Keynote presentation delivered by Lee Rainie,

1. Networked: The New Social Operating System …
… and Organizational Operating System
NEXTGOV
December 3, 2012
Lee Rainie: Director, Pew Internet Project
Email: Lrainie@pewinternet.org
PewInternet.org

2. What is the Pew Internet Project?
A comprehensive and groundbreaking new report
Number Of Users
released Monday by the Pew Research Center’s
Internet and American Life Project has found that
Who Actually
only“As itusers of Facebook derive pleasure of any
.... four turns out, the vast majority of human
kind from the to become depressed when they
beings tend popular social networking website.
Enjoy Facebook
see the past five the report, the life summarized
According to years of their remainder of
the 950 million people registered with Facebook,
Down To 4
right there in front of them in a sad little
despite using the site on a regular basis, take no
timeline,” said lead researcher John Elliott.
joy in doing so, and in fact feel a profound sense
of hopelessness and despair immediately upon
logging in…

3. The traits of networked information
• Pervasively generated • Real-time /
• Pervasively consumed just-in-time
• Personal • Timeless /
• Participatory / social searchable
• Linked • Defined and
structured by
• Continually edited “algorithmic
• Multi-platformed authority”

4. Digital Revolution 1: Broadband
Internet (85%) and Broadband at home (66%)

5. Networked creators and curators (among internet users)
• 69% are social networking site users
• 59% share photos and videos
• 46% creators; 41% curators
• 37% contribute rankings and ratings
• 33% create content tags
• 30% share personal creations
• 26% post comments on sites and blogs
• 16% use Twitter
• 14% are bloggers
• 18% (of smartphone owners) share their locations;
74% get location info and do location sharing

6. Impact on knowledge and organizations
• Rise of “fifth estate” of civic and community
actors (including citizen “vigilantes”)
• Information becomes “networked” through
links, crowdsourcing, perpetual
editing/feedback
• Harder to control organizational messages to
the public

7. Revolution 2: Mobile – 89% of adults
46% smartphones / 25% tablets
321.7
Total U.S.
population:
315.5 million
2012

8. Apps > 50% of adults
50%
% of cell owners who have 43%
40% downloaded apps 38%
30%
29%
22%
20%
10%
0%
Sept 2009 May 2010 August 2011 April 2012

9. Impact on knowledge and organizations
• Information becomes pervasive – a “third skin”
• Attention zones change
– “Continuous partial attention”
– Deep dives
– Info snacking
• Real-time, just-in-time searches and availability change
process of acquiring and using information
– Spontaneous activities
– Be “ready for your closeup”
• Augmented reality highlights the merger of data world
and real world

10. Digital Revolution 3
Social networking – 59% of all adults
18-29 30-49 50-64 65+
100%
86% 87% 92%
% of internet users
80%
76%
67%
68% 73%
60%
61%
49% 48% 49% 57%
40%
47%
25% 29%
25% 38%
20% 26%
9% 8% 11%
7% 4% 13%
6% 7%
0% 1%
2005 2006 2007 2008 2009 2010 2011 2012

11. Impact on knowledge and organizations
• Composition and character of people’s social
networks change AND they become important
channels of learning and influence
• Self-learning and DIY learning are elevated
• Amateur experts sit aside credentialed experts
• Organizations can become “helper nodes” in
people’s networks

12. Meta-impact on knowledge and organizations
• New pathways into people’s attention zones
• More people in your kitchen
• More demands for transparency
• Greater imperative to know what your
workers know – helps organizations outside
the civil service structure
• More attempts at breaking and entering

13. The impact of Big Data?
http://www.pewinternet.org/Reports/2012/Future-of-Big-Data.aspx

14. Future of Big Data
• Thanks to many changes, including the building of "the
Internet of Things," human and machine analysis of
large data sets will improve social, political, and
economic intelligence by 2020. The rise of what is
known as "Big Data" will facilitate things
like "nowcasting" (real-time "forecasting" of events);
the development of "inferential software" that assesses
data patterns to project outcomes; and the creation of
algorithms for advanced correlations that enable new
understanding of the world. Overall, the rise of Big Data
is a huge positive for society in nearly all respects.

15. Future of Big Data
• Thanks to many changes, including the building of "the
Internet of Things," human and machine analysis of Big Data
will cause more problems than it solves by 2020. The
existence of huge data sets for analysis will engender false
confidence in our predictive powers and will lead many to
make significant and hurtful mistakes. Moreover, analysis of
Big Data will be misused by powerful people and institutions
with selfish agendas who manipulate findings to make the
case for what they want. And the advent of Big Data has a
harmful impact because it serves the majority (at times
inaccurately) while diminishing the minority and ignoring
important outliers. Overall, the rise of Big Data is a big
negative for society in nearly all respects.

16. Future of Big Data
Improve intelligence Cause new problems
53% 39%

17. Themes
• Jeff Jarvis: “Demonizing data … is demonizing
knowledge” … and the analytical tools will only
get better
• Human capacities are the key to its success and
likely shortcomings
• DIY analytics/monitoring will be as helpful as Big
Data numbers crunching
• Don’t downplay the “dark side” of surveillance
society
• “How to lie with the Internet of Things” /
“distribution of harms” (Oscar Gandy)

18. Surprise/delight
• Patrick Tucker
“Computer science, data-mining, and a growing
network of sensors and information-collection
software programs are giving rise to a
phenomenal occurrence, the knowable future.”

19. 4th revolution?
• Interfaces – haptic, voice, collaborative
• Expanded search into video and audio
• 3D printing
• Internet of Things: Smart appliances and
systems
• Gamification of information

20. Your map is
wrong

21. Thank you!