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Researcher of the Month: Sabrina Kirrane

 (10/05/20)

Data misuse and misinformation are key problems associated with the use of the internet today. As part of the PENNI project (Policy Enabled Next generation Internet), WU Senior Assistant Professor Sabrina Kirrane is working to build a new, decentralized internet that is based on transparency and allows users to keep more control over their data. Computer scientist Sabrina Kirrane is WU's Researcher of the Month October. [more...]

Online 360-degree Video Workshop (SEPA360)

 (10/04/20)

This week (8th-10th September 2020) the partners of the SEPA360 project successfully held their second Learning and Teaching Training Event (LTTE) online, due to the ongoing pandemic crisis (Covid-19). The initial event was planned to be hosted in Thessaloniki, Greece and would have brought together over 30 digital champions from interdisciplinary backgrounds in higher education. Even though the SEPA360 team transitioned the complete workshop into an online mode more than 25 digital champions were able to join the 3-day workshop and participate in breakout sessions. [more...]

Explainable AI: The human centricity challenge

 (05/06/20)

Check out the recent talk on Human-centric AI challenges and opportunities by Sabrina Kirrane, which was presented as part of the AI & Policy track of the 2020 Applied Machine Learning Days Conference. In the talk Sabrina argues that applications that are able to understand constraints (in the form of goals, preferences, norms and usage restrictions), together with trust and transparency mechanisms, will give citizens more control over how their data is utilised, and will foster trustworthiness in the respective systems.

Applied ML Days Track Info: AI Policy | Youtube Video of the Talk

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The Institute for Complex Networks focuses on understanding and advancing complex networked systems. These systems, which include social networks, power grids, transportation systems, and software supply chains, are characterized by underlying network structures. To achieve this understanding, the Institute analyzes data produced by these systems and the interactions within and between networks. The ultimate goal is to improve system design and engineering practices, enhance system control and observability, ensure compliance with legal requirements, and increase resilience to attacks or failures. Essential building blocks include methods, techniques, and tools from network analysis, data science, system and software engineering, and control and governance mechanisms. The Institute has a strong track record, evident through its top-tier publications and involvement in national and EU projects. Additionally, it equips students with technical knowledge and skills for managing complex networked systems in real-world contexts.

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