
PREDICTIONTECHNOLOGY.UCLA.EDU
UC Institute for Prediction Technology – UC Institute for Prediction TechnologyUC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/
UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/
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UC Institute for Prediction Technology – UC Institute for Prediction Technology | predictiontechnology.ucla.edu Reviews
https://predictiontechnology.ucla.edu
UC Institute for Prediction Technology
In the News – UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/news
UC Institute for Prediction Technology. UC Institute for Prediction Technology. 3/3/2017) How social media could help combat sexual assault. National Public Radio (NPR). 9/16/2016) Yes, people really are driving while playing Pokemon Go. 7/30/2016) Using Twitter to monitor HIV transmission. 7/25/2016) How Grindr got men to self-test for HIV. New York) Audio report. BBC World Service Radio. 7/20/2016) Researchers think Facebook could help prevent opioid abuse. Southern California Public Radio. 10/31/2014)...
Poverty – UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/poverty
UC Institute for Prediction Technology. UC Institute for Prediction Technology. Reducing poverty is a daunting and multifaceted challenge, both at home and abroad. For example, long-term unemployment has been a particularly difficult problem to address in the United States. Although there has been strong job growth from the depths of the recession, long-term unemployment remains at historically high levels. UC Institute for Prediction Technology. Middot; Designed by. Middot; Powered by.
Health – UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/health
UC Institute for Prediction Technology. UC Institute for Prediction Technology. Misinformation regarding the health effects of vaccinations has caused fear to spread throughout communities in the U.S., leading to the rebirth of previously eradicated diseases such as Measles. UC Institute for Prediction Technology. Middot; Designed by. Middot; Powered by.
Politics – UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/politics
UC Institute for Prediction Technology. UC Institute for Prediction Technology. Gauging voter turnout and voter behavior is difficult to do, yet can have consequences for politicians and public on what voter issues are most significant at any given time. Tweets, hashtags, searcy query data and even what type of car an individual owns can all be used to predict voting preference and even polling outcomes. UC Institute for Prediction Technology. Middot; Designed by. Middot; Powered by.
Predicting HIV – UC Institute for Prediction Technology
http://predictiontechnology.ucla.edu/hiv
UC Institute for Prediction Technology. UC Institute for Prediction Technology. We then merged these tweets with county-level data on HIV cases (from AIDSVu.org) to run statistical prediction models. We found a significant, positive correlation between county-level HIV prevalence and real-time communication about HIV-risk behaviors and drug use. Overlay of county-level data. 2014; 63: 112 115. Young SD. Behavioral insights on big data: using social media for predicting biomedical outcomes.
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UCLA Center for Digital Behavior
https://digitalbehavior.ucla.edu/events
UCLA Center for Digital Behavior. Between the Tweets: Using Social Media for Social Good. Innovation SoCal and the Stanford Ideas and Connections Network. Tuesday, June 30, 2015 from 7:00 PM to 9:00 PM (PDT). Los Angeles (Brentwood), CA. A Joint Conversation Event. With the Stanford Ideas and Connections Network. So says our speaker this month, Dr. Sean Young. A frequent contributor to our monthly conversations and Founder/Director of the University of California Institute of Predictive Technology. For t...
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UC Institute for Prediction Technology – UC Institute for Prediction Technology
UC Institute for Prediction Technology. UC Institute for Prediction Technology. The number of Twitter tweets suggestive of HIV risk behaviors predicts the number of HIV cases at the county level. Social Media Will Help Predict Crime. In a New York Times article, Dr. Sean Young explains how predictive technology can be used to reduce or even prevent crime. New Q&A series focused on social media and current UCIPT projects. Read more ». Read more ». Read more ». Read more ». Read more ». Read more ».
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