Computational solutions for building better teams

Our mission is to improve the way people work together through technology.
We research computational solutions that facilitate, optimize and scale teamwork in various settings, including innovation, education, crowdsourcing, and business.
Our approach is interdisciplinary combining insights from computational sciences, social sciences, and the humanities. 

Team formation algorithms

Designing algorithms that help decision-makers build better teams, in terms of performance, member well-being, and sustainability.​

Self-organized teams and human agency over AI teamwork decisions

Developing AI that gives users control over teamwork processes while ensuring performance.

Novel forms of collaboration

Researching the new generation of collaborative systems, using paradigms such as platform work and crowdsourcing.

Collaborative innovation

Creating tools that strengthen the innovation capacity of teams and help them think better outside the box. We focus on tasks that are creative, ill-structured, and open-ended.

Human-AI collaboration

Exploring mixed human-AI teams and the role that AI can play in augmenting human collaborative capabilities.

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