Understanding Social and Economic Data Technical notes John M. Abowd and Lars Vilhuber February 1, 2016.

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Understanding Social and Economic Data Technical notes John M. Abowd and Lars Vilhuber February 1, 2016

Videoconferencing 10 sites, ~100 participants Multiple technologies

Some basic rules Please mute your mike when not speaking! Source:

Getting attention Walk to the camera – Unmute your mike Write the question on the discussion forum Source:

What discussion forum?

Other technologies Source:

Use of edX platform We are a SPOC – S mall – P rivate – O nline – C lass

Combination of resources Primary information: – Calendar – Links to all other sites – Syllabus Day-to-day information: edge.edx.org/courses/course- v1:CornellX+INFO7470x+2016/info edge.edx.org/courses/course- v1:CornellX+INFO7470x+2016/info (or just go to the primary site and follow links) Content : – Recorded videos – All quizzes/exercises/labs – Suggested readings – Discussion forums

Calendar Filter by presenter, type of class

edX We will enroll you – If you have never used edX, you will get an – If you have previously used edX, you’re all set

edX Once enrolled, you will – View videos for designated sessions – Do quizzes, exercises for ALL sessions – Participate in the discussion forums – See updates/news from instructors

Role of the classroom We meet every week, unless otherwise cancelled – February 15 (President’s day) – March 28 (Cornell Spring Break) Live sessions (1-2, 7, 10-14) – Core material presented in class – Discussion in classroom and online forum Flipped classroom sessions (3-6) – Core material presented on edX – Discussion in classroom and online forum Hybrid (8-9)

Hybrid sessions In some sessions, which we will call “hybrid” – Part of the topics covered in the session are “flipped classroom” materials on edX – Additional topics are handled in “live presentation” no edX materials available primary information source is the live presentation We aim to have no more than 2.5 hours of total material in any class

Exercises and labs First half of the class – Quizzes – Self-assessment Second half of the class – Computational exercises in programming language of your choice – Project proposal – Peer-assessment (of programming, of writing)

Instructor team Instructors (vrdc.cornell.edu/info747x/summary/#Instructors)vrdc.cornell.edu/info747x/summary/#Instructors John Abowd Lars Vilhuber Warren Brown Assisted by (vrdc.cornell.edu/info747x/summary/team/)vrdc.cornell.edu/info747x/summary/team/ Flavio Stanchi Sylverie Herbert

Guest lecturers Session 2: Margo Anderson, University of Wisconsin-Milwaukee Session 4 Connie Citro, Committee on National Statistics (CNSTAT) Session 7 Brent Hueth, University of Wisconsin-Madison Jennifer Parker, National Center for Health Statistics Kristen Monaco and Nicole Nestoriak (BLS)

Guest lecturers Session 8 Matthias Umkehrer, Institute for Employment Research, Germany Matthias Umkehrer, Institute for Employment Research, Germany Kristen Monaco (BLS) Session 9 Jacob Bournazian, Energy Information Administration