1. Small, n=me, data
Deborah Estrin
Professor, Computer Science, Cornell NYC Tech
Professor, Public Health, Weill Cornell Medical College
Co-founder, Open mHealth
destrin@cs.cornell.edu
work done with collaborators from
Cornell, UCLA, openmhealth.org, ...
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1Saturday, August 17, 13

2. Agenda
• Shared, digital, life
• Prelude: mobile health as n=me data
• Small data: beyond mobile and beyond health
• Proposed market/system architecture with
individual as nexus of control
• Proposed shared testbed
2Saturday, August 17, 13

3. 2
n=me
data
third pillar of personalized, precision, medicine
“Big data”
(EHRs,
Web mining)
“n=me data”
(mHealth,
digital traces)
+ +“omics”
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4. mobile apps generate data
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5. 5
Passively-recorded activity and location traces
UI: E. Wang
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6. 6
h"p://ginger.io/the-­‐pla1orm/
Communication and activity data: Ginger.io check engine light
6Saturday, August 17, 13

7. 7
• mobile carriers
- location/activity
- call records
• cable box/home gw
- TV patterns (sleep,hearing)
- internet mediated patterns
- household focus
• utilities (elec,water)
- diurnal rhythms
- appliance use
- household focus
• smart cars
- location/activity
• search
- state of mind
- topic/concern
• social media and email
- social patterns
- interaction
- mood
• e-commerce, payments
- consumption/input
- patterns
• games/music/videos
- cognitive state
- indicator/influencer
Beyond mobile
small data: digital traces from diverse consumer services
7Saturday, August 17, 13

8. 8
measure, manage, incentivize, improve:
wellbeing, consumption, personal/family logistics
behavior change, community resiliency
• aging independent living seniors
• newly independent living young adults
• newcomers to a neighborhood/city
• personal profiles in social media, games
• n=me health and wellness outcomes
• ...
Beyond ‘health’...life:
8Saturday, August 17, 13

9. Proposed small data socio-technical architecture
individual as nexus for fusion of their data streams
apps run over data in personal data vault
• Subscriber access to their individual data traces--data liberation!
•programmatic, realtime, opt-in through personal data APIs
• Raw data shared with subscriber only
•avoids a range of privacy and regulatory concerns
• Fuel new market of third-party personal informatics apps/services
• some apps will run in PDV; others externally
9Saturday, August 17, 13

10. 10
Individual as nexus: discussion
• Each data source has shared/other origins
• Individual has control over their corpus of data streams to correlate, fuse
• App/service utility derives from lack of anonymity
• Selective sharing embodied in apps
10Saturday, August 17, 13

11. small data: key challenges
• Getting the data
– Personal data APIs (data liberation to the consumer)
– Convincing/incentivizing service providers
• Data processing, inference, fusion, modeling
– diverse, noisy, lossy data
– signal processing, machine learning, natural language...
• Data and API standards
– app model and economy
• Personal data vaults
– Security models and mechanisms, usability
– Policy questions re. ownership, access, rights
• Testbed for prototypes and pilots
– economy of scale in a shared testbed for rapid iterative exploration
– secure and private data handling, IRB, methods, tools 11
11Saturday, August 17, 13

12. mpire
proposed Testbed for Small Data and personal informatics
participant recruitment,
incentives, management--
across large and diverse
participant populations
experiment configuration,
control, coordination, analysis,
administration
IRB study management templates
aggregated datasets
Current collaborators: Intel
Labs, Ericsson Research, IBM
Research, ATT Research,
Verizon, Time Warner Cable
Network and cloud APIs to personal-data
Deployment framework for end-user apps
Secure personal-data vaults
Data processing, fusion, inference, modeling12
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13. open architecture to promote
modularity, data interoperability and software reusability
Can we reuse open mhealth architecture/APIs/Registry?
activity classification
graphing
significant
changes in
mobility
data storage (e.g., PHR)
proprietary
component with omh
API (Runkeeper
Entra Glucometer)
mood App
(PAM, moodmap...)
13Saturday, August 17, 13

14. http://smalldata.tech.cornell.edu/
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