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

Ownership Today…

http://www.scmp.com/sites/default/files/styles/980w/public/2013/08/21/smartphone.jpg?itok=OdKbU4tP

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

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

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)

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…

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

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

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

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

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

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

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

Appendix

Things to come…

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

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

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: http://www.pewinternet.org/Reports/2012/Mobile-phone-problems/Main-findings/Mobile-phone-problems.aspx?q=cell%20internet%20use%202012

Amsterdam Internet Exchange

Implications… include Platform Challenges