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Information, Science, and Society
 

Information, Science, and Society

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We are in an exciting new era of scientific discovery with a greatly expanded range of possibilities due to big data, computation, and crowd participation

We are in an exciting new era of scientific discovery with a greatly expanded range of possibilities due to big data, computation, and crowd participation

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    Information, Science, and Society Information, Science, and Society Presentation Transcript

    • 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