The 2022 Florida Data Science for Social Good (FL-DSSG) Big Reveal event was held on August 23 at the WJCT Studios, Jacksonville, FL. The DSSG interns presented findings from the Cathedral Arts Project, League of Women Voters of Florida, and GameFace 4:13 Training Academy projects.

1. 2022 Florida Data Science for Social Good Big Reveal
August 23, 2022
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Data Science Meets Community
Impact

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August 23, 2022
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FL-DSSG Team
Program Directors
Dr. Dan Richard
Associate Professor of Psychology,
University of North Florida (UNF)
Dr. Karthikeyan Umapathy
Associate Professor of Computing,
University of North Florida (UNF)
Advisory Board Members
Arri Landsman-Roos
Vice President of Decision Science
Jacksonville Jaguars
Matt Berseth
Co-Founder and
Chief Information Officer
NLP Logix

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August 23, 2022
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Katie Bakewell
Modeling and Analytics Team Lead
NLP Logix
Victor C. Li
Quantitative Research Manager
Jacksonville Jaguars
Andrew Pantazi
Founding Editor
The Tributary: A Northeast
Florida Journalism Collective
Chad Gardner
Data Engineer
BlocPower
Industry Sherpas
Mary Sheridan
Modeling & Analytics Team Lead
NLP Logix
Harsh Vora
Senior Data Scientist
Crowley
Jay Lewis
Director of Strategy and Analytics
Dictionary.com
Laurel Wainwright
Environmental Services,
JEA

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August 23, 2022
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Dr. Georgette Dumont
Political Science & Public
Administration, UNF
Dr. Beyza Aslan
Mathematics & Statistics, 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
Special thanks to Dr. Mike Binder (Political
Science)
Dr. Kristi Sweeney
Sport Management,
UNF
Dr. Haiyan Huang
Computer Information Systems
Flagler College
Dr. Brian J. Fisak Jr.
Clinical Psychology, UCF
Dr. Lakshmi Goel
Information Systems and
Business Analytics, UNF

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2022 FL-DSSG Interns
Mahmoud Elbatouty
Data Science,
Bachelor of Science,
UNF
Brian Ferdman
Data Science,
Master of Science Student,
UWF
Sara Milligan
Psychology
Doctor of Philosophy Student,
USF
Abhishek Pancholi
Business Analytics and Information Systems,
Master of Science Student,
USF
Adhithyan Rangarajan
Business Analytics and Information Systems,
Master of Science Student,
USF
Minakshi Sharma
Epidemiology,
Master of Public Health Student,
UNF

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August 23, 2022
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Summer
internship
program open to
all UNF students
(undergraduate
and graduate)
Social Sciences:
17
UNF: 30
Masters: 28
Duval: 16
Nassau: 2
Orange: 2
Palm Beach: 1
44 21
2017
Florida Data
Science for Social
Good
(FL-DSSG)

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August 23, 2022
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DSSG Project
during Academic
Semesters
30-Year Retrospective
Study
Generational Impact of the Affordable
Housing Program on Partner Families
Dr. Tes Tuason
UNF Public Health
Athlene Jones &
Bharani Kothareddy
Computing
Jacob Perez, Kelly Perniciaro, &
Darlene Ramirez
Public Health
Interviewing homeowners on education, employment,
wealth, and health impacts of owning a HabiJax home.

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2022 FL-DSSG Summer Internship Projects
1. Cathedral Arts Project – An Analysis of Equity for DCPS Arts Programs
2. GameFace 4:13 Training Academy - Identifying Communities with Opportunities
for Positive Youth Development
3. League of Women Voters of Florida – Dashboard for Interacting with Florida
Voter Profile Classifications

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August 23, 2022
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Fuel of 21st
Century
Problem of
Demand & Supply
A Lucrative Career
Data Science is
Future
Data Science is
Changing the World
Data Science is Hard!
Why Learn
Data Science?
Source: https://data-flair.training/blogs/why-learn-data-science/

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August 23, 2022
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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)
“Social Trustees of
Knowledge”

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Other DSSG Programs

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August 23, 2022
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NLP Logix
FIS Computing Distinguished Professorship Award

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August 23, 2022
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Dr. Sherif Elfayoumy
UNF School of Computing Director
Dr. Kaveri Subrahmanyam
UNF College of Arts & Sciences
(COAS) Dean

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Deirdre Conner
Nonprofit Center Senior Director –
Strategic Initiatives and Evaluation

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August 23, 2022
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Arri Landsman-Roos
Vice President of Decision
Science, Jacksonville Jaguars
Advisory Board Member
of FL-DSSG

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August 23, 2022
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Matt Berseth
Co-Founder and CIO,
NLP Logix
Advisory Board Member
of FL-DSSG

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Dr. John Kantner
UNF Associate Provost for Faculty and
Research

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2022 FL-DSSG Projects
1. Cathedral Arts Project - An Analysis of Equity for DCPS Arts Programs
2. GameFace 4:13 Training Academy - Identifying Communities with Opportunities
for Positive Youth Development
3. League of Women Voters of Florida – Dashboard for Interacting with Florida Voter
Profile Classifications

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August 23, 2022
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An Analysis of Equity for DCPS Arts Programs

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Cathedral Arts Project’s Mission
Elevate
Arts educators in their field
Empower
Every child's creative spirit.
Advocate
For access and equity in the arts

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The Social issue
53% of arts programs spend between $0.01-3.99/student in Duval County
No minimum
standard for art
that must be met
Some schools have
greater access to
the arts than others
Art is not a core subject
in the state of Florida

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CAP’s Opportunity to Make an Impact
Partnering with DCPS
100% response rate to
the LEAD survey
Design a data-informed
scoring system
Guide schools to make
positive changes in arts
program

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Project Objectives
and Challenges
02
Understanding
CHARACTERISTICS
01
Assessing EQUITY
03
Summarizing HEALTH
of arts programs
04
Optimizing SURVEY
05
Recommendations
for SCORING
SYSTEM

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The Data
v
v
School-level
Survey Data:
e.g., partnerships,
engagement, minutes
of instruction, arts
courses taken per
student
Demographics, test
scores, enrollment,
behavioral
incidents, poverty

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August 23, 2022
v
v
School-level
Survey Data:
e.g., partnerships,
engagement, minutes of
instruction, arts courses taken
per student
Demographics, test
scores, enrollment,
behavioral incidents,
poverty
2020 – 2021
One row per school: 159
total (104 elementary, 21
high, 24 middle schools)
51 total measures
(columns)

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Approach to the Data
2
1 3 4 5
Feature selection
and engineering
Verifying data
validity
Managing
missing data
Identifying
“special
case”
schools
Treating
elementary and
middle & high
schools differently

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Factor Analysis – Finds commonality between the measures to help summarize data patterns
M1 M2 M3 M4 M5 M6

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Factor Analysis – Finds commonality between the measures to help summarize data patterns
M1 M2 M3 M4 M5 M6

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Factor Analysis – Finds commonality between the measures to help summarize data patterns
M1 M2 M3 M4 M5 M6
Factor 1

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Factor Analysis – Finds commonality between the measures to help summarize data patterns
M1 M2 M3 M4 M5 M6
Factor 2
Factor 1

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August 23, 2022
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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Latent Class Analysis – Finds commonality between rows (schools) and places them in distinct categories (classes)
M1 M2 M3 M4 M5 M6

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Latent Class Analysis – Finds commonality between rows (schools) and places them in distinct categories (classes)
M1 M2 M3 M4 M5 M6

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Our Analyses: Dimension Reduction
SCHOOLS
MEASURES
Latent Class Analysis – Finds commonality between rows (schools) and places them in distinct categories (classes)
M1 M2 M3 M4 M5 M6
Class 1
Class 2
Class 3

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Factor Analysis Results: Middle & High Schools
Factor
Correlations
Internal Arts
Education
Student Focused
Opportunities
External Art
Engagement
Factor 1
Factor 2
Factor 2
Factor 3
.0
8
.2
9
-
.19
Arts Classes Taken per Student
Percent Access
Standardized Test Scores
Community Engagement
Total Arts Programs
Student to Teacher Ratio
Arts Spaces
Attendance
Governance
Discipline Incidents
Funding Sources
District Arts Budget
Field Trips
Partnerships
Professional Development
Measure
Loading Strength

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Factor Analysis Results: Middle & High Schools
Factor
Correlations
Internal Arts
Education
Student
Focused
Opportuniti
es
External Art
Engagement
Factor 1
Factor 2
Factor 2
Factor 3
.0
8
.2
9
-.19
Arts Classes Taken per Student
Percent Access
Standardized Test Scores
Community Engagement
Total Arts Programs
Student to Teacher Ratio
Arts Spaces
Attendance
Governance
Discipline Incidents
Funding Sources
District Arts Budget
Field Trips
Partnerships
Professional Development
Measure
Loading Strength

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August 23, 2022
Internal Art
Education
Scores and
Equity
Middle & High
Schools

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August 23, 2022
Middle & High
Schools
Internal Art
Education
Scores and
Behavioral
Outcomes

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August 23, 2022
Internal Arts
Education and
Achievement
Test Scores
Middle & High
Schools

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August 23, 2022
Elementary Schools
Exposure to
Arts in the
Community
and
Achievement
Test Scores

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LCA Results: Elementary Schools

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Perspective
Characteristics that differentiate schools
Indicators
Show the health of an art program
Insight
Uncover areas for improvement
Recommendations
To improve the survey and scoring
system
Impact Towards the Problem

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General Survey Recommendations
Data on funding
sources and
amounts
Encourage
fundraising
through principals,
teachers, parents
Know the
number of arts
classes taken
per student

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August 23, 2022
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On the horizon for Arts in Jacksonville
Equal access to
the Arts in DCPS
Year to year
improvement
Collect data
Optimize the
survey
Guide
schools

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Identifying Communities with
Opportunities for Positive Youth
Development

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About
GameFace
Mental Training Physical
Training
Spiritual Training
Before

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Afte
r
Overall
Program
Outcomes
Take leadership role
Stay away from
bad influences
Attend
college
Improve mental health
Develop good
character
Achieve higher
grades
Have a higher self-
esteem

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Social Issue: Closing The Gap
Juvenile
Crime and Violence
Physical Health
Character
Development
Identifying
Communities

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v
COMBINE
all data sources
IDENTIFY areas
for GameFace to
make an Impact
DSSG’s Approach
v
FIND ALL
Zip codes
VISUALIZE
locations
COLLECT
public
data

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DSSG Goal and Process
Develop a GIS (Geographic Information System)-based decision tool (dashboard) for identifying areas
where GameFace can make an impact
Data Collection 01
Data Merging 02
Analyses 03
Data Visualization 04
Factor Analysis,
Correlation
Tableau Dashboards
12 Datasets,
35 Zip Codes
Merging
Datasets
based on Zip
Codes

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Canvassing Public Data
Census Juvenile Crime
Health
Schools
Churches Food Deserts

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Factor Analysis Stressed
Neighborhood
Total Population
Total Crime %
Child Poverty %
Food Deserts
Poverty BIPOC %
Deaths (Diabetes)
Deaths
(Hypertension)
Juvenile Felony %
Urban
Population
Health Gap

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Correlation

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Tableau
Dashboard Demo

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Juvenile Crime
Recommendations – Zip Codes with Impact Opportunities
Disciplinary Action
Health
32210
32208
32210
32218
32209
32210
32210

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Recommended Plan of Action for GameFace
• Youth Involvement
• Youth Retention
Data within GameFace
Explore Collaborations
Data Beyond
GameFace
• Graduation
• College Scholarships
• Schools
• Churches

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Finding Insights in Florida Voter Turnout

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League of Women Voters of Florida (LWVFL)
Nonpartisan organization
encouraging informed and
active participation in
government
100+
Years of service
empowering
voters
29 Florida chapters
25+
Pieces of legislation
passed in 2021 relating
to key issues

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From Wicked Problem to Opportunity
02
03
Voter Access and
Participation
Voters keeping registration
active and continuously
participating
Data Analysis
Manipulating and extracting
data points, allowing for
analysis and visualizations,
such as dashboards
Data Access
Public data available
regarding voting history,
voter registration, and
Census
Improvement
Create a plan of action to
address the problem
04
01

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Project Focus
Analyze voter
registration and
turnout
Mapping results at the
zip code level
Empower Florida
chapters in
decision-making

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Raw Data Source
Voter Registration
• 67 county files
• Rows– ranges from
30K-2M
• Columns – 38
• Name
• Voter ID
• Gender
• Race
• DOB
etc.
Voter History
• 67 county files
• Election info [2006-
2021]
• Rows – ranges from
100k-10M
• Columns – 5
• County Code
• Voter ID
• Election Date
• Election Type
• Voting Method
Census
• 8 files
• Available data from 2016,
2018, and 2020 Census
updates
• Rows - 983 Florida zip
codes
• Information on:
Children, Demographics,
Education, Foreign,
Household Type, Income,
Sex/Age, and Work
Status
 Voting files received from Dr. Mike Binder
 Census files obtained from census.gov

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Data Preparation -
Removed sensitive
information
• Voter’s name
• Districting
• Mailing Address etc.
Removed publicly
exempted records
Extracted important
variables for future
merging
• Voter ID
• County Code
• Residential Zip
code etc.
Data Cleaning Stage
1
Data Cleaning Stage
2
Data Extraction
Voter
Registration

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Data Preparation - Voter History
Data
Cleaning
Remove sensitive PI,
public exemptions,
perform feature
engineering
Data
Filtration
Based on federal
general elections
held in 2014 -
2020
Data
Extraction
Identified voting
methods used by
each voter for
general elections
Generate
Flat Files
Created flat files
using python
pandas to
aggregate voting
method at zip
code level.

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Voter Profile Generation
Classifying the Voter IDs based on the eligibility and total vote counts on each
general election held between 2014 – 2020
Profile Code Voter Profile Description
1 Always Eligible voters participated in all general elections
2 Increasing
Eligible voters participated recent in general elections but
not in the past elections
3 Intermittent Eligible voters participated in some elections but not all
4 Decreasing
Eligible voters participated past general elections but not
recently
5 Never Voted Eligible voters didn’t participate in the elections
6 Not Eligible Registered but under 18 years of age

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Data Preparation - Census
Data Cleaning 01
Removing zip codes
from Census that are
PO Boxes,
Correctional Facilities,
or Military Housing
Data
Extraction
02
Data Filtration 03
Data
Merging 04
Extracting necessary
variables [citizen
population, age %,
race %, etc.] Filtering out zip codes with
low total population counts
(<200)
Merging all the variable
files collected by zip code
using python pandas
framework

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Merge Voter Registration + Voter History
Generate Voter Profiles
Merge with
Census Data
Dashboard 1
Voter Profile Analysis
Observe voting increasing and
decreasing patterns across
demographics
Dashboard 2
Voting Method Analysis
Observe voting methods in 2020
Dashboard 3
Census Analysis
Observe voting percentage and
socio-demographic dimensions

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Dashboard 1 – Voter
Profile Analysis
Main Use Case-
Understand Voter
Profile behavior at the
Zip code level.
Dashboard 2 – Voting
Method Analysis
Main Use Case-
Understand Voting
Method behavior at the
Zip code level.
Dashboard 3 – Effect
of Census Socio-
Economic factors on
Voting Percentage
Main Use Case-
Understand effect of
Census variables on
Voter Turnout.
TABLEAU
DASHBOARDS

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Target specific zip codes, based
on filtering selections in
dashboards
Conduct data collection
about local chapter
activities
FL local chapters to collaborate
around mutual goals
Consider statewide
planning
Empowering
LWVFL

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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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Cathedral Arts Project GameFace 4:13 Training Academy
Dr. Lucy Chen Ashanti Jackson
Vice President of Advocacy &
Community Engagement
Founder and CEO
League of Women Voters of Florida
Leah Nash
Executive Director

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Please note only in-person attendees can ask questions.
If you have a question, please keep your hand up, one of us will get to
you with a mic.

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FL-DSSG
is seeking
sponsorships

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Getting Ready for FL-DSSG 2023
Submit Proposal
Application in
January 2023
Identify Data
Sources and
associated
variables
Get Commitment
from everyone
involved
Identify a Wicked
Problem and its
Social Goodness

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