Dr Abel Sanchez at Bristlecone Pulse 2017 MIT
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Dr. Abel Sanchez, Ph.D, Executive Director, MIT Geospatial Data Center (GDC), talks about connected intelligence at Bristlecone Pulse 2017 at MIT.
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Dr Abel Sanchez at Bristlecone Pulse 2017 MIT
- 1. Connected Intelligence Abel Sanchez & John Williams MIT Campus | Cambridge, MA
- 2. University of Bologna - 1088
- 7. Connecting Physical to Virtual
- 18. Finding the Open Receiver: A Quantitative Geospatial Analysis of Quarterback Decision Making Jeremy Hochstedler
- 21. Police complaints drop 93 percent after deploying body cameras
- 23. 50Billion connected devices by 2020
- 24. Web 4.0
- 25. Shortcomings of the web • Over 2 billion unplugged • A large part of the world does not have access to the benefits • Dominated by large corporations • Products for those with access • Privacy from corporations and government • We are our data yet we do not control our data • Censorship • the great firewall of China • Provenance • Where does our food come from? • Transparency and veracity • Government accountability • Fake news
- 26. Advantages • No third parties • No fees (lower fees) • Faster • Privacy • Less Censorship • More robust systems • Foundation for services and products
- 27. Education’s Digital Transformation Abel Sanchez & John Williams MIT Campus | Cambridge, MA
- 28. Students & Instructors Master Courses Content Delivery Courses Collaboration Progress Tracking Assignments Practices & Exams Hosting Course Navigation Self Registration SCORM & Standards Learning Management System Learning Management Systems
- 29. Learning Management Systems Faculty Students Learning Management System Internal Publishing
- 30. Open Courseware (OCW) Faculty Content Repository External Publishing No assessment, guidance, or credit
- 32. Massive Open Online Course (MOOC) Faculty Students Learning Management System Some assessment, guidance, no credit
- 34. Small Private Online Course (SPOC) Faculty Students Learning Management System Possible assessment, guidance, and credit
- 35. Active Learning
- 36. Other Models
- 39. Few Get In
- 41. MIT.x MicroMaster Assessment, guidance, credit if admitted High Performers no yes MIT Admission MIT Online Course Work Open to Everyone
- 42. Open access. Performance on MIT course work determines success
- 45. Bootcamps
- 47. We need to be faster • We need to shorten the feedback cycle for students • We need to shorten the content creation cycle for faculty • We need to have comprehensive analytics
- 48. 360 Student View
- 49. Predictive Modeling for Student Interventions
- 50. Predict Performance On First Day
- 51. Help lower performing students
- 53. Explore Paths to Graduation
- 54. Student Wellness
- 55. EDX - BIG DATA
- 56. Speaking Speed 120 words per minute? 150 words per minute? 180 words per minute?
- 57. Speaking Length 60 minutes? 30 minutes? 15 minutes?
- 58. Students preferred hand- diagrams by a “substantial- margin”
- 59. MY CLASSROOM
- 60. Requirements Before Class • Watch video • Take mini-quiz
- 61. In Class • 3 cycles of • Mini-Lectures • Active Learning • Source code • Tested • Analyzed • Best solutions identified • Everyone walks out with a grade
- 62. Quizzes • Authentic Examinations • Students write/run programs • Students • Checkout code • Submit solutions • Are evaluated real-time
- 63. Forums • Class policy, all questions must be posted on the class forum (piazza). • Solutions posted on forum • Announcements posted on forum • Participation pointes given for answering a peer’s question
- 64. Data Collected • Every keystroke: • Video watching • Pre-class quizzes • Active learning code • Homework • Quizzes • Forum activity
- 65. THE EDUCATION LANDSCAPE IS CHANGING FAST
- 66. Video Content Explosion – Video Learning
- 67. Twitter YouTube Google Search Google Docs/Drive PowerPoint DropboxFacebook WordPress Skype Evernote Prezi Wikipedia Pinterest LinkedIn Moodle iPad and Apps Kahoot Blogger PowToon Slideshare WhatsApp Google Chrome & Apps Google Hangouts Snagit Audacity Articulate Storyline Screencast-O-matic Yammer Padlet Word Camtasia Socrative Khan Academy Adobe Connect TED Talks/Ed Feedly Canvas Adobe Captivate Edmodo Google+ iSpring Suite Diigo Google Scholar Coursera SharePoint OneNote Explain Everything Videoscribe Pocket Nearpod Office Mix Gmail Udutu Google Translate KeynoteExcel JingAdobe Photoshop Google Apps Scoopit Schoology Outlook GoAnimate SurveyMonkey Kindle & App Google Maps Notability Google Sites Quizlet Sway Vimeo WebEx Instagram Firefox & Add-ons iTunes and iTunesU iMovie Blackboard Collaborate Movie Maker Poll Everywhere Tweetdeck Canva TrellSlacko IFTTT EDpuzzle Flipboard Udemy Todays Meet ThingLink Easygenerator Lectora Inspire Haiku Deck Piktochart Adobe Acrobat DC Blackboard Learn Wordle Mentimeter SoftChalk edX DeliciousPiazza 100 Tools for Learning
- 75. Only 20% of today’s workforce have the skills they’ll need for 60% of the jobs that will exist in the next five to 10 years. [https://hbr.org/2016/09/the-solution-to-the-skills-gap-could-already-be-inside-your-company]
- 76. • Abel Sanchez Connected Intelligence Abel Sanchez & John Williams MIT Campus | Cambridge, MA
- 77. How most companies build software is broken, programmers write code in single player mode [https://techcrunch.com/2017/10/06/sourcegraph-raises-20m-bring-more-live-collaboration-to-programming/]
- 78. The Problem of Discovery • Discovering, exploring, selecting, and consuming are costly. • The sole question of discovery can be daunting on a single academic department. • Extending the discovery to a campus, an organization is a huge challenge.
- 79. Reproducibility • 100 psychology experiments repeated, less than half successful (Science 08/28/2015) • 67 Economics papers 50% could no be independently replicated (Federal Reserve 9/4/2015) • 53 'landmark' cancer publications, majority cannot be replicated (Nature, 3/28/2012)
- 80. Measuring Reproducibility in Computer Systems Research
- 82. Current projects take too long, especially data science projects • In the research space, we continuously reinvent the wheel.
- 83. Today’s Big Difference: An Industry Built on Reuse • Uber, Air Bnb, Amazon, etc • An ecosystem of technologies to support building fast, a new generation of technologies
- 84. A New Generation of Technology • Cloud computation • Agile Application Servers • VMs – e.g. AWS • Representational State Transfer – REST • Microservices • Containers and Data Stores • Containers • Package Management • Data Stores • Data Services • Blockchain & Machine Learning • GIT, CI, CD • DApps • Merkle Trees • Internet ML Services • Hardware & Devices • Commodity Hardware • Async Computation • Pub/Sub Streaming
- 87. Concepts • Channels: data from a service • Triggers (this): "trigger” based on condition • Action (that): action taken on trigger input • Recipes: are the predicates made from Triggers and Actions • Ingredients: are basic data made available from a trigger
- 89. Our goal is analytics • Faster feedback loops • Identify the stars • Accelerate knowledge creation • Target investment
- 90. Q&A