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.

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.

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.

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.

How is ethics enacted and shaped through movement-based interaction between humans and autonomous systems?

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.

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.

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.

This project will produce a large-scale qualitative study of Natural Cycles, the first algorithmic contraceptive method on the market.

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.

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.

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.

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.

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.

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 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. 

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.