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Performing analytics on human behavior can bring new value propositions and business opportunities, but the challenge is to do it while respecting the privacy of individuals and complying with GDPR (rec. 26 and 162). Our research enables companies' cooperation around data, breaks data silos, and opens data insights that otherwise would have remained closed! We have developed a technology for creating privacy-preserving analytics based on the mathematical notion of Di􀃠erential Privacy. Privacy-preserving analytics can facilitate public access to information (SDG 16), identify tendencies on consumptions and productions (SDG 12), and plan for a better use of cities’ resources (SDG 11)

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