1. Research Meets Mobile: Implications and Opportunities
ECAR Mobile Strategy & Application Development (MSAD)
Rose Rocchio, UCLA, Chair of ECAR-MSAD
January 28th, 2014 ** Discussion notes are in Red

2. Ownership
Today…

4. BYOE Philosophy People have a relationship with their device
Increasingly, it’s how they…
Communicate privately (voice/text)
Express themselves (fb, twitter, instagram, blogs..)
Keep up with the News (highly filtered)
Wake up in the morning (alarm)
Stay on schedule (reminders)
Learn new things (search for things)
Track their goals & progress towards them

5. Mobile Data Collection (MDC)
Passive
Public
Crowd Sourced
Private
Future… = Internet of things

6. Internet of Things => Data
Today
We are generating more than 2.5 quintillion bytes of new data daily (Marcia Conner Blog)
90% of worlds data has been created in last 2 yrs (Marcia Conner Blog)
Wearable Devices => More Data
22 Billion web-connected devices expected by 2020 (IMS Research)
800% of data growth expected over next 5 yrs with 80% of it unstructured data (Gartner)

8. Smart Campus Discussion
What does it look like?
Some are working on Parking – real time info – sensors don’t work well in snow
Some are working on self guided tours – with QR codes – embedded videos
Some working on ibeacons – URL broadcast out – from a class or tour – location specific
Events – and Event tracking - getting there – with Rfid – lines etc
Weather – monitoring
Campus museums – special collections
Some measuring the “state” of things – insects, fungus
Princeton has an alert about “Food” – especially FREE food information
Rfid – radio frequency - - like the turnpike fastpass….
Some are trying to Incentivize – behavior
Space utilization – how much use are rooms getting used - TA sessions etc…
Tradeoffs – between utility and privacy
Juniors and seniors – today - different perspective…

9. Social Media New Data
People & brands on Twitter send more than 340 million tweets a day.
People on Facebook share more than 684,000 bits of content a day.
People upload 72 hrs (259,200 secs) of new video to YouTube a min.
Google receives over 2 million search queries a minute.
Apple receives around 47,000 app downloads a minute.
Brands receive more than 34,000 Facebook ‘likes’ a minute.
Tumblr blog owners publish 27,000 new posts a minute.
Instagram photographers share 3,600 new photos a minute.
Individuals and organizations launch 571 new websites a minute.
WordPress bloggers publish close to 350 new blog posts a minute.
The Mobile Web receives 217 new participants a minute.
Marcia Conner’s blog on bigdata

10. Aggregated Social Trends
Social.Chapman is an aggregated social media view that brings together and crowd sources with an algorithim, new trends, hot topics etc
Inside.Chapman is a private internal Social Media community for internal discussion etc
Penn State is using Yammer as an internal social community tool

11. Researcher Connectedness…
How do we leverage Social Media for Research?
Discussion:
- Penn State’s use of Yammer – UC – Universal Communications
( heat map – of activity…) – grouping capabilities
Cloud base - - a lot of this existing already – web and mobile app

12. Implications of an Instrumented Populace
Ubiquity of smart mobile devices
Easier and cheaper to collect data
Accidental Data Collection
Citizen Scientist => Participatory Research
Lots of new data streams
Social Media creating new levels of awareness
Robust & complex data (image, video, GPS data)
Privacy protection more critical & explicit

13. Implications Discussion
Other Implications…
Generational difference – faculty who want to shut connectivity down – versus – those who are leveraging it
Wireless infrastructure – needs to be in place to support these activities
Identity Mgmt – internal vs external
Harnessing social media – riding a wave
Faculty poll – use the social media that students like each year – OLIN
Peer discovery – linked in for science –
Issues with Intellectual Property… educating faculty on copyright
Trend of the day – how do we stay on top of it

14. Opportunities & Good News…
All this new data => Analytics…
Researchers do NOT have to:
supply study participants with the devices
Train them how to use the devices
Support the devices (24 x 7)
Fix the devices when they break
Pay for connectivity

15. Opportunities Discussion
What else?
When to get other agencies involved
Keep in mind FDA – approval – popup interventions – could require FDA – involve them early
Development Protocol commencement

16. Appendix

17. Things to come…

18. 500+ Screen sizes to deliver content & f(x) to…
What Else…
500+ Screen sizes to deliver content & f(x) to…

19. Waves of Mobility There is an App for that…
Mobile Web Frameworks & html5
Responsive Design Frameworks
Mobile Data Collection Tools & Platforms
Implications of wearables for data
Social Media & Mobile
> to increase Researcher connectedness

20. Ubiquity & Pervasiveness
The PEW research center says
91% American Adults have cell phones
56% American Adults have a smart phone
34% Own a tablet
28% own a laptop
74% use say use smart phone to access the internet1
increasingly used as tools to observe and understand the patterns, habits and environments of individuals and communities.
Notes
1 More information available at “Mobile Phone Problems” available at:

21. Amsterdam Internet Exchange

22. Implications… include Platform Challenges