Aerial photos from 60 countries across the developing world are now becoming a gold mine for researchers in various fields. This is thanks to a research project in which a large and previously inaccessible archive is digitised and made freely available.
Sara Causevic, you are researcher at the Department of Public Health Sciences at Stockholm University. But recently on LinkedIn you shared a perspective article on AI for sustainability that you have published together with three other researchers in the scientific journal Discover Conservation. AI for sustainability research is a bit out of your sphere as a researcher of public health. What are the reasons for you engaging in this?
The purpose of Järvaveckan is to bridge the gap between citizens, politicians, civil society, business leaders and governing bodies. The Department of Computer and Systems Sciences (DSV) was one of 375 participating organisations in 2024. We had a quick chat with DSV researcher Luis Quintero who planned and participated in the event.
The anthology "Fintech Competition: Law, Policy, and Market Organisation" is Volume 17 in the series Swedish Studies in European Law, published by the Swedish Network for European Legal Studies. The editors are Konstantinos Stylianou, Marios Iacovides, and Björn Lundqvist.
Department of Molecular Biosciences, The Wenner-Gren Institute
One step closer to the goal of AI-based drug discovery: a new AI system can predict the structure of protein-ligand complexes directly from sequence information
In order to advance intelligent data analysis, there is a need for novel and potentially game-changing ideas. This assumption is the foundation for the IDA symposium which in 2024 was organised at Stockholm University. Explainable AI was one of the important themes.
In a recently published research paper, Sonia Bastigkeit Ericstam, PhD student in civil law, examines the legal framework regulating algorithmic managementin the workplace - in particular regarding employee consent to the use of algorithms.
A new wave of wearable devices will collect a mountain of information on us. And there are privacy implications, writes Luis Quintero in The Conversation.
In autumn 2024, a new course in Machine Psychology will start at the Department of Psychology. The course introduces machine psychology – theories and research about Artificial General Intelligence (AGI) from a psychological perspective.
A new study at Stockholm university examines the experiences of students with disabilities (SWD) in online higher education. Through a questionnaire involving 6256 students (430 SWD), it investigates differences and similarities between SWD and other students in online courses.
Complicated datasets which contain many different features are challenging to work with. A new PhD thesis explores how the challenge of dimensionality can be tackled.
What is quantum computing and how can it be used? This emerging technology shows a lot of potential. A new course developed at DSV gives you a head start.
Introduction In libraries and archives worldwide, thousands of historical manuscripts are written in secret codes. The research field of Historical Cryptology, tries to find ways to decode these secret documents.
In the fast development of technology, DSV has together with the Department of Statistics, developed a new master’s programme, aiming to meet the demand for future data scientists.
Stopping dead seems to be a default setting when driverless cars encounter a problem. This can cause chaos on roads, writes professor Barry Brown in The Conversation.
Sweating, facial expressions and increased heart rate. Our bodies send signals about our emotions – signals that can be picked up by sensors. The input can then be used to design our next workout, meal or learning experience. Luis Quintero’s research provides a sneak peek into the future.
Data is available in abundance. However, to utilize this raw material we need to sort it so that patterns and trends become visible. Zed Lee develops algorithms that are useful for industry as well as healthcare.
How many connected devices are there in the world? No one knows for sure, but according to a forecast, we might reach 50 billion in a couple of years. This means that enormous amounts of data have to be generated, managed and stored. Today’s cloud solutions won’t be enough, argues Ramin Firouzi.
Eva Erman and Markus Furendal has been granted 6,4 million SEK from Vetenskapsrådet for a new research project: "The Global Governance of Artificial Intelligence and its Democratic Challenges"
His research interests are enterprise architecture and threat modelling, and he was recently promoted to associate professor. Meet Simon Hacks, whose next project involves optimising maritime transports.
From “9 to 5” to “open 24/7”. With smartphones and other technical devices, we are always connected. How does that affect the balance between work and other parts of life?
Katie Berns successfully defended her PhD thesis on September 22, 2023, at the Department of Computer and Systems Sciences (DSV). What has her PhD journey been like, and what will she do now? We decided to ask her.
Digital technology that makes it easy for businesses, individuals and volunteers to reach each other plays an important role in the success of today's voluntary organisations. This is shown by a new thesis in computer and systems science from Stockholm University, where work to reduce food waste is in focus.
AI technology is breaking new ground in all areas, not least in medicine. What can we expect in a near and distant future? PhD students and supervisors from five countries gathered at Stockholm University to discuss their projects and learn from each other.
Björn Lundqvist is professor of European law with a focus on Competition law at the Department of Law. He is one of Stockholm University’s new professors who will be installed at a ceremony in the Stockholm City Hall on September 29.
The United Nations agency WIPO (World Intellectual Property Organization) has recently published a new research study under their initiative "Building Respect for IP." Behind the study is Eleonora Rosati, a professor of intellectual property law at Stockholm University.
The Swedish tax agency is a rare success story when it comes to digital transformation in the public sector. Most attempts fail, says Gideon Mekonnen Jonathan.
Work related stress can have a negative impact on our wellbeing. Could an ICT-based tool help us cope with stressful workdays? Manoja Weerasekara has explored the topic in her PhD thesis.
How can humans and flying drones interact in aesthetic ways? The topic was explored in the Second Drone Arena Challenge. A DSV student team won third prize and was the favourite of the audience.
New tech solutions will not solve all our energy problems. To become more sustainable, most of us need to change our lifestyles too. Professor Afzal Siddiqui was very clear when he delivered this message to members of the European parliament.
One best paper award and three honorable mentions. DSV proved its strong position in the Human–Computer Interaction research field at this year’s CHI conference in Germany.
During Sweden's current presidency of the Council of the European Union, the upcoming AI-act is one of the issues on the table. And it is a regulation that is highly important, according to several researchers at the Department of Law, Stockholm University.
We’ve had our head in the cloud for some years, but now there’s a shift towards living on the edge. Bringing computing power closer to data sources will allow for smarter applications.
Increasing environmental sustainability is on top of agendas around the world. Mohamed Sapraz has designed a digital platform to help citizens and government officials communicate around environmental sustainability.
Video-based technology can be of great help in the care of older adults, but at the same time raises several questions of a legal nature. At SU Law, two PhD students are currently studying these issues within the framework of an EU major research program.
Modern, knowledge-intensive organisations are entangled in sophisticated networks of suppliers, competitors, customers and other actors. These ecosystems are the focus of Daniel Chen Hsi Tsai’s research interest.
By merging virtual and physical on an interactive display, students at DSV have created a mixed reality tabletop experience. The project has been guided by the concept “ease of use”.
Cyber threats have been in focus more than ever lately, intensified by the war in Ukraine. European experts are coming to Stockholm University to discuss cybersecurity.
Aron Henriksson, new associate professor at DSV, is a researcher in natural language processing. His results have important implications for healthcare.
Machine learning can support clinicians, for example in recommending treatments. But what does it take for a doctor to trust a computer? Jonathan Rebane has deep dived into this topic and successfully defended his PhD thesis.
Artificial intelligence (AI) and deep learning are becoming increasingly important to map the proteins in our cells and how they interact with each other. In a new project, the researchers will develop tools to increase understanding of how cells work.
The Mike Young Academy has listed the top 100 researchers in Sweden based on their visibility in social media in 2022. At #4, we find Eleonora Rosati, Professor of Intellectual Property Law at Stockholm University.
Together with Riksarkivet, IIES graduate students Mattias Folkestad and Monir Bounadi seek help from the public to digitize one of Sweden's largest political name collections.
Melina Bernsland and Arvin Moshfegh wrote a work-in-progress submission that got accepted to the ACM Interactive Conference on Interactive Media Experience (IMX).
A new study performed at Stockholm Resilience Centre at Stockholm University has identified the regions and ports at highest risk for labour abuse and illegal fishing. Of more than 750 ports assessed around the world, more than half are associated with risk of labour abuse or illegal fishing.
The Swedish Law and Informatics Research Institute (IRI) has newly launched the publication of the Nordic Yearbook of Law and Informatics 2020–2021: Law in the Era of Artificial Intelligence.
Would you like to share a car with your neighbors, or have a total stranger sleeping in your spare room? If your answer is yes – does your family agree? DSV researcher Airi Lampinen studies interpersonal aspects of the hyped sharing economy.
Fake or fact? Social media is flooded with disinformation, and it’s hard to know who’s telling the truth. A European team led by DSV researchers has created tools to expose ”fake news”.
Three industrial doctoral students from Spotify study the future of machine learning together with researchers at the Department for Computer and Systems Sciences at Stockholm University.
Stanley Greenstein will represent Stockholm University at the 3rd edition of Stockholms Akademiska Forums live event ‘Stockholm Explorative Talks’ – a collaboration that brings together scholars from different disciplines on stage, representing all the 18 universities of Stockholm.
Hazard and risk screening are in focus for one of the work packages in Mistra SafeChem. Ulf Norinder is developing a computational toolbox to estimate whether chemicals are hazardous or not.
Sidestepping hit-and-miss experiments and the need for luck in the lab, artificial intelligence can help direct chemists and companies to likely new organic materials for use in electronics – and more, including unlocking secrets of the Universe.
The project focuses on developing a conceptual framework for the design of military command systems, considered as Systems of Systems (SoS). The project highlights the need for a holistic view of capability development, where technical, organizational, and human factors interact. This is Jan Lundberg’s PhD project at DSV.
While there has been fast and rapid progress in terms of the development of self driving vehicles, these new technologies have also been controversially involved in a number of fatal accidents. This project studies the “social order” of traffic. What happens when artificial and human intelligence meet on the road?
How can Teacher Education provide teacher students with the professional competency needed in a future where Artificial Intelligence (AI) is expected to play a more central role in the school?
Can AI help us come to terms with fraud? In this project, we use machine learning models to identify indicators for unclear insurance claims in order to deter suspicious damage payments and insurance fraud.
Working with humans is incredibly difficult for robots. This project aims to develop new ways for robots and intelligent agents to understand, interact with, and adapt to the complex and collaborative ways we humans work together to get through our everyday lives.
Digital twins and artificial intelligence are two of the key driving technologies of the fourth industrial revolution. This project connects the two fields in an industry–academia collaboration between Stockholm University and Atrium Ljungberg.
While the future of autonomous vehicles seems to be approaching, there will still be instances where human intervention will be necessary. In this project we develop Extended Reality experiences to provide visions of this future, informed by current events and autonomous agent research.
The evolution within the information society has reshaped learning, offering benefits such as improved learner motivation and learner autonomy. Therefore, teachers must adapt to evolving technology trends. This PhD thesis examines the potential of text-chat mediated dynamic assessment for language development.
Developments in artificial intelligence (AI) has raised concerns: Will human skill be replaced by AI-based technologies? This project investigates how AI tools may be used as constructive resources in programming and creative design contexts. We adopt a perspective of co-creativity between user and technology.
CISMOB’s main vision is to promote innovative ways to reduce carbon footprint and increase sustainability. This project aims to improve efficiency in the use of urban transport infrastructure through ICT. The project also looks into how public transport was impacted by the COVID-19 pandemic.
Educational AI systems can offer learners valuable teaching and exercise support. And social robots can make such AI support even more effective. However, robots need to be more adaptable to different student groups and individuals with different backgrounds.
The shift towards renewable energy comes with technical challenges. We investigate how AI-algorithms can be used in the electric networks of our cities for smart coordination and control of the more volatile, renewable energy resources.
New data-driven solutions have the potential to improve the situation for co-morbid elderly people. In this project we identify, analyze and pilot test such innovative data-driven solutions for elderly by supporting collaboration between care providers.
With massive amounts of personal data being generated, privacy has become a great challenge. This project studies how machine learning can be used for sharing language models without risking to share information that may identify individuals.
Are you interested in breaking historical ciphers?
Check out our project aiming at the automatic analysis and decipherment of historical secret writings.
AI and data-driven autonomous decision-making will play a leading role in the digitalization of critical infrastructures for electricity, water, and transportation. This project explores our future smart societies.
The main purpose of this project is to examine Artificial Intelligence (AI) literacy in the context of Teacher education (TE), through three workshops that brings together leading experts in the field
The way that technology is designed affects both people and the planet. Therefore, we need to prioritize the ethical dimensions of technology and develop practices for ethical design. This project explores ethical design practices together with design practitioners.
Digital Europe for all (DE4A) is an EU project, funded by Horizon 2020. The over-arching goal is to reinforce trust in public institutions and facilitate digital public services across sectors and national borders, involving different actors.
Criminal investigations often require physical evidence. At the same time, society is increasingly digitized and internet-connected. This places greater demands on the police. How will criminal investigations need to change in the future?
How can humans and drones interact? The Digital Futures Drone Arena is a demonstrator project that develops a novel aerial drone testbed, arranging annual drone competitions.
Environmental sustainability is a pressing question all over the world. This PhD thesis project aims to design and evaluate a digital collaborative platform to improve the environmental sustainability in Sri Lanka.
This project is aimed at elderly with multiple illnesses. We identify and design innovative services, based on data-driven solutions. The goal is to proactively prevent mistreatment in health care and re-enrollment in advanced hospital care.
This action research project will transform mental healthcare in Uganda. We develop a digital solution to facilitate care and support, and give access to expertise to those most in need. Solutions will be modelled on Swedish systems, but informed by a local needs assessment to ensure relevance in Uganda and user centred care.
The focus of this PhD thesis project is on distributed intelligence in the Internet of Things (IoT), edge computing, and distributed computing. Currently, we are investigating how to optimize the architecture of the network at the edge of IoT to provide more efficient distributed intelligence.
Cultural integration using social robots and conversational AI. Is it even possible? Yes, we think so! The goal of the project is to develop a language learning system that takes into account cultural aspects that will allow training on, admittedly AI-generated, authentic situations.
Ending Childhood Obesity is a national initiative aiming to prevent overweight and obesity in preschool children aged 0–6 in Sweden. Thereby, we hope to contribute to the reduction of mental illness, type 2 diabetes, and cardiovascular diseases.
The Fractal Enterprise Model (FEM) provides a different way of looking at enterprises. It maps assets, processes and the connections between them. This PhD thesis project explores how FEM can be a guide to business transformation and digital innovation.
This project addresses fundamental ethical and legal challenges that AI technologies bring to learning and teaching in higher education. It will provide knowledge about how to conceptually and empirically approach these challenges, but most importantly: How to deal with ethical issues in practice.
This project explores the growing datafication of the education sector in the Nordic countries. Our exploration is concretized through a workshop series. We focus on dimensions of ethics and values embedded in emerging sociotechnical imaginaries of education and learning.
The aim of this EU project is to increase food safety for citizens. Today there is a wide array of data sources holding crucial information about the food that we eat. The problem is that these sources are heterogeneous – and sometimes hidden. We explore how data can be mined, aggregated and analysed using AI.
Electronic health records are full of important information about diagnoses and treatments of patients. Sharing this information in a federated health data network, across hospitals in the Nordic countries, will improve the quality of health care.
This project studies health management information systems in Somalia. We gather information on the availability of functioning systems in place, and identifiy needs for human and technical support. This will be used to implement a unified system for improved maternal and child health care.
The aim of this project is to enable the practical use of methods for de-identification of clinical free text written in Swedish. The HB Deid tool will be tested on textual patient data from Region Stockholm and not only in a laboratory environment at Stockholm University.
There is an increasing trend towards organizing economic and social exchange with the help of online platforms. The transportation service Uber and the short-term rental service Airbnb are two examples. This project focuses on economic encounters in relation to these new marketplaces.
The INCIDENCE project addresses challenges in the global educational sector. Suggested solutions will empower both teaching staff and students with knowledge on maintaining a high level of cyber hygiene and new capabilities to respond to potential threats that may arise.
This PhD thesis project studies how formal and informal structures influence IT alignment in public organisations. The project also explores how IT alignment improves organisational agility – one of the determinants of a successful digital transformation.
The aim of this PhD thesis project is to study the IT governance mechanisms that influence digital transformation in different organizations. We also study their influence on organizations’ performances.
Medical devices collect huge sets of patient data every day, at every hospital, around the world. What if these data could be used to improve diagnostic tools? This PhD thesis project explores how medical data can be used in a safe way.
Machine learning has been developed and adopted in different areas where both accuracy and interpretability is required. However, most high-performance models lack interpretability. Therefore, additional algorithms are required to guarantee the complex models’ interpretability.
How can technical solutions help medical doctors make more accurate diagnoses, generate prognoses and estimate the probability of various outcomes? In this project, we use machine learning and language technology to develop prediction models for sepsis and COVID-19.
Speech-to-text interpreting for people with a hearing loss is today done by keyboard printing in Sweden. The project aims at raising production availability be developing speech technology for respeaking in Swedish.
Internet of Things (IoT) allows machines to communicate directly with other machines, without involving humans. This technology provides excellent opportunities to do things faster and smarter. But it also raises questions concerning security and privacy.
Learning with robots? The project aims to explore how we can use and benefit from human-robot interaction in adult education in Sweden, with special focus on students with Swedish as a second language.
The purpose of the project is to develop and evaluate scientifically based pedagogical approaches, methods and tools within the domain of air combat training, to systematically plan, evaluate and follow up training and training results.
PhD project that aims to examine legal information retrieval, the concept of legal information within the framework of the doctrine of legal sources and the information-seeking behavior of lawyers.
Today, AI is repeatedly presented as a technology that will change learning and work in the
future. A parallel discourse is that individuals will need to adapt to such a future by educating
themselves. But what exactly are we supposed to learn in the ‘fourth education revolution’?
This project explores linguistic and institutional dynamics in multilingual workplaces, examining interactional practices and identity construction. Using audio/video data, it focuses on backstage talk, leadership, and socio-technical practices in manager-employee meetings, employing EMCA, MCA, and socio-technical methods.
Digital business ecosystem involves many actors and can be difficult to manage. This PhD thesis project aims to address management concerns by developing a modelling method supporting the dynamics and resilience of digital business ecosystems.
In this PhD thesis project, the KYKLOS method is developed. Its purpose is to provide methodological and tool support for changing organizations using enterprise modeling and a capability-oriented approach.
The interdisciplinary project brings together ideas and methods from linguistics, complex systems, machine learning, biology, and cultural evolution to seek answers to one of the big questions about humans.
The DeepWetland project aims to develop a machine learning (ML) platform to monitor water extent changes in wetlands by integrating multiple data sources from satellite images, radars, and other space sensors.
DigPhil is a cutting-edge doctoral research environment that combines the study of historical languages and their varieties with advancements in language technology.
The aim of this PhD thesis project is to study digital transformation in public organizations. We focus on how organizational culture in public organizations is influencing digital transformation.
In this project we are studying automated decision-support in municipal-based work with social assistance. The focus is directed towards, e.g., approval rates, variations in decisions and consequences for applicants as well as professionals.
With better descriptions of a patient’s state and history, more efficient recommendations can be provided. We explore how AI tools can be put to practical use in healthcare. We focus on complex and multimodal data and use cases such as COVID-19 public health interventions or patient phenotyping for adverse drug events, sepsis, or cancer.
Autism is one the most common neurodevelopment diagnoses, and it implies severe disabilities for many people. This project is about creating a platform to help people with autism to be more independent in everyday life situations.
In a near future we do not need to own cars or bikes. Instead we buy and consume personal transport as a service. How does that change society? PriMaaS is a project about developing the MaaS-concept – Mobility-as-a-Service.
Recent breakthroughs in AI have been driven mainly by large language models. While they can be very useful, they also threaten privacy – they leak private information. This project aims to identify these risks and develop privacy-preserving techniques.
This ground-breaking project brings together top universities to create digital tools for teen mental health. Our aim is to leverage diverse data for inclusive support.
The project explores the emerging security technology ”security apps” (trygghetsappar) and the knowledge consequences that such technologies bring for questions of responsibility, (fear of) crime and citizen participation.
Less accidents on the road, and more operational uptime. That is the expected outcome of this research project which uses data from trucks to develop new machine learning models. The models will let us know when maintenance is needed – before the vehicle breaks down.
Research project within DDLS and WASP-HS which aim to investigate how the implementation of AI can be promoted in healthcare, and what ethical and legal aspects such implementation should take into account.
What are the regulatory challenges when designing new systems for waste management? The topic will be explored in this research project. Our aim is to expand the understanding of interactions between environmental sustainability, local regulations and digital innovation.
This research project documents results, main challenges and successes of an international training programme on ICT regulation and formulates suggestions for improvement. Analyses of documentation and reports from programme participants are complemented by an OECD/DAC framework evaluation.
In this project, we investigate the next-generation distributed AI and Machine Learning algorithms in complex networks. Our aim is to find more sustainable solutions.
During the COVID-19 pandemic, the use of digital assessment in higher education increased dramatically. What are the teachers’ experiences from this? And what are the key opportunities and challenges in designing and implementing digital assessment?
Robotic Process Automation adoption is increasing in the public sector. The aim is to improve the quality and efficiency of public services. This PhD thesis project studies the adoption process from the perspective of technology as routine capability.
The COVID-19 pandemic has brought on changes in many areas, also in higher education. This project evaluates the Inspera digital exam portal and studies how it could increase legal certainty of distance exams.
The objective of the SWE-QUEST project is to develop a demo system that, given a text, automatically generates multiple-choice reading comprehension questions on the text.
Intimate technologies, such as insulin pumps, smart vibrators, and digital contraceptives, are typically designed for use at an individual level. However, their use and its consequences are often shared and social. This project examines how emerging intimate technologies within reproductive health come to be shared.
The intermittency of variable renewable energy sources, such as wind power, may be balanced by flexible generation from hydropower. Via game theory, we examine how strategic hydro producers could exploit this enhanced leverage in the Nordic power sector.
This project aims to produce a concrete and scalable example of how IoT (Internet of Things) can be used to develop teaching and learning in schools. By putting sensors on teachers, we can produce heatmaps of their classroom movements. This shows how they interact with students, and gives important feedback to their teaching.
In this project we study the impact of technological change on inequality for labor market, family, demographic, and health outcomes of men and women, and for immigrants relative to natives.
Artificial intelligence (AI) represents a technological upheaval with the potential to transform human society and is increasingly viewed by states and international organizations as an area of strategic importance.
The impact of Artificial Intelligence (AI) on society raises inherently normative questions, which call for political answers. In democratic societies, the goals and means of AI governance should be identified and decided upon collectively by those who are affected by AI technology, yet what this entails is currently undertheorized.
What happens when your friend also becomes your customer? Today, social media often serves as a platform for business activities. This project explores how trust is built, and how it impacts social and commercial behaviour.
Many existing digital applications leverage machine learning algorithms to improve their solutions. This project explores how these algorithms can also help understand user behaviour in virtual reality environments to design more effective systems.
The U-Train project addresses the needs regarding design and delivery of online courses during wartime and after, as a part of reconstructing the higher education sector in Ukraine. The project engages teachers from Ukrainian universities to complete pedagogical training which is hard to accomplish in the turmoil of war.
Despite a strong emphasis on person-centered care in social service provision, scientific knowledge is limited regarding the actual impact and how these goals can be realized.
Video Remote Interpreting (VRI): A study on Cognitive Load in Simultaneous and Dialogue Interpreting via video and interpreters' attitudes towards VRI in Sweden
PhD Project that is a part of the Maria Skłodowska-Curie Action project visuAAL - Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living.
PhD Project that is a part of the Maria Skłodowska-Curie Action project visuAAL - Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living.
This project deals with development and research about virtual cases for learning, training and assessment. The virtual cases can be used in various domains like medicine, nursing, psychiatry, psychology, teacher education, special needs education, law and social care.
This project investigates the potential of using virtual patient cases to train healthcare professionals. The aim is to discover and manage intimate partner violence.
Recent developments in AI affect us in many ways, also in higher education. The research project "WASP-ED work area 4: Pedagogical development and learning analytics" is a part of the national WASP-ED program which aims to increase AI capability and capacity in Sweden.
The e-SHARE project explores electronic identification for patient centric e-health services, specifically in Brazil. They are compared and contrasted with similar services in Sweden and Europe in general.
The Data Science Research Group focuses on core data science research, as well as on applications where data science can provide insights for decision making. We formulate novel data science problems and develop algorithmic methods and methodological workflows.
The ongoing digital transformation affects us all. For organizations, investing in digital technologies opens up new opportunities for value creation. We are interested in how their performance and culture change because of digital transformation.
Technological advances allow both humans and things to be more connected and exchange information. Our research focuses on how we can participate in real and virtual societies, with regards to application areas such as culture, transport, intelligent vehicles and e-health.
All over the world, organizations are looking to perform better and gain competitive advantage by using IT and digital technologies. The IT Management and Governance group studies how to manage and govern IT and digital investments to support digital transformation.
Interfler is one of the regular research groups in the section Swedish and Scandinavian Languages in the Department of Swedish and Multilingualism. The group consists of researchers with interests in interaction and multilingualism, both in everyday life and different public domains such as education and working life.
The Learning Analytics and AI for Education Group does research on how data-driven methods (learning analytics) can be used to understand and strengthen education. We also study the application of AI technology in educational contexts.
The Natural Language Processing Research Group develops, applies and evaluates NLP methods, in particular involving large language models, across various domains. We focus on topics such as privacy, explainability, and domain adaptation.
PRECIS research group deals with theories, methods and tools for analysis and design of organizational and IT solutions in congruence. The group’s research covers three key topics – Enterprise Modelling, Business Process Management, and Conceptual Modelling.
The global warming is not uniformly distributed over the Earth. The polar regions are especially sensitive for climate change and the warming in the Arctic is more than twice as fast as for the Earth on average. The effects of this warming are large, with a dramatic loss of sea ice as an example.
We investigate cognition and processes in interpreting, subtitling and translation. This involves studying advanced language use, the brain, executive functions, and cognitive and social processes in interpreting and translation.
The STIR group brings together a mix of technologists and social scientists. Together, we research and build new digital technologies. Our work is situated within the Human–Computer Interaction field.