Activities and opportunities

Engagement with UMU's Faculty of Medicine's Council for AI and Autonomous Systems

Organizing the workshop titled "Computational models for enhanced crisis preparedness", Lorentz workshop

Join us

Organizing the workshop on Technical and non-technical aspects of modelling human decisions, Social Simulation Conference

Join us

Organizing the workshop on socially aware AI for psychology research and practice, Umeå University, Sweden

Organizing the workshop on socially aware AI for critical theory and equal opportunities research and practice, Umeå University, Sweden

Leading the Special Interest Group on Models of Human Decision (SIG-MOOD)

Join us!

TAIGA funded a 100.000 SEK project for developing SAI research capacity in Umeå!

The project TESSIM4City, crossing researchers from computing science, physics, energy, epidemiology, communication, together with collaborators from Umeå city council has been funded. This project will focus on developing social and energy simulations for supporting the sustainable development of the Tomtebo strand.

Link to the call

The SAI focus area provided strategic expertise on the impact of AI on UMU's research

Umeå's leadership (head of departments, dean, rector) invited the SAI focus area to discuss how AI is impacting our research activities and how to pivot towards unfolding our transdisciplinary AI potential.

Part of the coordination team of the special interest group on Building ResIllienCe with Social Simulations

Join us!

Social AI selected experts regularly present in the frAIday seminar series.

Interested in participating? Contact us!

A 85.000 SEK project funding for research on sustainability

Link to the call

Want to hear about TAIGA?
We will participate in the Human Agent Interaction conference (MULTITTRUST workshop, AI for humans and with humans workshop, presentation in the main conference)

We introduced how TAIGA can facilitate transdisciplinary collaborations and applied it to identify what research and researchers work on the topic of trust in human-AI teaming at UMU

We presented how TAIGA works for facilitating transdisciplinary research for the good of all.

The mission of WASP Research Arena for Media and Language (WARA M&L) is to build a multidisciplinary ecosystem around Media AI, connecting scientific fields and a diversity of industrial segments.

Registration to the workshop

This workshop will gather all (known) contributors to social AI research in Umeå who want to continue in this research direction.

Contact us if you want to be invited

Want your science to be discussed with other disciplines and sectors?
Here is the form to make yourself visible!

A unique opportunity to develop social AI research within Umeå University

The successful candidate is expected to contribute to research in SAAI by developing multi-agent systems in which the agents are influenced by norms and other social rules, while learning from their experience using these social concepts and thus also slowly shaping new norms and conventions. The theoretical foundations will be based on existing work from our group, but especially the interaction between learning behaviour and social rules is to be explored. In order to test the usability of the developed models we aim to have at least one use case related to social simulation for policy making. 

eSSENCE@LU invites proposals for new projects. Applicants may request 2 years of funding, starting 1 January 2024. We anticipate being able to fund at least five grants with a maximum of 600 kSEK/year (including overhead). The funding could be used, for example, for part-financing a PhD student or a post-doc in Lund. The deadline is Friday 13 October.

The research theme of the selected projects should involve e-Science method development with a connection to computational or data-driven applications, which may be with a scientific problem in mind or for generic use (many possible applications). Collaboration between different groups is necessary for a successful proposal.

More details and instructions how to apply, can be found in the attached document. The call has also been announced as a news item on the compile web site, https://www.compile.lu.se/, which includes a list of FAQs and may be updated with new ones, so it is a good idea to check the announcement web page.

A unique opportunity to develop social AI research and education within Umeå University

Your duties include research in the field of socially aware artificial intelligence (e.g. social simulations), teaching in cognitive science, AI and basic computer science; supervision at undergraduate, graduate and doctoral level. Administrative and management assignments within Umeå University may also be part of your tasks. You are expected to actively participate in the national and international social simulation community, take part in the social AI research area in TAIGA and actively develop the transdisciplinary AI research in Umeå.

A listing of all publications and active publishing contributors to social AI research at Umeå has been produced. These are our in-house experts, get to know them in our people's page.

A unique opportunity to engage in social AI research and become a doctor within Umeå University

We will investigate the way institutions emerge and are maintained and how they influence the collective decisions under societal threats such as climate change. We will study this phenomenon from a sociological, psychological and social simulation perspective.

The aim of this position is to develop an agent-based social simulation based on a solid theoretical foundation of social concepts to study institutional developments from a psychological perspective. The theoretical foundations will be based on existing work from our group (https://www.umu.se/en/staff/frank-dignum/), but will link to social psychological theories and social theories. We will link social simulations with large-scale on-line social psychological experiments and social media analysis.

Prof. Alessandro Vinciarelli presented us the Social AI laboratory he leads in Glasgow, The UK, including the extensive expertise and resources of this laboratory on recognizing social context as well as extensive psychology-computer-science collaborations grown internally.

The overarching goal of Social AI  is to train the next generation of experts in Artificial Social Intelligence; the AI domain aimed at endowing artificial agents with social intelligence, the ability to deal appropriately with users’ attitudes intentions, feelings, personality and expectations.

Special track at the social simulation conference on making human-like social AI models.

Submit there (deadline 12 may 2023)! Join the conference!

Special track at the social simulation conference on making social AI models of societies facing crises.

Submit there (deadline 12 may 2023)! Join the conference!

International Workshop on Interdisciplinary Design of Emotion-sensitive Artificial Intelligence
A workshop entirely dedicated to bringing disciplines together for the development of socially-sensitive AI systems

The event is finished. Thank to the excellent participants who contributed with their papers and discussion!

Submit there (deadline 24 february 2023)! Join the workshop!

Want to learn to do transdisciplinary AI research? Join us at the TAIGAthon, a hands-on no-code hackathon for developing new ideas on AI for the good of all

Want to learn about transdisciplinary AI research, reach out the community and shape directions for the focus area? This is the place to meet with the community!