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Social Media Playground

Social Media Playground. THE CREDIBILITY CRISIS IN COMPUTATIONAL SCIENCE: AN INFORMATION ISSUE Speaker: Victoria Stodden Dean's Lecture Wednesday, February 1, 2012, 4:10 pm - 5:30 pm 210 South Hall

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Social Media Playground

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  1. Social Media Playground

  2. THE CREDIBILITY CRISIS IN COMPUTATIONAL SCIENCE: AN INFORMATION ISSUE Speaker: Victoria Stodden Dean's Lecture Wednesday, February 1, 2012, 4:10 pm - 5:30 pm 210 South Hall Scientific computation is emerging as absolutely central to the scientific method, but the prevalence of very relaxed practices is leading to a credibility crisis affecting many scientific fields. It is impossible to verify most of the results that computational scientists present at conferences and in papers today. Reproducible computational research, in which all details of computations — code and data — are made conveniently available to others, is necessary for a resolution of this crisis. This requires a multifaceted approach including policy solutions, computational tools for data and code dissemination, curation and archiving, and open licensing frameworks such as the Reproducible Research Standard. Bio:  Victoria Stodden is assistant professor of statistics at Columbia University and serves as a member of the National Science Foundation’s Advisory Committee on Cyberinfrastructure (ACCI), and on Columbia University’s Senate Information Technologies Committee. She is one of the creators ofSparseLab, a collaborative platform for reproducible computational research and has developed an award winning licensing structure to facilitate open and reproducible computational research, called the Reproducible Research Standard. She is currently working on the NSF-funded project “Policy Design for Reproducibility and Data Sharing in Computational Science.” Victoria co-chaired a working group on Virtual Organizations for the NSF’s Office of Cyberinfrastructure Task Force on Grand Challenge Communities in 2010. She is a Science Commons fellow and a nominated member of the Sigma Xi scientific research society. She also serves on the advisory board for hackNY.org, and on the joint advisory committee for the NSF's EarthCube, the effort to build a geosciences-integrating cyberinfrastructure. She is an editorial board member for Open Research Computation and Open Network Biology. She completed her Ph.D. and law degrees at Stanford University. Her Erdös Number is 3.

  3. Geek Cave Harvard Open Access Project (HOAP) H2O Information Quality in the Digital Age metaLAB Special Projects - Professor Urs Gasser Special Projects - Professor Jonathan Zittrain • Broadband • Civic Engagement in Developing and Transitioning Countries • Cloud Computing Law and Policy • Cybersecurity • Digital Libraries • Freedom of Expression • Youth and Media Lab

  4. Today • Announcements (talk, summer, lab) • Glitches? • Servers and Clients and Feeds • One to many, many to one • Synchronous/Asynchronous • Push/Pull • Email • Wikipedia • Blogs • Twitter • Facebook • YouTube • Explore & Questions & Experience

  5. Servers and Clients • Server = program/machine that accepts and fulfills requests over a network • Client = program (usually with UI) that translates user request into server request & displays received data • “conversation” follows a protocol (rules for how you ask for things and how you interpret what you get)

  6. Examples • Safari, Firefox, Chrome are web clients • Apache is web server software • Mills has a web server machine that runs this software (or some other) • HTTP is the protocol they use to converse

  7. Feeds -- RSS • RSS=really simple syndication • “syndicate” ~ distribute • “feed” = server that can be “followed” • User gives URI of feed to “reader” or “aggregator” • Reader checks regularly for updates

  8. Email as Network To: amy@here.com From: bob@there.com CC: cam@yonder.com, don@wherever.com cam amy bob don

  9. Draw the Email Network cam bob eve amy gil don fin

  10. Draw 2 mode network subject/recipient A C B amy bob cam don eve fin gil

  11. Fill in Matrix for “emails in common” A C B amy bob cam don eve fin gil

  12. Before and After

  13. Twitter ReTweet ReTweet Tweet “Real” name Username Mention User Avatar Time/Date Modified Tweet Hashtag

  14. Twitter Networks • Who follows whom • Who mentions whom • Who retweets whom • Who gets mentioned together • What hashtags mentioned by whom

  15. Twitter djjr … …

  16. Followed/Followers not necessarily distinct A A djjr

  17. Links among my followed/follwers djjr

  18. What does network look like if we all follow one another?

  19. Blog Networks • A follows B • A commented on B

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