At the event, DSSG interns presented findings and revealed insights gained from the Center for Children’s Rights, Episcopal Children’s Services, and Literacy Alliance of Northeast Florida projects.
2020 Florida Data Science for Social Good Big Reveal
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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
Vice President of Decision Science
Jacksonville Jaguars
Robert Marsh
Chief Technology Officer
NLP Logix
Candace Dorn
Senior Data Analyst
Crowley
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Katie Bakewell
Data Scientist,
NLP Logix
Daniel Burstein
Senior Director, Content & Marketing,
MECLABS Institute
Jay Lewis
Digital Insights & Analytics Manager,
TIAA Bank
Victor C. Li
Advanced Analytics Developer,
Jacksonville Jaguars
David Garfunkel
President
LIFT JAX
Industry Sherpas
Dr. Robert Morris
Chief Scientific Officer,
BlueChip Financial
James Parks
Product Manager,
Black Knight
Laurel Wainwright
Environmental Services,
JEA
James Healy
Actuarial Analyst / Data Analyst,
JEA
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Dr. Jody Nicholson-Bell
Psychology, UNF
Dr. Lakshmi Goel
Management, UNF
Dr. Haiyan Huang
Computer Information Systems
Flagler College
Dr. Beyza Aslan
Mathematics & Statistics, UNF
Dr. Angela Mann
Psychology, UNF
Dr. Georgette Dumont
Political Science & Public Administration,
UNF
Dr. Gordon Ratika
Anthropology, UNF
Faculty Leads
Dr. Xudong Liu
Computing, UNF
Dr. Amanda Pascale
Higher Education Administration,
UNF
Dr. Sandeep Reddivari
Computing, UNF
Dr. Michelle DeDeo
Mathematics & Statistics, UNF
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2020 FL-DSSG Interns
Dana Arnold
Psychology,
Master of Science Student,
UNF
Vinay Kumar Reddy Baradi
Business Analytics and Information Systems,
Master of Science Student,
USF
Suat Babayigit
Statistics
Doctor of Philosophy Student
UCF
Kayla Farriss-Dardano
Political Science,
Bachelor of Science Student
UCF
Chandrika Rao
Computer Science,
Master of Science Student
UNF
Raj Shah
Computer Science,
Bachelor of Science Student,
UF
Alysson Silveira
Business Analytics and Information Systems,
Master of Science Student,
USF
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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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Other DSSG Programs
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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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Rena Coughlin
Nonprofit Center, CEO
Dr. George Rainbolt
Dean of UNF College of Arts and Sciences
Dr. William Klostermeyer
Dean of UNF College of Computing,
Engineering & Construction
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UNF Center for Community-based Learning
UNF Foundation
FIS Computing Distinguished Professorship Award
Jaguars Foundation
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Susan Schantz
UNF Foundation Board Member
Arri Landsman-Roos
Vice President of Decision Science
Jacksonville Jaguars
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2020 FL-DSSG Projects
1. Center for Children's Rights - Analyzing Impacts of the School to Prison Pipeline
Program
2. Literacy Alliance of Northeast Florida - Exploring Factors Influencing
Adult Literacy Skills
3. Episcopal Children’s Services – Identifying Children and Families with Low-
incomes and Early Learning Needs
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Analyzing Impacts of
the School to Prison Pipeline
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Prison
Suspensions
Expulsions
Failing grades Detention
School to Prison Pipeline
School Graduation
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15%
49%
31%
37%
Black White
Student Population Law Enforcement Referrals
UnitedStates
16%
difference
44%
36%
66%
22%
Black White
Student Population Law Enforcement Referrals
DuvalCounty
22%
difference
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34%
14%
9%
5%
60%
50%
25%
22%
Overall Recidivism Two or More Subsequent
Referrals
Returned to Court for Violent
Crime
Two or More Subsequent
Petitions
Diversion Programs Detention
Source: Detention Diversion Advocacy: An Evaluation. San Francisco, CA,
1999
Diversion Programs vs. Detention
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Daily cost for the secure confinement of a young person
$234
$247
$2,444
Wyoming Florida New York
Vicious
Cycle
School to Prison Pipeline
Profound negative impact on young
people’s:
• Mental and Physical well-being
• Education
• Employment
……
US
average
$588
$214,620 per year
on average
Source: Justice Policy Institute (2020). Sticker Shock 2020: The Cost of Youth Incarceration
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Direct Referrals
from Juvenile
Justice System
Free Legal
Representation
Restorative Justice
Legally
I nformed
Family
Team
Emergency
Funds
Center for Children’s Rights
A group of legal
professional and
child advocates
working to ensure
legal
representation
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Center for Children’s Rights
Educational Advocacy
Exceptional Student Education
Individual Education Program
504
Mental Health
Residential MH Treatment
Behavioral services
Counseling
Public Benefits
& Health Access
Specialty health referral
Social Security
Medicaid
Transportation
Medicaid transportation
Bus passes
Family Services
Employment Assistance
Hygiene Products
Clothing/ Shoes
Housing and Utilities
Tenant/renter's issues
Utilities Assistance
Rent Assistance
Services
Provided
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Data Sources
CRDC
+
Academic
papers
+
Reports
Internal Datasets External Sources
The Civil Rights Data Collection (CRDC) is a biennial data collection from all public schools in the country conducted
by the Office for Civil Rights OCR
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Approaches
03
CLUSTERING
04
NLP
02
REGRESSIONS
01
DESCRIPTIVE
STATISTICS
05
QUALITATIVE
ANALYSIS
abc
bcd
cde
σ %
∑ ×
Δ
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Timing is very important
Referrals Intakes Success rate
Not enrolled 22 4 18%
Jefferson Davis 10 8 80%
Other 9 3 33%
Grand Park 8 2 25%
Florida Virtual 7 3 43%
… … … …
Total 162 74 46%
50%
18% success rate when youth is not enrolled
success rate when youth is enrolled in school
vs.
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57.8%
32.3%
9.3%
0.6%
%ofkids
MEDIAN INCOME
Duval county
Median household income (2018)
$53,473
CCR Referrals
24k – 47k 47k – 69k 69k - 91k 91k - 114k
52.2%
21.7%
14.9%
6.2%
3.1% 1.9%
SCHOOL GRADES
C +
D +
Alt. Education
B Not enrolled/
Home schooled
A Private Charter
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School Referrals to Law Enforcement
Referrals to CCR
No referrals to CCR
Legend:
Referralstolawenforcement(per1000s)
Proportion of teachers in their first year of teaching
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65%
Mental health
problems
Psychological
eval/counseling
Cognitive/Learning
Issues
Concerns with
IEP/504
Failed a grade
Suspended frequently
36%
45%
60%
59%
44%
Mental
Health
Education
65%
31%
32%
24%
26%
19%
Family
Other
Complex family
dynamics
Ever worried about not
having enough food
Needed help with rent
left behind
Drug or substance
abuse
Baker Acted
First time offenders
QUALITATIV
E ANALYSIS
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Data collection
Case closure
survey
Relationship with
Referrals schools
Resilience
Navigator
Direct Referrals
Staff Attorney
Recommendations
CCR Journey
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Explore their actual talents and
build new ones.
S
45%
athleti
c
26%
technology
24%
musi
c
18%
artisti
c
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Exploring Factors Influencing
Adult Literacy Skills
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Meet William:
44 years old
Stressed for their
children’s future
Lacks Literacy and
Numeracy skills
Low paying
employment
Living below the
poverty line
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1in5
Americans do not have
basic adult literacy
skills
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3in4
Children of Parents with
low literacy skills are at
risk for having low
literacy skills
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43%
Low Literacy Adults live in
poverty
130Billion
Spent on Low Adult
Literacy annually
92%
Low Literacy Adults
not getting services
There’s a Nationwide Problem...
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21%
of adults in Duval
lack basic adult literacy
150,000
adults have limited career
options
…and it’s in Jacksonville too.
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Introduction
to Alliance
- Learning more
about the program
- Take in background
information
Continuing
the
Program
- Attending math and
reading classes
- Taking exams to
gauge progress
Intake
Exam
- Take the
TABE exam
- Exam for Reading,
Math, and/or
Language
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6000+
Intake
Forms
2000+
Students
with Hours
12000+
Tests
Administered
Data Collected
2014 - 2019
demographics.xl
s
hours.xls scores.xls goals.xls
1700+
Goals
Recorded
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Low Income
Downtown / Northside
Unemployed
41-45 Years Old
Hopefuls
Income Constrained
Arlington / Southside
Mostly Employed
51-54 Years Old
Working Learners
Incarcerated
Correctional Facilities
Highest Intake Exam Scores
30 -33 Years Old
Young Achievers
Clustering
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Data Collected
2014 - 2019
demographics.xls
hours.xls
scores.xls
goals.xls
Age?
Age < 20 Age > 40
20 < Age < 40
Hours?
Hours < 15 Hours > 60
15 < Hours < 60
Scores Tend
to Increase
Decision
Points
1. Age
2. Hours
To determine
increase in scores
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Insights – Feature Importance
Comparisonof
DecisionPointRankings
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Insights - Goals
ProbabilityDistributionofHours,Stratified
by Goal-Seeking
Students without Goals
Students with Goals
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Insights - Goals
ProbabilityDistributionofHours,Stratified
by Goal-Seeking
Students without Reading Goals
Students with Reading Goals
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Insights - Goals
ProbabilityDistributionofHours,Stratified
by Goal-Seeking
Students without Math Goals
Students with Math Goals
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Recommendations
1. Identify At-Risk Students by enhancing the intake questionnaire
Predicting Dropout In
Adult Basic Education
Using Interaction
Effects Among School
and Nonschool
Variables
2001
Dr. Randy Garrison
What Works:
Recruitment and
Retention of Ontario
Works Clients
2001
Dr. Dee Goforth
Dr. Mary Jonik
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Recommendations
1. Identify At-Risk Students by enhancing the intake questionnaire
2. Enhance intake questionnaire to ensure students at intake are making Math and
Reading Goals
3. Invest in enhanced Long-Term Tracking of student goals
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Identifying Children and Families
with Low-incomes and Early Learning Needs
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Striving for
Healthy
Childhood
Development
Image source: https://flic.kr/p/FnUYN Credit: Brian Auer
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ECS’s Early Head Start Program
Physical
Health
Mental
Health Nutrition
Social
Development
Education
Parental
Skills
0-3
Home-
Based
Center-
Based
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vv
IDENTIFY
at risk children and
their families
COMBINE
all data sources
FIND ALL
children
COLLECT
public
data
VISUALIZE
location
The Wicked Problem
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Solution/ DSSG’s Goal
Develop a GIS (Geographic Information System)-based decision tool (dashboard) for
locating and recruiting pregnant women and families with children who would most
benefit from ECS’ services.
Data Collection 01
• 18 Datasets
• 174 Census
Tracts
• 35 Zip
Codes
Data
Cleaning
02
Analyses 03
Data Visualization 04
• 18 Indicators
• Normalize
values • Factor Analysis
• Index Build
• Tableau Dashboard
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Datasets Collected
Disability
Doesn’t speak
English
Race
Marital Status/
Parent’s Education
Population 0-5
Unemployed/ Uninsured
Minority
Family
Income
Home
Poverty
Low Income
SNAP/ Free
Lunch
Food Desert
Foster Care
Current
ECS
Children
Low Birth
Weight
No
Vehicle
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Naturalized
Citizen
Not a US
Citizen
Doesn’t
Speak
English
Low Birth
Weights
Education
Level
Uninsured
Poverty
Food
Stamps
Food
Desert
Income
Constrained
Low
Income
Foreign
Born &
Disadvantaged
Two Factors Emerged
No
Vehicle
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Tableau
Dashboard
Demo
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Final
Thought
s
Healthy
Development
DSSG
Map
ECS
Resources
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What is the project’s big reveal from your perspective?
What will be the impact of the project for your organization?
What are the next steps for your organization?
1
2
3
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Center for Children’s Rights Literacy Alliance of Northeast Florida
Betsy Dobbins Marcus Haile
Executive Director Executive Director
Episcopal Children's Services, Inc.
Temple DePlato
Assistant Vice President of Quality and Risk Management
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Open the web browser in your
phone or computer
Go to www.sli.do
Accept privacy settings
Enter event code: #fldssg
Post your questions for presenters
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Getting Ready for FL-DSSG 2021
Submit Proposal
Application in
January 2021
Identify Data
Sources and
associated
variables
Get Commitment
from everyone
involved
Identify a Wicked
Problem and its
Social Goodness
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Resources
• FL-DSSG Website Link
http://dssg.unf.edu/
• 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
• Other Resources
– William and his family character images used in Literacy Alliance project presentation were designed by Freepik.
Studies found that being detained previously was not as effective as reducing crime as diversion services, which had almost half the recidivism
Center for Children’s Rights (CCR) provides civil legal representation to kids involved with the juvenile justice system.
CCR receives direct referrals from key juvenile justice stakeholders.
Legal Representation: CCR completes a comprehensive legal needs assessment and zealously advocates for kids who are: out of school, having problems in school, homeless, having trouble getting appropriate health care or counseling, and being locked up in detention. As an alternative to arrest, detention, and incarceration, the center advocates developmentally and trauma-informed policies and practices.
Restorative justice : CCR facilitates juvenile justice reform by working with a variety of community partners and provide kids access to what they need in the school and in the community to thrive.
One important thing to note is CCR doesn’t charge anything to kids for all these services. Additionally CCR has setup emergency funds to help the families better and efficiently.
LIFT meeting : And recently they have also initiated the LIFT meetings, wherein they provide case management consulting for other organizations/entities. CCR helps cases which require interaction with multiple organizations while also onboarding the parents into the whole process.
Center for Children’s Rights (CCR) provides civil legal representation to kids involved with the juvenile justice system.
CCR receives direct referrals from key juvenile justice stakeholders.
Legal Representation: CCR completes a comprehensive legal needs assessment and zealously advocates for kids who are: out of school, having problems in school, homeless, having trouble getting appropriate health care or counseling, and being locked up in detention. As an alternative to arrest, detention, and incarceration, the center advocates developmentally and trauma-informed policies and practices.
Restorative justice : CCR facilitates juvenile justice reform by working with a variety of community partners and provide kids access to what they need in the school and in the community to thrive.
One important thing to note is CCR doesn’t charge anything to kids for all these services. Additionally CCR has setup emergency funds to help the families better and efficiently.
LIFT meeting : And recently they have also initiated the LIFT meetings, wherein they provide case management consulting for other organizations/entities. CCR helps cases which require interaction with multiple organizations while also onboarding the parents into the whole process.
Lets look at few demographic features of the kids referred to CCR. As per the census data, the median household income of Duval county is about 53 thousand and 400 dollars. More than 60% of the kids referred to CCR belong to neighborhoods/zipcodes with median household income on the lower end of the spectrum. When we look at the school grades, 52% of the kids come from schools graded C or below and Alt education settings. Schools in florida are known to reflect the socioeconomic status of their students, where schools with grades C or below have a median household income in the range of $30k / have an average poverty rate over 80%. So these kids are not only coming from economically challenged family background but they are going to schools that are facing many challenges of their own.
Source - https://feaweb.org/news/frontline/the-reality-of-school-grades/
Questions:
1)
The schools that have higher referrals to enforcement rates, are usually the ones with less resources.
CCR is already off to an excellent start. Congratulations to the team.
Few recommendations from our team to CCR to enhance their journey are improvement in data collection strategy for their clients, exit survey of the clients post case closure.
Though CCR has good relationship with all of the schools they work with, putting more effort into the schools with most referrals will help in several ways. They could work with the school and other organizations to come up with some preventive measures so that the kids don’t land up in the juvenile justice system.
Since the current teams' hands are full, a dedicated staff attorney will be of immense help.
A resilience navigator, who is a part social worker, part community builder will be equally important.
And finally, direct referrals from the court system will help them navigate through the cases quickly and efficiently.
Now picture a child, not disadvantaged going into college, but disadvantaged going into kindergarten! They are starting at a level behind the majority of the students, and that set back then follows them for the rest of their lives. Why do you think that child is sitting all alone on the bench while all the other kids are playing? It’s possible they are having trouble making friends, or they’ve gotten in trouble for being disobedient, or maybe they just lack the energy to play. This is just speculation, but all possible situations for children starting school at a disadvantage.
But, there is hope. One program in particular is the Early Head Start program, and Episcopal Children’s Services is one of the companies making this program possible. Their Early Head Start initiative includes helping pregnant women and children under the age of 3 whose environment puts the child’s development at risk. They do this with center-based and home-based services with the children’s health and the parent’s needs in mind.
ECS came to us with a wicked problem; children were being born without vital resources, and they have these resources to give the children a chance for healthy development, but with 174 neighborhoods to canvass they needed help managing data and narrowing down locations of children and their families that could benefit from their help.
Together we came up with a solution to create a GIS based decision tool. We started right away with data collection. Collecting 18 publicly available datasets with hundreds and hundreds of variables. From there we cleaned the data by narrowing the datasets down to 18 variables. We then normalized the values so that we were comparing apples to apples instead of apples to oranges and any other fruit that was in the basket. Once normalized we ran some analyses, which I will discuss more in a few slides, and merged the data into Tableau to build a dashboard, which you will also get to see later in the presentation.
Here are the 18 datasets we collected, some are doubled up on the slide to save space. So we have our Income based variables. We made sure to include low income because they do not get as many benefits offered to them as do people in poverty, but they still struggle to survive on what little money they have, so very important to keep them included. Home based variables; including the current children in ECS’ Early Head Start program. Minority based. We included race for demographic analysis purposes. And finally, Family based. Population 0-5 is a combination of pregnant women and children 5 years and under. It includes 4 and 5 year olds because that is how the census data is collected and all you can do is work with the data you have access to.
Thank you Kayla, thank you Vinay. I am so proud to be part of an initiative that gives children a healthy alternative to what they were born into. ECS provides health and education resources to children and their families to assist in the developmental process. And Now they have a map and indices to help identify even more neighborhoods with those families that could benefit from ECS’ services. Showing that if we all work together, all children could grow up in a healthy environment.