At the 2019 Big Reveal event, FL-DSSG interns presented findings and revealed insights gained from the Cathedral Arts Project, Children's Services Council, Feeding Northeast Florida, GTM Research Reserve, and Starting Point Behavioral Healthcare projects. The UNF Foundation funded 2019 FL-DSSG Internship program. Big Reveal presentations were held at the WJCT Studio A, 100 Festival Park Ave., Jacksonville, FL - 32202. For more information about the 2019 FL-DSSG program visit http://dssg.unf.edu/2019program.html.

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Data Science Meets Community Impact

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FL-DSSG Team
Program Directors
Dr. Dan Richard
Associate Professor of Psychology,
Director of the Center for Community-Based Learning,
University of North Florida (UNF)
Dr. Karthikeyan Umapathy
Associate Professor of Computing,
Distinguished FIS Professor,
University of North Florida (UNF)
Advisory Board Members
Arri Landsman-Roos
Director of Analytics
Jacksonville Jaguars
Robert Marsh
Chief Technology Officer
NLP Logix
Candace Dorn
Business Strategy and Process Improvement
JEA

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Naveen Agarwal
Principal and Founder,
Creative Analytics Solutions
Pavi Gupta
Senior Director, Global Strategic Insights,
Johnson & Johnson Vision
Jay Lewis
Digital Insights & Analytics Manager,
TIAA Bank
Victor C. Li
Advanced Analytics Developer,
Jacksonville Jaguars
James Healy
Actuarial Analyst / Data Analyst,
JEA
Industry Sherpas
Dr. Robert Morris
Chief Scientific Officer,
BlueChip Financial
James Parks
Data Scientist,
AgileThought
Laurel Wainwright
Environmental Services,
JEA

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Dr. Jody Nicholson-Bell
Psychology, UNF
Dr. Lakshmi Goel
Management, UNF
Dr. Haiyan Huang
Management Information Systems
Flagler College
Dr. Beyza Aslan
Mathematics & Statistics, UNF
Dr. Julie Merten
Public Health, UNF
Dr. Georgette Dumont
Political Science & Public Administration,
UNF
Dr. Gordon Ratika
Anthropology, UNF
Dr. Lauri Wright
Nutrition & Dietetics, UNF
Faculty Leads
Dr. Xudong Liu
Computing, UNF
Dr. Amanda Pascale
Higher Education Administration,
UNF
Dr. Sandeep Reddivari
Computing, UNF

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2019 FL-DSSG Interns
Joseph Allen
Computer Science,
Master of Science Student,
UNF
Amitabh Bhattacharya
Computer Science,
Master of Science Student,
UNF
Nicholas Cole
Public Administration
Master of Public Administration Student
UNF
Abigail Conwell
Anthropology,
Bachelor of Arts Student
UNF
Breana Bryant
Psychology,
Bachelor of Science Student
UNF
Ashlee Larramore
Anthropology & Psychology,
Bachelor of Arts Student,
UNF
Kevin Mea
Actuarial Science,
Bachelor of Science Student
UNF
Avinash Namilla
Information Systems,
Master of Science, 2018
UNF
Joseph Free
Statistics,
Master of Science Student
UNF
Abhishek Singh
Applied Data Science,
Master of Science Student,
Syracuse University, NY
Bridget Stanton
Clinical Mental Health Counseling,
Master of Science Student
UNF

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Identify a Nonprofit or Public
sector organization with a
”Wicked Problem”
Gather Data and
Formulate a Plan
Analyze the
Data
Improve Decision
Making Process
for the Client
Data Science for Social Good (DSSG)
DSSG concept formed and started at the University of Chicago in 2013.

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Gaining actionable
insights from data
Helping Public Sector
and Nonprofit
Organizations make
data-driven decisions
Training data scientists
with social conscious
Florida Data Science for Social Good (FL-DSSG)

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Data Science is Hard!
Image source: https://deepconnect.cloud/data-science-is-hard/

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DSSG
is
Fun

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Rena Coughlin
Nonprofit Center, CEO
Dr. George Rainbolt
Dean of UNF College of Arts and Sciences
Dr. Sherif Elfayoumy
Director of School of Computing
UNF College of Computing,
Engineering & Construction

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Starting Point Behavioral Healthcare
Children's Services Council of Palm Beach
County
UNF Foundation

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Cory Hodak
Vice Chair, Grants Committee
UNF Foundation

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Dr. Simon J. Rhodes
Provost
UNF

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2019 FL-DSSG Projects
1. GTM Research Reserve - Assessing the Precision and Accuracy of Data
Collected by Students
2. Starting Point Behavioral Healthcare - Understanding the Patterns of
Recidivism in Mental Health
3. Children's Services Council of Palm Beach County – Determining Services
that Contribute to Healthy Child Outcomes
4. Feeding Northeast Florida - Finding Data-Driven Insights in the Fight Against
Hunger
5. Cathedral Arts Project - Analyzing Impacts of the Arts Education

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GTM Research Reserve
Assessing the Precision and Accuracy of
Data Collected by Students

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Research
Education
Stewardship
GTM Research
Reserve

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The Education Program
Pre-K through
College
2012 – present
7 years of data
40 + schools and
school groups
400+ water quality
samples
300+ biodiversity
samples
4 Living Lab Series
& Summer Camps

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Wicked Problem
Unused Data 01
A Need 02
Partnership04
Constraints 03
Wicked Opportunity

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PRECISION ACCURACY

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GTM Research
Reserve

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Pine Island NOAA Data Sonde
GTMRR Visitor Center

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Dam
Guana Lake (North)
Guana River (South)

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Pine Island NOAA Data Sonde
GTMRR Visitor Center

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Data
Challenges
Inconsistent Data Entry
Collection Processes
Volume
Data Transformation
Missing Data
Fragmented Data Sources
NOAA – 250,000+ ENTRIES
RESEARCHERS – 4704 ENTRIES
STUDENTS – 323 ENTRIES

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PRECISION ACCURACY

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Analysis of
Variance
Dissolved OxygenWater Temperature pH Turbidity
Water Temperature
Analysis of
Variance

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PRECISION ACCURACY

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Control Chart - Water Temperature

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Student Data
Collection
By Age Groups

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Limitations
Recommendations
Conclusions
Conclusions
Student availability and seasonality
Proactively train students and
create routine schedules
Expanding citizen
science efforts

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Understanding the Patterns of
Recidivism in Mental Health

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Crisis FacilityRecidivism
Stabilized
Ned

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Opioid Epidemic
National
Florida
Nassau
County
Nassau County
(29 per 100,000) drug related deaths
Florida
(24 per 100,000) drug related deaths
National
(21 per 100,000) drug related deaths
Source: amfAR (2017). Florida Opioid Epidemic [Webpage]. Retrieved from
https://opioid.amfar.org/ FL

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$21,313
Source: Baptist Health Hospital System. Gross charges- Not an indication
of patient responsibility [Data file].
Average Cost of
Care
at Baptist Hospital
over 8 Million
within two years
X 383
Patients

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Starting Point Behavioral Healthcare
Care Coordination

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Data Process
• Baptist
Hospital
• MHRC
• County Jail
• 1046 referrals for 878 clients
• 13% population has
recidivism
• 1.5 year timeframe
• Variables given (age,
source, notes, and more)
• Merged all
trackers
• Cleaned klinkers,
outliers, and typo
Data
Received
Data
Description
Data
Preparation

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Data Process
• Extracted variables
from notes feature
• Gained new
features; SA,
Homelessness, In-
Person C/C, etc.
• Extracted average
time between
referrals and facility
length of stay
• Dataset too small
for learning
model
• Used descriptive
model instead
Feature
Engineering
Data
Aggregation
Data
Analysis

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Recidivism
01 02 03 04
Facility Length
of Stay Location Baker Act SA and MAT
6 days less than non
recidivism group
North Fernandina Beach X2 more prevalence X2 more prevalence

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Under 30 Day Recidivism
01 02 03 04
Location Time Age Pain
North Fernandina Beach More Time between
Referral and Discharge
Person to Person
Contact
X3 Presence of Pain

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Density Scale
Low Medium High
Recidivism

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14
96
8
383
156 221
26
19
20
14% RR
16% RR18% RR
Agency Network
RR= Recidivism Rate
148
5 9
Care
Coordination

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Crisis FacilityRecidivism
Treatment
Person
Hope

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Determining Services that Contribute
to Healthy Child Outcomes

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Distribution
of Mothers and Children
Enrolled in CSC
Programs
(Palm Beach County)

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Pregnancy
Prenatal and
Motherhood
Services
Birth
Child and
Family
Programs
Kindergarten
Funded Programs
Counseling
Triple P
… 42 programs … 29 programs
Nurse Family
Partnership
Centering
Healthy Families
Prenatal Plus

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What combinations of services yield the best outcomesWicked Problem:
27,519
2012-2013
Vital Statistics
Prenatal Risk
2012-2013
Infant Risk
27,519
25,282
School District
Data
2017-2018
26,958
Mother Enrollment
2012-2013
15,931
Child Enrollment
8,287

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RecommendationsChild Outcome
Birth OutcomeData Cleaning

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CSC Enrolled / Not CSC Enrolled Mothers
• Mothers enrolling to CSC
programs are at higher risk.
• Non-enrolling mothers may not
need CSC support.
High Risk
Low Risk
Propensity Score
Matching

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CSC
Non-CSC
Selection
Bias:
Match on Risk

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Birth Outcome Features and Metrics
Feature Engineering
Birth weight
• Hospital Distance
• Duration of Enrollment in
CSC Program Gestation
≥ 2500 grams
≥ 37 weeks
Birth Outcome Metrics

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Birth Outcome Results
85 %
50 %
60 %
70 %
80 %
90 %
100 %
Healthy Birth
Not Enrolled / Enrolled Mothers
No Enrollment CSC Enrollment
3120
3400
2500
2700
2900
3100
3300
3500
Baby Weight
Healthy Weight 2500 – 4000 grams
No Enrollment CSC enrollment
85 %
98 %
3120

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Program Recommendation in Seven Dimensions
Mother’s Education:
• Centering program is found most effective
• 95% of the less educated mothers are benefitted from this program
• Program is organized in groups and mothers are allowed to share their experiences
Medical Factors:
• Pregnancy risk
• Depression
• Poor prior birth
• First Pregnancy
Demographics:
• Race
• Marriage
• Education

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RecommendationsChild Outcome
Birth OutcomeData Cleaning

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Child Outcomes Analysis
Pregnancy
Prenatal and
Motherhood
Services
Birth
Child and
Family
Programs
Kindergarten
Language
Arts Scores
Math Scores
Literacy
Scores
Social-
Emotional
Skills
Kindergarten
Ready

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Initial Approach to Child Outcomes
In the odds of good
kindergarten performance
25% reduction
• Initial findings not good, but explainable: there is a selection bias – CSC funded programs target at-
risk mothers and children.
36%
64%
Under-achieving On-target
Kindergarten Performance

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Different Approaches
Risk-adjustment
Repeated the initial analysis using
Analyzing assessment scores
Tried to look at effects of individual CSC
child programs directly on assessment
score.
Synthesis needed…
Looking at general enrollment doesn’t tell
enough, and looking at specific enrollment
tells too much.
01
02
03

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1 3
2 4
Program Clustering
Risk
• Together clusters 3-5 constitute
meaningful program enrollment.
• Clusters 1 and 2 act as natural
comparison groups.
• Clusters 3-5 utilized by
disadvantaged minorities groups.
No
Enrollment
1
Screening
Services
Only
2
Child
Programs
Only
3
Birth and
Child
Programs
4
Nurse Family
Partnerships
5
5

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No Enrollment
Screening Services Only
Child Programs Only
Birth and Child Programs
Nurse Family Partnership
1
3
2
4
5
Regression using Program Clusters
Risk

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Screening Services Child Programs Birth & Child Prog. Nurse Family Partnership
32 4 5
Difference in Language Arts Test Scores Due to Enrollment

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RecommendationsChild Outcome
Birth OutcomeData Cleaning

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Conclusions
• Enrollment to CSC programs provides better outcomes than non-enrollment.
• We determined clusters of program usage that benefit at-risk children over non-
enrolled peers.
• Examine the Nurse Family Partnership program improvements.
• Analyze the effect of enrollment follow-up.
• Future research may focus on the time effects associated with enrollment and the
resulting changes in birth and child outcomes.
Recommendations

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Finding Data-Driven Insights
in the Fight Against Hunger

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Food Insecurity
Source: https://map.feedingamerica.org/
Hunger in America

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$1.54B
Annual food budget shortage
$3.22
Average meal cost
Florida: Map the Meal Gap
Below SNAP
Above SNAP
Food Insecurity
Rate
13.4%
28%
72%
2.8 M
Food Insecure people
Food Insecurity

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Who Are Feeding Northeast Florida?
14.1
M
meals200+
food
banks
150+
partners
8
counties
Where:
Focuses on 8 counties: Baker, Bradford,
Clay, Duval, Flagler, Nassau, Putnam, St
Johns
How:
Partners with 150+ grocery stores, retailers,
manufacturers, and farms
Who:
A part of Feeding America, a network of 200+
food banks
What:
Provided more than 14.1M meals in 2018

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Visualize the Data
Understand food
deserts
Where is the
greatest need?
Understand the
community as a whole
Questions for FL-DSSG
01 Visualize
02 Support Research
03 Create Strategy
04 Strengthen Overview

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Visualize
Build an interactive
visualization tool
Analyze
Identify key variables
Influencing hunger
Transform
Data sources into a uniform and
analytical format
Consolidate
Data sources for FNEFL to
extract relevant information
Our Plan of Action

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Let’s talk Data!
Data
Region
Partners
Distribution
Research
Census: Factfinder, QuickFacts, Community Survey
ALICE Report ~ United Way of Florida
Active Agency information
Retail Donors information
Distribution by area
Yearly Crystal Reports for distribution (4 years)
Map the Meal Gap ~ Feeding America
Food Access Research Atlas ~ USDA
1
2
3
4
5
6
7
8

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Major Data Challenges
Different sources, Lack of an
ID system, Missing details
Numerous factors influencing
demand
SAP Crystal Reports difficult to
analyze
Census Tract and Zip Code
Indexing
Quantifying Need
Data Format
Aggregation level

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Our Approach
01 02 03 04
Demographics Need Operations Ranking
Understand the
population
Quantify need in
regions
Look at FNEFL partners
and distribution
Rank region based on
criticality

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Demand
From research and
reports on Need
Supply
FNEFL’s local distribution
Rank
Areas based on difference
Difference
Scale: Number of
meals

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Putting it all together: FNEFL Dashboard
Grants Support
Enrich grants with
visualizations and insights
backed by data
Interactive
User-friendly and
customized
Sustainable
Add data for relevance and
future use
Drill down
Get details at granular level

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Future Outlook…
Data
Better collection and
maintenance
Data-driven
Grants and operation
Hunger
Network
UNF partnership with
FNEFL

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Cathedral Arts Project
Analyzing the Impacts of Arts Education

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Benefits of Arts Education
Enroll in College
Higher Academic Achievement
Better Attendance
Complete High School
Source: (Hardiman, 2016)

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A heart for children and the
arts
Schools and Partnership Sites
requested arts programs to be
provided at their locations
Serving 29,000 students
53 in-school, out-of-school, and
summer art programs
Cathedral Arts Project

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Title I Schools
CAP
Target:
40% or more
students from
low income
families

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FL-
DSSG
Focus
Investigate the impact
CAP programs have on
students within DCPS
Help tell the story of
their impact by using a
data dashboard

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Data
CAP Student
Information
Pre CAP
DCPS
Comparison
Populations
• Demographics
• Attendance
• Infractions
• Test scores
• Assessment scores
• 2016, 2017 student
information before they
entered the program
• Data dependent on
start date
• Averaged student
information for each
school
• Overall DCPS student
information

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Pre & Post
• Administered by
CAP teachers
• Split into general
and art skills
• Tracks growth
Assessments
i-Ready &
Achieve 3000
• Administered in
fall, winter, and
spring
• Tracks students’
progress over
the school year
Test Scores
Infractions
• Class I to IV
Discipline
Final Quarter
• Science, Math,
and Language
Arts
• Standard scale,
A-F, converted to
numbers
Grades
Variables of Interest
Yearly
Percentage
• Days
attended/180
*100
Attendance

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CAP
Dashboard
Demo

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Future Directions
Using the dashboard, CAP has access
to student information related to
programs and schools – which will allow
them to target schools and enhance
particular programs.
Expansion of CAP

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This is important
because CAP
targets students
who wouldn’t have
access to art
education otherwise
CAP can use
dashboard to
monitor
students
progress
Conclusion
CAP GOAL:
Empower underserved,
school-aged children to
succeed in all areas of
their lives by providing
access to instruction in
the visual and
performing arts
CAP benefits
students in
terms of
academic and
life
achievement

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GTM Research Reserve Starting Point Behavioral Healthcare
Feeding Northeast Florida
Josephine
Spearman Dawn Forbes
Jess Goodkind
Education Coordinator Executive Assistant
Grants & Research Manager
Cathedral Arts Project
Akacia Powell
Program Data Specialist
Children's Services Council of Palm Beach County
Amy Lora
Evaluation Lead

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If you have a question, please keep your hand up,
one of us will get to you with a mic.

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Getting Ready for FL-DSSG 2020
Submit Proposal
Application in
January 2020
Identify Data
Sources and
associated
variables
Get Commitment
from everyone
involved
Identify a Wicked
Problem and its
Social Goodness

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Resources
• Reference
Hardiman, M. M. (2016). Education and the Arts: Educating Every Child in the Spirit of Inquiry and Joy. Creative Education, 7(14), 1913-1928.
doi:10.4236/ce.2016.714194
• FL-DSSG Website Link
http://dssg.unf.edu/
• CAP Project images
– Paint kid source: https://www.pexels.com/photo/4k-wallpaper-blur-boy-carefree-1149022/
– Studying kid source: https://www.pexels.com/photo/rear-view-of-boy-sitting-at-home-256548/
– Picture collage is based on pictures provided by CAP.
• PowerPoint Template
– This presentation was prepared using template developed by Aaron Kneile of DesignSmash. Template is available in
Envato Market.
– https://graphicriver.net/item/i9-template-system/10955645