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is funded by the Carlsberg Foundation and draws on evidence from some of the most far-reaching police centralization and decentralization reforms to date. We are already underway in obtaining access
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models (differential and integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We
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privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are interested in privacy-preserving
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multirobot perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with
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multirobot perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with
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technological action intersect and how movement infrastructures are reconfigured in a context where state surveillance and surveillance capitalism coalesce. By decentring the digital in our concept of technology
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most far-reaching police centralization and decentralization reforms to date. We are already underway in obtaining access to data from a nationwide annual safety survey administered by the Swedish Crime
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. Within privacy, we are interested in different types of privacy measures and models (differential and integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and