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In the future, #publichealth workers could monitor trends on #socialmedia to identify a rise of influenza, depression or other health issues in a specific area, thanks to research at #PNNL. “Opinions and emotions are present in every tweet, regardless of whether the user is talking about their health,” says Svitlana Volkova, a data scientist at PNNL and lead author of the study. “Like a digital heartbeat, we're finding how changes in this behavior relate to health trends in a community.” Learn more about this research at https://goo.gl/zM1YTn.
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#Cybersecurity affects us all, from simple computer viruses to complex, targeted #cyberattacks. However, few have the ability to recognize vulnerabilities in a network, implement measures to protect sensitive data, and prevent future malicious attacks. That's why PNNL created Pink Elephant Unicorn, a unique capture-the-flag event open to Lab staff, students and the public for a cyber-resilient community. Learn more here in today's Facebook Live video at https://www.facebook.com/PNNLgov/videos/10154998502334372/

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A team led by PNNL computer scientist Sutanay Choudhury developed software that detects patterns of data as data flows between computers, users and applications. Monitoring the activity within a network in real-time can allow #cybersecurity staff to detect #cyberattacks quickly, before thieves steal data or crash user systems. Now, the technology has been selected by the Department of Homeland Security’s Transition to Practice program. Read more at https://goo.gl/oUWkZb; watch our video at https://youtu.be/83kBavnfVT8.

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Analysis of big data that can reveal early signs of an Ebola outbreak or the first traces of a cyberattack requires a different kind of processor than has been developed for large-scale scientific studies. Now, the Defense Advanced Research Projects Agency (DARPA) has announced (https://goo.gl/nbphqN) a new effort to build a processor for this kind of data — and the software to run on it. A group of PNNL computer scientists will receive funding to create a software development kit for big data analysis. Learn more at https://goo.gl/6DMW1L.
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From designing aircraft and creating new anti-cancer drugs to discovering the origins of the universe, supercomputers are helping scientist take on incredibly complex problems. Despite amazing successes and astonishing advancements in #computing over the past several decades, there are still limits to what today’s most powerful computers can do. Now, PNNL scientists are working with colleagues around the world to overcome these limits and take the #supercomputer to the next level. Learn more about the Exascale Computing Project in PNNL Director Steven Ashby’s monthly column: https://goo.gl/yRbz6Y
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Analysis of #bigdata that can reveal early signs of an Ebola outbreak or the first traces of a cyberattack require a different kind of processor than has been developed for large-scale scientific studies. Now, the Defense Advanced Research Projects Agency (DARPA) has announced (https://goo.gl/nbphqN) a new effort to build a processor for this kind of data — and the software to run on it. A group of PNNL computer scientists will receive funding to create a software development kit for big data analysis. Learn more at https://goo.gl/6DMW1L.
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“How can companies assist in promoting biosecurity?” asks PNNL's Mark Greaves in a recent article in Genetic Engineering & Biotechnology News. “How can the National Laboratories help biotech companies avoid becoming unwitting participants in the creation of dangerous pathogens or toxins? What techniques can we develop to help companies encourage responsible science?” Read the full story at https://goo.gl/TyLm6S.
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A PNNL computational science researcher has been elevated to the rank of senior member in two scientific organizations. Antonino Tumeo was recognized by the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. Read more about his accomplishments at https://goo.gl/wkAbHT.
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When Shuaiwen Leon Song boots up Doom 3 or Half-life 2, he does it in the name of science. Song studies high-performance computing, with the goal of making computers smaller, faster and more energy efficient. A more powerful computer, simply put, can solve greater scientific challenges. Like modeling complex chemical reactions or monitoring the electric power grid. Read more at https://goo.gl/6UHxJM.
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Do you want to change the world for the better? Does working on research projects that are important to our nation “compute” with you? Our data scientists are tackling some of the most challenging problems facing the world—from making critical infrastructures like our power grid and natural gas systems more secure and reliable to keeping enterprise systems running for organizations and governments. Listen as our researchers share what they value most about working at PNNL https://goo.gl/ELQi9r. If we’ve piqued your interest, we’re hiring. You can view current job postings at https://goo.gl/9z7Fno
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