LeADS ITN research & educational program trains a new interdisciplinary professional figure that we call Legality Attentive Data Scientist.Funded by @MSCActions
The final edition of our #LeADS newsletter is here! 🎉
Take a look at some of the highlights from our journey and discover some of the key moments that shaped the experience of our ESRs
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📢 The journey may end, but the impact continues. Thanks to all who contributed—partners, ESRs, & our amazing community. Stay tuned as the results live on through open-access publications.
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After four years of intensive research, the LeADS project concludes in Dec 2024! With 7 beneficiaries, 7 partners across 9 European countries, & 15 Early Stage Researchers from 13 nations, we’ve tackled the challenges of a data-driven society. Let’s recap! 🧵
✈️ ESRs gained real-world insights via secondments at top institutions like @intel, @antitrust_it, @GPDP_IT, and more, ensuring their research aligned with industry and policy challenges.
We're thrilled to share Part III of our blog series showcasing insights from Early-Stage Researchers (ESRs) tackling key challenges at the intersection of law, technology, and governance.
🔹 Soumia El Mestari – ESR 15: What AI Is Stealing! Data Privacy Risks in AI. Soumia discusses how AI’s reliance on user data poses privacy risks and offers strategies to mitigate potential leaks.
These ESRs are pushing the boundaries of interdisciplinary research, addressing real-world challenges at the nexus of law, technology, and governance.
🔗 Check out the blog post here to read the full abstracts! https://t.co/fdcJoUoe5s
We are excited to share Part II of our special blog series showcasing insights from our Early-Stage Researchers (ESRs) on the intersection of law and technology! 🌐⚖️ If you missed Part I, catch up here: https://t.co/Fcp4rtZOKP
We’re excited to share a special blog post series highlighting the innovative research of our 15 ESRs tackling challenges at the intersection of law & technology! These pieces illustrate how interdisciplinary collaboration can drive meaningful progress 🧵
🔹 Maciej Zuziak – ESR 6: How to Collaboratively Use Statistical Models in a Secure Way. Maciej’s research dives into privacy, federated learning, and data governance, unraveling the complexities of decentralized learning systems. 📊🔒