (BMBF FKZ: 01DN16030)
Weiterentwicklung des PANTA-RHEI-Modells
Aktualisierung und Erweiterung des EVA-Modells
Household income project study
Policy Options for a Resource-Efficient Economy (POLFREE)
Globally sustainable material prosperity standards
Development of a Russian economy-environment-emission-model (e3.ru) for simulation and projection
Weiterentwicklung des PANTA-RHEI-Modells
Development and implementation of a model to be used for economic impact assessment of regulatory decisions taken by NERSA (National Energy Regulator of South Africa)
Entwicklung und Bereitstellung des Anwendermodells PANTA RHEI zur Abschätzung der Wirkungen umweltpolitischer Maßnahmen und Instrumente
Differenzierte regionale und überregionale Analysen der nachhaltigen Raum- und Siedlungsentwicklung
Analyse und Modellierung der Energieverbrauchsentwicklung
Development of a macro-econometric forecasting and simulation model

Publications of Frank Hohmann

Großmann, A. & Hohmann, F. (2025): Economy-wide Impacts of Climate Change and Adaptation in Kazakhstan. Assessing the Macroeconomic Impacts of Climate Change and Adaptation in Kazakhstan with the e3.kz Model, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Berlin.
Großmann, A., Hohmann, F. & Dreuw. P. (2025): Economy-Wide Impacts of Climate Change and Adaptation in Mongolia – Updated Country Report. Assessing the Macroeconomic Impacts of Climate Change and Adaptation in Mongolia with the e3.mn Model. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Bonn, Eschborn.
Großmann, A., Hohmann, F., Banning, M. & Dreuw. P. (2023): Macro-Economic Impact Analysis of Energy Transition Scenarios in Uganda. An Economy-Energy-Emissions Model (e3.ug). Final Report, Eschborn, Bonn.
Großmann, A. & Hohmann, F. (2023): Modelling the Macroeconomic Impacts of Renewable Energy Expansion in Uganda. Policy Brief, Quarter 3, 2022/2023, Eschborn, Bonn.
Großmann, A. & Hohmann, F. (2023): Evaluating the Macroeconomic Impacts of Energy Efficiency Improvements in Uganda. Policy Brief, Quarter 3, 2022/2023, Eschborn, Bonn.
Lutz, C., Lehr, U., Banning, M., Becker, L. & Hohmann, F. (2023): E3.dz: An energy-economy model for Algeria. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Berlin.
Großmann, A., Heinisch, K., Lutz, C., Schult, C., Hohmann, F. & Banning, M. (2023): Evidence-Based Support for Adaptation Policies in Emerging Economies. Low Carbon Economy 14, pp. 1–16. DOI: 10.4236/lce.2023.141001.
Großmann, A., Flaute, M., Lutz, C., Hohmann, F. & Banning, M. (2023): Modeling Climate Resilient Economic Development. In: Leal Filho, W., Kovaleva, M., Alves, F. & Abubakar, I. R. (ed.): Climate Change Strategies: Handling the Challenges of Adapting to a Changing Climate. Climate Change Management, Springer, Cham. https://doi.org/10.1007/978-3-031-28728-2_4.
Großmann, A. & Hohmann, F. (2023): Economic Impacts of Climate Change Adaptation. A Subnational View for Kazakhstan, Berlin.
Banning, M., Großmann, A., Heinisch, K., Hohmann, F., Lutz, C. & Schult, C. (2023): Evidence-based Support for Adaptation Policies in Emerging Economies. IWH Studies 2/2023, Halle (Saale).
Großmann, A., Hohmann, F. & Reuschel, S. (2023): Economy-Wide Impacts of Climate Change and Adaptation in Mongolia. Assessing the Macroeconomic Impacts of Climate Change and Adaptation in Mongolia with the E3 Prototype Model. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Bonn, Eschborn.
Großmann, A., Hohmann, F., Lutz, C., Flaute, M., Heinisch, K., Schult, C. & Banning, M. (2023): Lessons Learnt from Piloting Macroeconomic Modelling for Climate Resilience. In Georgia, Kazakhstan and Vietnam. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Berlin.
Großmann, A. & Hohmann, F. (2023): Handbook for the e3 Prototype Model in Mongolia. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Berlin.
Großmann, A. & Hohmann, F. (2022): Macroeconomic Modelling for Climate Policy Planning. Impact Analysis with an Excel-based E3 (Economy-EnergyEmission) Model Building Framework, Bonn.
Flaute, M., Reuschel, S., Lutz, C., Banning, M. & Hohmann, F. (2022): Supporting Climate Resilient Economic Development in Georgia. Application of the e3.ge Model to Analyze the Economy-wide Impacts of Climate Change Adaptation, Berlin.
Großmann, A., Hohmann, F., Lutz, C. & Reuschel, S. (2022): Supporting Climate Resilient Economic Development in Kazakhstan. Application of the e3.kz Model to Analyze the Economy-wide Impacts of Climate Change Adaptation, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Berlin.
Großmann, A. & Hohmann, F. (2021): Kazakhstan: Economy-wide Effects of Adaptation in Infrastructure. Applying the e3.kz Macro-econometric Model to the Cases of Climate Resilient Roads and Buildings. Sectoral Policy Brief, December 2021, Eschborn.
Großmann, A. & Hohmann, F. (2021): Kazakhstan: Economy-wide Effects of Adaptation in the Energy Sector. Applying the e3.kz Macro-econometric Model to the Cases of Underground Powerlines and Mitigation Options. Sectoral Policy Brief, October 2021, Eschborn.
Großmann, A. & Hohmann, F. (2021): Policy advice for climate resilient economic development based on an E3 model built in Excel. Conference paper of the 10th International Congress on Environmental Modelling and Software, Brussels, Belgium.
Großmann, A. & Hohmann, F. (2021): Kazakhstan: Economy-wide Effects of Adaptation in Agriculture. Applying the e3.kz Macro-econometric Model to the Cases of Irrigation Systems and Precision Agriculture. Sectoral Policy Brief, Eschborn.
Großmann, A., Hohmann, F., Mönnig, A. & Schwarz, S. (2020): A regionalized national Input-Output Modell for Chile (COFORCE) – Methodology and Applications. GWS Discussion Paper 2020/3, Osnabrück.
Mönnig, A. & Hohmann, F. (2020): Back to the future. Counterfactual Scenarios – Challenges, Methodology and an Empirical Test. GWS Discussion Paper 2020/1, Osnabrück.
Großmann, A. & Hohmann, F. (2019): Static and Dynamic Input-Output Modelling with Microsoft Excel. SHAIO Conference Paper 2019, Osnabrück.
Großmann, A., Bieritz, L., Hohmann, F. & Mönnig, A. (2019): Evaluation of regional impacts of the copper industry in Chile. SHAIO Conference Paper 2019, Osnabrück.
Großmann, A., Hohmann, F. & Galindev, R. (2018): Development Planning Training-Course. Training Module 2: Macro-Economic Forecasting model for Resource-Rich Economy. A project funded by the European Union (DCI-ASIE/2015/356-018) and implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH , Ulaanbaatar, Osnabrück.
Großmann, A., Hohmann, F. & Ludwig, U. (2017): Development of Analytical Tools based on Input-Output Table. Report. , GIZ-Projekt, Osnabrück, Halle (Saale).
Großmann, A., Hohmann, F. & Ludwig, U. (2017): Development of Analytical Tools based on Input-Output Table. Manual for Practical Training with Microsoft Excel. , GIZ-Projekt, Osnabrück, Halle (Saale).
Großmann, A. & Hohmann, F. (2016): E3.pt – An E3 PortableDyme Model for Portugal. Proceedings, (Vol. 1) of the 8th International Congress on Environmental Modelling and Software for supporting a sustainable future (iEMSs 2016) in Toulouse (France).
Ahlert, G., Hohmann, F., Meyer, M., Lettenmeier, M., Liedtke, C., Steger, S. & (2016): Interactive analysis of individual consumption patterns with regard to raw-material availability: The web tool 'My Raw Material World'. GWS Discussion Paper 2016/2, Osnabrück.
Ahlert, G., Hohmann, F., Meyer, M., Buhl, J., Greiff, K., Lettenmeier, M., Liedtke, C., Schipperges, M., Steger, S. & Teubler, J. (2015): Global nachhaltige materielle Wohlstandsniveaus – Analyse und Veranschaulichung global nachhaltiger materieller Versorgungsgrade auf der Ebene von Haushalten. Umweltbundesamt, Texte 99/2015. Abschlussbericht für FKZ 3711 14 105 , Dessau.
Großmann, A. & Hohmann, F. (2015): PortableDyme – A simplified software package for model building. Proceedings, of the 23rd conference of the International Input Output Association in Mexico City (Mexico).
Beringer, T., Meyer, B., Distelkamp, M. & Hohmann, F. (2014): Report on the linking of GINFORS and LPJmL. , POLFREE Deliverable 3.4, Osnabrück.
Großmann, A., Hohmann, F. & Wiebe, K. S. (2013): PortableDyme – a simplified software package for econometric model building. , In: Bardazzi, Gezzi (Ed.): Macroeconomic modelling for policy analysis. Firenze University Press.
Hohmann, F. (2011): MapView – Providing GIS Functionality for Multi-Regional INFORUM-type Models. In: Mullins, D., Viljoen, J. & Leeuwner H. (Hrsg.) (2011): Interindustry based Analysis of Macroeconomic Forecasting. Conningarth Consulting Economists, pp. 36–52, Pretoria, South Africa.
Drosdowski, T., Großmann, A., Hohmann, F. & Wolter, M. I. (2011): Weiterentwicklung des PANTA RHEI-Modells um ein sozioökonomisches Modul. Endbericht. , Im Auftrag des Umweltbundesamtes. Osnabrück.
Distelkamp, M., Ulrich, P., Hohmann, F., Lutz, C. & Wolter, M. I. (2011): Blick in die Zukunft: Flächeninanspruchnahme bis 2020. Modellgestützte Projektion der Flächeninanspruchnahme in den Kreisen Deutschlands bis zum Jahr 2020. , In: Bock, S., Hinzen, A. & Libbe, J. (Hrsg.): Nachhaltiges Flächenmanagement - Ein Handbuch für die Praxis: Ergebnisse aus der REFINA-Forschung, Berlin, S. 32-38.
Distelkamp, M., Ulrich, P., Hohmann, F., Lutz, C. & Wolter, M. I. (2010): Perspektiven für eine nachhaltige Flächennutzung – Ansätze und (erste) Ergebnisse des regionalisierten umweltökonomischen Modells PANTA RHEI. , In: Frerichs, S. Lieber, M. & Preuß, T. [Hrsg.]: Flächen- und Standortbewertung für ein nachhaltiges Flächenmanagement - Methoden und Konzepte. Beiträge aus der REFINA-Forschung / Reihe REFINA Band V, Berlin, S. 44-55.
Drosdowski, T., Großmann, A., Hohmann, F. & Wolter, M. I. (2010): Zwischenbericht zu einer Studie zum Thema "Weiterentwicklung des PANTA RHEI-Modells". , Im Auftrag des Umweltbundesamtes, Osnabrück.
Distelkamp, M., Lutz, C., Großmann, A., Hohmann, F., Ulrich, P. & Wolter, M. I. (2009): PANTA RHEI REGIO – ein Modellsystem zur Projektion der künftigen Flächeninanspruchnahme in Deutschland und zur Folgenabschätzung fiskalischer Maßnahmen. GWS Discussion Paper 2009/7, Osnabrück.
Ahlert, G., Lutz, C., Meyer, B., Distelkamp, M., Großmann, A., Hohmann, F., Ulrich, P. & Wolter, M. I. (2007): Förderinitiative REFINA: PANTA RHEI REGIO – Modellgrundlagen und Modellkonzeption. GWS Discussion Paper 2007/3, Osnabrück.
Distelkamp, M., Lutz, C., Meyer, B., Hohmann, F. & Wolter, M. I. (2003): Das IAB/INFORGE-Modell: Ein neuer ökonometrischer Ansatz gesamtwirtschaftlicher und länderspezifischer Szenarien. In: Beiträge zur Arbeitsmarkt- und Berufsforschung (BeitrAB), Band 275 , Nürnberg.
Distelkamp, M., Hohmann, F., Meyer, B., Lutz, C. & Wolter, M. I. (2003): PANTA RHEI V: Modelldarstellung und Prognose der CO₂- Emissionen. GWS Discussion Paper 2003/1, Osnabrück.
Hohmann, F. & Vanwynsberghe, D. (2002): Object-oriented database and modelling system. , In: Uno, K. (ed.): Economy-Energy-Environment Simulation, Beyond the Kyoto Protocol, Dordrecht, Boston, London, pp. 33-54.
Distelkamp, M., Hohmann, F., Lutz, C., Wolter, M. I., Nathani, C., Ostertag, K., Schleich, J., Schön, M. & Walz, R. (2001): Innovationen und Luftschadstoffemissionen: Eine gesamtwirtschaftliche Abschätzung des Einflusses unterschiedlicher Rahmenbedingungen bei expliziter Modellierung der Technologiewahl im Industriesektor. , In: Hemmelskamp, J. (Hrsg.): Forschungsinitiative zu Nachhaltigkeit und Innovationen, München, S. 85-89.