grounded, data with a story
TRANSCRIPT
@inwithforwarddr. Daniela Kraemer dr. Sarah Schulman
Grounded Data with a story
we try to turn social safety nets into trampolines.
we’re a team of sociologists, anthropologists, and designers.
it all starts with people.
How can we flip the order of the policy process?
people
interactions
policypolicy
programs
people
from: to:
#disability #homelessness #youth #addiction #family #domestic violence
A mixed track record:
Canadian case study #1
a new service delivery model for day programs
an interagency social R&D space
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
What do you know about the people your policies serve?
you know numbers, trends,
service utilization,
and costs.
What don’t you know about the people your policies serve?
Dwayne, age 44
Dwayne, age 44
context barriersmotivations perceptions
Thick data offers portraits of the expensive anomalies.
Big data offers statistical snapshots.
how do we create a pipeline for thick data?
individuals organizations policy
Thick data offers insights for 3 user groups:
meet Pat and Vanessa
sharing their ER experience, 60 minutes after discharge.
reclaiming their narrative, and a sense of agency & control.
meet Lindiwe.
average conversation length: 2 minutes
chaotic context for rigorous data collection or analysis.
data as accountability tool, not learning tool.
meet Marissa and Stephanie.
they feel disconnected from how their policies play out. 2/3 of their colleagues agreed.
Enter Grounded.
Real time data of how policy and programs are playing out.
Narratives to build empathy.
Rich, empathy-building narratives of people living on the margins
Aggregated by segment, sector, theme
Aggregated data across social service sectors to get a holistic view.
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:
1) walk alongsiders are trained grad students
2) recorders are end users trained to document
Grounded creates 2 new roles:
1) data input
2) data visualization
Grounded has digital tools for
When might you use this data? What are the use cases?
shape surveys and consultations
source creative solutions & options
inform procurement & training
Grounded might:
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
www.inwithforward.com
dr. Sarah Schulman [email protected] @inwithforward
www.torontoinout.ca
Learn more about what we do:
www.fifthspace.ca