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3rd HLF - Hot Topic Presentations - Brave New Data World: Saving lives through Data Interoperability

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3rd HLF - Hot Topic Presentations - Brave New Data World: Saving lives through Data Interoperability
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5
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No Open Access License:
German copyright law applies. This film may be used for your own use but it may not be distributed via the internet or passed on to external parties.
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Kristin Tolle (Microsoft Research Outreach) Saving Lives through Data Interoperability “With the availability of open data comes the responsibility for using it in a way that is consistent with individual privacy and security concerns. Often times it is data interoperability that enables privacy breaches — that an innocuous dataset can be combined with others to triangulate information about groups and individuals. However, this same capability is extremely valuable when lives and livelihoods are threatened by natural disasters. As part of the National Flood Interoperability Experiment, I’ve had a firsthand look at how data interoperability could potentially save lives. Bringing together data generated by multiple sources can aid first responders to be more proactive than reactive and potentially enable direct notification to individuals who are at greatest risk.” The opinions expressed in this video do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of the video. Background The Heidelberg Laureate Forum Foundation (HLFF) annually organizes the Heidelberg Laureate Forum (HLF), which is a networking event for mathematicians and computer scientists from all over the world. The 4th Heidelberg Laureate Forum will take place from September 18 to 23, 2016. The HLF was initiated by the German foundation Klaus Tschira Stiftung (KTS), which promotes natural sciences, mathematics and computer science, and the Heidelberg Institute for Theoretical Studies (HITS). The Forum is organized by the HLFF in cooperation with KTS and HITS as well as the Association for Computing Machinery (ACM), the International Mathematical Union (IMU), and the Norwegian Academy of Science and Letters (DNVA).