ISDS/Research/Projects

Open Projects

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
  • 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
  • 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
Research areas
Start: 31.12.2017
End: 30.12.2022
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.
Alexander Nussbaumer
Dipl.-Ing. Dr.techn.
Participant / Staff Member
Christian Gütl
Assoc.Prof. Dipl.-Ing. Dr.techn.
Christina Steiner
Mag.rer.nat. Dr.rer.nat.
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • The University of Dublin - Trinity College Dublin
  • Dublin City University
  • Fundación Cibervoluntarios, CIBER
  • Ústav teorie informace a automatizace AV ČR, v.v.i., UTIA
Research areas
Start: 30.11.2018
End: 30.05.2022
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
Urinary incontinence (UI) is a worldwide problem. Around 30% of women and 10% of men are affected with increasing prevalence at elevated ages. According to Statistik Austria (2016), 5.9% of all Austrians deal with UI. The Österreichische Interdisziplinäre Hochaltrigenstudie revealed that more than one third of the persons surveyed suffered from this chronical disease. Again, the disease was more pronounced in women than men (i.e., 40.5 vs. 25.4%). Stress incontinence is the most common type of UI. It is a result of weakening of the pelvic floor muscles and/or the urethral sphincter and occurs at certain activities, such as laughing or coughing. Women are often affected after pregnancy, vaginal birth or during menopause. Often, men are concerned after prostatectomy. Depending on the severity of the disease, several treatment options are available; i) non-surgical, conservative methods (e.g., pelvic floor exercises), ii) medical treatment, and iii) surgical treatment (e.g., implantation of an artificial urethral sphincter, AUS). Additionally, women have the opportunity to use pessaries that alter the position of the bladder and/or the urethra. Advantageously, pessaries do not need any surgical treatment and can be self-inserted and removed by the patient. However, pessaries are only available in a limited number of size and shape. Thus, they are not applicable to every woman depending on the anatomy, the state of health, and patient acceptability. The application of such mechanically stabilizing systems might also be possible in male patients. Although a surgical management is inevitable, these systems are not associated with drawbacks often observed after AUS implantation (i.e., urethral erosion and atrophy). Consequently, there is a need to broaden the complexity of pessaries - which are currently very simple systems - to make them available to a larger, inhomogeneous patient group. The manufacturing of products with complex structures frequently involves multiple complex processes. 3D printing is a technology that enables the specific production of a 3-dimensional structure in a single process step. Moreover, it allows for the fast and efficient product adaptation following the individual patients requirements. During this project a commercially available 3D printing system is used to manufacture different geometries with the aim to evaluate the systems limitations. In addition to siliastic polymers, which are currently the golden standard to fabricate pessaries, various polymeric carrier materials are tested. Additionally, several functional additives are incorporated to broaden the spectrum regarding size, shape and mechanical characteristics. Importantly, the feasibility to (partially) integrate drugs that were shown to aid UI treatment (e.g., estrogens) is investigated. Thereby, these systems do not only provide mechanically stabilizing effects but also provide tailored drug release. Based on the gathered knowledge, the 3D printing system is adapted and eventually, a concept of an optimized 3D printing system and the corresponding process is elaborated. This builds the basis for the fast and efficient manufacturing of innovative pessaries that are adapted to the individual patients needs. These innovative pessaries do not only adapt the position of the bladder and/or the urethra, but also provide the possibility of simultaneous medical treatment.
Staff member
Contact
Christine Wächter
Ao.Univ.-Prof. Dr.phil.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Research Center Pharmaceutical Engineering GmbH, RCPE
Research areas
Start: 30.06.2019
End: 29.06.2022
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
External Partners
  • Open Universiteit Nederland, OU
  • Rheinisch-Westfälische Technische Hochschule Aachen, RWTH
  • Tallinna Ülikool
  • Universitat Pompeu Fabra
  • EATEL - European Association of Technology Enhanced Learning
  • Universidade de Aveiro
  • Cyprus University of Technology, CUT
  • University of Macedonia, UOM
  • Norges teknisk-naturvitenskapelige universitet, NTNU
Research areas
Start: 31.08.2019
End: 30.08.2022
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
Project Manager at the Organizational Unit
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Gerald Schweiger
Mag.phil. Dr.techn. MA MA
Funding sources
  • Klima- und Energiefonds
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Montanuniversität Leoben, Lehrstuhl für Energieverbundtechnik
  • Fachhochschule Vorarlberg GmbH
  • Fachhochschule Salzburg GmbH
  • AEE - Institut für Nachhaltige Technologien
Research areas
Start: 31.10.2019
End: 30.10.2023
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 bei Kooperationen mit externen Organisationen
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
The research objective of this project is to increase the understanding of engine knocking and find novel methods to develop ultra-fast knock detection algorithms that are able to detect knocking in real time. Moreover, a step towards predictive knock control is taken, where the algorithm tries to predict knocking and takes measures to adjust the ignition conditions in the combustion cycle even before knocking occurs. Since the common physics-based models are already comparatively well developed and have undergone extensive investigations in the past, the novel methods aimed at in this project will primarily leverage data analytics and machine learning used for pattern recognition. In combination with the classic physical methods in hybrid approaches, they have the potential to improve knock prediction.
Staff member
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Andreas Wimmer
Ao.Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • LEC GmbH
External Partners
  • LEC GmbH
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
Research areas
Start: 31.12.2019
End: 30.12.2023
Modern, data-driven AI is highly complex, the path from the data to the analysis result is difficult to understand and difficult to verify, and their application requires expert know-how that is not available at every company. Another factor is that the confidentiality of the data prevents company partners from sharing analysis results with one another. The goal of the module is to start at all of these points and to develop a secure, verifiable and explainable AI and to create a curriculum for users of this AI that aims to create an understanding for the handling of and the boundaries of AI. The module thus incorporates all stages of the data processing chain, from the data source to be verified and cryptographical procedures to the secure data processing and the user of the AI.
Staff member
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Christian Rechberger
Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Universiteit Twente
  • Universität Passau
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
Research areas
Start: 31.12.2019
End: 30.12.2023
The research objective of this project is to find novel methods to overcome these challenges and provide deeper understanding of cycle-to-cycle variations and knocking. Since physicsbased models have undergone extensive investigations in the past and have proven deficiencies in predictive ability, the novel methods that are the objectives of this project will primarily comprise data-driven approaches or similar methods from data science. These approaches should bring improvements when applied in combination with the physics-based approaches.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Andreas Wimmer
Ao.Univ.-Prof. Dipl.-Ing. Dr.techn.
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • LEC GmbH
External Partners
  • LEC GmbH
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
Research areas
Start: 31.03.2020
End: 30.12.2023
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
  • Bundesministerium für Landwirtschaft, Regionen und Tourismus, BMLRT
  • eww gruppe, Wasser
  • Holding Graz - Kommunale Dienstleistungen GmbH, Wasserwirtschaft
  • Amt der Steiermärkischen Landesregierung, Abteilung Wasserwirtschaft, Ressourcen und Nachhaltigkeit, A14
  • Amt der Salzburger Landesregierung, Abteilung 7 Wasser
  • Wasserverband Grazefeld Südost
  • Kommunalkredit Public Consulting GmbH
  • Amt der Kärntner Landesregierung, Abteilung 12 – Wasserwirtschaft, Unterabteilung Wasserwirtschaftliche Planung und Siedlungswasserwirtschaft
  • Amt der Oberösterreichischen Landesregierung, Direktion Umwelt und Wasserwirtschaft, Abteilung Wasserwirtschaft
External Partners
  • Wasserverband Grazefeld Südost
Research areas
Start: 30.04.2020
End: 29.11.2023
Within the EuroCC project under the European Union’s Horizon 2020, participating countries are tasked with establishing a single National Competence Centre (NCC) in the area of high-performance computing (HPC) in their respective countries. These NCCs will coordinate activities in all HPC-related fields at the national level and serve as a contact point for customers from industry, science, (future) HPC experts, and the general public alike.
Staff member
Project Manager at the Organizational Unit
Sarah Stryeck
BSc MSc PhD
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • ARNES - Akademska in raziskovalna mreža Slovenije
  • SURFsara BV
  • TERATEC
  • CENAERO - Centre de Recherche en Aeronautique
  • Centro Nacional de Supercomputación, BSC
  • Centrum spoločných činností Slovenskej akadémie vied, CCSAS
  • FCT - Fundação para a Ciência e a Tecnologia
  • IICT - Institute of Information and Communication Technologies
  • Institutul Naţional de Cercetare-Dezvoltare în Informatică, ICI
  • NORCE - Norwegian Research Centre AS
  • SINTEF
  • The Cyprus Institute, Athalassa Campus
  • Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
  • Kormányzati Informatikai Fejlesztési Ügynökség, KIFÜ
  • CINECA - Consorzio Interuniversitario
  • Gauss Centre for Supercomputing (GCS) e.V.
  • Universität Stuttgart
  • Danmarks Tekniske Universitet
  • Eidgenössische Technische Hochschule Zürich, ETH
  • Háskóli Íslands
  • Leopold-Franzens-Universität Innsbruck
  • National University of Ireland
  • Rīgas Tehniskās universitātes, RTU
  • SRCE - Sveučilište u Zagrebu Sveučilišni računski centar
  • Ss. Cyril and Methodius University
  • Tartu Ülikool
  • Technická univerzita Ostrava, Vysoká škola báňská
  • Universität Wien
  • University of Edinburgh
  • Univerzitet Donja Gorica
  • Uppsala Universitet
  • Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, AGH
  • Vilniaus universitetas
Research areas
Start: 31.08.2020
End: 29.08.2022
The objectives of the COGSTEPS project are positive change in startup perception from the academic and scientific communities, starting more university startups and spin-off companies, development of an entrepreneurial mindset, transferable and transversal skills by many students, researchers, professors and scientists, forming a regional hub for innovation, research and science commercialization, and academic startups between project partners and crossing the gap between academic and startup worlds.
Staff member
Project Manager at the Organizational Unit
Tomislav Duricic
mag. ing. comp.
Funding sources
  • Sveučilište u Zagrebu
  • European Commission - Europäische Kommission, EU
External Partners
  • Zagrebački inovacijski centar d.o.o., ZICER
  • Ljubljanski univerzitetni inkubator d.o.o., LUI
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
  • Univerza v Ljubljani
  • Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva
Research areas
Start: 31.08.2020
End: 30.07.2023
OPTIMA aims at improving the quality of higher education in Ukraine by increasing the level of academic integrity through bringing open practices and transparency to relevant content and services, as well as through modernisation and internationalization of Ukrainian HEIs. OPTIMA will introduce open practices as a quality assurance (QA) process and IT solutions and international virtual community as a quality assurance mechanism. The system of higher education (HE) in Ukraine is characterized by serious deficiencies, such as inefficient quality assurance (QA) and low levels of internationalization, which negatively affect educational attainment and reduce the country’s general potential. At the same time, another acute problem currently facing the country’s HE system is caused by the military conflict in eastern Ukraine. In 2014 the concept of “displaced higher education institutions” emerged as since the beginning of hostilities in the Donbass region, 18 higher education institutions (HEIs) have been moved from the temporarily ceased territories. The displaced HEIs managed to resume the educational process and now continue to educate over 40,000 students and employ about 3,500 academic staff. However, despite numerous achievements, problems of quality and integrity remain in the Ukrainian education system, harming society and economy. Misconduct in HE, when students do not properly represent their acquired knowledge because of cheating, plagiarism and ghostwriting, is one of the main problems of the Ukrainian education system. There is, then, a need for development and implementation of innovative QA mechanisms built on academic integrity culture. Transparency is at the core of Open Science (OS) which has gained increasing EU-level recognition and popularity in recent years. OS is not an end but a means to support better quality science, increased international collaboration and integrity. These goals are highly relevant to Ukrainian HEIs and can be effectively applied in the wider academic context through fostering research integrity culture and practices among academic staff, students and administrators in order to improve education quality. We conclude that the “OS vacuum” should be treated not as a failure, but as an opportunity to use the constantly improving European OS best practices to improve the situation in Ukraine. So, the proposed strategy is the introduction of more open and transparent practices leading to increased academic integrity leading to improved education quality. Introducing Open Peer Review (OPR) has the biggest potential in Ukraine as it brings transparency to the already familiar practice of academic evaluation and provides hands-on learning opportunities for early career researchers, helping to build new skills under collective mentorship of international experts. Hence, OPTIMA will develop and implement an online OPR platform for academic conferences and build an international virtual community of peer reviewers and researchers on the base of it. Combined with general and subject-specific OS subjects to be introduced in the partner HEIs for Master students and PhD candidates as well as a general open online course, OPTIMA’s OPR platform is intended to give our target universities (and Ukrainian HE system in general) a much needed impetus for change towards openness and integrity.
Staff member
Project Manager at the Organizational Unit
Stefan Reichmann
Mag.phil. BA MA
Anthony Ross-Hellauer
MA MSc Ph.D.
Funding sources
  • European Commission - Europäische Kommission, EU
  • Lviv Polytechnic National University, LPNU
External Partners
  • Vasyl’ Stus Donetsk National University, DonNU
  • Université Côte d'Azur, UCA
  • Sumy State University, SUMDU
  • Politechnika Wrocławska
  • National Antarctic Scientific Center of Ukraine, UAC
  • Lutsk National Technical University, Lutsk NTU
  • Lviv Polytechnic National University, LPNU
  • Stichting eIFL.net, EIFL
  • EURODOC - The European Council of Doctoral Candidates and Junior Researchers
  • National Agency for Higher Education Quality Assurance, NAQA
Research areas
Start: 14.01.2021
End: 13.01.2024
The project UserGRIDs develops two user-centred energy services at city district level, be¬ne¬fit-ting from active user participation and large amounts of real-time data. An ICT platform acts as a mid¬dleware providing seamless interoperability and standardized protocols. The first service is an energy management system (EMS) for districts with strongly fluctuating con¬sump¬tion and generation characteristics. The aim is to minimize emissions through optimal mana¬ge¬ment of en-ergy storage and supply from volatile sources. Various building controllers are ex¬ten¬ded to form a comprehensive, self-learning control system for the entire district. Its de¬vel¬opment is based on detailed thermo-electrical models also used by the second service, energy structure planning. It supports decisions on the transition of the district energy system towards zero greenhouse gas emissions. EMS, ICT-platform and energy structure planning will be im¬ple¬men¬ted, tested and further developed at the INNOVATION DISTRICT INFFELD of TU Graz.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Thomas Mach
Dipl.-Ing. Dr.techn.
Project Manager at the Organizational Unit
Günter Getzinger
Ass.Prof. Dipl.-Ing. Dr.phil.
Christoph Hochenauer
Univ.-Prof. Dipl.-Ing. Dr.techn.
Martin Horn
Univ.-Prof. Dipl.-Ing. Dr.techn.
Gerhard Kelz
Dipl.-Ing.
Michael Monsberger
Univ.-Prof. Dipl.-Ing. Dr.techn.
Gerald Schweiger
Mag.phil. Dr.techn. MA MA
Funding sources
  • EAM Systems Ing. G.P. Wolf GmbH
  • EQUA Solutions AG
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • Energie Steiermark AG
  • Fronius International GmbH
  • BIG Bundesimmobiliengesellschaft m.b.H.
External Partners
  • BEST - Bioenergy and Sustainable Technologies GmbH
Research areas
Start: 28.02.2021
End: 28.02.2024
The goal of the project is to build a platform that will enable improved planning for software engineering project. An essential part of the planning and estimation of a project is a complete collection of all relevant requirements, taking the user perspective into consideration. User stories are a popular approach in software development to derive use cases, roles and requirements. In the planned platform, such user stories are managed in a structured manner to enable future projects to cover more potential requirements and to allow an estimate on the basis of historical projects. In addition, methods from the field of artificial intelligence (natural language processing, recommender systems) will be examined for their feasibility to support and complement manual input.
Staff member
Project Manager at the Organizational Unit
Roman Kern
Ass.Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
Research areas
Start: 28.02.2021
End: 30.08.2022
The development of innovative products from lignin, which comes as black liquor in a million-ton scale from pulp and paper production, has a huge potential to open new business areas. Despite significant efforts on national and international level, the vast majority of lignin is still subjected to incineration. Another societal challenge is a safe and sustainable supply with energy. While sustainable energy production has been addressed in the past years, sustainable energy storage still is an issue. Nowadays, most of the chemical storage technologies rely on depletable sources (e.g. metals), which need to be mined and transported to Europe, thereby causing a wide range of problems (e.g., disposal, sustainability, flammability etc.) In this project, a new value chain based on lignin (more precisely black liquor) is explored to generate sustainable, non‒inflammable redox flow battery electrolytes including aspects on recycling after end-of-life. For this purpose, processes will be designed to efficiently separate and pretreat the black liquor.
Staff member
Project Manager at the Organizational Unit
Günter Getzinger
Ass.Prof. Dipl.-Ing. Dr.phil.
Marlene Kienberger
Ass.Prof. Dipl.-Ing. Dr.techn.
Stefan Spirk
Assoc.Prof. Mag.rer.nat. Dr.rer.nat.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
Research areas
Start: 31.03.2021
End: 30.03.2024
The aim of the project is to implement and test the concept of sufficient individual mobility accounts in connection with the high potential of implementing CO2 reductions in business trips using a mobility account tool in companies. This enables the success of CO2 savings to be quantified and specific savings targets to be set so that climate protection measures can be implemented.
Staff member
Project Manager at the Organizational Unit
Günter Getzinger
Ass.Prof. Dipl.-Ing. Dr.phil.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Donau-Universität Krems
  • AIT Austrian Institute of Technology GmbH, AIT
Research areas
Start: 31.03.2021
End: 30.03.2023
The DIH SÜD initiative was launched by institutions from the provinces of Styria, Carinthia, Burgenland and East Tyrol to provide the best possible support to SMEs in Austria's southern region in the digital transformation taking place in the coming years. The consortium, which spans the provinces and industries, consists of five digital centres, which are central players in the regional research and innovation system. In addition to the digital centres, the consortium consists of numerous network partners, multipliers and third-party providers. A service package has been put together that includes the thematic focal points of (i) production & manufacturing technologies, (ii) security, (iii) data science - knowledge from data, (iv) digital business models & processes, (v) logistics and the cross-cutting topic of (x) human resources & young talent, the latter of which is dedicated to promoting young people with targeted qualification and motivation measures. The measures offered by DIH SÜD, based on the experience and competences of the partners, range from the implementation of information events, innovation and technology consulting activities, implementation of qualification measures to support in the development of innovations. The initial situation has already been thoroughly examined and the results show that the digital transformation is fraught with great uncertainties for companies. The direct effects of the digital transformation, the future needs and competences and above all the opportunities are very often underestimated, especially among SMEs. This is also due to information and knowledge gaps - new, digital technologies are complex, sometimes require high investment costs and often accompanying training and further education measures. Risks, challenges and opportunities can often hardly be objectively assessed by SMEs. The establishment of DIH SÜD closes a still existing gap in the development of DIHs in Austria and will support the SMEs of the Southern Austria region with know-how, networking and infrastructure in the coming years. Many successful projects have already been implemented in cooperation with companies, and the goal of the Digital Innovation Hub SÜD is to further expand these successful activities. Digital Innovation Hub SÜD. DIHs form contact and intermediary points for SMEs that require SMEs that need support with the digital transformation.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Viktoria Pammer-Schindler
Assoc.Prof. Dipl.-Ing. Dr.techn.
Project Manager at the Organizational Unit
Franz Haas
Univ.-Prof. Dipl.-Ing. Dr.techn.
Ernst Kreuzer
Mag. (FH) Mag.rer.nat. Dr.mont. FH-Hon.Prof. MSc
Stefan Vorbach
Univ.-Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
External Partners
  • Universität Klagenfurt
  • Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik (UMIT), UMIT
  • CAMPUS 02 Fachhochschule der Wirtschaft GmbH
  • FH JOANNEUM Gesellschaft mbH
  • FH JOANNEUM Gesellschaft mbH
  • ASMET The Austrian Society for Metallurgy and Materials - Eisenhütte Österreich
  • N'Cyan
  • AEE - Institut für Nachhaltige Technologien
  • Fachhochschule Kärnten gemeinnützige Privatstiftung, FH Kärnten
  • JOANNEUM RESEARCH Forschungsgesellschaft mbH
  • JOANNEUM RESEARCH Forschungsgesellschaft mbH, MATERIALS - Institut für Oberflächentechnologien und Photonik
  • Lakeside Labs GmbH
  • JOANNEUM RESEARCH Forschungsgesellschaft mbH, ROBOTICS - Institut für Robotik und Mechatronik
  • DIH Süd GmbH, Digital Innovation Hub
  • Forschung Burgenland GmbH
  • KNOW-CENTER GmbH - Research Center for Data-Driven Business & Big Data Analytics
Research areas
Start: 31.03.2021
End: 30.03.2024
Information literacy and digital competences must be considered as a fundamental competency like the ability to read, write and calculate. The UNESCO considers it “a basic human right” while the American Library Association calls it a “survival skill in the information age”. In the digital era, information literacy and digital competences are a social key competence in technology-enhanced learning settings as well as in educational/professional environments. This holds especially true during the CoVID-19 pandemic, where on short notice a sudden shift from conventional face-to-face teaching and learning to digital online teaching and learning took place. This shift poses challenges especially for lecturers/teachers as well as (teacher-)students, who have to suddenly orient themselves in a completely new situation of teaching and learning. In the DIGIVID project, we focus on the education of lecturers, in-service teachers and teacher-students at universities and Teacher Colleges in Austria, Germany and Norway, to educate them to become information literate and digital-savvy to ensure high quality of teaching and learning in online teaching and learning environments. To do so, the objectives of the project are as follows: We will develop the DIGIVIDget, a widget that presents the DIGIVID online teaching and learning curriculum based upon the European Digital Competence Framework for Citizens (DigComp 2.1) and the European Digital Competence Framework for Educators (DigCompEdu) in a sophisticated way. DIGIVID empowers lecturers, teachers and teacher-students to learn on (desktop-)PCs or time and place-independent on their mobile devices to prepare them for the demands of today’s information society and digital teaching and learning contexts like those caused by the CoVID-19 pandemic.
Staff member
Project Manager at the Organizational Unit
Viktoria Pammer-Schindler
Assoc.Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Österreichischer Austauschdienst GmbH - Agentur für Internationale Bildungs- und Wissenschaftskooperation, OeAD
  • European Commission - Europäische Kommission, EU
External Partners
  • Karl-Franzens-Universität Graz, UNI Graz
  • Technische Universität Dresden
  • Norges teknisk-naturvitenskapelige universitet, NTNU
Research areas
Start: 30.04.2021
End: 29.04.2023
The overall goal of the project is providing data- and visual analytics methods for an effective Human-AI collaboration in decision making processes. In this subproject, we will put a particular focus on providing an AI system which helps human users to readily identify, explore and reason about anomalies in multivariate time series data. Within this context, the AI will be responsible for the anomaly candidate detection, and the human users by optimizing the entire AI process, by using techniques for annotation, active learning etc.
Staff member
Project Manager at the Organizational Unit
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Tobias Schreck
Univ.-Prof. Dipl.-Volksw. Dr.rer.nat. M.Sc.
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
  • Pro2Future GmbH
Research areas
Start: 30.06.2021
End: 30.03.2023
Numerous indicators suggest that democracy is under threat worldwide, with misinformation cited as a major concern. Misinformation is troubling not only because it lingers in memory even if people know it has been corrected, but also because under certain circumstances people come to view and value inaccuracy as a signal of “authenticity.” Within a populist logic, blatant lies violate the “establishment” norm of accuracy, thereby signaling the “authenticity” of a champion of “the people”. A lying politician may be considered “honest” because they are authentically “speaking their mind”. Such belief-speaking is one component of a tripartite model of honesty developed by the funders (see figure) and involves only the speaker’s beliefs and feelings, irrespective of factual accuracy. For a democracy, “belief-speaking” is problematic because it allows leaders to “honestly” speak beliefs without seeking common ground based on the actual state of the world. We therefore urgently need a better understanding of what is considered politically “honest”, and under what circumstances. Within the tripartite model, this quest requires exploration of the balance between the three components. We pursue this quest computationally, using largescale data analysis and text modeling of corpora.
Staff member
Project Manager at the Organizational Unit
David Garcia Becerra
Univ.-Prof. Dr.sc.ETH
Funding sources
  • University of Bristol
External Partners
  • Wake Forest
  • University of Bristol
Research areas
Start: 30.09.2021
End: 29.09.2023
Democracy is under threat. Populist movements—mainly but not exclusively on the political right—have pitted "the people'' against a presumed "elite'' that is variously constructed to include the judiciary, mainstream media, politicians, experts, and academics. PRODEMINFO builds on the realization that factual inaccuracy can be a political asset rather than a liability: Populist politicians may state obvious falsehoods to signal disregard for the "establishment" norm of honesty, thus identifying themselves as authentic champions of "the people." The rebranding of inaccuracy as authenticity reflects a profound shift in the underlying ontology of truth: Whereas liberal democracy is tied to a realist ontology of truth and a shared body of accepted knowledge, the populist ontology of truth is entirely constructivist and subjective. Understanding, documenting, and then addressing this ontological shift is crucial because it drastically changes the way in which one might confront misinformation—there is little point in correcting falsehoods if facts are not considered a relevant attribute of public discourse. PRODEMINFO will build tools to protect democracy in Europe by drawing a strategic arc from the threat arising from the insurgent populist ontology of truth to the development of protective solutions that can be rolled out at scale online. The objectives of PRODEMINFO are (1) to understand contemporary misinformation in Europe and how it connects to people's tacit ontology of truth; (2) to develop countermessages based on inoculation theory that are sensitive to people's different ontologies (e.g., addressing authenticity rather than accuracy of political speech); and (3) to test such countermessages at scale on social media. PRODEMINFO will pursue these objectives by combining controlled behavioural and cognitive experimentation with "big data'' analyses of social media, simulation modelling of behaviour online, and text modelling of large corpora.
Staff member
Project Manager at the Organizational Unit
David Garcia Becerra
Univ.-Prof. Dr.sc.ETH
Stefanie Lindstaedt
Univ.-Prof. Dipl.-Inf. Dr.
Funding sources
  • European Commission - Europäische Kommission, EU
External Partners
  • University of Bristol
Research areas
Start: 30.09.2021
End: 29.09.2026
The Austrian government is committed to accelerating the transition of its energy system and achieving CO2 neutrality by 2040. To achieve this goal, Austria must significantly step up its efforts to decarbonise all parts of its energy sector. Buildings account for about a third of the total energy demand. The government plans to phase out oil and coal heating systems by 2035 and limit the use of natural gas for heating in new buildings from 2025. Energy services such as predictive maintenance, demand-side management and model predictive control are central components for reducing the energy consumption of build-ings and transforming buildings into active, intelligent actors in higher-level energy sys-tems. The aim of BEYOND is to develop the technological foundation for “Next Generation En-ergy Services”, which is made possible by the interplay of the following technolo-gies: Virtual Reality for visualization and real-time interaction with the real building; Machine learning and physical simulation to show the real-life effects of interven-tions and decisions. IoT platforms for bidirectional real-time communication be-tween the building and its users. The technological developments are tested and evaluated on the basis of two use cases “Predictive Maintenance and Error Diagnosis” and “Human Aspects in Buildings”. Innovative companies in the field of energy services, building automation, simulation software and VR technology will benefit from the developments in BEYOND. Political decision-makers and end users will also benefit from the new possibilities of actively engaging with these next generation Energy Services.
Staff member
Konsortialführer/in bzw. Koordinator/in von mehreren TU Graz Instituten
Christina Johanna Hopfe
Univ.-Prof. Dipl.-Ing. dr
Project Manager at the Organizational Unit
Johanna Pirker
Ass.Prof. Dipl.-Ing. Dr.techn. BSc
Gerald Schweiger
Mag.phil. Dr.techn. MA MA
Funding sources
  • Österreichische Forschungsförderungsgesellschaft mbH (FFG) , FFG
Research areas
Start: 31.10.2021
End: 30.10.2023
The DigiGo project supports employees in acquiring digital skills who work in areas particularly affected by the digital transformation. The goal of the first part of the project (phase 1) is to create a concept that describes how employees can be supported in acquiring digital competencies in a self-regulated and autonomous manner. The DigComp 2.2 AT model is used as a framework for competence development. The creation of this concept includes a requirements analysis and several workshops with a group of employees. Employees in machine production, office management and customer service are addressed as the target group for the project. The concept serves as the basis for the subsequent development of a personalised learning application.
Staff member
Project Manager at the Organizational Unit
Alexander Nussbaumer
Dipl.-Ing. Dr.techn.
Participant / Staff Member
Christian Gütl
Assoc.Prof. Dipl.-Ing. Dr.techn.
Funding sources
  • Kammer für Arbeiter und Angestellte für Steiermark, AK Steiermark
Research areas
Start: 31.12.2021
End: 30.12.2022
Wider research context/theoretical framework During the global crisis caused by the SARS-CoV-2 pandemic, all of a sudden societies worldwide found themselves in a state of emergency. While governments consulted mostly virologists and ordered a general lockdown to ‘flatten the curve’, citizens turned to existing ‘pandemic fiction’ or started to produce their own ‘corona fictions’ in order to understand the crisis (management), distract from pandemic fear or endure confinement and physical distancing. These reactions reveal the importance of literary and cultural productions, which – understood as a pool of “Means of Living and Means of Survival” (Ette 2016, 7) – offer explanations, show coping mechanisms, and foster resilience. Hypotheses/research questions/objectives The leading hypothesis of the project understands that pandemic narratives are based on consistent structures which circulate across media. ‘Spreading’ through transmedia storytelling (based on Jenkins), they contribute to an overarching meta-narrative throughout different subgenres, which, in turn, transfer their genre characteristics to the content. This assumption leads to the following research questions: - To what extent and how do corona fictions differ from previous pandemic fictions? Which parts of the meta-narrative are reactivated in corona fictions? - What are the main topics of corona fictions? Is it the fear of getting the virus, of dying or the difficulties of the confinement (isolation, care duties, domestic violence etc.)? - What narratological function does the coronavirus adopt? The objectives of the project are to determine how the pandemic meta-narrative is reactivated within current corona fiction. Furthermore, to demonstrate how health policy measures, e.g. the lockdown, influence cultural production processes and sociocultural practices. Approach/methods The project employs a pluralistic, multimodal, and interdisciplinary methodological approach in order to render the transmedia degree of the transcultural pandemic fiction. It includes (1) transmedia storytelling, (2) citizen science for the collection of the data and (3) the digital humanities for their computational processing and graphical presentation. (4) For the description and analysis of the formal aspects as well as the content of the specific corona texts, a methodological framework stemming from cultural, literary, and media studies will be used according to the specificities of each text. Level of originality/innovation The project combines the latest cultural productions published in the SARS-CoV-2 pandemic with cutting-edge methodologies and technologies. It integrates citizen science for the collection of the corona corpus, displays the data as an Open Access bibliographic network (Digital Humanities) and investigates the corona fictions through the lens of transmedia storytelling.
Staff member
Project Manager at the Organizational Unit
Yvonne Völkl
Mag.phil. Dr.phil.
Participant / Staff Member
Elisabeth Hobisch
Mag.phil. Dr.phil.
Funding sources
  • Fonds zur Förderung der wissenschaftlichen Forschung (FWF), FWF
External Partners
  • Karl-Franzens-Universität Graz, Institut für Romanistik
Research areas
Start: 31.12.2021
End: 30.05.2023
The COVID-19 pandemic is a public health crisis of unprecedented scale in modern times. Social and behavioural measures are important tools to curb the spread of the pandemic. The unfolding of the epidemic in a given country greatly depends on its implemented measures and the population’s willingness to adhere to them. Almost all countries have enforced or at least recommended some kind of physical distancing alongside wearing masks and washing hands, but it is unclear to what extent the population is following these policies. Additionally, during the last months, many countries have experienced movements that discourage adherence to measures and large protests against the measures. Human behaviour is, therefore, a large source of uncertainty in epidemic modelling and its understanding it is crucial to understand and prevent the spread of the virus in communities. Evidently, general pandemic modelling needs to be improved by including the modelling of human behaviour under the conditions of a pandemic. There is strong evidence that individual prosociality drives the willingness to adhere to measures and can be used as a proxy to assess this willingness. On the collective level, prosociality is subject to complex social and emotional interaction processes that are not yet understood in the context of an ongoing pandemic. The aim of this project is to understand how collective social and emotional interaction processes can sustain prosocial behaviour that prevents the spreading of COVID-19. To do so, I plan to combine large-scale data analysis of social media data with computational modelling of epidemic spreading and human behaviour. As a first step, I want to establish a correlation between an individual’s prosocial intentions, prosocial expressions on social media and increased willingness to adhere to measures through a large-scale survey of Twitter users. I then want to measure collective prosociality in a range of countries by large-scale data analysis of social media data. Subsequently, I want to test the hypothesis that collective prosociality levels in a country are (together with the timeline of country-specific countermeasures) predictive of (a) population mobility changes and (b) pandemic spread. Here, it is crucial to emphasise that collective prosociality can capture both mobility behaviour and cautionary behaviour, the latter of which is otherwise invisible and hard to assess. Lastly, I want to model collective prosociality as a dynamical system that is subject to reinforcing and dampening feedback by joint experiences and “measure fatigue”, respectively, and leads to collective levels of prosociality that oscillate in time.
Staff member
Project Manager at the Organizational Unit
Jana Lasser
Dr.rer.nat. B.Sc. M.Sc.
Funding sources
  • European Commission - Europäische Kommission, EU
Research areas
Start: 31.01.2022
End: 30.01.2024
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