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The Download - Tech Talks

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Watch Recording / View Slides - After the live broadcast

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Guest Speakers and subjects: 

  1. Jayashree Ukkinagatti, Rashtreeya Vidyalaya College of Engineering, India
    Set up Automatic Builds for the continuous integration of ECL queries stored in GIT using Jenkins

    Software developers work in an isolated team. If they need to integrate their changes with different code base, waiting for days to integrate their code may create many merge conflicts , may get hard to fix the bugs or may lead to duplicate efforts. In this presentation, Jayashree will speak about the setting up of automatic builds to integrate ECL queries stored in Git using the Jenkins deployment pipeline techniques, when the pull request is made on additions or changes to ECL queries stored in Git.

    Jayashree Ukkinagatti is a second Year M.Tech (CS&E) student studying at the R.V. College of Engineering, India. She pursued her B.E. from Visvesvaraya Technological University, Karnataka, India. Her interest lie in continuous integration and continuous deployment for Big data Analysis.


  2. Nicole Navarro, New College of Florida
    Measuring the geo social distribution of Opioid Prescriptions

    Drug overdose was the leading cause of accidental death in the US in 2015, and the number of drug overdoses involving opioids in 2016 was 42,249 – an increase of 18% per year since 2014. For my project I utilized the open source HPCC Systems capabilities around knowledge engineering to create data features and interactive visualizations. These were designed to allow research into Drug Socialization across social groups and geographical regions with a focus on opioid prescription rates. 

    Drug Socialization is used to measure drug diversion within organized social groups. This behavior is concerning because it can be indicative of prescription resale to drug dealers in a community, or drug seeking social groups in which drugs are being supplied to friends or family. This project was designed to broaden the understanding of potential diversion behavior across geographic regions and social groups. The main goal was to generate new features to help create interactive visualization tools that can be used to isolate communities and social groups containing both high social interconnectedness and high opiate prescription rates. These groups could then be considered for potential intervention or disruption through a combination of treatment programs or provider education.


     


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