Discover the research at Stockholm University through our pages for research subjects, projects and research groups!
They also lead you to our researchers profile pages, our departments and courses and programmes.
Showing 41-60 of 2793 results
The project produces valuable knowledge of why gendered patterns in paid work, care and housework remain. We highlight processes behind working parents’ division of work, as well as the importance of demands and expectations in work life and family life for parents’ choices and priorities.
The notion that our societies are progressing towards a brighter future has long been taken for granted. However, recent studies suggest that people in many rich countries – including Sweden– are rather pessimistic about the future of their countries. This project aims to examine both the causes and consequences of lacking social optimism.
Aiming to connect researchers and stakeholders from high-income and low- and middle-income countries in Sub-Saharan Africa to exchange ideas and challenges for point-of-care diagnostics of maternal and neonatal infection.
The research is performed in the coastal areas of the Baltic Sea.
The school in Sweden is supposed to be equal, but where children and young people live and which school they attend has become of decisive importance for their opportunities to reach the national knowledge requirements. Two schools that break this pattern piqued the researchers' curiosity.
Sea spray aerosols are ubiquitous over much of the Earth's surface and are especially important in remote regions with few other aerosol sources. As such, they may have a pronounced impact on climate through direct and indirect effects on the radiation budget.
In Sweden the rates of poverty among people over the age of 65 are highest in rural areas, and the majority of poor elders are women. This project aims to explore how it is to age as a woman in rural Sweden.
Consequences of the de-institutionalisation of Swedish elder care for older people and their family members
This research program addresses long-term change in relation to ageing at the societal level as well as applying a life-course perspective on ageing as seen from the individual level.
Most migrants rely on the services of some form of migration intermediary to organise different stages of their migration. They do so because international mobility and migration involve navigating increasingly complex border and mobility regimes.
Theories of natural resource management and conservation, such as adaptive management and adaptive co-management, are based on strong but mostly untested assumptions about the importance of engaging local stakeholders in conservation and management efforts.
In spatial planning, new strategic planning practices have appeared in the form of contractual policies and accompanying agreement-based arrangements between state and local governments (public-public partnerships) at the city-regional level.
Artificial intelligence is reshaping politics – affecting everything from the circulation of information on media platforms to the ways institutions make decisions.
Everywhere we go, we leave digital traces. These massive amounts of data can be extracted, analysed, and used to make better decisions in health care, traffic monitoring and many other important areas. AI is the key.
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.
AIDA – Attention and decision making children and adolescents with developmental psychiatric conditions – examine decision-making and attention in children with developmental psychiatric conditions, particularly depression, autism, and ADHD.
How can AI enable business process transformation in the insurance domain? We will investigate this by combining Stockholm University’s expertise in business process management and digital transformation with If Insurance’s role as the largest insurance provider in the Nordic region.
We develop digital twins of buildings, patients and healthcare processes, and study how AI can improve their capabilities. We focus on twins that are explainable and support safe decisions, from reducing energy use to improving clinical care.
In collaboration with SAP, this project investigates how AI and object-centric process mining can support enterprise business processes analysis and management. The results are of importance for all organizations looking to improve their efficiency and decision-making.
This project aims to make AI fair, transparent, and just, ensuring it benefits everyone in society. By addressing biases in healthcare and education, we’re working to build AI systems that serve society equitably and responsibly.
