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X-WR-CALNAME:Data Science Initiative
X-ORIGINAL-URL:https://datascience.uci.edu
X-WR-CALDESC:Events for Data Science Initiative
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DTSTART;TZID=America/Los_Angeles:20141107T150000
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DTSTAMP:20260518T064927
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SUMMARY:Public Health\, Personal Data
DESCRIPTION:Speakers: Kevin Patrick\, MD\, MS\, Professor\, Family and Preventive Medicine\, UC San Diego \nMatthew Bietz\, PhD\, Assistant Project Scientist\, Informatics Department\, UC Irvine\nDate: Friday\, November 7\, 2014\nTime: 3:00 p.m. – 4:15 p.m.\nLocation: 6011 Donald Bren Hall \n\n \n \nPUBLIC HEALTH\, PERSONAL DATA \nSpeakers: Kevin Patrick\, MD\, MS\, Professor\, Family and Preventive Medicine\, UC San Diego\nMatthew Bietz\, PhD\, Assistant Project Scientist\, Informatics Department\, UC Irvine\nDate: Friday\, November 7\, 2014\nTime: 3:00 p.m. – 4:15 p.m.\nLocation: 6011 Donald Bren Hall \nIndividuals are tracking a variety of health-related data via a growing number of wearable devices and smartphone apps. More and more data relevant to health are also being captured passively as people communicate with one another on social networks\, shop\, work\, or do any number of activities that leave “digital footprints.” Self-tracking data can provide better measures of everyday behavior and lifestyle and can fill in gaps in more traditional clinical or public health data collection\, giving us a more complete picture of health and human activity. In this talk\, we will discuss how new forms of personal data are transforming the ways we understand human health. Making use of personal data for the public good requires addressing a number of technical\, social\, and scientific challenges\, including developing new methods of analysis\, new mechanisms for data sharing\, and appropriate privacy and consent frameworks. We will discuss how we are addressing these challenges in our new Health Data Exploration project\, funded by the Robert Wood Johnson Foundation. \nBios: \nDr. Patrick is Professor of Family and Preventive Medicine at the University of California\, San Diego and Director of the Center for Wireless and Population Health Systems at the Qualcomm Institute/Calit2. He is Director of the Health Data Exploration project of the Robert Wood Johnson Foundation (RWJF). He served as Editor-in-Chief of the American Journal of Preventive Medicine from 1994-2013\, and has served on the Secretary’s Council for Health Promotion and Disease Prevention of the U.S. Department of Health and Human Services (HHS) and the Armed Forces Epidemiology Board. His research\, supported by the NIH\, NSF\, CDC\, and RWJF\, explores how to use mobile\, home and social technologies to measure and improve the health of individuals and populations. \nDr. Bietz (Assistant Project Scientist\, University of California\, Irvine) received his Ph.D. in Information from the University of Michigan in 2008. He is Lead Co-Investigator on the Robert Wood Johnson-funded Health Data Exploration project. He has studied collaboration\, data sharing\, and the development of cyberinfrastructure in various scientific and engineering fields including HIV/AIDS research\, genomics\, oceanography\, astronomy\, software engineering\, and planetary science. A primary research interest is understanding the negotiation and alignment work necessary to support large-scale data sharing.
URL:https://datascience.uci.edu/event/public-health-personal-data/
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20141105T160000
DTEND;TZID=America/Los_Angeles:20141105T170000
DTSTAMP:20260518T064927
CREATED:20160427T141432Z
LAST-MODIFIED:20160427T141432Z
UID:1693-1415203200-1415206800@datascience.uci.edu
SUMMARY:Robust Principal Component Analysis - Professor Emmanuel Candès
DESCRIPTION:
URL:https://datascience.uci.edu/event/robust-principal-component-analysis-professor-emmanuel-candes/
ATTACH;FMTTYPE=image/jpeg:https://datascience.uci.edu/wp-content/uploads/2014/10/CandesFlyer.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20141027T180000
DTEND;TZID=America/Los_Angeles:20141027T200000
DTSTAMP:20260518T064927
CREATED:20160427T141227Z
LAST-MODIFIED:20160427T141227Z
UID:1692-1414432800-1414440000@datascience.uci.edu
SUMMARY:Ebola: What you Should Know
DESCRIPTION:
URL:https://datascience.uci.edu/event/ebola-what-you-should-know/
ATTACH;FMTTYPE=image/jpeg:https://datascience.uci.edu/wp-content/uploads/2014/12/Andrew-Noymer_4449_cropped.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20141024T133000
DTEND;TZID=America/Los_Angeles:20141024T170000
DTSTAMP:20260518T064927
CREATED:20160427T141013Z
LAST-MODIFIED:20160427T141013Z
UID:1691-1414157400-1414170000@datascience.uci.edu
SUMMARY:Data Science Kickoff Meeting
DESCRIPTION:Please join us on the afternoon of Friday\, October 24th to learn more about the UCI Data Science Initiative. \n \nPlease join us on the afternoon of Friday\, October 24th to learn more about the UCI Data Science Initiative. \n  \n  \nDirections and parking information: visit the Calit2 website. \nAgenda and list of speakers: view the event flyer. \nThis event is free and open to the public. An RSVP is required.
URL:https://datascience.uci.edu/event/data-science-kickoff-meeting/
ATTACH;FMTTYPE=image/jpeg:https://datascience.uci.edu/wp-content/uploads/2014/09/Padhraic-Smyth-11.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20140120T090000
DTEND;TZID=America/Los_Angeles:20140120T170000
DTSTAMP:20260518T064927
CREATED:20160502T104005Z
LAST-MODIFIED:20160502T104005Z
UID:1703-1390208400-1390237200@datascience.uci.edu
SUMMARY:Introduction to Linux Short Course
DESCRIPTION:This course is for researchers who have never used Linux and/or a compute cluster and introduces concepts and best practices for both. \n\n\n\n \nDescription: \nThis course is for researchers who have never used Linux and/or a compute cluster and introduces concepts and best practices for both. \nThis course covers how to best exploit the bash shell for both interactive work and batch jobs\, moving & simple manipulation of data\, as well very short introductions to programming in bash\, Perl\, and R. This is not computer science; this is a driver’s license. \nDate: January 20th\, 2014\nTime: 9 a.m. to 5 p.m. with lunch provided\nLocation: Donald Bren Hall\, Room 3011\nInstructor: Harry Mangalam\, OIT/HPC\, UC Irvine\nPre-requisites: For the course\, none. For the tutorial\, a laptop with WiFi\, with a terminal application (Macs have the Terminal app; Windows need putty)\, and both would benefit from ‘x2go’.
URL:https://datascience.uci.edu/event/introduction-to-linux-short-course/
ATTACH;FMTTYPE=image/png:https://datascience.uci.edu/wp-content/uploads/2014/09/lock_data_science1.png
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