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.

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 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.

The focus of this project is on sustainable development of chemical reagents for detection of glyphosate.

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.

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.

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

FORCeS - Constrained aerosol forcing for improved climate projections

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.

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.

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 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.

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.

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.

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.

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.

Using precision neuroimaging to study brain function associated with socioemotional perception is an unexplored territory today that has the potential to dramatically increase our understanding of how the "emotional brain" works.

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. 

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.

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.

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.

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.