Talk given at the Digital Methods Winter School 2016, University of Amsterdam, Netherlands, 11 January 2016.

1. What Does a Good Digital
Methods Project Look Like?
11 January 2016, University of Amsterdam
Liliana Bounegru | lilianabounegru.org | @bb_liliana
Some Highlights from the DMI
Winter and Summer Schools 2015

2. DMI Winter School 2015!
!
Show Me Your Dashboard: New Media
Monitoring and Data Analytics as
Critical Practice

3. How may we identify and develop
critical data analytics?

5. The People’s Dashboard

6. Where is the social in social media
platforms?

7. The People’s Dashboard (2015). https://wiki.digitalmethods.net/Dmi/PeoplesDashboard
Facebook Instagram LinkedIn
Twitter YouTube LastFm

8. The People's Dashboard plug-in for Facebook: http://bit.ly/peoplesdashboard

9. The Hong Kong Protests
Through the Eyes of Weibo

10. How may we study public sentiment
on social media platforms?

11. The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/
TheHongKongProtestsThroughTheEyesOfWeibo

12. The Hong Kong protests through the eyes of Weibo (2015). https://wiki.digitalmethods.net/Dmi/
TheHongKongProtestsThroughTheEyesOfWeibo

13. DMI Summer School 2015!
!
Post-Snowden Media Empiricism and
Secondary Social Media: Data Studies
Beyond Facebook and Twitter

16. How may we rethink the study of online
media post-Snowden?
!
What value do secondary social media
platforms have for research?

17. Political Memes in a Globalised World:!
Does Love Win?

18. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin

19. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin

20. Can we map the geographies of
expressions of support and their
counter-reactions?

21. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin

22. Does Love Win? The Mechanics of Memetics (2015). https://wiki.digitalmethods.net/Dmi/
SummerSchool2015DoesLoveWin

23. #Whomademyclothes - Seeking the
Voices of the Workers

25. Can we find the voices of the
workers online? How can we profile
them?

26. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes

27. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes

28. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes

29. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes

30. #Whomademyclothes - Seeking the voices of the workers (2015). https://wiki.digitalmethods.net/Dmi/
HTwhomademyclothes

31. Tracking Ecologies

32. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

33. Can we identify tracker styles per
website type?

34. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

35. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

36. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

37. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

38. Tracking Ecologies (2015). https://wiki.digitalmethods.net/Dmi/SummerSchool2015TrackingEcologies

39. Micro-Temporalities of the Web

40. What is the ‘page weight’ of bugs
(trackers, beacons, widgets and other
devices) and how can we experience
their micro-temporalities differently?

41. Micro-Temporalities of the Web (2015). http://gauthiier.github.io/www-micro-temporalities/

42. Some data sprint tips from last year’s project coordinators
• Spend time with your data.
• Test hypotheses and tools on small datasets first.
• Don't start with theory but start with the question, the claims (in
the literature or press) and the data; let the data inform theory.
• Let your expectations be challenged and shaped by the data.
• Split big groups into subgroups.
• Be persistent - there are always ups and downs.
• Take your coffee breaks :-)

43. Thank you!
Liliana Bounegru | lilianabounegru.org | @bb_liliana