Risk Analysishttps://bab.gv.at/index.php2024-03-28T13:18:55+01:00Bundesanstalt für Agrarwirtschaft und Bergbauernfragenwebmaster@bab.gv.atJoomla! - Open Source Content ManagementBAB 069/24: Open Source Data Pipeline & Database for HyDaMS (Hydrographisches Daten Management System)2024-01-04T09:53:20+01:002024-01-04T09:53:20+01:00https://bab.gv.at/index.php?option=com_content&view=article&id=2286:bab-069-24-open-source-data-pipeline-database-for-hydams-hydrographisches-daten-management-system&catid=112&lang=en&Itemid=413Michaela Hager<p>As part of the cooperation between the federal and provincial governments required by the Water Act, a monitoring network is operated to determine the water balance in Austria. This data is collected by the federal states and transferred to the Hydrographic Data Management System (HyDaMS).<br /><br />HyDaMS is a version of the TopoDesk software from Toposoft. This is proprietary software based on the AZUR programming language.<br /><br />In this software, over 300,000 time series with different parameters and time references are stored in a very special format.<br /><br />As part of the INSPIRE Directive (2007; implementation AT: Geodata Infrastructure Act 2010), geodata must be named and made public (metadata) and made available in a harmonized manner (defined common data structure) (data services).<br /><br />In 2019, the old PSI Directive (Public Sector Information) was revised/amended to become the Open Data Directive, which came into force in 2022 as the Federal Information Reuse Act 2022. It contains minimum rules for the reuse of public data and introduces the open-by-default principle: public data should therefore be open (OpenData) in principle, as long as there is nothing definitively against it. In addition, dynamic data (sensors/time series) must be made available via services/API.</p>
<p>The situation was tightened in February 2023 with the publication of the HVD Regulation (High Value Datasets Regulation). The datasets listed there must be made available free of charge (OpenData) via a service/API by June 2024 at the latest.</p>
<h3>Objective</h3>
<p>Modern big data analysis options and dashboards cannot access the time series data within HyDaMS due to the special structure of the data format used to date.<br /><br />In order to enable big data analyses or model calculations, the time series are to be automatically mirrored periodically and monitored in an open source database system via an interface to be developed. This concerns (i) the verified hydrography data, which is to be imported annually at the end of a yearbook, and (ii) the current remotely sensed (and unverified) data from the countries, which is to be imported continuously.<br /><br />A modern database system is also a prerequisite for numerous innovations planned by Division I/3 Water Balance, such as a national water balance model. The provision of data via the WebGIS portal eHYD is also no longer up to date. First, the time series and master data must be exported from HyDaMS as text files and then manually integrated into eHYD. Due to the large amounts of data, there are limitations, so many time series are only offered in aggregated temporal resolution in order to reduce the amount of data. If a database with a modern interface is available, the eHYD could be linked directly to the new database so that a user can access the entire hydrography data set.</p>
<p>The HyDaMS does not have a machine-readable interface (API) and, according to Toposoft, cannot be equipped with one. The present data pipeline and database project between the BML and the BAB is therefore also conditioned by legal requirements (see "Initial situation").</p>
<h3>Main goals</h3>
<ul>
<li>Stable export of data from HyDaMS (master data and time series)</li>
<li>Selection of a suitable open source database system</li>
<li>Development of data pipelines for the import of data from HyDaMS into a selected open source database</li>
<li>Development and operation of a test system</li>
<li>Provision of interfaces to dashboard and state-of-the-art evaluation tools</li>
</ul>
<h3>Planned procedure, implementation</h3>
<ul>
<li>BML Dept. I/3: Viewing and evaluating the existing data (master data and time series) so that only cleansed time series that are useful for further evaluation are processed</li>
<li>BAB: Testing the suitability and comparison of various open source databases with regard to the efficient management of a sensor time series big data test dataset (100 million data entries)</li>
<li>BAB: Implementation of a suitable database schema</li>
<li>BAB / BML Dept. I/2: Development of scripts for the following applications: - Linking the time series from Hydams/Callisto with the master data; - Exporting to arrays with format conversions; - Transfer of data to OpenSource database</li>
</ul>
<ul>
<li>BAB: Ensuring the following functions: - Parallelization; - logging; - monitoring</li>
<li>BAB: Time-controlled execution: - Open source-based workflow management; --Create, manage and monitor workflows; - Map workflows with directed acyclic graphs</li>
<li>BAB: Provision and hosting of a test DBMS</li>
<li>BAB: Export time series data from HyDaMs and Callisto</li>
<li>BAB: Import time series data into the selected test system</li>
<li>BAB / BML Dept. I/3: Data validation</li>
</ul>
<h3> <br />Schedule</h3>
<p>Project start: 01/2024<br />Project end: 12/2025</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p><p>As part of the cooperation between the federal and provincial governments required by the Water Act, a monitoring network is operated to determine the water balance in Austria. This data is collected by the federal states and transferred to the Hydrographic Data Management System (HyDaMS).<br /><br />HyDaMS is a version of the TopoDesk software from Toposoft. This is proprietary software based on the AZUR programming language.<br /><br />In this software, over 300,000 time series with different parameters and time references are stored in a very special format.<br /><br />As part of the INSPIRE Directive (2007; implementation AT: Geodata Infrastructure Act 2010), geodata must be named and made public (metadata) and made available in a harmonized manner (defined common data structure) (data services).<br /><br />In 2019, the old PSI Directive (Public Sector Information) was revised/amended to become the Open Data Directive, which came into force in 2022 as the Federal Information Reuse Act 2022. It contains minimum rules for the reuse of public data and introduces the open-by-default principle: public data should therefore be open (OpenData) in principle, as long as there is nothing definitively against it. In addition, dynamic data (sensors/time series) must be made available via services/API.</p>
<p>The situation was tightened in February 2023 with the publication of the HVD Regulation (High Value Datasets Regulation). The datasets listed there must be made available free of charge (OpenData) via a service/API by June 2024 at the latest.</p>
<h3>Objective</h3>
<p>Modern big data analysis options and dashboards cannot access the time series data within HyDaMS due to the special structure of the data format used to date.<br /><br />In order to enable big data analyses or model calculations, the time series are to be automatically mirrored periodically and monitored in an open source database system via an interface to be developed. This concerns (i) the verified hydrography data, which is to be imported annually at the end of a yearbook, and (ii) the current remotely sensed (and unverified) data from the countries, which is to be imported continuously.<br /><br />A modern database system is also a prerequisite for numerous innovations planned by Division I/3 Water Balance, such as a national water balance model. The provision of data via the WebGIS portal eHYD is also no longer up to date. First, the time series and master data must be exported from HyDaMS as text files and then manually integrated into eHYD. Due to the large amounts of data, there are limitations, so many time series are only offered in aggregated temporal resolution in order to reduce the amount of data. If a database with a modern interface is available, the eHYD could be linked directly to the new database so that a user can access the entire hydrography data set.</p>
<p>The HyDaMS does not have a machine-readable interface (API) and, according to Toposoft, cannot be equipped with one. The present data pipeline and database project between the BML and the BAB is therefore also conditioned by legal requirements (see "Initial situation").</p>
<h3>Main goals</h3>
<ul>
<li>Stable export of data from HyDaMS (master data and time series)</li>
<li>Selection of a suitable open source database system</li>
<li>Development of data pipelines for the import of data from HyDaMS into a selected open source database</li>
<li>Development and operation of a test system</li>
<li>Provision of interfaces to dashboard and state-of-the-art evaluation tools</li>
</ul>
<h3>Planned procedure, implementation</h3>
<ul>
<li>BML Dept. I/3: Viewing and evaluating the existing data (master data and time series) so that only cleansed time series that are useful for further evaluation are processed</li>
<li>BAB: Testing the suitability and comparison of various open source databases with regard to the efficient management of a sensor time series big data test dataset (100 million data entries)</li>
<li>BAB: Implementation of a suitable database schema</li>
<li>BAB / BML Dept. I/2: Development of scripts for the following applications: - Linking the time series from Hydams/Callisto with the master data; - Exporting to arrays with format conversions; - Transfer of data to OpenSource database</li>
</ul>
<ul>
<li>BAB: Ensuring the following functions: - Parallelization; - logging; - monitoring</li>
<li>BAB: Time-controlled execution: - Open source-based workflow management; --Create, manage and monitor workflows; - Map workflows with directed acyclic graphs</li>
<li>BAB: Provision and hosting of a test DBMS</li>
<li>BAB: Export time series data from HyDaMs and Callisto</li>
<li>BAB: Import time series data into the selected test system</li>
<li>BAB / BML Dept. I/3: Data validation</li>
</ul>
<h3> <br />Schedule</h3>
<p>Project start: 01/2024<br />Project end: 12/2025</p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>BAB 031/19: Reports on and simulation of revenues and costs subject to changes in prices and quantities2019-05-01T16:39:22+02:002019-05-01T16:39:22+02:00https://bab.gv.at/index.php?option=com_content&view=article&id=256:bab-031-19-reports-on-and-simulation-of-revenues-and-costs-subject-to-changes-in-prices-and-quantities&catid=112&lang=en&Itemid=413Michaela Hager<h3>Initial situation</h3>
<p>In Austria there are currently market-based solutions (options, futures, other derivatives) for stabilising the producer prices of certain agricultural products. However, there are no market-based (e.g. insurance) or tax-based instruments to stabilise total agricultural income. Relevant information and data on agricultural markets are sometimes not available to farm managers, or are only available with difficulty or from different providers; this in turn increases their workload in the course of independent income stabilisation activities.</p>
<h3>Objective</h3>
<p>To provide digital information on developments in the agricultural sector in a collected, compact and user-friendly form in order to support farm managers in their individual income stabilisation measures. Such digital information offers can be price reports including price forecasts, an information platform or an application for the simulation of income/contribution margin fluctuations due to price and quantity fluctuations.</p>
<h3>Initial situation</h3>
<p>In Austria there are currently market-based solutions (options, futures, other derivatives) for stabilising the producer prices of certain agricultural products. However, there are no market-based (e.g. insurance) or tax-based instruments to stabilise total agricultural income. Relevant information and data on agricultural markets are sometimes not available to farm managers, or are only available with difficulty or from different providers; this in turn increases their workload in the course of independent income stabilisation activities.</p>
<h3>Objective</h3>
<p>To provide digital information on developments in the agricultural sector in a collected, compact and user-friendly form in order to support farm managers in their individual income stabilisation measures. Such digital information offers can be price reports including price forecasts, an information platform or an application for the simulation of income/contribution margin fluctuations due to price and quantity fluctuations.</p>
AWI 180/17: Options for stabilising income of agricultural holdings2017-04-03T12:00:28+02:002017-04-03T12:00:28+02:00https://bab.gv.at/index.php?option=com_content&view=article&id=232:awi-180-17-options-for-stabilising-income-of-agricultural-holdings&catid=112&lang=en&Itemid=413Michaela Hager<h3>Initial situation</h3>
<p>The income of a farm fluctuates because the components of income (volumes, prices, agricultural payments, etc.) also fluctuate. Various influencing factors are cited in the literature as causes of price volatility in procurement and sales markets, including changes in supply and demand, environmental conditions (e.g. weather extremes resulting in crop failures), changes in trade policy (e.g. trade restrictions) or macroeconomic factors (e.g. global money supply). Uncertainty (i.e. risk) regarding the future price level and its development arises due to the multitude of influencing factors and their interplay. Unfavourable price developments can cause a sharp drop in income at the individual farm level and subsequently endanger the existence of the farm. In the EU, various possibilities exist in the CAP period 2014-2020 to reduce income risks (e.g. risk management instruments according to Article 39 of Regulation (EU) 1305/2013). Other economies (e.g. USA, Canada) have been applying income stabilisation instruments in agriculture for a long time.</p>
<h3>Objective</h3>
<p>The aim of the project is to analyse possibilities for income stabilisation in Austrian agriculture. The analysis should include different sources of information (e.g. Austrian and international literature, data sets). Concrete problems are to be addressed with the help of different methods (e.g. workshops, surveys, model calculations). Core questions were: Does the participant pay in more for price protection than he/she receives in payouts? What is the need for public funds with a premium subsidy of 55%? Does the price protection have an income-stabilising effect?</p>
<h3>Project procedure</h3>
<p>In 2017, an initial literature review was conducted on the topic. In addition, a possible concept of an index-based income insurance was discussed and presented in cooperation with WIFO (Franz Sinabell, Thomas Url) (AES Annual Conference 2017, Dublin; WIFO Working Paper, No. 536/2017).</p>
<p>Within the framework of the project AWI/180/17, the Federal Institute of Agricultural Economics and Mining Research (BAB) participated in the project "Development of instruments for income stabilisation for milk and wheat producing farms in Austria" commissioned by the Lower Austrian Chamber of Agriculture from 2018 to 2021. Based on comprehensive research and evaluation of established solutions, a needs analysis was carried out through interviews with experts from business, science and interest groups in order to create a meaningful basis for model development. From the needs analysis it could be derived that there is a high interest in an affordable, flexible and effective instrument against price fluctuations. Based on these findings, different price hedging variants were defined and their influence on the stabilisation of agricultural income was analysed. The analyses were carried out separately for milk (cow's milk: conventional, organic) and selected arable crops (wheat, grain maize and rape: conventional) at the individual farm level and the extrapolated level for Austria. The work of the BAB included in particular:</p>
<ul>
<li>the organisation and implementation of two workshops in which the participants (a sample consisting of working group farm managers) were surveyed regarding their interest in price hedging and their requirements for price hedging (work package 2.3);</li>
<li>the provision of a data set that was used as an example to develop the price hedging models studied (work package 2.5);</li>
<li>an analysis of micro- and macroeconomic effects of the insurance model developed in this project (work package 2.6);</li>
<li>the dissemination of the results (work package 2.7).</li>
</ul>
<p>The project was completed in 2020 and selected results were published in 2020 and 2021.</p>
<h3>Project results</h3>
<p>The present work deals in particular with the hedging of the producer price of milk and cash crops (wheat, maize, rapeseed).</p>
<p>Extrapolated to Austria, the need for subsidies amounts to 33.4 million euros per year. In a comparison "with/without price hedging", price hedging reduces the fluctuations in income from agriculture and forestry for about 84% of all dairy farms, and in the case of specialised farms for almost 90% of the farms.</p>
<p>For cash crop farms (>50 t annual sales volumes of wheat, grain maize, rape), the calculations show a positive balance of payments and subsidised premiums (55% premium subsidies) of 1,089 euros per farm and year for the observation period 2008 to 2018. The extrapolated subsidy requirement for Austria is 22.1 million euros per year. For about 58% of the extrapolated farms, the fluctuations in income from agriculture and forestry decrease.</p>
<p>Under the assumptions made and due to the degree of specialisation, price hedging has a stronger income stabilising effect on dairy farms than on arable farms. It should be noted that the results are highly dependent on model and data specifications and the observation period.</p>
<p>Selected project results were published in 2020 and 2021.</p>
<p>Grüneis H., Heinschink K., Hambrusch J., Tribl C., Haslinger M., Url T., Scharner M., Sinabell F., Steinkellner M. (2020): Ergebnisbericht zum Projekt "Entwicklung von Instrumenten zur Einkommensstabilisierung für Milch und Weizen produzierende Betriebe in Österreich". Status: 29.10.2020. Vienna. URL: <a href="https://dafne.at/content/report_release/24da91df-b255-4a68-9b4a-e2914ac39dbb_0.pdf">https://dafne.at/content/report_release/24da91df-b255-4a68-9b4a-e2914ac39dbb_0.pdf</a> (abgefragt: 10.01.2022).</p>
<p>Heinschink K., Hambrusch J., Tribl C., Grüneis H., Scharner M. (2020): Auswirkungen einer Preisabsicherung auf die Einkommen landwirtschaftlicher Betriebe. Short paper in the proceedings 2020, pp. 53-54. 30th Annual Meeting of the Austrian Society for Agricultural Economics, 17.09.2020, online. URL: <a href="https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/OEGA_Tagungsband_2020.pdf">https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/OEGA_Tagungsband_2020.pdf</a> (retrieved: 02.02.2022).</p>
<p style="text-align: left;">Hambrusch J., Heinschink K., Tribl C., Grüneis H. (2020): Effects of price hedging on farm incomes: Selected results for dairy farms. Paper presented at the 30th Annual Meeting of the Austrian Society for Agricultural Economics, 17.09.2020, online.</p>
<p>Hambrusch J., Heinschink K., Tribl C., Scharner, M. (2021): Analyse eines Instruments zur Absicherung des Erzeugermilchpreises - Simulationsergebnisse für Milchbetriebe in Österreich (Analysis of an instrument for milk price hedging - simulation results for Austrian dairy farms). Austrian Journal of AGricultural Economics and Rural Studies (AJARS), Vol. 30, pp. 35-43. DOI 10.15203/OEGA_30.6 URL: <a href="https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/AJARS30/09_Hambrusch_et_al_DOI30_6.pdf">https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/AJARS30/09_Hambrusch_et_al_DOI30_6.pdf</a> (retrieved: 10.01.2022).<br /><br />BMLRT - Federal Ministry of Agriculture, Regions and Tourism (s.a.): "MARGIN-RISK". Project entry in the Database for Research on Sustainable Development (DaFNE). URL: <a href="https://dafne.at/projekte/margin-risk">https://dafne.at/projekte/margin-risk</a> (retrieved: 10.01.2022).</p>
<h3>Timetable</h3>
<p>Project start: April 2017<br /><br />Project end: June 2021<br /><br /><br />Project page: https://dafne.at/projekte/margin-risk</p>
<p> </p>
<h3>Initial situation</h3>
<p>The income of a farm fluctuates because the components of income (volumes, prices, agricultural payments, etc.) also fluctuate. Various influencing factors are cited in the literature as causes of price volatility in procurement and sales markets, including changes in supply and demand, environmental conditions (e.g. weather extremes resulting in crop failures), changes in trade policy (e.g. trade restrictions) or macroeconomic factors (e.g. global money supply). Uncertainty (i.e. risk) regarding the future price level and its development arises due to the multitude of influencing factors and their interplay. Unfavourable price developments can cause a sharp drop in income at the individual farm level and subsequently endanger the existence of the farm. In the EU, various possibilities exist in the CAP period 2014-2020 to reduce income risks (e.g. risk management instruments according to Article 39 of Regulation (EU) 1305/2013). Other economies (e.g. USA, Canada) have been applying income stabilisation instruments in agriculture for a long time.</p>
<h3>Objective</h3>
<p>The aim of the project is to analyse possibilities for income stabilisation in Austrian agriculture. The analysis should include different sources of information (e.g. Austrian and international literature, data sets). Concrete problems are to be addressed with the help of different methods (e.g. workshops, surveys, model calculations). Core questions were: Does the participant pay in more for price protection than he/she receives in payouts? What is the need for public funds with a premium subsidy of 55%? Does the price protection have an income-stabilising effect?</p>
<h3>Project procedure</h3>
<p>In 2017, an initial literature review was conducted on the topic. In addition, a possible concept of an index-based income insurance was discussed and presented in cooperation with WIFO (Franz Sinabell, Thomas Url) (AES Annual Conference 2017, Dublin; WIFO Working Paper, No. 536/2017).</p>
<p>Within the framework of the project AWI/180/17, the Federal Institute of Agricultural Economics and Mining Research (BAB) participated in the project "Development of instruments for income stabilisation for milk and wheat producing farms in Austria" commissioned by the Lower Austrian Chamber of Agriculture from 2018 to 2021. Based on comprehensive research and evaluation of established solutions, a needs analysis was carried out through interviews with experts from business, science and interest groups in order to create a meaningful basis for model development. From the needs analysis it could be derived that there is a high interest in an affordable, flexible and effective instrument against price fluctuations. Based on these findings, different price hedging variants were defined and their influence on the stabilisation of agricultural income was analysed. The analyses were carried out separately for milk (cow's milk: conventional, organic) and selected arable crops (wheat, grain maize and rape: conventional) at the individual farm level and the extrapolated level for Austria. The work of the BAB included in particular:</p>
<ul>
<li>the organisation and implementation of two workshops in which the participants (a sample consisting of working group farm managers) were surveyed regarding their interest in price hedging and their requirements for price hedging (work package 2.3);</li>
<li>the provision of a data set that was used as an example to develop the price hedging models studied (work package 2.5);</li>
<li>an analysis of micro- and macroeconomic effects of the insurance model developed in this project (work package 2.6);</li>
<li>the dissemination of the results (work package 2.7).</li>
</ul>
<p>The project was completed in 2020 and selected results were published in 2020 and 2021.</p>
<h3>Project results</h3>
<p>The present work deals in particular with the hedging of the producer price of milk and cash crops (wheat, maize, rapeseed).</p>
<p>Extrapolated to Austria, the need for subsidies amounts to 33.4 million euros per year. In a comparison "with/without price hedging", price hedging reduces the fluctuations in income from agriculture and forestry for about 84% of all dairy farms, and in the case of specialised farms for almost 90% of the farms.</p>
<p>For cash crop farms (>50 t annual sales volumes of wheat, grain maize, rape), the calculations show a positive balance of payments and subsidised premiums (55% premium subsidies) of 1,089 euros per farm and year for the observation period 2008 to 2018. The extrapolated subsidy requirement for Austria is 22.1 million euros per year. For about 58% of the extrapolated farms, the fluctuations in income from agriculture and forestry decrease.</p>
<p>Under the assumptions made and due to the degree of specialisation, price hedging has a stronger income stabilising effect on dairy farms than on arable farms. It should be noted that the results are highly dependent on model and data specifications and the observation period.</p>
<p>Selected project results were published in 2020 and 2021.</p>
<p>Grüneis H., Heinschink K., Hambrusch J., Tribl C., Haslinger M., Url T., Scharner M., Sinabell F., Steinkellner M. (2020): Ergebnisbericht zum Projekt "Entwicklung von Instrumenten zur Einkommensstabilisierung für Milch und Weizen produzierende Betriebe in Österreich". Status: 29.10.2020. Vienna. URL: <a href="https://dafne.at/content/report_release/24da91df-b255-4a68-9b4a-e2914ac39dbb_0.pdf">https://dafne.at/content/report_release/24da91df-b255-4a68-9b4a-e2914ac39dbb_0.pdf</a> (abgefragt: 10.01.2022).</p>
<p>Heinschink K., Hambrusch J., Tribl C., Grüneis H., Scharner M. (2020): Auswirkungen einer Preisabsicherung auf die Einkommen landwirtschaftlicher Betriebe. Short paper in the proceedings 2020, pp. 53-54. 30th Annual Meeting of the Austrian Society for Agricultural Economics, 17.09.2020, online. URL: <a href="https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/OEGA_Tagungsband_2020.pdf">https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/OEGA_Tagungsband_2020.pdf</a> (retrieved: 02.02.2022).</p>
<p style="text-align: left;">Hambrusch J., Heinschink K., Tribl C., Grüneis H. (2020): Effects of price hedging on farm incomes: Selected results for dairy farms. Paper presented at the 30th Annual Meeting of the Austrian Society for Agricultural Economics, 17.09.2020, online.</p>
<p>Hambrusch J., Heinschink K., Tribl C., Scharner, M. (2021): Analyse eines Instruments zur Absicherung des Erzeugermilchpreises - Simulationsergebnisse für Milchbetriebe in Österreich (Analysis of an instrument for milk price hedging - simulation results for Austrian dairy farms). Austrian Journal of AGricultural Economics and Rural Studies (AJARS), Vol. 30, pp. 35-43. DOI 10.15203/OEGA_30.6 URL: <a href="https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/AJARS30/09_Hambrusch_et_al_DOI30_6.pdf">https://oega.boku.ac.at/fileadmin/user_upload/Tagung/2020/AJARS30/09_Hambrusch_et_al_DOI30_6.pdf</a> (retrieved: 10.01.2022).<br /><br />BMLRT - Federal Ministry of Agriculture, Regions and Tourism (s.a.): "MARGIN-RISK". Project entry in the Database for Research on Sustainable Development (DaFNE). URL: <a href="https://dafne.at/projekte/margin-risk">https://dafne.at/projekte/margin-risk</a> (retrieved: 10.01.2022).</p>
<h3>Timetable</h3>
<p>Project start: April 2017<br /><br />Project end: June 2021<br /><br /><br />Project page: https://dafne.at/projekte/margin-risk</p>
<p> </p>
HAMBRUSCH, Josef2001-12-04T01:00:00+01:002001-12-04T01:00:00+01:00https://bab.gv.at/index.php?option=com_contact&view=contact&id=55:hambrusch-josef&catid=116&lang=en&Itemid=512Michaela HagerDietrichgasse 27Dietrichgasse 27TRIBL, Christoph2001-12-04T01:00:00+01:002001-12-04T01:00:00+01:00https://bab.gv.at/index.php?option=com_contact&view=contact&id=87:tribl-christoph&catid=115&lang=en&Itemid=512Michaela HagerDietrichgasse 27Dietrichgasse 27