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2023-2026 The INGENIUM European University is an ambitious Alliance that brings together 10 Universities from 10 EU Member States, supported by a large group of associate organisations, ranging from regional and local governments to industry and civil society groups.

2022-2025 The application of the emerging INGENIUM Alliance of European Universities met the required criteria for the Horizon Europe, Call HORIZON-WIDERA-2021-ACCESS-05-01 – Capacity building to strengthen networks of Higher Education Institutions (HEI) and cooperation with surrounding ecosystems.

2021-2023 A more sedentary life and a diet high in sugar have created public health problems in low-income countries - heart disease has become increasingly common in the population. To help prevent this development, researchers at the University of Skövde, Mid Sweden University and two Nepalese universities will examine existing knowledge among parents and school children in Nepal and develop a digital health education.

2015-2021 Iman Morshedzadeh is a PhD student within IPSI. He is developing an information structure for managing virtual models and their related data, in the product lifecycle management (PLM) context. Iman started his research in April, 2015 and plan on being finished in 2021. This research is partly funded by Volvo Cars Engine factory, and the results of this research will be used by them for implementation of a PLM system in their factory.

DHEAR Family-Centred Health FamCeH

2019-2024 The research project Digital Parental Support research project was initiated in 2019 as a pilot project collaboration and includes researchers from the research group FamCeH at the University of Skövde (the School of Health Sciences), researchers from the School of Information Science at the University of Skövde, the Labor and Postnatal Ward at Skövde Skaraborgs Hospital and Antenatal Clinics Skövde and, Västra Götalandsregionen.

DHEAR Family-Centred Health FamCeH

2017-2021 The number of people with poor mental health has doubled in Sweden since the mid-eighties. Symptoms related to poor mental health are sleeping disorder, anxiety, irritability, stomach ache, back pains or concentration difficulties. WHO highlights mental health in adolescents as a high priority area that needs to be addressed to promote the agenda for sustainable development.

DHEAR Family-Centred Health FamCeH

2019-2024 The University of Skövde funds a doctoral project on parental support. The overall aim with this doctoral project is to examine existential health and sustainable development among women and partners during the transition to parenthood as well as explore midwifes understanding of existential health and sustainable development in a digital society relating to parenthood. This can be a basis for creating a care that contributes to sustainability for parents and society.

DHEAR Translational Medicine

2016-2021 The scientific work that will be performed in this project is to explore new pathways of cancer treatment with particular focus on pancreatic cancer. These new ways of treatment are based on changing the functions of different signaling and metabolic pathways such as NADPH oxidase (NOX), reactive oxygen species (ROS) and metabolism which are known to be up-regulated or malfunctioning in cancer cells. By using different chemicals such as NOX inhibitors, digitoxin and ketone bodies inhibit their activity and thereby decrease the cell viability of the cancer cells. Focusing treatment on the differences between normal / cancer cells would help develop methods that inhibit cancer cells with less negative effects on normal cells.

DHEAR Translational Medicine TRIM

2020-2025 The study is a human study for healthy volunteers who for three weeks replace their usual diet with a ketogenic diet. Metabolic, microbiotic, neurobiological and clinical parameters are measured before and after the study. This means that a whole-body perspective is taken into account when it comes to health, but also the mental part as well as how the mentally status linked to the dietary change.

DHEAR Translational Medicine TRIM

2019-2021 We focus on the molecular link between androgen excess and the development of reproductive disorders, obesity, and type-2 diabetes in females. Our overall aim is to investigate new treatments and identify the underlying mechanisms that improves or protect against the development of diabetes and decreased fertility. My line of research has evolved from more than 10 years of experience in whole-animal physiology studies involving endocrinology, metabolism and re-production.

DHEAR Wellbeing in Long-term Health Problems

2019-2022 The Swedish part of the BaltSe@nioR 2.0 joint project is headed by associate professor Catharina Gillsjö at the School of Health Sciences, University of Skövde. The partnership in the project includes a number of partners from countries around the Baltic Sea and is financed by the Interreg BSR, the Baltic Sea Region Program.

DHEAR Wellbeing in Long-term Health Problems

2019-2024 The elderly are becoming a bigger share of the population and more older people still have their own teeth. Elderly people who need municipal care are also on the rise and this places demands on nursing staff to have the skills needed to assess and care for the oral health of the elderly. Performing oral care is not an easy task, as it can be perceived as an invasion of privacy. Neglected oral health can also lead to poorer overall health. It is possible to prevent poor oral health with small means such as daily oral care.

DHEAR Wellbeing in Long-term Health Problems

2017-2024 A project aimed to support older adults with long term health problems. The challenge in health- and social care of today is to provide care with a holistic ap-proach to meet each individual´s needs. Health care providers tend to spend more time focusing on the health problem per see, rather than focusing on the individual´s situa-tion as a whole. Less attention is often given to psychological and social needs and dialogue with the older adult. Research has shown that many older adults experience loneliness, exclusion and lack of support, especially during times of illness.

DHEAR Wellbeing in Long-term Health Problems

2020-2024 Mobile Integrated Care is a care model introduced in Skaraborg (a former County now merged into the Västra Götalands region) that has developed into a national role model. In the research project " Mobile Integrated Care at Home in Skaraborg", researchers will study how patients and next of kin´s experience Mobile Integrated Care.

DHEAR Wellbeing in Long-term Health Problems

2015-2023 There is a demand for innovative projects based on a pedagogical approach that is systematically evaluated and focuses on the patient’s learning process. For patients with Diabetes type 2 the recommendation is a group-based education. The purpose is to improve the patient’s health in activities using the didactic model for patient education.

DHEAR – for a healthier and more sustainable soci Family-Centred Health FamCeH

2017-2022 This project is an ongoing doctoral project at the University of Skövde. There is a global interest in and concern with various health issues. Globalization affects individuals’ health and well-being and leads to worldwide migration.

DHEAR – for a healthier and more sustainable soci Family-Centred Health FamCeH

2021-2024 The health processes of children and adolescents are affected by contemporary societal discourse on values, identity formation and digitalization. It is important to make visible sexual diversity, enable healthy relationships and to prevent relationship violence. Digitalization may be utilized to contribute to and sustain health in an undertaking to gradually advance equal and sustainable development in society when supported by a health-promotive approach and a focus on the identification of resources over time.

DHEAR – for a healthier and more sustainable soci Family-Centred Health FamCeH

2019 In the Western world, injections of sterile water (SWI) are used as pain relief during childbirth (~ 5% in Sweden) and even less in countries where health systems are less developed, especially in rural areas. The idea of the project is to use digital support to increase awareness of the use of SWI, especially in areas with low access to pain relief methods during childbirth.

DHEAR – for a healthier and more sustainable soci Family-Centred Health FamCeH

2014-2024 "The Study of Parental Support" is a research project into perceptions of and experience from support given to parents in relation to childbirth. Parents are included in the study in the middle of the pregnancy and are followed the first eight years postpartum.

DHEAR – for a healthier and more sustainable soci Research on Citizen Centered Health, University of

2019-2020 The level of physical activity is constantly declining among children and adolescents. School children today do not reach the recommended level of activity needed to maintain good physical and mental health, in the present or for the future. The FUN project aims to develop digital aids and applications that will encourage pupils with neurodevelopmental disorders (NDDs) to increase their level of physical activity.

DHEAR – for a healthier and more sustainable soci Translational Medicine TRIM

2015-2020 Human hairy skin contains a special type of nerve fibers, so-called CT-fibers that respond to slow stroking across the skin, such as a caress. Oxytocin, a hypothalamic nonapeptide, is released e.g. through light touch, caresses, warm temperature etc. Oxytocin release can be linked to well-being, stress reduction and other health-promoting effects. These anti-stress effects are particularly strong when oxytocin is released in response to low-intensity stimulation of the skin. In this project, we want to study the relationship between activation of CT-fibers and release/activation of the oxytocin system in response to light touch. Some genetic variations that have previously been linked to touch responses will also be studied.

DHEAR – for a healthier and more sustainable soci Translational Medicine TRIM

2016-2025 Enzymatic inhibitors that slow down the production of ROS (reactive oxygen species) have been shown to be effective in mitigating the effects of a stroke. Additional effects, such as reduced growth of cancer cells have also been detected. This area of research is very exciting as no approved drugs with similar effects are available today.

DHEAR – for a healthier and more sustainable soci Translational Medicine TRIM

2015-2021 We investigate genes that cause cancer aggressiveness. We specifically focus on the childhood cancer tumor neuroblastoma, which occurs in the nervous system of young children. Some tumors are more aggressive than others, and the difference is what has happened to the genes in the tumor. If the tumor has lost some of the genes on chromosome 11, the child has a poor prognosis. We test the properties of genes that have been lost, to see if those specific lost properties are something that will benefit the tumor cell. We want to replace those properties through different types of treatments, and in this way kill the tumor cell. We analyze clinical/genetic data and make experiments in cultured cells and in fruit flies.

DHEAR – for a healthier and more sustainable soci Translational Medicine TRIM

2003-2029 Neurogenetic disorder is a group of diseases or conditions that impair the functioning of the nervous system and muscles. Neurogenetic diseases are largely caused by defective genes, a mutation or error in the DNA instructions. There are an increasing number of gene mutations that have been identified in patients with neurogenetic diseases. There are, however, a large number of neurogenetic disorders with unknown causes.

DHEAR – for a healthier and more sustainable soci Wellbeing in Long-term Health Problems

2019-2027 There is little known about the patient perspective in patients suffering from paroxysmal supraventricular tachycardia (PSVT), a condition with a sudden onset of fast heart rhythm. PSVT affects approximately 0, 2 – 1 % of the population in the Western world.

Digital Health Research (DHEAR) Wellbeing in Long-term Health Problems

2019-2020 Around the world, research is ongoing to develop and deepen knowledge about eHealth services. The Swedish National Guidelines for Asthma and COPD has brought attention to the lack of relevant patient education for persons with COPD. As there is an uneven regional structure regarding COPD care in Sweden, resulting in unequal care for patients, self-care education is highly prioritized in the new National Guidelines.

Enterprises for the Future Knowledge, Innovation and Marketing

2017-2020 Inbets BSR works on researching, developing and designing innovative and transferable models and tools to facilitate the transfer of small and medium-sized businesses. Professor Susanne Durstfrom University of Skövde is a partner in the Inbet BSR project, which includes several partners around the Baltic Sea (including Drivhuset Skaraborg).

Informatics Distributed Real-Time Systems

2021-2022 Over the past years, Sweden has seen a large increase in micro producers, owner of energy system. That means more installations of low voltage distributed generators and energy production systems, such as solar panels, bioelectrical energy, wind energy etc., have been connected to traditional grids. The Swedish system is set-up in a way that a micro-producer can either consume the electricity the energy system produces or feed it into the grid. The electricity not used is automatically delivered.

Informatics Distributed Real-Time Systems

2020-2021 The research idea behind the project is to address the challenge and to provide technical solutions to understand and improve CPS-based resilience for critical infrastructure protection (CIP). The research is planned for a future EU-funded project application to collaborate with academic and industrial partners in the EU.

Informatics Distributed Real-Time Systems

The DeeDS architecture is a distributed real-time systems architecture developed for complex real-time systems by the DeeDS project.

Informatics Distributed Real-Time Systems

2017-2025 We are all heavily dependent on software in our daily life. Software control our cars, phones, bank accounts etc. Failures are frequent and sometimes catastrophic. Software testing aims to reveal faults before the software comes into use.

Informatics Distributed Real-Time Systems

2017-2020 The Elvira project develops time-based infrastructure dependency analysis for the power-grid to model risk assessment and resilience index, which assist decision makers in anticipating failures and their cascading effects.

Informatics Distributed Real-Time Systems

2010-2012 Information Fusion for Energy Efficiency.

Informatics Distributed Real-Time Systems

2013-2016 The HELICOPTER proposal aim at exploiting ambient-assisted living techniques to provide older adults (end users) and their informal caregivers with support, motivation and guidance in pursuing a healthy and safe lifestyle.

Informatics Distributed Real-Time Systems

2013-2016 Model based development is used to increase software quality and software development productivity. Models are created at a platform independent level and then transformed to platform specific models by the use of a model compiler using the same principles as when source code is compiled into assembler.

Informatics Distributed Real-Time Systems

2018-2019 Cutting-edge Internet of Things (IoT) devices are increasingly deployed in urban environments creating new data streams, which could be exploited to deliver novel cloud-based services. Connected vehicles and road-infrastructure data are leveraged in this project to alleviate parking and induced traffic-congestion issues. The proposed SmartPark algorithm maximizing parking availability prediction, while minimizing the journey duration to the selected parking lot.

Informatics Distributed Real-Time Systems

The current industry practice for testing of concurrent real-time applications is often based on case-specific ad-hoc techniques.

Informatics Distributed Real-Time Systems

2013-2018 TOCSYC is a research environment that combines four Swedish groups in software testing research to advance the knowledge of testing critical characteristics of complex embedded systems. The characteristics that TOCSYC address are performance efficiency, robustness and testability.

Informatics GAME Research Group

2021-2022 Future Media Theaters brings together partners from industry, academia, and the cultural sector in Sweden, the UK, Hungary, Austria, Belgium, and the US who are all working together to investigate and create new forms of performance using interactive technologies.

Informatics GAME Research Group

2016 What is it that makes electronic sports a positive experience for the spectators, and how can that experience become even greater? A research project at the University of Skövde will give an answer to those questions. The project, partly financed by the Västra Götaland region, is a collaboration between the University and the computer-game company Stunlock Studios as well as two more partners: Tarhead Studio and Folkuniversitetet.

Informatics GAME Research Group

2014-2015 The project’s aim is to develop a framework for inclusive video game design. In this first exploratory study we are developing two games for smartphones and tablets that include players with visual impairments.

Informatics GAME Research Group

2015-2021 KASTiS is a sub-regional collaborative and knowledge platform for the sustainable use of game technology and interactive media in Skaraborg. The project started 1 August, 2015 and ends on 31 July, 2018.

Informatics GAME Research Group

2014-2015 Online “sexual grooming” is the process by which a child is befriended by a would-be abuser in an attempt to gain the child’s confidence and trust. In online interactions, children run the risk of being abused and some contacts may also lead to physical meetings where children can become subject to further abuse.

Informatics GAME Research Group

2015-2020 The main focus of the Level Up project is to study if it by using gamification and game technology is possible to increase young citizens (16-39) consumption and re-distribution of news.

Informatics GAME Research Group

2018-2021 The project Off Season Art Gardening aimed to contribute to, and create, art works in public outdoor spaces in three different countries.

Informatics Information System

2022-2025 The purpose of the DOME consortium is to build knowledge about the implementation and use of eHealth services and is based on studies of e-health projects. We do research in cooperation with the parties involved in the establishment of Online Patient Records in Sweden.

Informatics Information Systems

2016-2021 In this project a large variety of stakeholders are enabled to explore what collective action strategies are most effective to create resilience for payment system disruptions in the food system, the fuel system, the finance system and society at large.

Informatics Information Systems

2020-2021 In order to detect crises well in advance, the municipality needs to monitor what is happening in the world. Today there is no clear method for this: everyone does in their own way. In the ELISA project we take inspiration from a method used in the municipality's crime prevention work: Effective Collaboration for Security (EST). In this method, different organizations report each week what happens in society and assess together what trends occur and what different actors in society can do to respond to these events. What if the municipality could to continuously and systematically gather information in the same way to detect crisis?

Informatics Information Systems

2015-2017 The Erasmus+ project OMI (Open Model Initiative) has the goal to create teaching material and an modeling environment for enterprise modeling to be used for master and PhD education in Europe.

Informatics Information Systems

2023-2026 Elderly are vulnerable in many ways, especially with regard to isolation and involuntary loneliness. Welfare technology can break this isolation. One example of welfare technology is personal security alarms. An issue with this type of alarms is that they increase the risk of isolation as they only work in the users’ home. Meaning that people with reduced physical function and/or cognitive impairments are at risk of becoming isolated due to fear of falling or losing their way. An alternative to these alarms is GPS alarm.

Informatics Information Systems

2021-2024 Many organizations develop their working methods and services through digitalisation, but few are part of a change process that is as extensive and complex as the introduction of "Framtidens Vårdinformationsmiljö (FVM)" in Västra-Götaland.

Informatics Information Systems

2021-2024 The goal of this project is to create a platform that enables increased, multi-perspectival understanding of energy systems, society, environment, and climate.

Informatics Information Systems

2019-2022 Rescue services have to maintain their knowledge and skills on an ongoing basis through training and examination. Training is today primarily done in instructor-led exercises on training fields. Rescue services can train a greater variety and complexity of events with virtual simulation, while fire fighters can participate from their own station without having to travel. More skills can be developed more flexibly with virtual simulation: mass-training can be realized by training more often in shorter sessions. The research project focuses on how instructors should act to use virtual simulation successfully.

Informatics Interaction Lab

2023-2026 The overall goal of this project is to create a sustainable workplace where autonomous robots and humans work together safely and efficiently.

Informatics Interaction Lab

2015-2019 AIR investigates action and intention recognition in human interaction with autonomous systems (or AIR, for short). More specifically, the focus is on the interaction of humans and autonomous systems that move in shared physical spaces.

Informatics Interaction Lab

2014-2019 DREAM is a project funded by the European Commission and coordinated by the University of Skövde. The goal is to deliver the next generation robot-enhanced therapy (RET) for children with autism spectrum disorder (ASD), developing clinical interactive capacities for social robots that can operate autonomously for limited periods under the supervision of a psychotherapist.

Informatics Interaction Lab

2019-2021 Game Hub Scandinavia aims to strengthen the Scandinavian position in the global game community. In the Game Hub Scandinavia project researchers and business developers’ work together to build knowledge and networks in the global game development community in order to support Scandinavian studios on the global game market.

Informatics Interaction Lab

2023-2026 Digital tools based on AR and VR are increasingly used in industry to support operators. But how does it affect employees' skills and understanding of the systems they work with? The University of Skövde has been granted SEK 4.8 million to develop a guide for how the digital tools should be used in the manufacturing industry.

Informatics Interaction Lab

2019-2021 Sweden Game Arena is a co-operation between University of Skövde, Science Park Skövde and Skövde municipality. The project aims to build the research- and development community for game development in Skövde and Region Västra Götaland. The project has three main activities: research and education in game development and incubation specializing in incubation game studios.

Informatics Skövde Artificial Intelligence Lab

2015-2020 An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.

Informatics Skövde Artificial Intelligence Lab

2015-2019 Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.

Informatics Skövde Artificial Intelligence Lab

2017-2021 Companies keep store a large quantities of data about us, as e.g. our electronic transactions, traces of our internet usage, phone calls and social network posts. This information is valuable for the companies and also for the users as data permits personalization in services. Nevertheless, some of this information is confidential.

Informatics Skövde Artificial Intelligence Lab

2018-2020 Fusarium attacks on Swedish cereals in recent years have attracted increasing attention. While these attacks can lead to reduced harvests, the most serious effect is that this fungus can produce toxins. EU legislation has defined limit values for the content of Fusarium toxins because they are harmful to both humans and animals. Our project aims to develop a farm-based decision support system that will assess the risk of Fusarium attacks and elevated levels of deoxynivalenol (DON) in cereals. It can be used by both advisers/consultancies and farmers.

Informatics Skövde Artificial Intelligence Lab

2021-2024 The iron and steel industry needs to be streamlined and the amount of scrap reduced to increase returns. What is required is a faster and more reliable production with stricter tolerances – then better products are created that reach the customer faster. This project, INSITE-X, will develop an AI-based prototype for detailed simulation of dynamic production-behaviour of critical machines, to increase process understanding and control.

Informatics Skövde Artificial Intelligence Lab

2019-2022 Intention recognition is the task of inferring an agent´s intention based on its previous actions. It is crucial for human social intelligence which in turn enables understanding of, and for the ability to predict, other humans´ behaviours, such as for example other drivers´ intent to overtake, stop, turn, or switch lanes. For making situation-based decisions, both autonomous and human drivers need to take the intentions of surrounding vehicles into account. This is especially true in a mix of autonomous and human drivers.

Informatics Skövde Artificial Intelligence Lab

2019-2022 Predictive Maintenance (PdM) using Artificial Intelligence (AI) and Machine Learning (ML) is the top-ranked use case in terms of business value of industrial digitalization. Not surprising since the annual maintenance cost in Swedish manufacturing industry is over 100 billion SEK and 60% of all maintenance activities are reactive.

Informatics Skövde Artificial Intelligence Lab

2021-2023 This project aims to identify, adjust and implement AI methods to improve and create a more resilient drinking water production and distribution, where the operators at the drinking water plants are supported in their decision making processes.

Informatics Skövde Artificial Intelligence Lab

2018-2021 The project will create new values for the Swedish metal industry. This will be done through the use and development of recent data analysis techniques. By doing so, one will find currently hidden relationships between known and unknown process parameters and the resulting product quality.

Informatics Skövde Artificial Intelligence Lab

2019-2022 The project will study design elements of future air systems that offer cognitive support for increased team effectiveness. The project will investigate how the design of complex systems can benefit from taking the teamwork perspective.

Informatics Skövde Artificial Intelligence Lab

2019-2020 The complex interactions among socio-demographic, climatic, economic environments, and possibly legal/institutional situations involve many factors that can influence patterns of population dynamics. In this project, we plan to resolve the limitation of machine learning by providing an explainable predictive model that allows users to try out ‘what-if’ scenarios by adding interactive input at a specific point in the time-series.

Informatics Software Systems Research Group (SSRG)

2014-2016 Cloud and Internet Services with Open Source Software for SMEs (CISOSS) is an is a two years (2014-2016) ERASMUS+ project involving a number of European partners including University of Skövde.

Informatics Software Systems Research Group (SSRG)

2017-2019 The FOSS4SMEs is a two years (2017-2019) collaborative Erasmus+ project involving Atlantis Engineering, Open Forum Europe, University of Skövde, DLEARN and the Dublin Institute of Technology, which aims at bringing education on free and open source software to small- and midsize enterprises.

Informatics Software Systems Research Group (SSRG)

2016-2020 The LIM-IT project is a collaborative research project running over four years, which involves Combitech AB, Findwise AB, Husqvarna AB, JAK, PrimeKey Solutions AB, RedBridge AB, Saab AB – ICT, Scania IT AB and University of Skövde as project partners. The project is financially supported by the Knowledge Foundation.

Informatics Software Systems Research Group (SSRG)

2018-2022 The aim of this project is to ensure sustainable management of water and sanitation for all, and to promote the transition towards sustainable value chains and inclusive and sustainable economic growth. We believe that the development of digital twins, not only for the systems and processes but for the water treatment infrastructure as a whole, can open up for new efficient techniques and sustainable innovations.

Informatics Software Systems Research Group (SSRG)

2012-2015 Open Source software Reference Implementations for Open Standards Developing a reference model for improved competitiveness.

Informatics Software Systems Research Group (SSRG)

2021-2023 The main outcome from the OSSD project is a one year master programme comprising courses of industrial relevance in the field of open systems which is developed in order to address future challenges concerning sustainable digitalisation.

Informatics Software Systems Research Group (SSRG)

2014-2017 PREFORMA – PREservation FORMAts for culture information/e-archives – is a Pre-Commercial Procurement (PCP) project co-funded by the European Commission, under its FP7-ICT Programme.

Informatics Software Systems Research Group (SSRG)

2020-2024 SUDO is a collaborative research project running over four years that addresses the urgent need to tackle new and emerging challenges related to different types of lock-in effects that impact on decision makers in companies when IT systems are developed, used, and deployed in complex application domains.

School of engineering IPSI

2015-2020 In nowadays manufacturing industries there is usually a lack of knowledge in decision makers and stakeholders to optimize production and logistics flows considering the shop floor layout. Decision support system through Simulation-Based Multi-Objective Optimization can be a significant approach for production and logistics system improvement. The main benefits are optimized solutions with an increased efficiency of the production, internal logistics and required space on the shop floor layout. Usually at a lower cost than consultancy companies, obtaining just the best optimal solutions and with the possibility of analyzing them without interrupting the system. The application of research with Simulation-based Optimization in manufacturing leads to significant improvements of complex systems as demonstrated in major manufacturing companies working together with universities and research centers.

School of Engineering Sciences PAT

2015-2020 Augmented reality (AR) is a technology that is starting to reach maturity, with AR smart glasses (ARSG) showing great potential for seamless integration. With this we are facing a paradigm shift with early adapters starting to integrate ARSG into production but with a majority not still taking the step. This project aims to enable more and faster integration of ARSG into production. The method used is to develop a tool for assessing compatibility for specific production lines to guide in the first steps of integrating ARSG as an operator support tool in assembly.

Systems Biology

2020-2023 The marine algae belt is one of the most active primary producing environments in the sea. It harbors a great diversity of animals including sea squirts, ribbon/nick/serpulid and spionid worms as well as ghost shrimps. Globally there exist over 7,000 species with around 250 species from Norway. The knowledge about their taxonomy and dis-tribution is poor. Specimens in museum collections are often quite old and wrongly determined. Many of these taxa include invasive species causing high economic dam-age in aquaculture and ship transportation. This is why we urgently need a field inven-tory to collect species from the Skagerrak up to 70°N i Norway. With morphological and molecular methods, we will determine the species and learn more about their dis-tribution.

Systems Biology Biotechnology

2012-2016 Contamination with heavy metals, such as arsenics, is a severe threat to human health and the environment. The fundamental goal of this project is to develop a new variety of the strategically important crops such as rice and wheat for elimination or reduction of arsenic contamination in human foods and the environment. However, the long-term goal of the project is to protect several hundred million people around the world from severe diseases caused by arsenic poisoning through consumption of contaminated foods.

Systems Biology Biotechnology

2012-2016 With this project we aim to initiate and develop a sustainable and cost effective method for the removal of heavy metals and other toxic chemicals from the nature, particularly from contaminated water and cultivated lands.

Systems Biology Ecological Modeling

2023-2028 The CLANCY project will increase the capacity of the North Sea Region to preserve climate-adaptive, biodiverse ecosystems, through management of the Chinese Mitten Crab.

Systems Biology Ecological Modeling

2019-2024 In today’s biodiversity crisis, there is an urgent need to monitor terrestrial and aquatic species in their natural habitats, especially those that may be endangered, invasive or elusive. Studies conducted within this project will lead to a new metod of tracking down threatened species, the results will be integrated into current monitoring programmes (e.g. red-listing) and action plans.

Systems Biology Ecological Modeling

2008-2015 In this research project we study several of the suggested causes for the decline of great Arctic charr, using a combination of field experiments, analysis of historical data and analyses of mathematical models.

Systems Biology Ecological Modeling

2021 Invasive alien species can affect biodiversity as they can compete with native species or spread infections. The consequences of alien species are often very costly. It is therefore important to detect invasive species as early as possible in order to control them. How is the situation in Lake Vänern? Researchers at the University of Skövde will carry out a feasibility study with the aim of taking an inventory of invasive alien crustaceans in the country's largest lake. Behind the assignment are the Lake Vänern Water Management Association and the county administrative boards around Lake Vänern.

Systems Biology Ecological Modeling

2019-2021 Sweden and the vast majority of other countries in the world have agreed to preserve biodiversity, ie the variation of species and natural environments. Man need biodiversity as the basis for ecosystem services. Some examples of ecosystem services are carbon sequestration that slows down global warming, water purification that gives clean drinking water and pollination that increases crops.

Systems Biology Ecological Modeling

2023-2024 In this project, researchers at the University of Skövde collaborate with Kinnekulle Energi AB, Götene Municipality and the Vänerskärgården Biosphere Reserve to strengthen biodiversity within the landscape in which Kinnekulle Energi has its power line network.

Systems Biology Ecological Modeling

2019-2021 Imagine a bee collecting nectar and pollen from a flower. Their job as pollinators is one of the most important biological processes on our planet. Our survival depends on bees and other pollinators. But within recent years, reports show that our bees are not feeling well. To find out the wellbeing of different Swedish and Norwegian bee species we are going to compare these species in our research project, Supporting Nordic brown bees.

Systems Biology Ecological Modeling

2013-2016 The project aims to develop the methodology for calculating targets and reference points within the International council for the Exploration of the Seas (ICES) in accordance with the new demands of achieving maximum sustainable yields (MSY) and ecosystem-based management (ESBM).

Systems Biology Ecological Modeling

2017-2020 Industrial wastewater is usually characterized by analyses of chemical concentrations or biological toxicity tests in combination. Included is to detect if there are toxic substances or combinations of substances that are toxic and in turn will affect ecosystems negatively. In this project we aim to improve and design novel biological tests using biomarkers.

Systems Biology Ecological modelling

2019-2023 Ecology as a science has lacked a general scientific theory capable of making predictions on ecological phenomena on various levels, but now a candidate for such a theory exists. This is termed the Metabolic Theory of Ecology (MTE) and states that energy use (metabolism) is a central process for all organisms that partly can be predicted from body size and then used to make predictions on ecological processes at the population and community level. However, there is some scepticism towards MTE as a general theory and so far the empirical support for it is mixed. In this project, different predictions of MTE will be studied to test the theory and see if and how it may need to be modified.

Systems Biology Infection Biology

2017-2021 This project is one of several ongoing projects in the research "Future diagnostics of sepsis". The goal is to develop earlier and more accurate diagnostics for sepsis in order to increase the chance of patients suffering from survival and with less disease complications.

Systems Biology Infection Biology

2014-2017 All over the world, soilborne bacteria and fungi cause severe crop diseases which lead to substantial problems in agriculture due to serious yield losses of great economic impact.

Systems Biology Infection Biology

2014-2016 This project is one of several ongoing projects in the research "Future diagnostics of sepsis". The goal is to develop earlier and more accurate diagnostics for sepsis in order to increase the chance of patients suffering from survival and with less disease complications.

Systems Biology Infection Biology

2020-2023 This project is one of several ongoing projects within the research programme “Future diagnostics for sepsis”. The aim is to develop diagnostics that can be used earlier in cases of sepsis in order to increase the patient’s chances of survival with fewer complications.

Systems Biology Infection Biology

2017-2024 Inflammation is part of the body's natural response to an infection or injury. Classic symptoms of an infection include swelling, redness, warmth and tenderness.

Systems Biology Infection Biology

2016-2019 This project is one of several ongoing projects within the research programme “Future diagnostics for sepsis”. The aim is to develop diagnostics that can be used earlier in cases of sepsis in order to increase the patient’s chances of survival with fewer complications.

Systems Biology Infection Biology

2016-2020 This project is one of several ongoing projects in the research "Future diagnostics of sepsis". The goal is to develop earlier and more accurate diagnostics for sepsis in order to increase the chance of patients suffering from survival and with less disease complications.

Systems Biology Translational Bioinformatics

2013-2016 Human pluripotent stem cells (hPSC) are characterized by their unique capacities of self-renewal and differentiation, and, as such, they provide an excellent human cell source in basic research, drug discovery and regenerative medicine.

Systems Biology Translational Bioinformatics

2017-2020 Within AlgorOmics we develop and implement algorithms for integration, visualization, and analysis of large-scale omics data, with applications in stem cell differentiation and drug development.

Systems Biology Translational Bioinformatics

2015-2018 The pharmaceutical industry has an urgent need for in vitro model systems with high human relevance that can be used for toxicity testing, drug development, and disease modelling. The project aims at developing a human in vitro model based on human pluripotent stem cells that can mimic important aspects of the blood-brain-barrier.

Systems Biology Translational Bioinformatics

2020-2024 Artificial intelligence (AI) is an important driving force that is rapidly transforming health care and pharmaceutical industries in several ways. The vast amount of biomedical data available today poses unique opportunities to develop a repertoire of AI-based models. Although the results from studies using AI for solving biomedical problems are encouraging, there are numerous scientific challenges associated with AI for life science applications that need to be addressed.

Systems Biology Translational Bioinformatics

2015-2019 The aim of this project is to contribute with improved methods for analysis, integration, and visualization of biomedical big data. Recent years it has been a massive digitalization of all types of data and information in the society and the majority of all information in the world is nowadays anticipated to be digitalized. This encompasses enormous possibilities for generation of new knowledge but also puts demands on competence and tools for analysis and interpretation of big and complex data, e.g. to identify and extract patterns and information from different data sources. To meet these increasing demands of large-scale data analysis more competence, better and faster algorithms, and powerful computers are needed for execution these algorithms.

Systems Biology Translational Bioinformatics

2017-2022 This project is one of the three subprojects within the synergy project BioMine - Data-mining for biomarker discovery, selection, and validation. In this subproject we investigate how large-scale biomolecular data can be used to identify specific biomarkers for disease modelling

Systems Biology Translational Bioinformatics

2017-2022 This project is one of the three subprojects within the synergy project BioMine - Data-mining for biomarker discovery, selection, and validation. In this subproject we investigate how large-scale biomolecular data can be used to identify specific biomarkers for toxicity testing. The project is performed in close collaboration between the University of Skövde, AstraZeneca Gothenburg and Takara Bio Europe.

Systems Biology Translational Bioinformatics

2017-2022 In the BioMine project (Data-mining for Biomarker Discovery, Selection, and Validation), studies are performed on how large-scale biomolecular data can be mined to enable discovery and validation of multilevel biomarkers in Life Science.

Systems Biology Translational Bioinformatics

2017-2021 The advancement in stem cell research over the last decade has now made it possible to generate large quantities of human specialized cells for in vitro applications. Specifically, in the drug discovery and development process this has important implications. The project involves studies of the genetic and molecular basis of hypertrophy and aims to develop new knowledge that can contribute to the development of novel therapies and treatments that can reduce cardiovascular morbidity and mortality.

Systems Biology Translational Bioinformatics

2022-2024 In this project we develop and implement an innovative Deep-Learning (DL) based method for quality assessment for industrial use. By using human embryonic stem cells as a model system, we develop in different steps a neural network (NN) classifier for a stepwise prediction of the cell state (quality) of these cells using quantitative PCR (qPCR) data.

Systems Biology Translational Bioinformatics

2019-2021 The Transplant Tissue Engineering (TransTissuE) is a collaboration project between the University of Skövde, VERIGRAFT and XVIVO. We develop methods and strategies for optimization of the production process of personalized tissue-engineered vascular transplants.

Virtual Engineering

2021-2025 Digitization is going at a furious pace and if Sweden is to maintain its competitiveness, we must introduce new knowledge into people. During the years 2021-2025, the WISER project will do just that. Among other things, the project will create competence-enhancing initiatives in the technologies of the future, organizational development and leadership.