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== Research interests ==
== Research interests ==
Young’s research focuses on the science behind human behavioral change. He is known for work on a range of issues related to technology, including how to use [[social media]] in behavioral change interventions,<ref>{{Cite web|title = What You Need To Know Before You Meet Your Grindr Date|url = http://www.huffingtonpost.com/2014/06/12/grindr-sti-risk-gay-men_n_5489230.html|website = The Huffington Post|access-date = 2016-02-02}}</ref><ref>{{Cite web|title = Study: Twitter could be used to track spread of HIV|url = http://www.cbsnews.com/news/study-twitter-could-be-used-to-track-spread-of-hiv/|website = www.cbsnews.com|access-date = 2016-02-02}}</ref> how social technologies can predict behavior,<ref>{{Cite web|title = HIV in the Internet Age {{!}} The Scientist Magazine®|url = http://www.the-scientist.com/?articles.view/articleNo/42784/title/HIV-in-the-Internet-Age/|website = The Scientist|access-date = 2016-02-02}}</ref><ref>{{Cite web|title = Analysis: Social Media Can Help Curb the Spread of HIV|url = http://www.healthcare-informatics.com/news-item/analysis-social-media-can-help-curb-spread-hiv|website = www.healthcare-informatics.com|access-date = 2016-02-02}}</ref> [[Wearable technology|wearable sensors]],<ref>{{Cite web|title = Band Aids - Smashd - Tech {{!}} Culture {{!}} Hustle|url = http://smashd.co/band-aids/|website = Smashd - Tech {{!}} Culture {{!}} Hustle|access-date = 2016-02-02|language = en-US}}</ref> and the relationship between online and offline behavior.<ref>{{Cite web|title = Study: Social networks facilitate homeless youth sex|url = http://www.cnet.com/news/study-social-networks-facilitate-homeless-youth-sex/|website = CNET|access-date = 2016-02-02}}</ref>
Young’s research focuses on the science behind human behavioral change. He is known for work on a range of issues related to technology, including how to implement [[social media]] in behavioral change interventions,<ref>{{Cite web|title = What you need to know before you meet your Grindr date|url = http://www.huffingtonpost.com/2014/06/12/grindr-sti-risk-gay-men_n_5489230.html|website = The Huffington Post|access-date = 2016-02-02}}</ref><ref>{{Cite web|title = Study: Twitter could be used to track spread of HIV|url = http://www.cbsnews.com/news/study-twitter-could-be-used-to-track-spread-of-hiv/|website = CBS News|access-date = 2016-02-02}}</ref> how social technologies can predict behavior,<ref>{{Cite web|title = HIV in the internet age|url = http://www.the-scientist.com/?articles.view/articleNo/42784/title/HIV-in-the-Internet-Age/|website = The Scientist|access-date = 2016-02-02}}</ref><ref>{{Cite web|title = Analysis: social media can help curb the spread of HIV|url = http://www.healthcare-informatics.com/news-item/analysis-social-media-can-help-curb-spread-hiv|website = Healthcare Informatics|access-date = 2016-02-02}}</ref> [[Wearable technology|wearable sensors]],<ref>{{Cite web|title = Band Aids: Are fitness trackers really moving human health forward?|url = http://smashd.co/band-aids/|website = Smashd|access-date = 2016-02-02|language = en-US}}</ref> and the relationship between online and offline behavior.<ref>{{Cite web|title = Study: social networks facilitate homeless youth sex|url = http://www.cnet.com/news/study-social-networks-facilitate-homeless-youth-sex/|website = CNET|access-date = 2016-02-02}}</ref> He has received grants to study how [[social media]] and mobile technologies can be used to predict and change behaviors in the areas of health and medicine, consumer behavior, crime,<ref>{{Cite news|title = Can crime be ethically predicted?|url = http://www.nytimes.com/roomfordebate/2015/11/18/can-predictive-policing-be-ethical-and-effective/social-media-will-help-predict-crime|newspaper = The New York Times|access-date = 2016-01-27|issn = 0362-4331}}</ref> and [[cybersecurity]].


Young has implemented social technologies to address issues related to [[HIV]], drug use prevention, and how to get people to repeat healthy behaviors (e.g., adhere to medication and exercise routines). He has conducted studies in the United States, Peru, and South Africa, and among homeless youth, African American and Latino [[men who have sex with men]],<ref>{{Cite web|title = HIV in the Internet Age {{!}} The Scientist Magazine®|url = http://www.the-scientist.com/?articles.view/articleNo/42784/title/HIV-in-the-Internet-Age/|website = The Scientist|access-date = 2016-01-27}}</ref> and undergraduate students.
Young has implemented social technologies to address issues related to [[HIV]],<ref>{{Cite web|title = Combining social media and behavioral psychology could lead to more HIV testing|url = http://www.infectioncontroltoday.com/news/2014/12/combining-social-media-and-behavioral-psychology-could-lead-to-more-hiv-testing.aspx|website = Infection Control Today|date = 2014-12-17|access-date = 2016-02-02|language = en-US}}</ref> drug use prevention, and how to get people to repeat healthy behaviors (e.g., adhere to a medication regimen or exercise routine). He has conducted studies in the United States, Peru, and South Africa, and among homeless youth, undergraduate students, and African American and Latino [[men who have sex with men]].


⚫
In addition to his research on social networks, Dr. Young has become known for studies of how real-time data can be used to monitor disease and substance use–related behaviors.<ref>{{Cite web|title = Using social media to better understand, prevent, and treat substance use|url = http://www.nih.gov/news-events/news-releases/using-social-media-better-understand-prevent-treat-substance-use|website = National Institutes of Health (NIH)|access-date = 2016-02-02}}</ref> His work in this area focuses on media-sharing websites designed to evaluate people’s activities, intentions, and social interactions. Insight from the resulting body of data (“social [[big data]]”) is used to understand how people think and act in a variety of situations.
He has received grants to study how [[social media]] and mobile technologies can be used to predict and change behaviors in the areas of health and medicine, consumer behavior, crime,<ref>{{Cite news|title = Can Crime Be Ethically Predicted?|url = http://www.nytimes.com/roomfordebate/2015/11/18/can-predictive-policing-be-ethical-and-effective/social-media-will-help-predict-crime|newspaper = The New York Times|access-date = 2016-01-27|issn = 0362-4331}}</ref> and [[cybersecurity]].

==== The science behind lasting behavior change ====
==== Social big data and prediction technology ====
⚫
In addition to his research on social networks, Dr. Young has become known for studies of how real-time social media can be used as a method for remote monitoring of disease and substance use–related behaviors. His work uses social networking platforms, blogging and micro-blogging hosts, and media-sharing websites to evaluate people’s activities, intentions, and social interactions. Insight from the resulting body of data (“social [[big data]]”) is used to understand what, when, why, and how people think and act.

⚫
As Executive Director of UCIPT, Dr. Young is working to develop methods and tools to analyze social big data to predict human behavior and related outcomes.<ref>{{Cite web|title = Research|url = http://predictiontechnology.ucla.edu/research/|website = UC Institute for Prediction Technology|access-date = 2016-02-01|language = en-US}}</ref> He partners with people from multiple academic fields and business sectors, with the goal of scaling software applications to a diverse range of potential use cases.


== Scientific leadership ==
== Scientific leadership ==
Dr. Young is the Founder and Executive Director of UCIPT and the UCLA CDB. These two interdisciplinary centers were formed to advance research on the use of digital and mobile technologies to understand, predict, and change human behavior. He is also the principal investigator of the HOPE UCLA, HOPE Peru, and HOPE Care studies, which aim to show the feasibility of using social media platforms to increase both HIV testing and retention in care.
Young is the Founder and Executive Director of UCIPT and the UCLA CDB.<ref>{{Cite web|title = Twitter "big data" used to monitor HIV risk, study shows|url = http://www.healthcare-informatics.com/news-item/twitter-big-data-used-monitor-hiv-risk-ucla?page=1|website = Healthcare Informatics|access-date = 2016-02-02}}</ref> These two interdisciplinary centers were formed to advance research on the use of digital and mobile technologies to understand, predict, and change human behavior. To date, they have


In 2015, Dr. Young received the UC President’s Research Catalyst Award for a multi-campus collaborative research focusing on social big data.<ref>{{Cite web|title = University of California Research Initiatives, 2015 Catalyst Award List|url = http://ucop.edu/research-initiatives/programs/catalyst-awards/2015-award-list.html|website = ucop.edu|access-date = 2016-01-27}}</ref>
He is also the principal investigator of the HOPE UCLA, HOPE Peru, and HOPE Care studies, which aim to show the feasibility of using social media platforms to increase both HIV testing and retention in care.<ref>{{Cite web|title = How Twitter can address public health needs|url = http://www.medicaldaily.com/twitter-hashtags-help-experts-better-understand-transgender-health-concerns-334560|website = Medical Daily|access-date = 2016-02-02}}</ref>

In 2015, Dr. Young received the UC President’s Research Catalyst Award for a multi-campus collaborative research focusing on social big data.<ref>{{Cite web|title = University of California Research Initiatives: 2015 Catalyst Award List|url = http://ucop.edu/research-initiatives/programs/catalyst-awards/2015-award-list.html|website = University of California|access-date = 2016-01-27}}</ref> The interdisciplinary


Dr. Young is also a public speaker and teacher. He has presented his work at forums such as the [[European Parliament]], [[mHealth]] Conference, and World Congress as well as to corporations, academic institutions, and non-profit organizations. He teaches a rotating course to UCLA undergraduates called "Hacking Global Health." From 2003 to 2007, he served as a course instructor at [[Stanford University]].
Dr. Young is also a public speaker and teacher. He has presented his work at forums such as the [[European Parliament]], [[mHealth]] Conference, and World Congress as well as to corporations, academic institutions, and non-profit organizations. He teaches a rotating course to UCLA undergraduates called "Hacking Global Health." From 2003 to 2007, he served as a course instructor at [[Stanford University]].

⚫
As Executive Director of UCIPT, Dr. Young is working to develop methods and tools to analyze social big data to predict human behavior and related outcomes.<ref>{{Cite web|title = Research|url = http://predictiontechnology.ucla.edu/research/|website = UC Institute for Prediction Technology|access-date = 2016-02-01|language = en-US}}</ref> He partners with people from multiple academic fields and business sectors, with the goal of scaling software applications to a diverse range of potential use cases.


== Selected publications ==
== Selected publications ==

Revision as of 21:24, 2 February 2016

This article is about the psychologist. For the actress, see Sean Young.

Sean Young
EducationUniversity of California, Los Angeles Stanford University
OrganizationUniversity of California, Los Angeles
Known forBehavioral psychology, Social media analysis, Prediction technology, Digital behavior analysis
TitleAssistant Professor, UCLA Department of Family Medicine; Executive Director, UCLA Center for Digital Behavior; Executive Director, UC Institute for Predictive Technology; Director of Innovation, UCLA Center for Behavioral and Addiction Medicine
Websitewww.seanyoungphd.com

Sean D. Young (born 1979) is a behavioral psychologist and assistant professor with the University of California, Los Angeles (UCLA). He serves as the Executive Director of the University of California Institute for Predictive Technology (UCIPT) and the UCLA Center for Digital Behavior (CDB).

Background

 Young received his undergraduate degree in Ethnomusicology from UCLA, and his master’s degree in Health Services Research and PhD in Psychology from Stanford University. Prior to joining UCLA as a postdoctoral fellow in 2008, Young worked in technology and user behavior/human factors at the NASA Ames Research Center and Cisco Systems. Since 2011, he has been an assistant professor-in-residence with the UCLA Department of Family Medicine.

Research interests

Young’s research focuses on the science behind human behavioral change. He is known for work on a range of issues related to technology, including how to implement social media in behavioral change interventions,[1][2] how social technologies can predict behavior,[3][4] wearable sensors,[5] and the relationship between online and offline behavior.[6] He has received grants to study how social media and mobile technologies can be used to predict and change behaviors in the areas of health and medicine, consumer behavior, crime,[7] and cybersecurity.

Young has implemented social technologies to address issues related to HIV,[8] drug use prevention, and how to get people to repeat healthy behaviors (e.g., adhere to a medication regimen or exercise routine). He has conducted studies in the United States, Peru, and South Africa, and among homeless youth, undergraduate students, and African American and Latino men who have sex with men.

In addition to his research on social networks, Dr. Young has become known for studies of how real-time data can be used to monitor disease and substance use–related behaviors.[9] His work in this area focuses on media-sharing websites designed to evaluate people’s activities, intentions, and social interactions. Insight from the resulting body of data (“social big data”) is used to understand how people think and act in a variety of situations.

Scientific leadership

Young is the Founder and Executive Director of UCIPT and the UCLA CDB.[10] These two interdisciplinary centers were formed to advance research on the use of digital and mobile technologies to understand, predict, and change human behavior. To date, they have

He is also the principal investigator of the HOPE UCLA, HOPE Peru, and HOPE Care studies, which aim to show the feasibility of using social media platforms to increase both HIV testing and retention in care.[11]

In 2015, Dr. Young received the UC President’s Research Catalyst Award for a multi-campus collaborative research focusing on social big data.[12] The interdisciplinary

Dr. Young is also a public speaker and teacher. He has presented his work at forums such as the European Parliament, mHealth Conference, and World Congress as well as to corporations, academic institutions, and non-profit organizations. He teaches a rotating course to UCLA undergraduates called "Hacking Global Health." From 2003 to 2007, he served as a course instructor at Stanford University.

As Executive Director of UCIPT, Dr. Young is working to develop methods and tools to analyze social big data to predict human behavior and related outcomes.[13] He partners with people from multiple academic fields and business sectors, with the goal of scaling software applications to a diverse range of potential use cases.

Selected publications

Use of big data for health and behavioral prediction

Use of social networking and online communities to improve health behaviors

Global health studies

General behavior change, health, and social media studies

Guidelines for how to use technologies in healthcare and for behavior change

Community-based participatory research

Appointments

Awards

  • Ruth L. Kirschstein National Research Service Award
  • Stanford University Social E-challenge Competition Winner
  • Best Paper award at IEEE Virtual Reality
  • Network for AIDS Research in Los Angeles (NARLA) Seed Grant, Principal Investigator
  • UCLA AIDS Institute HIV Prevention Seed Grant
  • UCLA CHIPTS Award for HIV prevention with innovative mobile technologies
  • NIMH K01: Using online social networks for HIV prevention in African-American and Latino MSM
  • UCLA Health System Appreciation Award for Excellence
  • mHealth Training Award
  • Fordham Ethics Award in HIV prevention

References

  1. ^ "What you need to know before you meet your Grindr date". The Huffington Post. Retrieved 2016-02-02.
  2. ^ "Study: Twitter could be used to track spread of HIV". CBS News. Retrieved 2016-02-02.
  3. ^ "HIV in the internet age". The Scientist. Retrieved 2016-02-02.
  4. ^ "Analysis: social media can help curb the spread of HIV". Healthcare Informatics. Retrieved 2016-02-02.
  5. ^ "Band Aids: Are fitness trackers really moving human health forward?". Smashd. Retrieved 2016-02-02.
  6. ^ "Study: social networks facilitate homeless youth sex". CNET. Retrieved 2016-02-02.
  7. ^ "Can crime be ethically predicted?". The New York Times. ISSN 0362-4331. Retrieved 2016-01-27.
  8. ^ "Combining social media and behavioral psychology could lead to more HIV testing". Infection Control Today. 2014-12-17. Retrieved 2016-02-02.
  9. ^ "Using social media to better understand, prevent, and treat substance use". National Institutes of Health (NIH). Retrieved 2016-02-02.
  10. ^ "Twitter "big data" used to monitor HIV risk, study shows". Healthcare Informatics. Retrieved 2016-02-02.
  11. ^ "How Twitter can address public health needs". Medical Daily. Retrieved 2016-02-02.
  12. ^ "University of California Research Initiatives: 2015 Catalyst Award List". University of California. Retrieved 2016-01-27.
  13. ^ "Research". UC Institute for Prediction Technology. Retrieved 2016-02-01.
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