ISDS/Research/Projects

Open Projects

RedUsa - Predictive maintenance for production environments
In the production of aluminum plates, due to non-identified influencing parameters, rejects are caused by non-metallic inclusions in the material. The aim of this project is to create tools for identifying prototype relevant influencing parameters for this committee. The prototype to be created should include data analytics (forecasting model) and visual analytics functions for this purpose. • To achieve the overall objective of reducing the US committee, based on a Data evaluation of existing process and quality data, a suitable classification and a predictive model are created. This predictive model is then used to predict the relationship between defined production parameters and to create product quality. In a Visual Analytics application, the various parameters of the production process are meaningfully presented to the end user.
Staff member
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Tobias Schreck
Univ.-Prof. Dr.rer.nat. M.Sc.
Funding sources
  • Pro2Future GmbH
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
Research areas
Start: 31.12.2017
End: 30.03.2021
ConMon - Predictive Maintenance for Products
The goal of this project is to create a prototype for condition monitoring in test environments: Based on a data evaluation of already existing data, an appropriate classification and a prediction model will be built. This prediction model is then used to classify real-time data and to make predictions (with aquality criterion).
Staff member
Project Manager at the Organizational Unit
Tobias Schreck
Univ.-Prof. Dr.rer.nat. M.Sc.
Stefan Thalmann
Dipl.-Wirt.-Inf. Dr.rer.soc.oec.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • Pro2 Future GmbH, Johannes Kepler Universität Linz
External Partners
  • Pro2 Future GmbH, Johannes Kepler Universität Linz
Research areas
Start: 31.12.2017
End: 30.12.2020
EU - CHIC - Chicory as a multipurpose crop for dietary fibre and medicinal terpenes
The Chicory Innovation Consortium’s (CHIC) twofold objective is to (i) explore new plant breeding techniques (NPBTs) in chicory for the production of production of immunomodulatory inulin and medicinal terpenes - products with clear benefits for consumers - and ii) to co-develop with stakeholders sustainable innovation pathways for NPBTs. For pursuing this goal the project will evaluate in parallel the value of four different NPBTs (tilling, gene editing using CRISPR/Cas9 for genomic insertion and transient expression, and cisgenesis) with respect to their technical and economic potential, health, and environmental risks, and socio-economic impacts. During the project period the regulatory framework in the EU is likely to be clarified resulting in some NPBTs being considered and regulated as genetically modified plants and others which would not be covered by this legislation. In line with the principles of responsible research and innovation (RRI) project activities will involve stakeholders during the entire R&D process and results will be communicated to interested publics involving also activities by artists. Die TU Graz is WP leader for developing and implementing the RRI-type project design, in particular for the stakeholder engagement. On top TU Graz will conduct analyses of policies relevant to and of possible social impacts of the cultivation of GE chicory.
Staff member
Project Manager at the Organizational Unit
Armin Spök
Dr.phil. MSc
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • Plant & Food Research Ltd, PFR
  • VTT - Teknologian Tutkimuskeskus
  • Fundacja Art & Science Synergy Foundation, ASSF
  • Istituto Agrario di San Michele all'Adige, Fondazione Edmund Mach, FEM
  • Wageningen University and Research, Stichting Wageningen Research
  • Université des Sciences et Technologies de Lille, USTL
  • Univerzitet u Beogradu, Institut za biološka istraživanja „Siniša Stanković" , IBISS
  • Wageningen Universiteit
  • Europese Organisatie Voor Wetenschappelijk Plantenonderzoek, E.P.S.O. IVZW, EPSO
  • Instituto de Biologia Experimental e Tecnologica, iBET
  • JOANNEUM RESEARCH Forschungsgesellschaft mbH
  • Julius Kühn-Institut, Bundesforschungsinstitut für Kulturpflanzen, JKI
  • Leibniz-Institut für Pflanzenbiochemie, IPB
Research areas
Start: 31.12.2017
End: 29.06.2022
SUPCODE - Supporting Cognitive Decision Making
To support human decision making, Area 3 defines two objectives: (1) Combine data‐driven approaches with configuration management methods and simulation environments in order to provide a reliable, trustworthy (data) basis for decision making. (2) Provide this objective basis for decision making to humans in such a way that it takes into account their cognitive capabilities (e.g., information filtering in stress situations) as well as the situation/context in which the decision has to be made (e.g., within production process versus design process) in order to ensure timely and optimal decisions. This strategic project fosters these Area objectives by strategic research activities considering the following context: Industry 4.0 is considered as the “fourth industrial revolution” that either fully automatizes the production in the manufacturing industry or optimizes the collaboration of workers and machines. This is only possible when using different helping operators that facilitate the entire product life cycle, such as the decision support assistance systems. The power of the decision support systems lies on providing immediate assistance in situations where human judgment disregards the reactions times. This is considered as highly important particularly in risky and uncertain conditions where making a poor selection might cause catastrophic consequences for humans and the operating environment. What makes these systems cognitive is that they apply methods that simulate the estimation and the thinking process of the humans to choose one option from a set of possibilities (WP2 Definition of decisionmaking methods & computational decision making). In order to enable companies to utilize such assistance systems it is paramount that data collected at the production site and sent to an analytics entity is sufficiently secured. This can be achieved by providing a secure connection (WP3 Secure Data Transmission). Another concern when working with cognitive decision support systems is the transparency. The outputs of the decision‐making processes are often too complex even for the experts, to understand. Yet, this lack of transparency can be a key problem in many applications. In order to tackle this issue, there is a need on tools that can be used for e.g., to explain/explore predictions/decisions made by the applied model(s) (WP4 Visual analytics). - A secure data transmission module will be applied and extended that allows to transmit data from production site to assistive system. -To ensure that end‐user understand why the system made a particular decision, this project further focuses on state‐of‐the‐art visualization tools (2D, 3D) and visual analytics methods that are used, e.g., to explain/explore decisions made by system, the applied model(s) respectively. - The visual analytics tool can further be applied to support scheduling, performance monitoring, and anomaly detection for the manufacturing systems that might help the end‐user in her decision‐making process. - The simulation of scheduling and re‐scheduling after expected (predictive maintenance) and unexpected changes (e.g. down‐time of machines due to failures) allows for a better resiliency of manufacturing processes. The (further) development of algorithms can therefore help in optimizing the design of production systems and schedules for shop floors in cases of stochastic failures.
Staff member
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Tobias Schreck
Univ.-Prof. Dr.rer.nat. M.Sc.
Funding sources
  • Pro2 Future GmbH, Johannes Kepler Universität Linz
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • PROFACTOR GmbH
  • Johannes Kepler Universität Linz, JKU
  • evolaris next level GmbH
Research areas
Start: 31.03.2018
End: 30.03.2021
IDERBLOG - II - Individual DifferEntiated correct writing with Blogs - Individualizing and Implementing
The aim of the project is to bring a holistic view of the areas of "writing texts" and "writing correctly" to the forefront of the writing process, as both areas are mutually dependent. This results in a new perspective on the two fields, which has practically not yet been carried out because the technical possibilities did not exist. In the project, an internet platform will be set up which enables pupils to write their experiences on computers, tablets or other mobile devices and to make them available to the general public via the internet in a kind of digital "class diary" or "class newspaper". The publication on the Internet, which complies with data protection regulations, increases the motivation to write, as the written texts are accessible to a larger audience. Data protection is taken into account by the fact that the class diary can be viewed in public, partially public or only within the class. Writing the individual contributions gives other pupils the opportunity to read the experiences of other pupils. In this way, the project also trains and increases reading skills. By the possibilities of the Internet reader and author can step over the commentary function to the written one into contact with each other and communicate with each other.
Staff member
Project Manager at the Organizational Unit
Martin Ebner
Priv.-Doz. Dipl.-Ing. Dr.techn.
Frank Kappe
Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Landesinstitut für Pädagogik und Medien
  • European Commission - Europäische Kommission, EU
External Partners
  • Landesinstitut für Pädagogik und Medien
  • Pädagogische Hochschule Steiermark
  • Gemeindeschule Raeren
  • Grundschule Saarbrücken-Dellengarten
Research areas
Start: 31.08.2018
End: 30.08.2021
EU - PROVENANCE - Providing Verification Assistance for New Content
PROVENANCE will develop an intermediary-free solution for digital content verification that gives greater control to users of social media and underpins the dynamics of social sharing in values of trust, openness, and fair participation. Specifically, PROVENANCE will use blockchain to record, in a secure and verifiable manner, multimedia content that is uploaded and registered by content creators or identified for registration by the PROVENANCE Social Network Monitor. The PROVENANCE Verification Layer will apply advanced tools for multimedia analytics (semantic uplift, image forensics, cascade analysis) to record any modifications to content assets and to identify similar pieces of content. A personalised Digital Companion will cater to the information needs of end-users. To help consumers navigate content and develop digital literacy competencies, an iconographic Verification Indicator will contextualise individual pieces of content with relevant information including when the content was registered, by whom, and any subsequent transactions. PROVENANCE will be co-created with diverse representatives of civil society across four distinct use-cases in the social media domain (citizen information seekers, citizen prosumers, factual content creators, and creative content creators). However, the findings will be applicable to any area in which social media and verification are important. The scientific and pragmatic insights gained through PROVENANCE will significantly advance the state of the art in intermediary-free solutions for content verification, understanding of information cascades and information sources on social media, the openness of algorithms, and user control over personal data. In so doing, it will lay the foundation for a new federated social network grounded in trust, openness, and fair participation. In addition, it will support the development of an observatory on information veracity and social media best practice under the ICT28 CSA.
Staff member
Project Manager at the Organizational Unit
Dietrich Albert
Em.Univ.-Prof. Dr.rer.nat.
Participant / Staff Member
Christian Gütl
Assoc.Prof. Dipl.-Ing. Dr.techn.
Alexander Nussbaumer
Dipl.-Ing. Dr.techn.
Christina Steiner-Stanitznig
Mag.rer.nat. Dr.rer.nat.
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • The University of Dublin - Trinity College Dublin
  • Ústav teorie informace a automatizace AV ČR, v.v.i., UTIA
  • Fundación Cibervoluntarios, CIBER
  • Dublin City University
Research areas
Start: 30.11.2018
End: 29.11.2021
Online Communities - Evolution of Online Communities
Online knowledge communities form around a vast number of topics, but not all of them thrive and achieve self-sustaining numbers of users and levels of activity. Since these online communities are ubiquitous, large knowledge repositories and up-to-date news sources, it is important to better understand and support activity and growth on these platforms. To that end, I will distill and learn more about key factors that drive and define success and failure of these communities and to devise stochastic dynamical models for their lifecycle stages as a product of the interactions between their members. With this approach, I will be able to partially predict the future evolution of a given online community. Having these newly gained insights, it will be possible to measure and quantify critical differences in dynamics between successful and failing online knowledge communities, thus helping community managers to quantitatively assess the status of their communities and steer them towards self-sustainable activity levels. My backhground in Mathematics, Economics and Computer Science, combined with my preliminary research experience in characterizing activity dynamics of online communities puts me in an unique position to tackle the challenges outlined in this PhD proposal.
Staff member
Konsortialführer/in bzw. Koordinator/in bei Kooperationen mit externen Organisationen
Tiago Filipe Teixeira dos Santos
Dipl.-Ing.
Project Manager at the Organizational Unit
Frank Kappe
Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichische Akademie der Wissenschaften, ÖAW
External Partners
  • University of Southern California, USC
  • Rheinisch-Westfälische Technische Hochschule Aachen, RWTH
Research areas
Start: 28.02.2019
End: 27.02.2022
VISDAT - Visual Analytics for Promoting Digital and Scientific Literacy
The high demand for employees in science, technology and information technologies is often in contrast to the low proportion of young people interested in the relevant school subjects and occupations. The aim of the project is to promote the interest and motivation of pupils at primary and lower secondary level to work with scientific and technical content and to promote computer skills. For this purpose, pupils are enabled to collect, evaluate and interpret environmental and weather data with computer systems as young researchers. The project results are to be incorporated into the education, training and further education of students and teachers at primary and lower secondary level.
Staff member
Project Manager at the Organizational Unit
Christian Gütl
Assoc.Prof. Dipl.-Ing. Dr.techn.
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Participant / Staff Member
Alexander Nussbaumer
Dipl.-Ing. Dr.techn.
Christina Steiner-Stanitznig
Mag.rer.nat. Dr.rer.nat.
Funding sources
  • Amt der Steiermärkischen Landesregierung, Abteilung Gesundheit, Pflege und Wissenschaft, Geschäftsstelle des Zukunftsfonds Steiermark, A8
External Partners
  • Pädagogische Hochschule Steiermark
Research areas
Start: 28.02.2019
End: 27.02.2021
DiSpecs - Distant Spectators: Distant Reading for periodicals of the Enlightenmen
The enlightened Spectator press of the 18th century constitutes an important cultural heritage of the world, affecting the discourse system of the Enlightenment. It complied with the democratic ideal of disseminating cultural and moral issues, techniques and practices within a non-academic audience, popularizing enlightened ideas, such as cosmopolitanism, tolerance, intellectual criticism, self-reflection and social responsibility. DiSpecs aims to analyze the digitized, TEI encoded and semantically enriched texts of The Spectators in the international context (http://gams.uni-graz.at/mws), an ongoing digital edition project which has been running since 2008 (Ertler et al. 2011-2018; Ertler 2018), with quantitative methods of data analysis referred to as distant reading (Moretti 2005) and macroanalysis (Jockers 2013). Thus, the proposed project builds on existing data and investigates them with digital methods in order to open up new perspectives on the material. The main question of DiSpecs is how (and which) quantitative methods (topic modeling, stylometry, meme diffusion, sentiment analysis and community detection) prove useful and efficient for the analysis of a multilingual text corpus from the 18th century, which currently incorporates discourses in six languages (French, Italian, Spanish, English, German and Portuguese) with a total of approximately 4000 individual texts with more than 9 million tokens. In particular, the quantitative analysis of the Spectators aims to enhance and improve the studies on micro-narration regarding the repetition of motifs throughout different journals. Another focus is on the transnational-transfer and development of this literary genre based on the English prototypes The Tatler (1709-1711) and The Spectator (1711-1712 and 1714) founded by Joseph Addison and Sir Richard Steele, while keeping geographical, cultural and temporal specifics under constant consideration.
Staff member
Project Manager at the Organizational Unit
Denis Helic
Assoc.Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichische Akademie der Wissenschaften, ÖAW
External Partners
  • Karl-Franzens-Universität Graz, Zentrum für Informationsmodellierung - Austrian Centre for Digital Humanities
  • Karl-Franzens-Universität Graz, Institut für Romanistik
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
Research areas
Start: 31.05.2019
End: 29.11.2020
ExDRa - Exploratory Data Science over Raw Data
Machine learning (ML) applications based on large data are increasing applied in the enterprise to improve the value chain and gain competitive advantage. In contrast to traditional ML, the objectives are, however, under-specified, allow for different types of analysis, and can leverage a wide variety of heterogeneous, distributed and partially inaccessible data sources. Therefore, the typical data science process in the enterprise is exploratory, that is, data scientists investigate hypotheses, integrate the necessary data, run different analytics, and look for interesting patterns and models. Since the added value is unknown in advance, very little investments are made into the systematic acquisition, integration, and preprocessing of data. This lack of infrastructure results in redundancy of manual steps and inefficient computation. Furthermore, the central consolidation is not always technically or economically desirable or even possible (e.g., sensitive personal data). These scenarios share the necessity of federated execution and dedicated elimination of redundancy. The basic idea of the ExDRa project is an investigation of suitable systems support for this exploratory data science process over heterogeneous and distributed raw data sources, showcased in a demonstrator for practical applications.

In detail, this approach entails the following research aspects:
(1) ad-hoc and federated data integration over raw data,
(2) data organization and reuse of intermediates,
(3) horizontal optimization over the entire data science lifecycle, and
(4) query planning for partially accessible data.

Use cases come from the process industry. In this context, there are large amounts of data, distributed over locations and appliances, but whose consolidation is technically, economically, and legally limited. The overall goal leads to four research goals. First, data integration, data processing and analysis over raw data needs to be enabled via a suitable declarative specification of data source and preprocessing steps, as well as efficient primitives for local and federated computation. In the context of exploratory data science, this requires sampling and incremental maintenance. Second, unnecessary redundancy and inefficiency of repeated computations need to be addressed via dedicated techniques for data organization and reuse. The high communication overhead of federated analysis could further benefit from leveraging compression techniques and the performance-accuracy tradeoff. Third, we aim to improve the understanding of exploratory analysis results and simply future analysis via systematic model management and optimization of experiments. Fourth, federated computation is an essential part of exploratory analysis over raw data. Accordingly, we intend to investigate system architectures, as well as query optimization and processing. In order to provide evidence for practical relevance, all results will be integrated and evaluated as part of a demonstrator software.
Staff member
Konsortialführer/in bzw. Koordinator/in bei Kooperationen mit externen Organisationen
Matthias Böhm
Univ.-Prof. Dipl.-Wirt.-Inf. Dr.-Ing.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Technische Universität Berlin
  • Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI
Research areas
Start: 31.05.2019
End: 30.05.2022
Doctoral Education for Technology-Enhanced Learning
Doctoral Education for Technology-Enhanced Learning (DE-TEL) project will establish and deepen a strategic partnership for doctoral education in Technology-Enhanced Learning (TEL). DE-TEL brings together 9 internationally renowned universities and the European Association of Technology-Enhanced Learning to reflect their expertise in doctoral education into a new internationally validated program in TEL, extended with rich and professionally produced Open Educational Resources. The project grounds the design of the new program in the best practices in TEL doctoral education across Europe as well as institutional and national requirements. DE-TEL will create a new offer in an area of research that finds practical application across Europe as digitisation of education is in an increasing demand to solve multiple challenges. Digitisation requires pedagogical expertise on using and technological expertise in designing technologies for learning, and strategic expertise in policy making and change management. However, stakeholders currently lack combined knowledge from all three perspectives, on how to strategically drive and operationally implement digitalisation of learning and training, envision innovative technologies for learning, and rigorous methods to create evidence for the effectiveness and efficiency of technologies as part of socio-technical interventions. Such expertise is required at all levels and at all types of organisations. There is also a growing, recognised understanding by all relevant stakeholders from EU policy makers to local schools that the potential of technologies with respect to learning is to provide ubiquitous access to learning materials,and an engaging, personalised and scalable learning experience. Doctoral education in TEL aims to develop such expertise in doctoral candidates. It provides knowledge from multiple relevant perspectives and allows taking empirically-based decisions in implementing TEL solutions in practice. The goal of DE-TEL is to bring doctoral education in TEL to a new level with high-quality resources and a new internationally designed program to support better curricular integration and avoid fragmentation of the digitisation agenda in Europe. In order to achieve this goal, the projects objectives are (1) to identify good practices in doctoral education in TEL by conducting a survey of content, topics, teaching methods, and administrative settings, (2) to develop a new program for doctoral education in TEL and OERs available and sustainable via technical infrastructure, (3) to evaluate the new program for doctoral education in TEL in a series of training events for PhD students and teaching staff across Europe and (4) to exchange and spread good practices in doctoral education in TEL across Europe. DE-TEL focuses on producing high-quality educational materials, and therefore applies a common development methodology, consisting of a pre-study, two iterations of development and evaluation, followed by finalisation of the results. This process is supported by management, quality control, as well as extensive Europe-wide dissemination and communication activities. Various participants are considered as the main beneficiaries of the project. Doctoral candidates from participating universities, enrolled TEL programs are direct end-users of the project outputs. However, the project will strongly benefit European universities from the partnership and beyond who currently have or are planning to open doctoral programs in TEL. Instructors and PhD supervisors are also direct beneficiaries of the project, as they will receive an internationally designed state-of-the-art program supplemented with high-quality teaching resources. Eight public events on national and EU levels will be the main activities of dissemination and communication for relevant stakeholders who are essential not only as the target audience, but also as subjects for the pre-study survey, users and co-designers of the program and the materials, multipliers of the knowledge generated in the project, and a source of valuable feedback. Via the European Association of TEL involved as a partner, the project will reach wider audiences across Europe and ensure the long-term availability and sustainability of the project results. DE-TEL impact will be strongest at the EU level, while also providing benefits to society and the economy on local, regional and national levels, along with other Erasmus+ and EU activities. Through intensive cross-border and inter-disciplinary cooperation, the project will trigger processes and produce results that are likely to become self-sustaining and develop further, such as standards of excellence in doctoral education in the field of TEL. The project will have impact on development of transversal skills among doctoral candidates, their supervisors and researchers, with a life-long value in the settings of continuously changing lifelong learning and societal challenges.
Staff member
Contact
Viktoria Pammer-Schindler
Assoc.Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • European Commission - Europäische Kommission, EU
Research areas
Start: 31.08.2019
End: 30.08.2022
EU - ON-MERRIT - Observing and Negating Matthew Effects in Responsible Research and Innovation Transition
ON-MERRIT targets an equitable scientific system that rewards based on merit rather than the “Matthew Effect” of cumulative advantage. Responsible Research and Innovation (RRI), including elements like Open Science and Gender Equality, promises to fundamentally transform scholarship to bring greater transparency and participation to research processes, and increase the impact of outputs. Yet just making processes open will not per se drive re-use or participation unless also accompanied by the capacity (in terms of knowledge, skills, motivation and technological readiness) to do so. Absorptive capacity and ability to capitalize on knowledge resources vary considerably amongst business, researchers and the general public. Those in possession of such capacities are at an advantage, with the effect that RRI’s agenda of inclusivity is put at risk by conditions of “cumulative advantage” (“Matthew Effect”). Recognising this key threat to RRI, ONMERRIT’s transdisciplinary consortium deploys a cutting-edge combination of qualitative (surveys, questionnaires, interviews, focus groups, case-studies) and computational (scientometrics, social network analysis, predictive analytics, text and data mining) methods that use stakeholder participation and co-design to engage researchers, industry, policy-makers and citizens in examining the extent of the Matthew Effect in key RRI elements (Public Engagement, Gender, Open Access/ Open Science and Governance). Selected research questions focus on disciplinary contexts of particular importance for the UN Sustainable Development Goals (Agriculture, Climate, and Health). ON-MERRIT then synthesises this evidence to make evidence-based policy recommendations on how Research Performing and Funding Organisations and others should amend policies, indicators and incentives to address and/or mitigate these effects, thus breaking new ground to broaden the SWAFS knowledge-base and show the way ahead for equitable RRI.
Staff member
Project Manager at the Organizational Unit
Bernhard Wieser
Assoc.Prof. Mag.phil. Dr.phil.
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • Georg-August-Universität Göttingen
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
  • The Open University
  • Universidade do Minho, UMinho
Research areas
Start: 30.09.2019
End: 30.03.2022
DigitalEnergyTwin - Optimised operation and design of industrial energy systems
Industrial energy systems for manufacturing are mainly designed for single supply technologies, not designed for the fluctuation of energy demand and energy supply and thus can only react to a volatile demand and supply (thermal and electric) to a limited extent. From this, the need for the best possible support in optimizing the operation of the industrial energy system (demand and supply), the interaction of different renewable (volatile) and conventional energy sources and the design for industrial energy systems can be derived. The demand for products from the printed circuit board industry is continuously on the rise. Besides the increase of companies in Austria have to face the challenge of frequent change and adaptation to end-user requirements, causing significant changes in the energy demand and supply and by this, energy capacity limits onsite. This will be further increased by digitalisation and in terms of site security the need to increase productivity. The flexibility of the system makes it almost impossible for industry to plan and assess necessary adaptations and investment in the process and supply system and these challenges will increase significantly in the upcoming years. The overall objective of DigitalEnergyTwin is to support the industry with the development of a methodology and software tool to optimize the operation and design of industrial energy systems. The core of the project is the development of a holistic optimization approach, based on (near-) real production data, historical and predictions of the existing system, both the process demand and supply level. By this, industry will be supported for the first time with reliable solutions in terms of fluctuating, volatile and renewable energy supply well designed for efficient process technologies. The methodology of the digital twin will be developed and validated for single use cases and more importantly implemented in the manufacturing industry (PCB industry). For selected processes (energy relevant) and renewable as well as conventional supply technologies also the product quality will be addressed within this approach. Simplification and the development of technical standard solutions will lead to costeffective exploitation in other industrial sectors. Thus, the DigitalEnergyTwin builds on other areas of digitisation that are currently being developed. The use of the digital twin methodology will also make it possible to use the augmented and virtual reality (AR/VR) approach, which enables efficient production and system monitoring as well training and will support the EnergyManager4.0 in the future. By this, a maximum impact and multiplication in other industrial companies and sectors will be achieved and the industry benefits from a reduction of costs and risk of investment decision, which will lead to a significant increase of the implementation of renewable energy technologies as well as technologies for higher energy efficiency in industrial production.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Gerald Schweiger
Mag.phil. Dr.techn. MA MA
Project Manager at the Organizational Unit
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • Klima- und Energiefonds
External Partners
  • AEE - Institut für Nachhaltige Technologien
  • Montanuniversität Leoben, Lehrstuhl für Energieverbundtechnik
  • Fachhochschule Salzburg GmbH
  • Fachhochschule Vorarlberg GmbH
Research areas
Start: 31.10.2019
End: 30.10.2023
ParisBuildings - Transition of the procurement process towards Paris compatible public buildings
In alignment with the Paris Agreement, Austria is committed to development towards a climate neutral society. The ParisBuildings project addresses the implications on buildings in Austria, considering both operational and embodied emissions. Moreover, the project combines environmental with economic assessments and develops Paris compatible public procurement requirements. The derived recommendations are evaluated based on case studies to support Austria’s policymakers.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Alexander Passer
Assoc.Prof. Dipl.-Ing. Dr.techn. MSc
Project Manager at the Organizational Unit
Günter Getzinger
Ass.Prof. Dipl.-Ing. Dr.phil.
Karl Steininger
Ao.Univ.-Prof. Dr.rer.soc.oec.
Participant / Staff Member
Helmuth Kreiner
Dipl.-Ing. Dr.techn.
Marco Scherz
Dipl.-Ing. Dipl.-Ing. BSc
Barbara Truger
BSc MSc
Funding sources
  • Klima- und Energiefonds
External Partners
  • Karl-Franzens-Universität Graz, Wegener Zentrum für Klima und Globalen Wandel
Research areas
Start: 30.11.2019
End: 29.11.2022
Voladigital - Competences for a volatile and digitized business world
SMEs are currently facing major challenges such as increasing uncertainty and volatility. Digitalization and agility bring both opportunities and new skills requirements. Currently, there are few scientifically based, practical training courses that focus on digitization and/or agility. Learning Factories and Makerspaces offer effective hands-on learning environments. The aim of this research project is to create a training concept where participants can flexibly acquire theoretical content on a learning platform and apply this knowledge in a learning factory and a makerspace. For this reason, a survey with Styrian SMEs will be carried out in the first step and on this basis a didactic concept will be developed and tested.
Staff member
Project Manager at the Organizational Unit
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Christian Ramsauer
Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Amt der Steiermärkischen Landesregierung, Abteilung Gesundheit, Pflege und Wissenschaft, Geschäftsstelle des Zukunftsfonds Steiermark, A8
External Partners
  • Pädagogische Hochschule Steiermark
Research areas
Start: 30.04.2020
End: 29.04.2022
EWA - Decision Support for Water Supply System Planning involving Future Change Szenarios
The research project EWA deals with the topic of strategic planning in drinking water supply to cope better with an uncertain future development. In the project, a decision support tool for water supply systems is being developed, which is able to derive robust system extensions or adaptations. Various planning alternatives with regard to security of supply, coverage of water requirements, life cycle costs and resource conservation can be examined in the tool, taking into account changing factors such as socio-demographic and climatic developments. The tool uses playful aspects to support intuitive solution finding. Such an approach is also known as a "serious game". The project also uses big data analyzes using machine learning algorithms to analyze time series data (smart meters, pressure and flow measurements). These are currently being developed in the research project ADAM (Advanced DAta-driven Modeling in water loss management). Long-term use of the web-based tool is ensured, among other things, by involving water supply companies, planning offices, state representatives and municipalities in the development of the tool.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Daniela Fuchs-Hanusch
Assoc.Prof. Dipl.-Ing. Dr.techn.
Project Manager at the Organizational Unit
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Participant / Staff Member
Georg Arbesser-Rastburg
Dipl.-Ing. BSc
Michael Pointl
Dipl.-Ing. BSc
Anika Stelzl
Dipl.-Ing. BSc
Funding sources
  • Amt der Kärntner Landesregierung, Abteilung 12 – Wasserwirtschaft, Unterabteilung Wasserwirtschaftliche Planung und Siedlungswasserwirtschaft
  • Amt der Oberösterreichischen Landesregierung, Direktion Umwelt und Wasserwirtschaft, Abteilung Wasserwirtschaft
  • Amt der Steiermärkischen Landesregierung, Abteilung Wasserwirtschaft, Ressourcen und Nachhaltigkeit, A14
  • Holding Graz - Kommunale Dienstleistungen GmbH, Wasserwirtschaft
  • Kommunalkredit Public Consulting GmbH
  • Amt der Salzburger Landesregierung, Abteilung 7 Wasser
  • eww gruppe, Wasser
  • Bundesministerium für Landwirtschaft, Regionen und Tourismus, BMLRT
  • Wasserverband Grazefeld Südost
External Partners
  • Wasserverband Grazefeld Südost
Research areas
Start: 30.04.2020
End: 29.11.2023
RegioData - Reference model for a collaborative data, information and Knowledge management in a regional and European context
The aim of the project is to develop a collaborative concept for the development of a Styrian RegioData reference model, including first theoretical approaches of a Styrian demonstrator. The planned project is to be implemented in a bottom-up approach together with Styrian clusters and relevant organisations as well as interest groups from the business community in order to promote cooperation between industry and universities. The overall objective is to strengthen the Styrian higher education and economic area and to significant increase in the visibility of Styria at European level in the field of data science.
Staff member
Konsortialführer/in bzw. Koordinator/in bei Kooperationen mit externen Organisationen
Anthony Ross-Hellauer
MA MSc Ph.D.
Project Manager at the Organizational Unit
Ilire Hasani-Mavriqi
Dipl.-Ing. Dr.techn. Bakk.techn.
Funding sources
  • Amt der Steiermärkischen Landesregierung, Abteilung Gesundheit, Pflege und Wissenschaft, Geschäftsstelle des Zukunftsfonds Steiermark, A8
External Partners
  • Medizinische Universität Graz
  • Karl-Franzens-Universität Graz, UNI Graz
  • FH JOANNEUM Gesellschaft mbH
Research areas
Start: 31.08.2020
End: 27.02.2022
Digitale Hochschule - Digitalization opportunities for styrian universities
The project collects the experiences with the emergency digitisation caused by CoViD-19 at the Styrian universities and derives development chances for further digitisation processes. By analysing observed effects of digitisation a reflected knowledge base for the future use of digital technologies in teaching, research and administration can be provided. In this way, the project contributes to the resilience of the Styrian university landscape and ensures its future-oriented contribution to Styria as a business location.
Staff member
Project Manager at the Organizational Unit
Bernhard Wieser
Assoc.Prof. Mag.phil. Dr.phil.
Funding sources
  • Amt der Steiermärkischen Landesregierung, Abteilung Gesundheit, Pflege und Wissenschaft, A8
Research areas
Start: 30.09.2020
End: 29.09.2021
Contact
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