Core principles for engaging young people in community change
Community Change in 3D_deskridge_2014
-
Upload
dara-eskridge-leed-ap-nd -
Category
Documents
-
view
88 -
download
1
Transcript of Community Change in 3D_deskridge_2014
Community Change in 3DTHE POWER OF DATA-DRIVEN DECISION MAKING
Dara Eskridge-AndersonUrban Planner & Information Designer
Why Data MattersCITY OF ST. LOUIS MARKET VALUE ANALYSIS
Why Data MattersCITY OF ST. LOUIS MARKET VALUE ANALYSIS
Why Data MattersCITY OF ST. LOUIS MARKET VALUE ANALYSIS
Why Data MattersWHAT IS DATA?
Why Data MattersWHAT IS DATA?
raw, unorganized facts waiting to be processed to tell a story
Why Data MattersWHY DOES DATA MATTER TO YOU?
Why Data MattersWHAT IF: COMMUNITY SOCIAL CAPITAL ANALYSIS
Collecting Quality DataPRE-GATHERED DATA SOURCES
Collecting Quality DataPRE-GATHERED DATA SOURCES
factfinder2.census.govPopulation estimates; demographic (race/ethnicity, age, gender, etc.), economic, and household data
Collecting Quality DataPRE-GATHERED DATA SOURCES
mcds.dese.mo.govStudent characteristics (race/ethnicity, gender, poverty status, etc.) and performance by districts and schools
Collecting Quality DataPRE-GATHERED DATA SOURCES
OneCPD.infoHomeless population estimates; demographic, economic, health, and family characteristics
Collecting Quality DataPRE-GATHERED DATA SOURCES
health.mo.govComprehensive data set of major illnesses and conditions, sortable by geography, demographics, and political boundaries
Collecting Quality DataPRE-GATHERED DATA SOURCES
data.govCentral source of all federally collected data spanning a broad range of topics; includes datasets from local gov’ts and agencies
Collecting Quality DataCOLLECTING NEW DATA
• Surveys• Observations• Routinely collected info
Collecting Quality DataCOLLECTING NEW DATA
• Surveys• Observations• Routinely collected info
Collecting Quality DataTURNING ROUTINE INFO INTO DATA TO DRIVE DECISIONS
Last First MI
Birth Date DD/MM/YYYY
/ /
Street Number Street ZIP
M/F
Collecting Quality DataTURNING ROUTINE INFO INTO DATA TO DRIVE DECISIONS
Interpreting Data to Tell Your StorySPINNING THE DATA
Interpreting Data to Tell Your StorySPINNING THE DATA
Creating associations between data points establishes a narrative
Interpreting Data to Tell Your StorySPINNING THE DATA
Creating associations between data points establishes a narrative
YOU choose which story to tell
Interpreting Data to Tell Your StorySPINNING THE DATA
How you spin depends on your intent:• Developing a new program/approach• Applying for grants• Establishing an evidence-based practice (EBP)
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
• Program Focus• Population• Geography
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
• Population
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
• Geography• Statistical Measure• Population
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
• Time
Interpreting Data to Tell Your StoryDECISIONS ABOUT DATA TO CREATE THE SPIN
Interpreting Data to Tell Your StoryPRESENTING THE DATA
TextIn St. Louis County, there are 234,671 residents aged 17 or younger. Of all children in the county, 32,854 live at or below the federal poverty level.
1
Interpreting Data to Tell Your StoryPRESENTING THE DATA
Table2Age Group Total Population Population At or Below Poverty0-2 78,223 10,9513-11 78,223 10,95112-17 78,225 10,95218-25 85,000 4,61726-35 92,375 12,34236-45 47,956 32,05946-64 88,363 23,76165+ 102,814 34,353
Interpreting Data to Tell Your StoryPRESENTING THE DATA
Chart3
Age Groups
0-2 3-11 12-17 18-32 33-45 46-64 65+
Interpreting Data to Tell Your StoryPRESENTING THE DATA
Infographic4
Interpreting Data to Tell Your StoryPRESENTING THE DATA
- Quick Comprehension Meter +
InfographicChartTableText
to
WIN IT
SPIN IT
The TakeawaySTORIES WE TELL WITH DATA CAN BE POWERFUL
104,076PEOPLE ARE LIVING IN HIGH POVERTY IN ST. LOUIS COUNTY