Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent. http://www.bath.ac.uk/ipr/events/news-0230.html.

1. Data Journalism and the
Remaking of Data Infrastructures
University of Bath | Institute for Policy Research |14 September 2016
Liliana Bounegru | University of Groningen and University of Ghent | lilianabounegru.org

2. Washington, I. (2013). “Overcome your fear of numbers, uncover great stories like these.”
http://journalists.org/2013/03/19/overcome-your-fear-of-numbers-uncover-great-stories-like-these/

3. Rogers, S. (2011). “Data journalism broken down: what we do to the data before you see it.”
https://www.theguardian.com/news/datablog/2011/apr/07/data-journalism-workflow

4. “‘Just good enough data’ ... creates a shared space for discussion that can communicate community
awareness of pollution events to regulators.” (Gabrys, J. & Pritchard, H. 2015. “Next-Generation
Environmental Sensing: Moving Beyond Regulatory Benchmarks for Citizen-Gathered Data.”)

5. Data have publics

7. Data journalism and the making and remaking of data
infrastructures
1. Data journalism as intervention in data infrastructures
2. Data journalism and tool ecologies for the valorisation of data

8. CHANGING
WHAT
COUNTS
CHANGING
WHAT
COUNTS
HOW CAN CITIZEN-GENERATED AND CIVIL
SOCIETY DATA BE USED AS AN ADVOCACY TOOL
TO CHANGE OFFICIAL DATA COLLECTION?
Jonathan Gray
Danny Lämmerhirt
Liliana Bounegru

9. Bounegru, L. & Venturini, T. (forthcoming). “Mapping Journalism
Code Ecologies for the Valorisation of Data on GitHub.”

10. Data journalism and the making and remaking of data
infrastructures
1. Data journalism as intervention in data infrastructures
2. Data journalism and tool ecologies for the valorisation of data

11. 1. Data journalism as intervention in data infrastructures:
some tactics and examples
1.1 Make your own data
1.2 Reverse engineering

12. 1. Data journalism as intervention in data infrastructures:
some tactics and examples
1.1 Make your own data
1.2 Reverse engineering

13. – Moradi, J. (2011). “What do open sensor networks mean for journalism?”
http://javaunmoradi.com/blog/2011/12/16/what-do-open-sensor-networks-mean-for-journalism/
“If stage 1 of data journalism was ‘find and scrape data,’
then stage 2 was ‘ask government agencies to release
data,’ in easy to use formats. Stage 3 is going to be
‘make your own data.’”

14. http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/the-counted-police-killings-us-database

15. https://www.theguardian.com/us-news/2015/oct/08/fbi-chief-says-ridiculous-guardian-washington-post-
better-information-police-shootings

16. 1. Data journalism as intervention in data infrastructures:
some tactics and examples
1.1 Make your own data
1.2 Reverse engineering

17. First: John
Middle:
Last: Public
DOB: 01/01/1975
SSN: 1234
State: Colorado
First: John
Middle: Q.
Last: Public
DOB: 01/01/1975
SSN: 1234
State: Kansas
Potential match
http://projects.aljazeera.com/2014/double-voters/

19. Data journalism and the making and remaking of data
infrastructures
1. Data journalism as intervention in data infrastructures
2. Data journalism and tool ecologies for the valorisation of data

20. https://d3js.org/

21. https://github.com/search?q=stars:%3E1&s=stars&type=Repositories

22. Bounegru, L. & Venturini, T. (forthcoming). “Mapping Journalism
Code Ecologies for the Valorisation of Data on GitHub.”

28. https://github.com/california-civic-data-coalition/django-calaccess-raw-data

29. https://sunlightlabs.github.io/congress/

30. https://securedrop.org/

31. https://github.com/themarshallproject/klaxon

32. https://github.com/wnyc/django-crowdsourcing

33. https://github.com/sunlightlabs/openstates

34. The mediating capacities of journalism code.

36. https://github.com/newsdev/elex

38. https://github.com/motherjones/grunt-gss-pull

40. Thank You!
Liliana Bounegru | University of Groningen and University of Ghent |
lilianabounegru.org | @bb_liliana