Discover the research at Stockholm University through our pages for research subjects, projects and research groups!
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Showing 1-20 of 43 results
Machine learning could contribute enormously is identifying small potentially toxic chemicals from big data acquired from the analysis of recycled materials with LC/ESI/HRMS.
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.
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.
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.
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.
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
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.
Stockholm University is participating in a three-year project with the City of Gothenburg's Preschool Administration to investigate how artificial intelligence (AI) can be used in preschool leadership and administration.
Consequences of new digital systems in the Swedish social services.
The CHAI project explores how internet-based CBT for social anxiety can be enhanced with artificial intelligence (AI). We compare feedback from human therapists and AI to examine its impact on both outcomes and the therapeutic alliance. The goal is to make effective treatment accessible to more people while preserving the support that patients need.
This project develops a conceptual framework that supports the design of military C2-systems, and facilitates the integration of emerging technologies, such as AI. C2-systems operate in a context where technology, people and organisations interact to coordinate effects across multiple domains.
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.
We study ultracold systems with long-ranged and light-mediated interactions to discover new quantum phases with the potential to revolutionize technology and our understanding of the world at the microscopic scale.
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.
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.
Wetlands are ecosystems that provide multiple ecosystem services and promote sustainable development. They protect coasts, support biodiversity, regulate groundwater and soil moisture, mitigate floods and sequester carbon.
Transition of cities towards carbon neutrality requires an improved understanding of the interlinkages between land-use and energy planning, and of the complexity of coupled socio-ecological processes, and feedbacks in urban-regional systems.
Research Project that is a part of the national research program The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS).
This project explores how process mining can power organizational digital twins. Our aim is to enable prediction, compliance, and optimization of processes for data-driven decisions and continuous improvement.
