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February Newsletter

With our very first newsletter, we are introducing our new MAMMOth website!

Official Kick-Off @ Thessaloniki.

We are Live!!!

This has been in the works for weeks and the launch date is finally here! We welcome visitors with featured content focused on multi-discrimination mitigation for tabular networks and multi-modal data in AI systems. For more updated content, please visit our website here.

Other Important News

Congratulations Fariba!

Fariba Karimi wins DPG Young Scientist Award 2023-02-01 ALGORITHMS AND COMPLEXITY AI Assistant professor Fariba Karimi receives the prestigious socio- and econophysics prize for her efforts in researching inequality in complex networks. Fariba Karimi joined TU Wien Informatics in January 2023 as a tenure track assistant professor of Complexity Science for Societal Good in the new Research Unit for Data Science. In collaboration with the Complexity Science Hub Vienna, where she is leading a team on Computational Social Sciences, Fariba Karimi is focussing on network inequality and bias in AI systems.

There’s one reason not to be excited about AI: it lacks emotional intelligence, empathy, morality, compassion, and integrity. Read more by Lucy Avraamidou

Piloting with migrants the materials of the Erasmus+ Project Culture and Art for Restorative Justice
Since 2005, IASIS NGO has been dedicated to social inclusion through involvement in a plethora of projects, including the Culture and Art for Restorative Justice. This uses the power of art and restorative justice to increase cultural awareness and thus contribute to the successful integration of migrant communities.

This is why IASIS representatives conducted a workshop with unaccompanied youth on 2/2/2023 at Evropaikis Ekfrasis’ facilities in Athens to pilot the materials developed within the program. To ensure the material is culturally sensitive and appropriate for the target audience, as well as to gather feedback from migrants during the piloting process, and to make any necessary adjustments, it was absolutely critical to include them in the process. The valuable feedback that trainers received will guide their next steps. If you want to learn more about the project and its results, please visit the website:

?For more updated content regarding Multi-Attribute, Multimodal Bias Mitigation in AI Systems, please visit our homepage & social media platforms: