0
every age has its
own lever.
ours is data.
1.
how do we change the
way we gather data?
centered around
authenticated individuals at
authenticated institutions
gathering pre-determined
data from pre-determined
phenotypes
there is no center, and what
is authentication?
“just record everything and
figure out significance later”
2.
it’s about cheap data,
not big data.
cheap data changes the way
we justify our beliefs.
OPS = AB(H + BB + HBP) +
TB(AB + BB + SF + HBP) /
AB(AB + BB + SF + HBP)
cheap data = better decisions
21
22
23
24
assume 1,000,000 downloads
assume 10% false positive rate
100,000 doctor visits
$1000 per biopsy
$900,000,000 per app?
3.
how might we connect
cheap data, research,
and health systems?
sharing by small but
coherent groups can
create asymmetrically
valuable resources.
“When Campos contacted the
company for the first time,
Medtronic spokesman Steve Cragle
said that the patient services rep
...
if i want to give it away, i
have to understand the gift.
terms in blue pop up definitions
volunteer must click to proceed
all boxes must be checked
volunteer cannot skip video
real-time genotype sharing:
http://opensnp.org/users/615
http://files.snpedia.com/reports/promethease_data/genome_jtw_ui2.html
“Also there is no suggestion of
consanguinity in your pedigree.”
http://www.ianlogan.co.uk/
a relief, but no insight.
4.
cheap data to insight
via open systems.
47
48
accessibility
adaptability
leverage
ease
of mastery
accessibility
adaptability
leverage
ease
of	
  mastery
0
25
25
25
25
THREE	
  OPTIONS	
  TO	
  DOWNLOAD
NO	
  CLEAR	
  LIC...
which patients have tumor and normal
samples amidst a group of celfiles?
accessibility
adaptability
leverage
ease
of	
  mastery
IMPACT	
  OF	
  PRIVATE	
  INTERVENTION
free as in speech or free
as in beer?
john.wilbanks@sagebase.gov
wilbanks@nitrd.gov
@wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
Swiss public health 2013 Wilbanks
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Swiss public health 2013 Wilbanks

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Keynote presentation for the Swiss Public Health Conference 2014. Details at http://sph13.organizers-congress.ch/french/programOverview.php

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Transcript of "Swiss public health 2013 Wilbanks"

  1. 1. every age has its own lever.
  2. 2. ours is data.
  3. 3. 1. how do we change the way we gather data?
  4. 4. centered around authenticated individuals at authenticated institutions
  5. 5. gathering pre-determined data from pre-determined phenotypes
  6. 6. there is no center, and what is authentication?
  7. 7. “just record everything and figure out significance later”
  8. 8. 2. it’s about cheap data, not big data.
  9. 9. cheap data changes the way we justify our beliefs.
  10. 10. OPS = AB(H + BB + HBP) + TB(AB + BB + SF + HBP) / AB(AB + BB + SF + HBP)
  11. 11. cheap data = better decisions
  12. 12. 21
  13. 13. 22
  14. 14. 23
  15. 15. 24
  16. 16. assume 1,000,000 downloads assume 10% false positive rate 100,000 doctor visits $1000 per biopsy
  17. 17. $900,000,000 per app?
  18. 18. 3. how might we connect cheap data, research, and health systems?
  19. 19. sharing by small but coherent groups can create asymmetrically valuable resources.
  20. 20. “When Campos contacted the company for the first time, Medtronic spokesman Steve Cragle said that the patient services rep didn’t understand that Campos wanted the raw data.”
  21. 21. if i want to give it away, i have to understand the gift.
  22. 22. terms in blue pop up definitions
  23. 23. volunteer must click to proceed all boxes must be checked
  24. 24. volunteer cannot skip video
  25. 25. real-time genotype sharing:
  26. 26. http://opensnp.org/users/615
  27. 27. http://files.snpedia.com/reports/promethease_data/genome_jtw_ui2.html
  28. 28. “Also there is no suggestion of consanguinity in your pedigree.” http://www.ianlogan.co.uk/
  29. 29. a relief, but no insight.
  30. 30. 4. cheap data to insight via open systems.
  31. 31. 47
  32. 32. 48
  33. 33. accessibility adaptability leverage ease of mastery
  34. 34. accessibility adaptability leverage ease of  mastery 0 25 25 25 25 THREE  OPTIONS  TO  DOWNLOAD NO  CLEAR  LICENSE PRIVACY  RESTRICTIONS METADATA
  35. 35. which patients have tumor and normal samples amidst a group of celfiles?
  36. 36. accessibility adaptability leverage ease of  mastery IMPACT  OF  PRIVATE  INTERVENTION
  37. 37. free as in speech or free as in beer?
  38. 38. john.wilbanks@sagebase.gov wilbanks@nitrd.gov @wilbanks
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