Data Kindness on the Internet

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Slides for the Birds of a Feather talk led by Christan Grant on Data kindness on the internet.

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  • Data Kindness on the Internet

    1. 1. Data Kindness on the Internet Christan Grant @cegme Christan Grant • Tapia 2011 • Birds of a Feather
    2. 2. Data Kindness on the InternetBoF Rules: Ask questions, address to the group not just me Goal: Get researchers using (open) data in research and ventures. Last chunk of minutes will be a group bonding activity Christan Grant • Tapia 2011 • Birds of a Feather
    3. 3. Data Kindness on the Internet• Data Bandwagon• Data Valuation• Dealing with Data • Good and Bad• Open Data Breakout Christan Grant • Tapia 2011 • Birds of a Feather
    4. 4. PeopleDr. Tyrone GrandisonAn ACM DistinguishedEngineer, and programmanager for IBM corehealthcare services.Dr. Grandison is worldrenowned leader in thearea of information privacyand security. Christan Grant • Tapia 2011 • Birds of a Feather
    5. 5. PeopleDr. Kun LiuDr. Liu is researchingbehavioral targeting issuesin the Yahoo! Displayadvertising team.He has co-authored threebook chapters on privacy-preserving social-networkanalysis and privacy-preserving data mining. Christan Grant • Tapia 2011 • Birds of a Feather
    6. 6. PeopleDr. Christan GrantA doctoral student at theUniversity of FloridaDatabase ResearchCenter, has worked onprojects to extractinformation from hiddendata bases and collectionsof online. Christan Grant • Tapia 2011 • Birds of a Feather
    7. 7. lets talk about data • Web 2.0 is predicated in the fact users will upload their data • Data → Knowledge → Power • A Market for Lemons (George Akerlof) Christan Grant • Tapia 2011 • Birds of a Feather
    8. 8. Valuation of Data“If you are not paying for something, you arenot the customer, you are the product.” Christan Grant • Tapia 2011 • Birds of a Feather
    9. 9. Valuation of Data“Personal data is the oil of the Internet andthe new currency of the digital world.” -- Megan Kuneva, Consumer Commissioner Christan Grant • Tapia 2011 • Birds of a Feather
    10. 10. Valuation of Data• Facebook • Ad Sales 2010 is $1.21 Billion • 90 “pieces on content” created per month per user (3 per day) Christan Grant • Tapia 2011 • Birds of a Feather
    11. 11. Valuation of Data Christan Grant • Tapia 2011 • Birds of a Feather
    12. 12. Valuation of DataFacebook Christan Grant • Tapia 2011 • Birds of a Feather
    13. 13. Valuation of DataFacebook$1.21 Billion ÷ (90 data/(month x user) x 12months) Christan Grant • Tapia 2011 • Birds of a Feather
    14. 14. Valuation of DataFacebook$1.21 Billion ÷ (90 data/(month x user) x 12months)$1.12 Million per user/data Christan Grant • Tapia 2011 • Birds of a Feather
    15. 15. Valuation of DataFacebook$1.21 Billion ÷ (90 data/(month x user) x 12months)$1.12 Million per user/data500 Millions users!! Why The Face?? Christan Grant • Tapia 2011 • Birds of a Feather
    16. 16. Valuation of DataFacebook$1.21 Billion ÷ (90 data/(month x user) x 12months)$1.12 Million per user/data500 Millions users!! Why The Face??Note: Inaccurate, we need to know howmuch ads per user action Christan Grant • Tapia 2011 • Birds of a Feather
    17. 17. Valuation of Data• Google • ~97% of revenue from ads • $28 Billion from Ads in 2010 Christan Grant • Tapia 2011 • Birds of a Feather
    18. 18. Valuation of Data• Yahoo! • 90% of revenue from Ads • Revenue $6.460 billion (2009) • 6 Million Users Christan Grant • Tapia 2011 • Birds of a Feather
    19. 19. Valuation of Data• Color.comNew location-based photosharing “elastic” socialnetwork.Initial seed investment of$41 Million dollars Christan Grant • Tapia 2011 • Birds of a Feather
    20. 20. Valuation of Data• Color.comNew location-based photosharing “elastic” socialnetwork.Initial seed investment of$41 Million dollarsHow?? Bubble?? Christan Grant • Tapia 2011 • Birds of a Feather
    21. 21. Valuation of Data• Color.com • Answer: Data!! • Grabs more data points per picture, patents for garbing user location and proximity. • “sound levels, Bluetooth readings, light readings, antenna strength, the time - even the direction youre pointing your phone - and more and uses it all to determine your proximity to other users.” - rww • “It is a research company and a data mining company” - Bill Nguyen • “Our data is so accurate that we know where you are” - Bill Nguyen Christan Grant • Tapia 2011 • Birds of a Feather
    22. 22. Valuation of Data* Data is valuable for people who know how to use it• Part of the value calculation is the cost of a data breach• Buyers are largely advertisers (People say “we shouldn’t put value on data” ... to me that is like saying don’t put value on crude oil) Christan Grant • Tapia 2011 • Birds of a Feather
    23. 23. Dealing with Data• Categories of data?• How to collect internet oil?• What is data kindness?• Examples Christan Grant • Tapia 2011 • Birds of a Feather
    24. 24. Dealing with Data• Categories of Data • Geographic • Demographic • Behavioral Christan Grant • Tapia 2011 • Birds of a Feather
    25. 25. Dealing with Data• Collecting internet oil • Active • Passive Christan Grant • Tapia 2011 • Birds of a Feather
    26. 26. Dealing with Data• Active data collection • Collecting data by proactively seeking and obtaining • Common Examples: • Scraping websites • Credit card applications • Medical procedure information Christan Grant • Tapia 2011 • Birds of a Feather
    27. 27. Dealing with Data• Passive data collection • Information is obtained through monitoring streams • Common Examples: • Cookies • Telecom call logs (Just press record) Christan Grant • Tapia 2011 • Birds of a Feather
    28. 28. Dealing with Data• Data Kindness • Polite method to collect/use/provide/destroy data. Say what you are going to do, do it, and do only this. • “Kind data” transaction model is a two-way gentle person hand-shake. • If a website has a privacy policy, follow it. • API’s/Protocols make this formal Christan Grant • Tapia 2011 • Birds of a Feather
    29. 29. Dealing with Data• Data Kindness ❿Insurance companies • Active • Insurers have long used blood and urine tests to assess peoples health • Instead, Information comes from online and offline activities to predict life expectancies • Information comes from warranty cards • Registering at websites (weight loss tips websites, bungee jumping websites) • Find higher risk information, looking for clues about life style that play into obesity, hypertension and diabetes. Insurers are looking for healthy people, people who exercise a lot. Christan Grant • Tapia 2011 • Birds of a Feather
    30. 30. Dealing with Data• Data Kindness ❿Credit card companies • Passive • Visa Europe is looking into using your phone location to prevent fraud • This is used to help reduce false positives • By 2015, more than 15% of cards will be validated by mobile location Christan Grant • Tapia 2011 • Birds of a Feather
    31. 31. Dealing with Data• Data Kindness ❿Street Line Networks • Put sensors in city parking spaces to help people find parking spots. • Active or Passive? Christan Grant • Tapia 2011 • Birds of a Feather
    32. 32. Dealing with Data• Data (un)Kindness ❿Google Street View • Active • 240K people opted out of being included in google street view. • Houses were blurred... some were not • German court said it was legal. • Fined €100K France for activities Christan Grant • Tapia 2011 • Birds of a Feather
    33. 33. Dealing with Data• Data (un)Kindness ❿Websites • Passive • first party cookies -- text files that provide useful services (e.g. shopping cart) • 3rd party cookies -- text file with unique id to track websites you visit • beacons -- small programs, cookies on steroids (e.g. a key logger) • flash cookies -- hard to delete, may replace deleted cookies mostly volume setting Christan Grant • Tapia 2011 • Birds of a Feather
    34. 34. Dealing with Data• Data (un)Kindness ❿Websites • Passive • dictionary.com → 234 • msn.com → 207 • comcast.net → 151 • aol.com → 133 • Some phone apps send your phoneid and other identifiable information to 3rd parties. • A large amount of these apps do not have privacy policies Christan Grant • Tapia 2011 • Birds of a Feather
    35. 35. Dealing with Data• How to use data • Sharing data can have a huge impact • $60 mil Alzheimer Research → 160 papers, 80 in the pipeline • Publish your data as linked-data to semantically combine with other information • Be data stewards and declare data ownership Christan Grant • Tapia 2011 • Birds of a Feather
    36. 36. Dealing with Data• Protect sensitive information • Anonymize • High tech breach notification act -- must notify individuals when their health information is breached • 2009 US data breach cost $6.75 Mil • 2009 US detection/escalation $0.26 Mil • 2009 US notification cost $0.5 Mil Christan Grant • Tapia 2011 • Birds of a Feather
    37. 37. Christan Grant • Tapia 2011 • Birds of a Feather
    38. 38. Dealing with Data• Obtaining data • Open data sets infochimps.org • dev.twitter.com • developers.facebook.com • Scraper Wiki • developers.nytimes.com • Health Tap data http://h4h.healthtap.com/pages/ data Christan Grant • Tapia 2011 • Birds of a Feather
    39. 39. Dealing with Data• Tools • Graduate students • Scripting language - python/bash/awk • Google refine • Yahoo pipes • Bing maps • ... Christan Grant • Tapia 2011 • Birds of a Feather
    40. 40. Dealing with Data• Data Quality • Most data is meh - Restaurant data is 3.5-4 stars • Aggregated/fused data is better information is better • “90% of time is spent modeling data” Christan Grant • Tapia 2011 • Birds of a Feather
    41. 41. Dealing with Data• Data Quality • Integrating data is difficult (Information Integration is a billion dollar business) • Semantic data helps • Larger and more diverse the data sets, the more difficult • Dates/Unicode is are a headache • Separate teams must clearly define downstream data Christan Grant • Tapia 2011 • Birds of a Feather
    42. 42. Open Data Breakout• Choose or make up a topic• Get together in groups of 5-6• Discuss a plan to attack this topic• With ~ 15 minutes left we will start presentations Christan Grant • Tapia 2011 • Birds of a Feather
    43. 43. Open Data Breakout!• Projects • Vision → How many Facebook pictures on average will it take to create a 3D model of a person • Algos/Statistics →How would you count the number of spam bots on twitter • NLP → How can you use language specific wording to predict user location/demographics • Healthcare → How can you use open health data to improve diagnosis. • Robotics → How can a robot use web or social network data to entertain a human companion • Web/Algos → Web based privacy risk score Christan Grant • Tapia 2011 • Birds of a Feather
    44. 44. Links• Links to resources are at: http://goo.gl/ TCF3x Christan Grant • Tapia 2011 • Birds of a Feather
    45. 45. Thank you• Questions?! Christan Grant christangrant.com University of Florida Christan Grant • Tapia 2011 • Birds of a Feather

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