The presentation Sarah Schulman and Daniela Kraemer gave at the ESDRC conference at 28th November 2015.

1. @inwithforward
dr. Daniela Kraemer
dr. Sarah Schulman
Grounded
Data with a story

2. we try to turn social safety
nets into trampolines.

3. we’re a team of sociologists,
anthropologists, and designers.

4. it all starts with people.

5. How can we flip the order of
the policy process?
people
interactions
policypolicy
programs
people
from: to:

6. #disability
#homelessness
#youth
#addiction
#family
#domestic violence
A mixed track record:

7. Canadian case study #1
a new service delivery
model for day programs
an interagency social
R&D space

8. the
learning
circleGrounded
a new set of practices
for drop-ins
a social policy
feedback loop
capacity building for
the social sector
Canadian case study #2

9. What do you know about the
people your policies serve?

10. you know numbers, trends,

11. service utilization,

12. and costs.

13. What don’t you know about the
people your policies serve?

14. Dwayne, age 44

16. Dwayne, age 44
context barriersmotivations perceptions

17. Thick data offers portraits of
the expensive anomalies.
Big data
offers
statistical
snapshots.

18. how do we create a pipeline
for thick data?

19. individuals organizations policy
Thick data offers insights
for 3 user groups:

20. meet Pat and Vanessa

21. sharing their ER
experience, 60 minutes
after discharge.

22. reclaiming their narrative, and
a sense of agency & control.

23. meet Lindiwe.

24. average conversation length:
2 minutes

25. chaotic context for rigorous
data collection or analysis.

26. data as accountability tool,
not learning tool.

27. meet Marissa and Stephanie.

28. they feel disconnected from how their
policies play out. 2/3 of their
colleagues agreed.

29. Enter Grounded.
Real time data of how
policy and programs are
playing out.

30. Narratives to build empathy.
Rich, empathy-building
narratives of people living
on the margins

31. Aggregated by segment, sector, theme
Aggregated data across
social service sectors to
get a holistic view.

32. 1) location data with pictures, video, sound
2) experience data of service interactions
3) time usage versus actual outcomes
4) longitudinal - what hinders an outcome
Grounded collects 4 types of content:

33. 1) walk alongsiders are trained grad students
2) recorders are end users trained to document
Grounded creates 2 new roles:

34. 1) data input
2) data visualization
Grounded has digital tools for

35. When might you use this data?
What are the use cases?

36. shape surveys and
consultations
source creative
solutions & options
inform procurement
& training
Grounded might:

37. quantitative data thick data
why? to validate ‘what is’ to generate ‘what could be’
when? point-in-time over-time
where? one context across contexts
who? average extremes
how? surveys, interviews,
biometrics
observation, conversation,
projection, co-design
how many? large sample size small sample size
so what? generalizable knowledge:
findings, reccs
situated know-how:
practices, services
in summary

38. www.inwithforward.com
dr. Sarah Schulman
sarah@inwithforward.com
@inwithforward
www.torontoinout.ca
Learn more about what we do:
www.fifthspace.ca