Reproducible research and analysis sharing

  • Event: 2016 CAR Conference
  • Speakers: Bill Alpert of Barron's; Christopher Groskopf of Quartz; Timo Grossenbacher of Swiss Public Broadcast (SRF); Michelle Minkoff of The Associated Press; Serdar Tumgoren of Stanford University
  • Date/Time: Friday, Mar. 11 at 3:30pm
  • Location: Colorado E
  • Audio file: Only members can listen to conference audio

**Moderated by Serdar Tumgoren, The Associated Press

Data analysis has been at the heart of the NICAR community for years, and many journalists are now upping their game by adopting best practices from the scientific community. This panel will convene sundry news nerds to discuss their approaches and tools of choice for producing "push-button", reproducible analyses, as well as how they share such analyses with colleagues in the newsroom and the public.

Speaker Bios

  • Bill Alpert is a Senior Editor at Barron’s, The Dow Jones Business and Financial Weekly, where since 1984 he has published nerdy stories and investigative projects of use to investors. His exposes have also been followed by stock fraud prosecutions, government recoveries under the False Claims Act, and reforms in such diverse areas as “back-door” stock exchange listings, for-profit colleges, and the Magnitsky Act that sanctions international human rights violators. 

  • Christopher Groskopf is the Data Editor at Quartz where he uses and teaches data analysis techniques for news. He is also the author of of the Quartz Guide to Bad Data and the creator of open source tools such as csvkit, agate, and proof. Previously, Chris worked on the NPR Visuals team, built the PANDA Project, and wrote code for the Chicago Tribune. He lives in Tyler, TX.

  • Timo Grossenbacher collects, analyzes and visualizes data and researches stories for SRF Data (@srfdata), the data-driven journalism unit of Swiss Public Broadcast (SRF). He studied Geography and Computer Science at the University of Zurich, Switzerland. He is co-organizer of the Zurich chapter of Hacks/Hackers (HHZRH) and the creator of the largest online collection of resources for doing data journalism with R (http://rddj.info). @grssnbchr

  • Michelle Minkoff is a Data Journalist at the Associated Press since 2011. Minkoff designs & develops data visualizations and creates, cleans and analyzes data sets, with an interest in environmental reporting, recently completing a project on national dam safety. Previously, she worked at PBS and the LA Times. She taught data journalism at Northwestern's Medill School, of which she is a 2010 graduate. Connect with her @michelleminkoff on Twitter.

  • Serdar Tumgoren teaches data journalism at Stanford University. He previously worked on data and news apps teams at The Associated Press, The Washington Post and Congressional Quarterly. @zstumgoren

Related Tipsheets

  • Reproducible Research
    The following slides go through everything from what reproducible research means, why we should apply the scientific research method into journalism and how to do it right. You can get the slides from this repo as well: https://github.com/blalpert/nicar2016handouts

  • Reproducible Research and Analysis Sharing
    The following slides share some useful links for you to learn about reproducible research and analysis.