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ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz
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ICPSR - Complex Systems Models in the Social Sciences - Lecture 6 - Professor Daniel Martin Katz

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  1. Daniel Martin Katz Michigan State University - College of Law Complex Systems Models in the Social Sciences (Lecture 6)
  2. This is the Era of “Big Data” Decreasing Data Storage Costs Increasing Computing Power Fundamentally Altering the Scope of Scientific & Technical Possibility
  3. Highlighting the Data Deluge 2008 2009 2010
  4. Highlighting the Data Deluge 2011 2011
  5. Highlighting the Data Deluge
  6. So How Big is ‘Big’?
  7. How Much Data Is a Petabyte?
  8. How Much Data Is a Petabyte?
  9. How Much Data Is a Petabyte?
  10. How Much Data Is a Petabyte?
  11. How Much Data Is a Petabyte?
  12. How Much Data Is a Petabyte?
  13. How Much Data Is a Petabyte?
  14. How Much Data Is a Petabyte?
  15. How Much Data Is a Petabyte?
  16. Implications for the Economy
  17. Erik Brynjolfsson is the Schussel Family Professor at the  MIT Sloan School of Management , Director of the MIT Center for Digital Business, Chair of the MIT Sloan Management Review , and the Editor of the Information Systems Network Andrew McAfee, a principal research scientist at MIT’s Center for Digital Business, studies the ways that information technology (IT) affects business.
  18. . .. .... .. ...... .... ............ 128 256 512 1024 2048 4096 327688192 16384 65536 131k 262k 524k 1M 2M 4M ................................................................ 8M ................................ 16M 33M 67M 134M 268M 536M 1B 2B 4B 8B 17B 34B 68B 137B 274B 549B 1T 2T 4T 8T 17T 35T 70T 140T 281T 562T 1Q 2Q 4Q 9Q 18Q 36Q 72Q 144Q 288Q 576Q 1QT 2QT 4QT 9QT
  19. Implications for Science + Engineering
  20. How About This One ...
  21. 2004 Darpa Grand Challenge
  22. Goal: Build a Driverless Car that Could Travel 150 miles
  23. Winning Vehicle Traveled only Eight Miles
  24. Fast Forward to 2012 ...
  25. Some Applicable Terms That Will Drive The Future
  26. Natural Language Processing Clustering Knowledge Representation Machine Learning Feature Selection Feature Extraction Classification
  27. http://www.drewconway.com/zia/?p=2378
  28. A Simple Demo of Machine Learning
  29. Smarter Than You Think ...
  30. Smarter Than You Think ...
  31. A Brief Discussion of the McKinsey Study
  32. http://www-01.ibm.com/software/data/bigdata/industry.html
  33. Financial Services Help agents find patterns, understand context and flag abuse by analyzing customer correspondence in conjunction with structured information. Predict consumer behavior by using cross-line of business details to correlate consumer debt ratios and transaction patterns. Automate entity identification and risk profiling based on SEC and other regulatory filings, with the ability to assemble, model and stay current on large volumes of information. Consume, analyze and act on real-time market data while maintaining sub-millisecond response times, even under extreme data loads.
  34. Retail Analyze social media data in conjunction with customer buying data to predict customer behavior, and track sentiment and brand perception. Monitor social media sources for rumors, deliberate false information, and impersonation of employees to more quickly understand and correct misinformation. Issue marketing promotions, analyze their success in real time, and adapt promotions to optimize outcome. Analyze linkages between specific online advertising and recommendations to buying behavior so that you can strategically merchandise and place effective advertising. Run highly complex pattern detection algorithms on years, rather than months of transaction data, allowing the organization to rapidly detect and respond to new fraud scenarios and exposures. (Also True of Financial services)
  35. Healthcare Perform complex real-time analytics on physiological streams of data in ICU environments to detect life-threatening conditions in time to proactively intervene. Manage and analyze real-time sensor data to assist chronic disease patients. Capture and analyze clinical information from electronic health records to speed the creation and diffusion of medical knowledge. Track a wide variety of data streams and leverage prior benchmarks to potentially help to expose the early signs of an epidemic
  36. Telecom Perform real-time mediation with the ability to handle billions of call detail records per day. Process real-time call data to predict customer churn and remediate customer satisfaction issues (ex: dropped calls) as soon as they happen. Enable real-time geo-mapping and marketing promotions. Analyze social media data with customer buying data to predict customer behavior and track sentiment and brand perception. Unlock the insights embedded in call center voice recordings by doing voice-to-text conversions, then performing advanced text analytics on the converted recordings.
  37. The Artificial Intelligence Revolution is On
  38. The Artificial Intelligence Revolution is On
  39. http://www.youtube.com/watch?v=lI-M7O_bRNg&feature=relmfu Watch This On Your Own
  40. http://www.youtube.com/watch?v=DywO4zksfXw&feature=related Watch This On Your Own
  41. A Brief Word About Data Driven Theory Building
  42. Hypothesis Testing is the Core of Mainstream Science
  43. Deduction
  44. Popperian Falsification
  45. Partial or Complete Induction
  46. Is the Alternative
  47. In Case You Did not Know
  48. This is an Inductive Age
  49. This is the Age of Aspirational Spelling (Spelling is 1.0 Thinking)
  50. The Inverse Problem
  51. Kepler v. Newton
  52. Net Flix Prize -- From the AT&T Labs http://www.youtube.com/watch?v=ImpV70uLxyw
  53. The Music Genome Project
  54. A Brief Word About Data Driven Theory Building One Billion Clicks Can Be the Basis for a Theory Generation The Hypothesis Testing Frame is not the only way to do Science
  55. Validation Can Be Achieved Through Either: (1) Out of Sample Testing (2) Forward Prediction A Brief Word About Data Driven Theory Building http://en.wikipedia.org/wiki/Netflix_Prize http://www.wired.com/epicenter/2009/09/ how-the-netflix-prize-was-won/ Example:
  56. This is the Age of Aspirational Spelling (Spelling is 1.0 Thinking) Additional Examples
  57. Additional Examples People Who Bought X Also Bought Y Collaborative Filtering
  58. The Science of Similarity What Makes a Set of High Dimensional Objects ‘Similar”? Movies People Words Music Books Crowd Sourced Human Reasoning is Helping Develop a ‘New’ Science of Similarity
  59. Computer Forensics Drawn from Jesse Kornblum 1. Feature Extraction 2. Feature Selection 3. Comparison 4. Clustering 5. Classification 6. ??? The ‘???’ means: – Which features to extract – Which similarity measure to use – Which classification algorithm The Science of Similarity
  60. Machine Learning
  61. http://www.youtube.com/watch? v=yDLKJtOVx5c&feature=results_video&playnext=1&list=PLD0F06 AA0D2E8FFBA
  62. http://www.youtube.com/watch?v=EFrgVDniDqU&feature=related
  63. If you Want a Full Course in the Topic It is Free From Stanford University
  64. http://www.forbes.com/sites/oreillymedia/ 2012/01/05/goodbye-information-economy- hello-feedback-economy/
  65. http://blog.ted.com/2010/07/14/when_ideas_have/ When Ideas Have Sex By Matt Ridley
  66. Why I Am Interested in (Obsessed with) Analogy
  67. Analogy
  68. Deep End of Human Reasoning?
  69. What Makes an Analogy Convincing?
  70. Analogical Reasoning
  71. Law
  72. Thinking Like a Lawyer
  73. Psychology
  74. The Availability Heuristic (Related but not exactly on point)
  75. Science
  76. Interdisciplinary Scholarship
  77. Markets
  78. Emerging Technology Venture Capital Pricing Model Arbitrage Detection
  79. Emerging Technology Venture Capital Pricing Model Arbitrage Detection Analogy
  80. How Much is Facebook Worth? Do I have the right analogy? 1 billion 10 billion 100 billion 500 billion
  81. The Science of Similarity
  82. and of course
  83. The Curse of Dimensionality
  84. The Revolution in Soft Artificial Intelligence
  85. Computer Forensics Drawn from Jesse Kornblum 1. Feature Extraction 2. Feature Selection 3. Comparison 4. Clustering 5. Classification 6. ??? The ‘???’ means: – Which features to extract – Which similarity measure to use – Which classification algorithm
  86. My hope is that the AI Revolution will allow us to better understand analogical reasoning as it is a critical for a large number questions we care about .....

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