Information, Science, and Society

Melanie Swan
Melanie SwanTechnophysicist, Blockchain Theorist, Philosophy, Purdue University at Institute for Blockchain Studies
Science and Society
How can big-picture science thinking
help society and vice-versa?

Melanie Swan
m@melanieswan.com
January 9, 2014
Vieques, Puerto Rico
Slides: http://slideshare.net/LaBlogga
World-Shaping Science and Society Trends

January 9, 2014
FQXi

Image: http://www.sydmead.com

2
3 billion new Internet Users by 2020

8
7
6
5
4
3
2
1
0
Impact: Majority of worldwide population starting to access
and self-enable with science and technology
January 9, 2014
FQXi

Source: Peter Diamandis, Singularity University, July 2013

3
Global Population: Growing and Aging

January 9, 2014
FQXi

Source: UN Habitat – 2010
http://avondaleassetmanagement.blogspot.com/2012/05/japan-aging-population.html

4
Human Urbanization: Living in Cities



Over 50% worldwide population in 2008
5 billion in 2030 (estimated)

January 9, 2014
FQXi

Source: Copenhagen Pollution Levels, MIT Senseable City Lab

5
Megacity
Growth
Rates
Megacity:
(>10 million
inhabitants
and
~2,000/km2
density)
January 9, 2014
FQXi

Source: Wikipedia

6
Wireless Internet-of-Things (IOT)

Image credit: Cisco

January 9, 2014
FQXi

Source: Swan, M. Sensor Mania! The Internet of Things, Objective Metrics, and the
Quantified Self 2.0. J Sens Actuator Netw (2012) 1(3), 217-253.

7
12 billion Internet-connected devices 2016


Usual computing
gadgetry (e.g.;
smartphones) and
everyday objects: cars,
food, clothing,
appliances, buildings,
roads



Embedded chips in 5%
of human-constructed
objects (2012)1

January 9, 2014
FQXi

3 year doubling cycle

Source: http://www.businessinsider.com/growth-in-the-internet-of-things-2013-10?IR=T
1
Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012

8
Defining Trend of Current Era: Big Data



Annual data creation in zettabytes (10007 bytes)
90% of the world’s data created in the last 2 years

2 year doubling cycle

January 9, 2014
FQXi

Source: Mary Meeker, Internet Trends, http://www.kpcb.com/insights/2013-internet-trends
http://www.intel.com/content/dam/www/public/us/en/documents/white-papers/healthcare-leveraging-big-data-paper.pdf

9
Expanded Concept of Conduct of Science
1.

Larger Scope of Activity


Computational complement to every field
Theoretical




Experimental
Observational

Computational

Applied

Discovery speed-ups due to modeling, simulation, and prediction
Shift from characterization to pro-active construction in tight
feedback loops enabling new fields: synthetic biology

January 9, 2014
FQXi

Source: Kido, Swan, et al. Systematic evaluation of personal genome services. Nature:
Journal of Human Genetics (2013) 58, 734–741.

10
Expanded Concept of Conduct of Science
2. Larger Scale of Activity


Harnessing technology-driven crowd models

Institutional
Research

Crowdsourced
Participation

Citizen Science
Organized



Quantified Self

Data Analysis



Peer Studies



Data Competitions



DIY Community











Data Collection

Serious Gaming



3D Bioprinting

Faster, lower-cost, orders-of-magnitude scale-up (permutation)
The crowd as big data processing nodes

January 9, 2014
FQXi

Source: Swan, M. Crowdsourced Health Research Studies. J Med Internet Res (2012)
14(2):e46.

11
Information Connects Science and Society


Wholly different relation to information
Formerly everything signal, now 99% noise



Exception, variability, probability, patterns, prediction



New kinds of information






Longitudinal baseline measures, normal deviation patterns,
contingency adjustments, anomaly, emergence
Multiple data analysis paradigms: time, frequency, episode, cycle



New kinds of models supplementing scientific method



Machine learning, hierarchical representation, neural networks,
information visualization

January 9, 2014
FQXi

Source: Swan, M. The Quantified Self. Big Data (2013) 1(2): 85-99.

12
Sense of Ourselves as Information
Generators

January 9, 2014
FQXi

13
Summary: Science and Society



New era of scientific discovery with a greatly
expanded range of possibilities due to big data,
computation, and crowd participation



Our attunement to technology as an enabling
background helps us see the possibilities for the true
meaningfulness of our being - Heidegger

January 9, 2014
FQXi

Source: Heidegger, M. The Question Concerning Technology (1954).

14
Science and Society

Thank you!
Melanie Swan
m@melanieswan.com
January 9, 2014
Vieques, Puerto Rico
Slides: http://slideshare.net/LaBlogga
1 of 15

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Information, Science, and Society

  • 1. Science and Society How can big-picture science thinking help society and vice-versa? Melanie Swan m@melanieswan.com January 9, 2014 Vieques, Puerto Rico Slides: http://slideshare.net/LaBlogga
  • 2. World-Shaping Science and Society Trends January 9, 2014 FQXi Image: http://www.sydmead.com 2
  • 3. 3 billion new Internet Users by 2020 8 7 6 5 4 3 2 1 0 Impact: Majority of worldwide population starting to access and self-enable with science and technology January 9, 2014 FQXi Source: Peter Diamandis, Singularity University, July 2013 3
  • 4. Global Population: Growing and Aging January 9, 2014 FQXi Source: UN Habitat – 2010 http://avondaleassetmanagement.blogspot.com/2012/05/japan-aging-population.html 4
  • 5. Human Urbanization: Living in Cities   Over 50% worldwide population in 2008 5 billion in 2030 (estimated) January 9, 2014 FQXi Source: Copenhagen Pollution Levels, MIT Senseable City Lab 5
  • 7. Wireless Internet-of-Things (IOT) Image credit: Cisco January 9, 2014 FQXi Source: Swan, M. Sensor Mania! The Internet of Things, Objective Metrics, and the Quantified Self 2.0. J Sens Actuator Netw (2012) 1(3), 217-253. 7
  • 8. 12 billion Internet-connected devices 2016  Usual computing gadgetry (e.g.; smartphones) and everyday objects: cars, food, clothing, appliances, buildings, roads  Embedded chips in 5% of human-constructed objects (2012)1 January 9, 2014 FQXi 3 year doubling cycle Source: http://www.businessinsider.com/growth-in-the-internet-of-things-2013-10?IR=T 1 Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012 8
  • 9. Defining Trend of Current Era: Big Data   Annual data creation in zettabytes (10007 bytes) 90% of the world’s data created in the last 2 years 2 year doubling cycle January 9, 2014 FQXi Source: Mary Meeker, Internet Trends, http://www.kpcb.com/insights/2013-internet-trends http://www.intel.com/content/dam/www/public/us/en/documents/white-papers/healthcare-leveraging-big-data-paper.pdf 9
  • 10. Expanded Concept of Conduct of Science 1. Larger Scope of Activity  Computational complement to every field Theoretical   Experimental Observational Computational Applied Discovery speed-ups due to modeling, simulation, and prediction Shift from characterization to pro-active construction in tight feedback loops enabling new fields: synthetic biology January 9, 2014 FQXi Source: Kido, Swan, et al. Systematic evaluation of personal genome services. Nature: Journal of Human Genetics (2013) 58, 734–741. 10
  • 11. Expanded Concept of Conduct of Science 2. Larger Scale of Activity  Harnessing technology-driven crowd models Institutional Research Crowdsourced Participation Citizen Science Organized  Quantified Self Data Analysis  Peer Studies  Data Competitions  DIY Community      Data Collection Serious Gaming  3D Bioprinting Faster, lower-cost, orders-of-magnitude scale-up (permutation) The crowd as big data processing nodes January 9, 2014 FQXi Source: Swan, M. Crowdsourced Health Research Studies. J Med Internet Res (2012) 14(2):e46. 11
  • 12. Information Connects Science and Society  Wholly different relation to information Formerly everything signal, now 99% noise  Exception, variability, probability, patterns, prediction  New kinds of information    Longitudinal baseline measures, normal deviation patterns, contingency adjustments, anomaly, emergence Multiple data analysis paradigms: time, frequency, episode, cycle  New kinds of models supplementing scientific method  Machine learning, hierarchical representation, neural networks, information visualization January 9, 2014 FQXi Source: Swan, M. The Quantified Self. Big Data (2013) 1(2): 85-99. 12
  • 13. Sense of Ourselves as Information Generators January 9, 2014 FQXi 13
  • 14. Summary: Science and Society  New era of scientific discovery with a greatly expanded range of possibilities due to big data, computation, and crowd participation  Our attunement to technology as an enabling background helps us see the possibilities for the true meaningfulness of our being - Heidegger January 9, 2014 FQXi Source: Heidegger, M. The Question Concerning Technology (1954). 14
  • 15. Science and Society Thank you! Melanie Swan m@melanieswan.com January 9, 2014 Vieques, Puerto Rico Slides: http://slideshare.net/LaBlogga