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Over the past fifteen years, Internet technology has significantly changed the landscape of public health surveillance and epidemic intelligence gathering. Disease and outbreak data is disseminated not only through formal online announcements by government agencies, but also through informal channels such as social networking sites, blogs, chat rooms, Web searches, local news media and crowdsourcing platforms. These data streams have been credited with decreasing the time between an outbreak and formal recognition of an outbreak, allowing for an expedited response to the public health threat. Collectively, these online sources create an image of global public health that is fundamentally different from the one produced by traditional public health surveillance infrastructure. In this AI for Good Health Discovery, Dr. Brownstein discusses the current capabilities and future directions in the use of the nontraditional data sources for the purposes of public health surveillance and rapid detection of emerging infectious diseases Bio: John Brownstein, PhD, is the Chief Innovation Officer at Boston Children’s Hospital. He is a global leader in HCIT and, in particular, the emerging fields of informatics and big data analytics. He runs a 50-person multi-disciplinary team focused on digital innovations that span clinicians and consumers. His group is supported by a multi-million dollar budget including grants from NIH, USAID, DoD, IARPA, CDC, Google, Skoll and Gates Foundation. His work has pioneered ‘digital epidemiology’- utilizing diverse digital data sources to understand population health. His work is published in over 150 peer-reviewed papers, all focused on new methods and applications in digital health. This work was recognized by the White House with the Presidential Early Career Award for Scientists and Engineers. He also leads the development of several novel patient facing public health systems, including HealthMap, Vaccine Finder and MedWatcher. The systems are considered premier global public health tools in use by millions of patients each year and endorsed by numerous public health agencies including CDC, WHO, DHS, DOD, HHS, and EU, and has been recognized by the National Library of Congress and the Smithsonian. In addition to research achievements, this translational impact comes from playing an advisory role to numerous agencies on real-time public health surveillance including HHS, DHS, CDC, IOM, WHO and the White House. Dr. Brownstein is a successful entrepreneur having developed new technologies, started multiple companies and outlicensed technologies. John has extensive experience establishing industry/academic partnerships, including work with Google, Twitter and Uber. As a long time (11 years) BCH employee, he is familiar with BCH and the many talented doctors, nurses and scientists here who serve as the core of our innovation engine. Join the Neural Network! Speakers: John Brownstein, Chief Innovation Officer at Boston Children’s Hospital https://aiforgood.itu.int/neural-netw... The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. Watch the latest #AIforGood videos! / aiforgood Explore more #AIforGood content: AI for Good Top Hits • Top Hits AI for Good Webinars • AI for Good Webinars AI for Good Keynotes • AI for Good Keynotes Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 Discover what's next on our programme! https://aiforgood.itu.int/programme/ Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good... Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: / itu_aiforgood LinkedIn Page: / 26511907 LinkedIn Group: / 8567748 Instagram: / aiforgood Facebook: / aiforgood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU. #AIforGoodDiscovery #AIforHealth