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How STDs Can be Good for Your Health

Event Interactive 2012
Format Panel
Organizer Emily Hackel – Edelman
Speakers
  1. Deven McGraw – Center for Democracy and Technology
  2. Mark Dredze – John's Hopkins University
  3. Anmol Madan – ginger.io
  4. Emily Hackel – Edelman
  5. David Hale – National Library of Medicine
Description We’ll let you in on a secret: Socially Transmitted Data (STDs) are good for your health. Updating Twitter, searching for information on Google, texting your friends, and carrying your mobile phone – these activities may hold the key to preventing your next cold or knowing when flu will be keeping the kids at home so you can get them Echinacea and call the sitter in time. In this panel, we’ll discuss how the data you leave in your wake, every day, holds within it vast opportunity to predict and even improve personal and public health; and we’ll delve into some of the latest research and tools that are helping uncover what’s possible. Do you want to know when the next bug will be wafting through town? Is your partner depressed but not aware what’s wrong? Your twitter feed, mobile location traces, search queries, subway travel patterns and even buying behavior may hold the answer. The common denominator: These non-traditional passive data offer tremendous scale that simply doesn't exist with any other physiological health sensor. They give us clues about our personal and collective health behavior, and help health care professionals and health organizations better serve the public. It is important to note, that while some are excited by these prospects, others cry “big brother”. So we’ll discuss privacy implications too.
Questions
Answered
  1. From current analyses of our data trails, what can really be inferred about about individual or aggregate health behavior?
  2. How do individuals as well as organizations of all kinds ensure their data is being used to inform and improve the public’s health?
  3. What are the privacy concerns being expressed and how can we properly address those?
  4. What are some of the latest data-mining techniques that can help prevent illness and monitor the public’s health?
  5. How will this space evolve in the next 2 years? Where’s the immediate business opportunity?
Level Beginner
Supporting Material Paper co-authored by panelist Mark Dredze: "You are What You Tweet: Analyzing Twitter for Public Health" -- http://www.cs.jhu.edu/~mdredze/publications/twitter_health_icwsm_11.pdf ginger.io's personal data monitoring tool: http://www.getdailydata.com/Main/HomePage Center for Democracy and Technology's Health Privacy Project: http://www.cdt.org/issue/health-privacy MIT Technology Review article: "The app that looks for signs of sickness" - http://www.technologyreview.com/biomedicine/37866/ gaga.om article, "Can you crowdsource health information via twitter" - http://gigaom.com/2011/07/07/can-you-crowdsource-health-information-via-twitter/
Category Health / Future of Medicine
Tags Health , Privacy, technology innovation
HELP