The 2023 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, GrowFL, and Florida Philanthropic Network projects.
2022 Florida Data Science for Social Good (FL-DSSG) Big Reveal SlidesKarthikeyan Umapathy
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.
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.
ASD Services ResourcesAutism ResourcesFlorida Department of H.docxrandymartin91030
ASD Services Resources
Autism Resources/Florida Department of Health (www.floridahealth.gov.)
American Autism Association (www.myautism.org.)
Bloom Autism Services. ABA Therapy in South Florida (www.inbloomautims.com.
National Autism Association (https://nationalautimsassociation.org.)
Miami Dade County Autism Support Groups.
South Florida/Autism Speaks (www.autismspeaks.org.)
CAP4Kids Miami. Special Needs/Autism (https://cap4kids.org.)
The Autism Society of Miami Dade (www.ese.dadeschools.net.)
University of Miami Center for Autism and Related Disabilities (CARD)
Family Life Broward and Miami Dade. Miami Dade Special Needs Resources and Activities Guide (2019). (https://southfloridafamilylife.com.)
Running head: HIGHER EDUCATION 2
HIGHER EDUCATION 2
The Morrill Land-Grant Acts, Title V, Gratz v. Bollinger, and Grutter v. Bollinger
Student’s Name
Course Code
Institution Affiliation
Date
The Morrill Land-Grant Acts had the most significant positive impact on students' access to higher education. This is because this act made it possible for the new states in the west to put up colleges for their students. The institutions that were established gave a chance to a lot of farmers and other working-class people who could not previously access higher education. Since the land was the most readily available resource, it was given for these states to establish colleges. According to Christy (2017), even though some individuals misused the earnings from those lands, the Morrill land-grant Act gave the foundation of a national system of state colleges and universities. Finances from the lands even helped existing institutions, helped build new institutions, and other states were able to charter new schools.
Grutter v. Bollinger & Gratz v. Bollinger had the most influence in shaping how higher education institutions recruit and retain students from diverse backgrounds. This is because this ruling recognizes the benefits of diversity in education and validates any reasonable means which can be used to achieve that diversity. The verdict is even supported by a lot of studies which show that student body diversity promotes learning outcomes, and 'better prepares students for an increasingly diverse workforce and society…'" (The Civil Rights Project, 2010). Grutter vs. Bollinger laid a foundation for the diversity we see today in universities and colleges. Garces (2012) asserts that in our current world, which is diverse, access to higher education is what determines our legitimacy and strength. This all has been made possible by the Grutter v. Bollinger & Gratz v. Bollinger. The ruling helped break down stereotypes and for students to understand others from different races.
References
Christy, R. D. (2017). A century of service: Land-grant colleges and universities, 1890-1990. Routledge.
Garces, L. M. (2012). Necessary but not sufficient: The impact of Grutter v. Bollinger on student of color enrollment in graduate and profess.
Data Management and Broader Impacts: a holistic approachMegan O'Donnell
[please download to view at full resolution]
The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences.
ASD Services ResourcesAutism ResourcesFlorida Department of H.docxfestockton
ASD Services Resources
Autism Resources/Florida Department of Health (www.floridahealth.gov.)
American Autism Association (www.myautism.org.)
Bloom Autism Services. ABA Therapy in South Florida (www.inbloomautims.com.
National Autism Association (https://nationalautimsassociation.org.)
Miami Dade County Autism Support Groups.
South Florida/Autism Speaks (www.autismspeaks.org.)
CAP4Kids Miami. Special Needs/Autism (https://cap4kids.org.)
The Autism Society of Miami Dade (www.ese.dadeschools.net.)
University of Miami Center for Autism and Related Disabilities (CARD)
Family Life Broward and Miami Dade. Miami Dade Special Needs Resources and Activities Guide (2019). (https://southfloridafamilylife.com.)
Running head: HIGHER EDUCATION2
HIGHER EDUCATION2
The Morrill Land-Grant Acts, Title V, Gratz v. Bollinger, and Grutter v. Bollinger
Student’s Name
Course Code
Institution Affiliation
Date
The Morrill Land-Grant Acts had the most significant positive impact on students' access to higher education. This is because this act made it possible for the new states in the west to put up colleges for their students. The institutions that were established gave a chance to a lot of farmers and other working-class people who could not previously access higher education. Since the land was the most readily available resource, it was given for these states to establish colleges. According to Christy (2017), even though some individuals misused the earnings from those lands, the Morrill land-grant Act gave the foundation of a national system of state colleges and universities. Finances from the lands even helped existing institutions, helped build new institutions, and other states were able to charter new schools.
Grutter v. Bollinger & Gratz v. Bollinger had the most influence in shaping how higher education institutions recruit and retain students from diverse backgrounds. This is because this ruling recognizes the benefits of diversity in education and validates any reasonable means which can be used to achieve that diversity. The verdict is even supported by a lot of studies which show that student body diversity promotes learning outcomes, and 'better prepares students for an increasingly diverse workforce and society…'" (The Civil Rights Project, 2010). Grutter vs. Bollinger laid a foundation for the diversity we see today in universities and colleges. Garces (2012) asserts that in our current world, which is diverse, access to higher education is what determines our legitimacy and strength. This all has been made possible by the Grutter v. Bollinger & Gratz v. Bollinger. The ruling helped break down stereotypes and for students to understand others from different races.
References
Christy, R. D. (2017). A century of service: Land-grant colleges and universities, 1890-1990. Routledge.
Garces, L. M. (2012). Necessary but not sufficient: The impact of Grutter v. Bollinger on student of color enrollment in graduate and professional ...
2022 Florida Data Science for Social Good (FL-DSSG) Big Reveal SlidesKarthikeyan Umapathy
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.
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.
ASD Services ResourcesAutism ResourcesFlorida Department of H.docxrandymartin91030
ASD Services Resources
Autism Resources/Florida Department of Health (www.floridahealth.gov.)
American Autism Association (www.myautism.org.)
Bloom Autism Services. ABA Therapy in South Florida (www.inbloomautims.com.
National Autism Association (https://nationalautimsassociation.org.)
Miami Dade County Autism Support Groups.
South Florida/Autism Speaks (www.autismspeaks.org.)
CAP4Kids Miami. Special Needs/Autism (https://cap4kids.org.)
The Autism Society of Miami Dade (www.ese.dadeschools.net.)
University of Miami Center for Autism and Related Disabilities (CARD)
Family Life Broward and Miami Dade. Miami Dade Special Needs Resources and Activities Guide (2019). (https://southfloridafamilylife.com.)
Running head: HIGHER EDUCATION 2
HIGHER EDUCATION 2
The Morrill Land-Grant Acts, Title V, Gratz v. Bollinger, and Grutter v. Bollinger
Student’s Name
Course Code
Institution Affiliation
Date
The Morrill Land-Grant Acts had the most significant positive impact on students' access to higher education. This is because this act made it possible for the new states in the west to put up colleges for their students. The institutions that were established gave a chance to a lot of farmers and other working-class people who could not previously access higher education. Since the land was the most readily available resource, it was given for these states to establish colleges. According to Christy (2017), even though some individuals misused the earnings from those lands, the Morrill land-grant Act gave the foundation of a national system of state colleges and universities. Finances from the lands even helped existing institutions, helped build new institutions, and other states were able to charter new schools.
Grutter v. Bollinger & Gratz v. Bollinger had the most influence in shaping how higher education institutions recruit and retain students from diverse backgrounds. This is because this ruling recognizes the benefits of diversity in education and validates any reasonable means which can be used to achieve that diversity. The verdict is even supported by a lot of studies which show that student body diversity promotes learning outcomes, and 'better prepares students for an increasingly diverse workforce and society…'" (The Civil Rights Project, 2010). Grutter vs. Bollinger laid a foundation for the diversity we see today in universities and colleges. Garces (2012) asserts that in our current world, which is diverse, access to higher education is what determines our legitimacy and strength. This all has been made possible by the Grutter v. Bollinger & Gratz v. Bollinger. The ruling helped break down stereotypes and for students to understand others from different races.
References
Christy, R. D. (2017). A century of service: Land-grant colleges and universities, 1890-1990. Routledge.
Garces, L. M. (2012). Necessary but not sufficient: The impact of Grutter v. Bollinger on student of color enrollment in graduate and profess.
Data Management and Broader Impacts: a holistic approachMegan O'Donnell
[please download to view at full resolution]
The National Science Foundation’s (NSF) Broader Impacts Criterion asks scientists to frame their research beyond “science for science’s sake.” Examining data and data management through a Broader Impacts lens highlights the benefits of good data management, data management plans (DMPs), and strengthens the argument for better Data Information Literacy (DIL) in the sciences.
ASD Services ResourcesAutism ResourcesFlorida Department of H.docxfestockton
ASD Services Resources
Autism Resources/Florida Department of Health (www.floridahealth.gov.)
American Autism Association (www.myautism.org.)
Bloom Autism Services. ABA Therapy in South Florida (www.inbloomautims.com.
National Autism Association (https://nationalautimsassociation.org.)
Miami Dade County Autism Support Groups.
South Florida/Autism Speaks (www.autismspeaks.org.)
CAP4Kids Miami. Special Needs/Autism (https://cap4kids.org.)
The Autism Society of Miami Dade (www.ese.dadeschools.net.)
University of Miami Center for Autism and Related Disabilities (CARD)
Family Life Broward and Miami Dade. Miami Dade Special Needs Resources and Activities Guide (2019). (https://southfloridafamilylife.com.)
Running head: HIGHER EDUCATION2
HIGHER EDUCATION2
The Morrill Land-Grant Acts, Title V, Gratz v. Bollinger, and Grutter v. Bollinger
Student’s Name
Course Code
Institution Affiliation
Date
The Morrill Land-Grant Acts had the most significant positive impact on students' access to higher education. This is because this act made it possible for the new states in the west to put up colleges for their students. The institutions that were established gave a chance to a lot of farmers and other working-class people who could not previously access higher education. Since the land was the most readily available resource, it was given for these states to establish colleges. According to Christy (2017), even though some individuals misused the earnings from those lands, the Morrill land-grant Act gave the foundation of a national system of state colleges and universities. Finances from the lands even helped existing institutions, helped build new institutions, and other states were able to charter new schools.
Grutter v. Bollinger & Gratz v. Bollinger had the most influence in shaping how higher education institutions recruit and retain students from diverse backgrounds. This is because this ruling recognizes the benefits of diversity in education and validates any reasonable means which can be used to achieve that diversity. The verdict is even supported by a lot of studies which show that student body diversity promotes learning outcomes, and 'better prepares students for an increasingly diverse workforce and society…'" (The Civil Rights Project, 2010). Grutter vs. Bollinger laid a foundation for the diversity we see today in universities and colleges. Garces (2012) asserts that in our current world, which is diverse, access to higher education is what determines our legitimacy and strength. This all has been made possible by the Grutter v. Bollinger & Gratz v. Bollinger. The ruling helped break down stereotypes and for students to understand others from different races.
References
Christy, R. D. (2017). A century of service: Land-grant colleges and universities, 1890-1990. Routledge.
Garces, L. M. (2012). Necessary but not sufficient: The impact of Grutter v. Bollinger on student of color enrollment in graduate and professional ...
2013 DataCite Summer Meeting - Closing Keynote: Building Community Engagement...datacite
2013 DataCite Summer Meeting - Making Research better
DataCite. Co-sponsored by CODATA.
Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30
Washington, DC. National Academy of Sciences
http://datacite.eventbrite.co.uk/
Presented at the CS4TX Statewide Meeting, October 19, 2016, in Houston, TX.
Presented by:
Carol Fletcher, Ph.D.
Deputy Director
Center for STEM Education
The University of Texas at Austin
Disrupted Futures 2023 | Learning from large-scale, longitudinal datasetsEduSkills OECD
This presentation from the OECD Disrupted Futures 2023: International lessons on how schools can best equip students for their working lives conference looks at Challenging inequalities through career guidance: quantitative analyses “What Can We Learn About Career Readiness Interventions from Large-Scale, Longitudinal Datasets”. Presented by Thomas Torre Gibney and Cameron Sublett.
Discover the videos and other sessions from the OECD Disrupted Futures 2023 conference at https://www.oecd.org/education/career-readiness/conferences-webinars/disrupted-futures-2023.htm
Find out more about our work on Career Readiness https://www.oecd.org/education/career-readiness/
This report was prepared for the City of Syracuse by a Masters of Public Administration class at the Maxwell School of Citizenship and Public Affairs at Syracuse University. The team consisted of Jinsol Park, Dan Petrick, Krishna Kesari, Sarah Baumunk, and was overseen by Jesse Lecy.
Running head FORMULATING A DATA PRESENTATION BRIEF .docxwlynn1
Running head: FORMULATING A DATA PRESENTATION BRIEF 1
FORMULATING A DATA PRESENTATION BRIEF 3
Formulating a Data Presentation Brief
Student Name
Institution
Course
Date
A brief is a way of communicating to clients and stakeholders about the objectives of a business and what the business aims to achieve at the end. Formulating a brief provides information to clients and partners and thus it is important to provide the right information in a proper manner for the best results (Brigham, 2016). An effective data presentation brief utilizes the relationship between the presenter and the clients and ensures that it puts data in a clear and concise manner which is able to draw the attention of the audience and make them comprehend the data (Kirk, 2016). Data presentations may contain large volumes of variable data and using the right method to formulate a brief determines the ease with which the audience is able to understand, visualize the data and create interest in the project.
One of the methods of formulating an effective data presentation brief is through the use of charts. Charts provide an interesting way of presenting data to an audience. Charts have an advantage when presenting a data brief in that they enable presenters to display data in ways that are appealing to the audience (Kirk, 2016). This is because different charts like bar graphs can use different colors that are appealing which help to capture the attention of the audience (Kirk, 2016). In addition, bar graphs are easy to read, interpret and understand at a glance. One of the disadvantage of using charts as a method of presenting data briefs is that focusing on the visual aspects of charts as a way to make them attractive to the audience may end up camouflaging the data being presented which can make the audience to miss the objectives (Brigham, 2016). In addition, presenting complex data on charts may be boring to the audience. Another limitation with the use of charts such as pie charts is that they are limited to the number of variables that they can display and therefore, if the data contains numerous variables, they become inappropriate.
Using a Tedtalk can help in presenting data statistics to an audience. This is normally accompanied by some data slides. This method gives the presenter a golden opportunity to be more convincing to the audience through their display of confidence (Brigham, 2016). The presentation can win over the audience depending on the credibility of the speaker. This method might be a disadvantage if the presenter has poor communication skills and lack of confidence. Talking might also get the audience bored and make them fail to visualize the data.
The method of formulating a data brief presentation is very critical to the success of a presentation in terms of the ease in which the audience is able to visualize and comprehend the data.
How data fellows open doors to data careers:
This talk will draw on findings from a Data Fellowship programme that was established in 2013 through the University of Manchester’s Q-Step programme. The data fellows are drawn from social science undergraduate degrees and since starting with 19 in 2014 we have now placed 330 student into around 60 organisations to do data-led research projects. The results have been published in articles and a book and Jackie will provide insight into these placements and talk about how the programme is opening up opportunities for social science graduates to enter data and statistical careers. She has developed a ‘research and analytical skills’ and ‘professional skills’ framework based on British Academy and LinkedIn and McKinsey reports. She is currently talking to employers about their ‘data skills’ needs and she is hoping her current research will result in a data skills framework that is more inclusive and not focused predominantly on STEM subjects. Her aim is to contribute to creating a more diverse talent pipeline into data careers.
In this research, we analyzed voter registration and elections data re-leased by the Florida Division of Elections to investigate the profile of Florida voter participation. The utilized data was associated with federal general elec-tions from 2014 to 2020. Data preparation issues were resolved during the data merging, including exact duplicates, multiple associated vote types, and misclas-sified vote types. The merged data consisted of voter ID, registration county code, zip code, sex, ethnicity, age, vote type for each general election year, voting in-dicator for each general election year, and county code. Boosted Tree model (with a misclassification rate of 0.22) identified zip code, age, and voter status are key factors that influence voter participation. Based on voter eligibility and total vote counts in each general election held between 2014 and 2020, voters were classi-fied into the following profile categories: always-voted (participated in all elec-tions), increasing-in-voting (participated in recent elections but not in the past elections), intermittent-in-voting (participated in some elections but not all), de-creasing-in-voting (participated past elections but not recently), never-voted (didn’t participate in the elections), and not-eligible (registered but under 18 years of age). Voter profile counts information was merged with Census demo-graphic information at the zip code level. To find insights into the voter profiles, we created Tableau dashboards to view voter profiles, voting methods, and the effect of census variables on voter turnout at the zip code level. We hope this dashboard helps organizations like the League of Women Voters of Florida target their voter participation and engagement activities at the zip code level.
This webinar will discuss the special needs of digital humanities researchers and help you learn how to talk them about their information management needs.
Topics that will be covered:
What is humanities data?
What special considerations are involved in creating DMPs for humanities data?
Where can you store humanities data?
What will humanities funding agencies be looking for? What regulations apply to humanities data (e.g., data sharing, data management, data availability)?
What librarians should know before meeting with a humanist; how humanists differ from other researchers in the way they think about their version of data.
2019 Florida Data Science for Social Good (FL-DSSG) Big RevealKarthikeyan Umapathy
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.
This presentation was provided by Martha Kyrillidou of QualityMetrics LLC and served as the full slide deck throughout the course of our Fall training series "Research Methods and Tools." The program was held from October 11, 2022 - December 13, 2022.
Systematic Literature Review and Research Model to Examine Data Analytics Ado...Karthikeyan Umapathy
Data analytics offers a wide variety of opportunities across all industries enabling improvements in all business operations. Data analytics adoption has several associated complexities making it cumbersome and challenging for organizations. In particular, small and medium businesses (SMB) and nonprofit organizations lag behind data analytics adoption, even though they are crucial for the economy and would benefit most from data-driven decisions. This paper aims to identify factors that influence data analytics adoption by organizations. We conduct a systematic literature review to identify articles relevant to data analytics adoption studies performed using survey methodology. We synthesize literature review results to propose a research model to investigate data analytics adoption in small & medium businesses and nonprofit organizations. The proposed research model was developed primarily based on Technology Organization Environment (TOE) framework, combined with other factors relevant to data analytics adoption found in the literature. The research model investigates the influences of data analytics, organization, and environment characteristics on data analytics adoption by SMBs and nonprofits. We hope that further progress with this research will provide insights into helping SMBs and nonprofits adopt data analytics technologies.
A Systematic Review of Affordable Homeownership using Data Science MethodsKarthikeyan Umapathy
Interest in the global unaffordable housing dilemma is manifest in its growing publications. However, there is a limited systematic review of the literature concerning data science approaches to address the social issues of owning affordable homes through Housing and Urban Development (HUD) programs. The systematic literature review was performed using Google Scholar and followed the phases prescribed in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study synthesizes data sources, tools, analytical approaches, and theoretical frameworks from the literature on affordable housing issues using data science methods. Our findings indicate that researchers have approached the issue completely differently from each other, with census data and usage of mapping visualizations as being a common trend.
2013 DataCite Summer Meeting - Closing Keynote: Building Community Engagement...datacite
2013 DataCite Summer Meeting - Making Research better
DataCite. Co-sponsored by CODATA.
Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30
Washington, DC. National Academy of Sciences
http://datacite.eventbrite.co.uk/
Presented at the CS4TX Statewide Meeting, October 19, 2016, in Houston, TX.
Presented by:
Carol Fletcher, Ph.D.
Deputy Director
Center for STEM Education
The University of Texas at Austin
Disrupted Futures 2023 | Learning from large-scale, longitudinal datasetsEduSkills OECD
This presentation from the OECD Disrupted Futures 2023: International lessons on how schools can best equip students for their working lives conference looks at Challenging inequalities through career guidance: quantitative analyses “What Can We Learn About Career Readiness Interventions from Large-Scale, Longitudinal Datasets”. Presented by Thomas Torre Gibney and Cameron Sublett.
Discover the videos and other sessions from the OECD Disrupted Futures 2023 conference at https://www.oecd.org/education/career-readiness/conferences-webinars/disrupted-futures-2023.htm
Find out more about our work on Career Readiness https://www.oecd.org/education/career-readiness/
This report was prepared for the City of Syracuse by a Masters of Public Administration class at the Maxwell School of Citizenship and Public Affairs at Syracuse University. The team consisted of Jinsol Park, Dan Petrick, Krishna Kesari, Sarah Baumunk, and was overseen by Jesse Lecy.
Running head FORMULATING A DATA PRESENTATION BRIEF .docxwlynn1
Running head: FORMULATING A DATA PRESENTATION BRIEF 1
FORMULATING A DATA PRESENTATION BRIEF 3
Formulating a Data Presentation Brief
Student Name
Institution
Course
Date
A brief is a way of communicating to clients and stakeholders about the objectives of a business and what the business aims to achieve at the end. Formulating a brief provides information to clients and partners and thus it is important to provide the right information in a proper manner for the best results (Brigham, 2016). An effective data presentation brief utilizes the relationship between the presenter and the clients and ensures that it puts data in a clear and concise manner which is able to draw the attention of the audience and make them comprehend the data (Kirk, 2016). Data presentations may contain large volumes of variable data and using the right method to formulate a brief determines the ease with which the audience is able to understand, visualize the data and create interest in the project.
One of the methods of formulating an effective data presentation brief is through the use of charts. Charts provide an interesting way of presenting data to an audience. Charts have an advantage when presenting a data brief in that they enable presenters to display data in ways that are appealing to the audience (Kirk, 2016). This is because different charts like bar graphs can use different colors that are appealing which help to capture the attention of the audience (Kirk, 2016). In addition, bar graphs are easy to read, interpret and understand at a glance. One of the disadvantage of using charts as a method of presenting data briefs is that focusing on the visual aspects of charts as a way to make them attractive to the audience may end up camouflaging the data being presented which can make the audience to miss the objectives (Brigham, 2016). In addition, presenting complex data on charts may be boring to the audience. Another limitation with the use of charts such as pie charts is that they are limited to the number of variables that they can display and therefore, if the data contains numerous variables, they become inappropriate.
Using a Tedtalk can help in presenting data statistics to an audience. This is normally accompanied by some data slides. This method gives the presenter a golden opportunity to be more convincing to the audience through their display of confidence (Brigham, 2016). The presentation can win over the audience depending on the credibility of the speaker. This method might be a disadvantage if the presenter has poor communication skills and lack of confidence. Talking might also get the audience bored and make them fail to visualize the data.
The method of formulating a data brief presentation is very critical to the success of a presentation in terms of the ease in which the audience is able to visualize and comprehend the data.
How data fellows open doors to data careers:
This talk will draw on findings from a Data Fellowship programme that was established in 2013 through the University of Manchester’s Q-Step programme. The data fellows are drawn from social science undergraduate degrees and since starting with 19 in 2014 we have now placed 330 student into around 60 organisations to do data-led research projects. The results have been published in articles and a book and Jackie will provide insight into these placements and talk about how the programme is opening up opportunities for social science graduates to enter data and statistical careers. She has developed a ‘research and analytical skills’ and ‘professional skills’ framework based on British Academy and LinkedIn and McKinsey reports. She is currently talking to employers about their ‘data skills’ needs and she is hoping her current research will result in a data skills framework that is more inclusive and not focused predominantly on STEM subjects. Her aim is to contribute to creating a more diverse talent pipeline into data careers.
In this research, we analyzed voter registration and elections data re-leased by the Florida Division of Elections to investigate the profile of Florida voter participation. The utilized data was associated with federal general elec-tions from 2014 to 2020. Data preparation issues were resolved during the data merging, including exact duplicates, multiple associated vote types, and misclas-sified vote types. The merged data consisted of voter ID, registration county code, zip code, sex, ethnicity, age, vote type for each general election year, voting in-dicator for each general election year, and county code. Boosted Tree model (with a misclassification rate of 0.22) identified zip code, age, and voter status are key factors that influence voter participation. Based on voter eligibility and total vote counts in each general election held between 2014 and 2020, voters were classi-fied into the following profile categories: always-voted (participated in all elec-tions), increasing-in-voting (participated in recent elections but not in the past elections), intermittent-in-voting (participated in some elections but not all), de-creasing-in-voting (participated past elections but not recently), never-voted (didn’t participate in the elections), and not-eligible (registered but under 18 years of age). Voter profile counts information was merged with Census demo-graphic information at the zip code level. To find insights into the voter profiles, we created Tableau dashboards to view voter profiles, voting methods, and the effect of census variables on voter turnout at the zip code level. We hope this dashboard helps organizations like the League of Women Voters of Florida target their voter participation and engagement activities at the zip code level.
This webinar will discuss the special needs of digital humanities researchers and help you learn how to talk them about their information management needs.
Topics that will be covered:
What is humanities data?
What special considerations are involved in creating DMPs for humanities data?
Where can you store humanities data?
What will humanities funding agencies be looking for? What regulations apply to humanities data (e.g., data sharing, data management, data availability)?
What librarians should know before meeting with a humanist; how humanists differ from other researchers in the way they think about their version of data.
2019 Florida Data Science for Social Good (FL-DSSG) Big RevealKarthikeyan Umapathy
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.
This presentation was provided by Martha Kyrillidou of QualityMetrics LLC and served as the full slide deck throughout the course of our Fall training series "Research Methods and Tools." The program was held from October 11, 2022 - December 13, 2022.
Systematic Literature Review and Research Model to Examine Data Analytics Ado...Karthikeyan Umapathy
Data analytics offers a wide variety of opportunities across all industries enabling improvements in all business operations. Data analytics adoption has several associated complexities making it cumbersome and challenging for organizations. In particular, small and medium businesses (SMB) and nonprofit organizations lag behind data analytics adoption, even though they are crucial for the economy and would benefit most from data-driven decisions. This paper aims to identify factors that influence data analytics adoption by organizations. We conduct a systematic literature review to identify articles relevant to data analytics adoption studies performed using survey methodology. We synthesize literature review results to propose a research model to investigate data analytics adoption in small & medium businesses and nonprofit organizations. The proposed research model was developed primarily based on Technology Organization Environment (TOE) framework, combined with other factors relevant to data analytics adoption found in the literature. The research model investigates the influences of data analytics, organization, and environment characteristics on data analytics adoption by SMBs and nonprofits. We hope that further progress with this research will provide insights into helping SMBs and nonprofits adopt data analytics technologies.
A Systematic Review of Affordable Homeownership using Data Science MethodsKarthikeyan Umapathy
Interest in the global unaffordable housing dilemma is manifest in its growing publications. However, there is a limited systematic review of the literature concerning data science approaches to address the social issues of owning affordable homes through Housing and Urban Development (HUD) programs. The systematic literature review was performed using Google Scholar and followed the phases prescribed in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study synthesizes data sources, tools, analytical approaches, and theoretical frameworks from the literature on affordable housing issues using data science methods. Our findings indicate that researchers have approached the issue completely differently from each other, with census data and usage of mapping visualizations as being a common trend.
Identifying Communities with Opportunities for Positive Youth DevelopmentKarthikeyan Umapathy
Game Face 4:13 Training Academy is a strategic camp developed by Mrs. Ashanti Jackson that exists to develop basketball skills, academic excellence, and ethical character within young people in the Jacksonville community. To identify the areas where GameFace can offer its programs, we collected data from the Census, Florida Department of Juvenile Justice, Florida Department of Health, Duval County Public Schools, Food Deserts, and Churches with Food Banks. We performed Factor Analysis and Correlation Analysis on the gathered data. We utilized the statistical analysis results to create a geographic information systems decision tool using Tableau.
Based on our analysis, we understand that youths are facing major issues in Duval County are Juvenile Arrests and Disciplinary Actions within schools. Zip Codes 32210, 32209, and 32208 have a higher number of all the issues analyzed. Game Face is on the right track to providing Physical, Mental, and Spiritual Training to youth in Duval County as these would help tackle these issues and create a positive impact on the lives of youth. We recommend Game Face collaborate with schools and churches in these communities to set up their training camp. We recommend Game Face gather data on youth involvement in training, leadership coaching, and healthy habits programs. We recommend Game Face to gather data related to student academic outcomes beyond Game Face training, such as college scholarships and high school graduations.
Longitudinal Study on the Generational Impacts of Habitat for Humanity: A Res...Karthikeyan Umapathy
Habitat for Humanity addresses the challenging social issue of providing affordable housing to income-constrained families. There isn’t much research on the generational impact of affordable homeownership on the families served by Habitat. In this research, we propose a longitudinal research design that will collect and analyze data gathered from families who received affordable housing. This study will be performed as a collaborative inquiry with a partnership from HabiJax, Jacksonville, FL, affiliated with Habitat for Humanity. We will be conducting semi-structured interviews focused on education, employment, wealth building, safety, neighborhood, health, and critical life-changing impacts. We will be collecting data every 5 years over the next 30 years. Collected data would be analyzed to identify the generational impacts of affordable housing. We will be sharing the findings with HabiJax decision-makers who could improve program strategies.
We analyzed voter registration and elections data released by the Florida Division of Elections to investigate the profile of Florida voter participation. We utilized data associated with general elections from 2012 to 2020. We merged an individual’s January 2021 voter registration data with elections data for above listed years. Several data preparation issues were resolved during the data merging process, including exact duplicates, multiple associated vote types, and misclassified vote types. The merged data consisted of the following columns: voter ID, registration county code, zip code, sex, ethnicity, age, [2012 to 2020] vote type, [2012 to 2020] voting indicator, and [2012 to 2020] county code. As it is computationally intensive to process data of entire Florida voters, county-wise data were merged into associated metropolitan, micropolitan, and rural areas (MSA). Based on voter eligibility and total vote counts on each general election held between 2012 and 2020, voters were classified into the following profile categories: always-voted (participated in all elections), increasing-in-voting (participated in recent elections but not in the past elections), intermittent-in-voting (participated in some elections but not all), decreasing-in-voting (participated past elections but not recently), never-voted (didn’t participate in the elections), and not-eligible (registered but under 18 years of age). Our analysis indicates that there is a considerable number of never-voted individuals regardless of MSA regions. Profile analysis reveals that metropolitan and micropolitan regions tend to have more individuals categorized as increasing-in-voting than always-voted. In contrast, rural regions tend to have more individuals categorized as always-voted than increasing-in-voting.
FL-DSSG Big Reveal Event was held on August 17th, 2021, from 4:30 PM to 6:30 PM as a Zoom webinar event. At the event, DSSG interns presented findings and revealed insights gained from the Barnabas Center, League of Women Voters of Florida, and Jewish Family and Community Services data science projects.
Dashboard for Extracting Regional Insights and Ranking Food Deserts in Northe...Karthikeyan Umapathy
2019 Florida Data Science for Social Good (FL-DSSG) Feeding Northeast Florida project results presented as a poster at the University of North Florida (UNF) Digital Humanities Initiative (DHI) Digital Projects Showcase event on November, 15, 2019.
Developing a GIS Dashboard Tool to Inform Non-Profit Hospitals of Community H...Karthikeyan Umapathy
Slide deck for the paper presented at the 2019 Conference on Information Systems Applied Research (CONISAR), Cleveland, OH, on November 8, 2019.
The objective of this paper is to describe the methods used to develop geographic information systems (GIS) dashboard tool and explain how it can assist nonprofit hospitals to identify priority neighborhoods. Multiple data sources from the 500 Cities Project databases were analyzed, and two online dashboards were created. The first dashboard is a hospital-specific composite dashboard, and the second is a comparison dashboard of health outcomes identified by both the hospital and the county’s community health needs assessment focused on neighborhood-level disparities. Hospital-specific health outcomes were Stroke, Diabetes, and Coronary Heart Disease. County-specific health outcomes were Obesity, Dental, and Mental Health. All of the six health outcomes were standardized, rescaled, and weighted within the final composite score. Tableau was used for developing the dashboards and geographically mapping the analyzed data. The maps were developed specifically for a large hospital in Florida; however, this methodology can be utilized by other hospitals across the US. City-specific data is essential to ensure the accuracy of community health needs. The development of an interactive, comprehensive map using Tableau is a useful tool for visualizing target neighborhoods for community health outreach. The integration of community needs assessment findings into the development of composite scores allows hospitals in the US to use this tool to inform community health outreach strategy adequately.
Collaborative Community Engagement: Bringing Data Science to Societal Challen...Karthikeyan Umapathy
The collaborative community engagement triad model involves a partnership between the university, private, and nonprofit sectors to enhance the student learning experience while creating community impacts. This talk will introduce the triad model, and describe how it was implemented at the College of Computing at the University of North Florida under the Data Science for the Social Good (DSSG) umbrella. The talk will describe the challenges faced, how they were addressed, and the solutions developed in response. The triad model and the outcomes from the model will be demonstrated with example implementations from a capstone that leads to students producing software and other artifacts incorporating data science techniques in response to important societal problems. The talk will also discuss questions of scaling such efforts, and the next steps in the journey at the University of North Florida.
2018 Florida Data Science for Social Good (FL-DSSG) Big Reveal PresentationKarthikeyan Umapathy
At the 2018 Big Reveal event, FL-DSSG interns presented findings and revealed insights gained from the Baptist Health, Family Support Services, Girls Inc. of Jacksonville, and Performers Academy projects. 2018 FL-DSSG Internship program was funded by the Nonprofit Center for Northeast Florida and the University of North Florida. 2018 Big Reveal event was sponsored by AgileThought, Tampa based software consulting firm. Big Reveal presentations were held at the WJCT Studio A, 100 Festival Park Ave., Jacksonville, FL - 32202. For more information about the 2018 FL-DSSG program visit http://dssg.unf.edu/2018program.html.
Security and User Experience: A Holistic Model for CAPTCHA Usability IssuesKarthikeyan Umapathy
CAPTCHA is a widely adopted security measure on the Web and is designed to effectively distinguish humans and bots by exploiting human’s ability to recognize patterns that an automated bot is incapable of. To counter this, bots are being designed to recognize patterns in CAPTCHAs. As a result, CAPTCHAs are now being designed to maximize the difficulty for bots to pass human interaction proof tests, while making it quite an arduous task even for humans as well. The approachability of CAPTCHA is increasingly being questioned because of the inconvenience it causes to legitimate users. Irrespective of the popularity, CAPTCHA is indispensable if one wants to avoid potential security threats. We investigated the usability issues associated with CAPTCHA. We built a holistic model by identifying the important concepts associated with CAPTCHAs and its usability. This model can be used as a guide for the design and evaluation of CAPTCHAs.
Florida Data Science for Social Good (FL-DSSG) Big Reveal event was held on August 7 (Monday) from 4:30 PM to 6:30 PM at the Nonprofit Center (40 E Adams St., Jacksonville). At the event, FL-DSSG interns presented findings and revealed insights gained from the Mayo Clinic, Changing Homelessness, and Yoga 4 Change projects.
A Research Plan to Study Impact of a Collaborative Web Search Tool on Novice'...Karthikeyan Umapathy
In the past decade, research efforts dedicated to studying the process of collaborative web search have been on the rise. Yet, limited number of studies have examined the impact of collaborative information search process on novice’s query behaviors. Studying and analyzing factors that influence web search behaviors, specifically users’ patterns of queries when using collaborative search systems can help with making query suggestions for group users. Improvements in user query behaviors and system query suggestions help in reducing search time and increasing query success rates for novices. In this paper, we present an empirical study plan designed to investigate the influence of collaboration between experts and novices as well as use of a collaborative web search tool on novice’s query behavior. In this research-in-progress study, we intend to use SearchTeam as our collaborative search tool. The results of this study are expected to provide information that could help collaborative web search tool designers to find ways to improve the query suggestions feature for group users. Additionally, this study will test the hypothesis that – having domain experts working with non-experts using collaborative search systems would immensely increase the query success rates for non-expert users, and help them learn querying strategies over the course of time. If the above hypothesis is proven, then use of collaborative web search tools during training of interns would be highly recommended.
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
1
Data Science Meets Community
Impact
2. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
2
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
3. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
3
Industry Sherpas & Faculty
Leads
Katie Bakewell
Modeling and
Analytics Team Lead
NLP Logix
Victor C. Li
Quantitative Research
Manager
Jacksonville Jaguars
Rachel Lewis
Data Scientist
Medical Solutions
Chad Gardner
Data Engineer
BlocPower
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
Brian Ferdman
Strategy and
Analytics Analyst
CSX
Habeeba Siddiqui
Data Analyst at Autism
Institute
Drexel University
Ben Webster
Modeling and Analytics
Team Lead
NLP Logix
Dr. Georgette Dumont
Political Science & Public
Administration, UNF
Dr. Beyza Aslan
Mathematics & Statistics, UNF
Dr. Michelle DeDeo
Mathematics & Statistics, UNF
Dr. Haiyan Huang
Computer Information Systems
Flagler College
Dr. Charles J. Fitzsimmons
Psychology, UNF
Dr. Gordon Ratika
Anthropology, UNF
Dr. Xudong Liu
Computing, UNF
Dr. Amanda Pascale
Higher Education
Administration,
UNF
Dr. Sandeep Reddivari
Computing, UNF
Dr. Di Shang (Richard)
Business Analytics
UNF
Dr. Brian J. Fisak
Psychology, UCF
4. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
4
2023 FL-DSSG Interns
Partha Protim Datta
Data Science
Master of Science Student
UNF
Patrick Harrell
Psychology
Bachelor of Science
UNF
Vinaya Rajaram Nayak
Business Analytics and
Information Systems
Master of Science Student
USF
Aishwarya Pawar
Data Science
Bachelor of Science
UNF
Sri Ram Sripada
Business Analytics and
Information Systems
Master of Science Student
USF
Yuanyuan Yang
Social Work
Doctor of Philosophy Student
Washington University in St. Louis
Amanda Yelverton
Psychology
Bachelor of Science
UNF
5. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
5
Summer
internship
program open to
undergraduate and
graduate students
Social Sciences:
19
UNF: 34
Masters: 31
Duval: 16
Orange: 3
Nassau: 2
St. Johns: 1
Palm Beach: 1
Hillsborough: 1
51 24
2017
Florida Data
Science for Social
Good
(FL-DSSG)
6. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
6
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”
7. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
7
2023 FL-DSSG Program Sponsors
Gold Sponsors
Bronze Sponsors
8. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
8
Arri Landsman-Roos
Vice President of Decision
Science, Jacksonville Jaguars
Advisory Board Member
of FL-DSSG
Matt Berseth
Co-Founder and CIO,
NLP Logix
Advisory Board Member
of FL-DSSG
2023 FL-DSSG Program Sponsors
9. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
9
2023 FL-DSSG Projects
1. Cathedral Arts Project - A Roadmap for Arts Education: Feedback and
Community Engagement
2. GrowFL - Identifying Patterns and Trends with Florida Companies to Watch
Application Data
3. Florida Philanthropic Network – Developing a Methodology to Estimate Census
Undercounts in Florida Counties
10. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
10
A Roadmap for Arts Education:
Feedback and Community Engagement
11. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
11
Unsung Heroes
“The arts have created an innovative
way to engage our students in learning
and strengthening their reading skills
through theatre … ”
- Davina Parker
Partnering with Cathedral Arts
Project and Community
Organizations
Focus on Literacy &
Arts Integration
Davina Parker
Spring Park Elementary School
Principal
12. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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13. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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v
v
Create Change
Collective impact through
nurturing students and
engaging the community
Inclusion
Arts education that highlights
every child's unique skills
Diversity
Encourage authentic
self expression
Empower
Advocate for
access and equity
Inspire
Every child’s
creative spirit
Cathedral Arts Project
14. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
14
Arts education
data collected from
Principals
Data-informed
benchmark analysis
recommended
emphasizing field trips Creating a system to stimulate
improvements in arts
programming through
constructive feedback
CAP & FL-DSSG’s Partnership
2017 – Present: LEAD Survey
2022: FL-DSSG Project
2023: FL-DSSG Project
15. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
15
Awareness and
impact
Educational
policies
Student
development
Inequity
Wicked Problem to Opportunity
Resource
allocation
Arts Education
16. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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Embrace the
fundamental
goals of CAP’s
mission
Process and
make sense of
the data
Assist in providing
constructive
feedback to
Principals
Generate a
scoring system
for arts
education
Expanding the
awareness of and
accessibility to
arts education
2023 DSSG Project Pursuits
Interpret the
modified Lead Questions
17. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
17
LEAD
FDOE
Florida Department of Education
Landscape in Education in the Arts in Duval
Modified
LEAD
Data Distinguishing
the data’s
origin
Establishing
scoring
indexes
with a fresh
start
Striking a
balance
between
LEAD and
FDOE data
Challenges
18. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
18
Building the scoring
mechanism
Approaches to data
Data-Driven
Methodology
01
03
05
04
02
Selecting clustering features
Managing missing data
Feature engineering
Merging data
Defining clusters
19. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
19
Clustering Results
All
Schools
Elementary
Schools
Middle/High
Schools
Magnet
Schools
Group #1
Group #2
Group #3
Group #4
Group #5
A
B
A
B
C
These groups are
differentiated
based on their
range of
responses to the
LEAD survey
questions.
20. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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06 01
02
03
04
05
Six-Dimension Evaluation Attributes
Engagement
Governance Quality
Funding
Access
Others
Access:
Availability or
opportunity for students
to participate in or
engage with the arts
Funding:
Financial resources
allocated to support the
arts programs
Quality:
Elements that determine
the excellence, value,
and impact of the arts
project
Governance:
Structure and guidelines
that direct the
implementation of the
arts program
Engagement:
Collaboration between
students, teachers,
parents, and the broader
community in the arts
program
Others:
Other attributes will be
integrated into the data
21. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
21
Celebrating Arts Index
Blossoming
Achieving
Elevating
Flourishing
1st 2nd 3rd 4th
Quartile
22. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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Access
Funding
Quality
Governance
Engagement
Others
Dimensions
Blossoming
Achieving
Elevating
Flourishing
Indexes
Astral Arts Score:
23. 2
3
Sample Elementary School
Dear Principal,
Thank you wholeheartedly for your school's participation in our recent arts education survey. I am truly inspired to see your
team's tremendous effort in elevating arts education in Duval County, especially given the resource constraints.
I'm pleased to inform you that your school has been evaluated as part of the "Achieving" group in the Access and Governance
dimensions. This remarkable achievement underscores your relentless commitment to contributing positively to the arts.
Specifically, your school has done an outstanding job in the Access dimension, with a percentage of access landing
in the "Flourishing" category. The total arts program and arts classes per student have been classified in the
"Elevating" group. These results are a testament to your dedication and ingenuity, and I extend my heartfelt
congratulations to you and your team.
While celebrating these successes, I recognize that we can strive together to achieve even more. We can reach new heights
in arts education by focusing on increasing funding and enhancing engagement through initiatives like adding field trips or
building partnerships with community organizations.
I truly appreciate your hard work and eagerly anticipate witnessing the continuous growth and improvement of your school's
arts program in the coming year.
24. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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Importance of Feedback for School Principals
Aligning arts
education with
broader
community goals
Ensuring equal
access to arts
education
Providing a
cohesive and
unified approach to
assessment
Aiding in data-
informed
decision-making
and policy
formulation
Collective
impacts for
schools
CAP mission
achievement
LEAD data
utilization
Arts advocacy
in Northeast FL
25. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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Solutions and Recommendations
Collaboration Equity
DSSG Product Awareness
Community
Participation
26. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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Identifying Patterns and Trends with
Florida Companies to Watch Application
Data
27. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
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6-150
Employees
Second
Stage
Companies
225,000
Net Change in
Jobs 2022 [2]
400k +
Expanding
Businesses
(2022) [2]
Sources:
[1] FL Tax Watch - https://shorturl.at/nqrLZ
[2] BLS - https://www.bls.gov/bdm/sizeclassqanda.htm#q29
[3] GrowFL - https://growfl.com/
31.7% of jobs
in Florida [1]
15.5% of
companies in
Florida [2]
Annual
Revenue of
$750K-
$50M [3]
28. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
28
GrowFL
Transformation of Second Stage
Company into Third Stage Company
Cultivating Growth of
Second Stage
Companies
Strategies &
Resources
Economic Growth & Prosperity
Helps CEOs and Founders overcome unique challenges
faced by second-stage companies as they grow.
Source: [1] GrowFL - https://shorturl.at/oyJ79
$942million
Total Impact on Regional GDP [1]
29. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
29
Florida Companies To Watch
Honorees
Finalists
Applicants
Round 1 Top 50 Companies
Each Year
Round 2
30. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
30
DSSG Project Goals
Patterns
across
industries &
regions
Identify trends
Opportunities
for expansion
31. 2023 Florida Data Science for Social Good Big Reveal
August 23, 2023
31
Story
Telling
Data
Visualization
Methodology
Cleaning Data
Merging Data
Feature Engineering
Tableau
Text Pre-processing
Topic Modeling
Dashboard
Text
Analysis
Data
Preparation
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Companies To Watch Application Data
Data
Text
Financial
Demographic
Industry Types
Unique Strengths & Company Descriptions
Company Culture & Philanthropic Activities
Revenue Growth & FTE Growth
Gross Revenue & Full time equivalent across years
County & Region
Race & Gender of Company Ownership
30 Primary Business
NAICS Codes
(North American Industry Classification System)
A
B
A
B
A
B
A
B
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Challenges Faced
Miss Matched Regions
and Counties
Topic Modeling,
Word Mapping
Missing Data,
Data Merging
Tableau
Dashboarding
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Tableau
Dashboard Demo
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Text Mining & Topic Modeling
Merging Text
Data 01
02 04
03 05
Visualize Words
using Word Cloud
Topic modeling:
Latent Dirichlet
allocation (LDA)
Text
Preprocessing
Tokens from
preprocessed text and
adding them to
dictionary
w
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Honoree Topics
Local
Support
Environment
Events Values
Management
Vision
Leading
People
Culture
Solar
Innovative
Design
Medical Healthcare
Drug
Potential Growing
Commercial
Customer
Community
Engagement
and
Sustainability
Strategic
Leadership
Innovative
Workforce
Evidence
Based Design
Scaling
Customer
Base
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Tableau
Dashboard Demo
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Traveling and
reaching out to
counties
Diversify their outreach
to other industries
Develop Community
Engagement Programs
Using Identified Topics
Applicant to Honoree
Process
Recommendations and Next Steps for GrowFL
Revenue growth stability
Programs specific to Industry
and Region
Low Applications County
Target Industries
according To regions
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Developing a Methodology to Estimate Census
Undercounts in Florida Counties
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Modern-Day U.S. Census
For 2020
Internet Self
Response
Data Collection
Decennial
Census
Post
Enumeration
Survey
American
Community
Survey (ACS)
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Undercounting
What is Undercount ?
When people are missed in
census data collection
How it happens?
Measured by Non-response
Florida Undercounts
2020 census had 3.48%
undercount in Florida
Impacts
Between $11 billion and
$21 billion funding loss
expected over the decade
Source : Florida Tax Watch - https://floridataxwatch.org/Research/2020-census
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What Next ?
What ?
Where ?
Who ?
Wicked Problem
People who were
missed in county level
Response method
Demographics
Socioeconomic impact
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Expanding
Philanthropy
Approach to
census issue
Reached to
Texas Research
Institute
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DSSG Project Goals
Data Collection
and
Selection Creating the
Methodology to
Measure County-level
Undercount
Dashboarding
and
storytelling
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Opportunity
Atlas
Florida
Non-
Profit
Alliance
ALICE
Data Sources
Florida
Supervisor
of Elections
US Census
Bureau
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Data
Merging
Data
Cleaning
Measures
Selection
Data
Collection
Challenges of Working with Data
2020 census
data
Standardization,
bounding and
rescaling
Finding out the
best fit measure
based on the
Correlation
Masterfile containing
data needed for
undercount calculations
and visuals
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Undercount Methodology
Personal
Geographic
Census
Campaign
Civic Engagement
• Voters Turnout %
• Total Non-Profit rate (p1000)
Social Capital
• Economic Connectedness %
• Percent ALICE %
• Racial Integration rate
Difficult to Register
• Address Unable to geocode rate
Difficult to Reach
• Population Share %
• Renters %
Non-Response Rate
• Refusal rate %
• No-one home %
• Maximum attempts reached
Digital Divide
• Internet access %
𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝑖𝑛𝑑𝑒𝑥 =
𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝑃𝑒𝑟𝑠𝑜𝑛𝑎𝑙 + 𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝐺𝑒𝑜𝑔𝑟𝑎𝑝ℎ𝑖𝑐 + 𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝐶𝑎𝑚𝑝𝑎𝑖𝑔𝑛𝑖𝑛𝑔
3
𝐶𝐿𝐼 = 0.0348 ∗ 𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝑖𝑛𝑑𝑒𝑥
𝑈𝑛𝑑𝑒𝑟𝑐𝑜𝑢𝑛𝑡𝑃𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛_𝑐𝑜𝑢𝑛𝑡𝑦 = 0.0348 + 𝐶𝐿𝐼
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Tableau
Dashboard Demo
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Undercount
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Recommendations & Implications
Census Campaign
Geographic
Personal
Highest index: Urban Counties
Recommendation: Improve
geocode mapping to keep up
new housing developments
Highest index: North (East,
Central, and West) Regions
Recommendation: Connect with
nonprofits in these regions to
increase engagement
Highest index: Rural counties
Recommendation: Improve
internet access to address digital
divide issue
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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 GrowFL
Dr. Lucy Chen Ruth Buchanan
Vice President of Advocacy &
Community Engagement Vice President of
Business Development
Florida Philanthropic Network
Ashley Heath Dietz
President and CEO
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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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AI for Good Hackathon
September 22 to 24, 2023
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UNF students collaborate and
innovate for social good
Hours Hackathon
Empowering youth development and
character building through game of golf
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Getting Ready for FL-DSSG 2024
Submit Proposal
Application in
January 2024
Identify Data
Sources and
associated
variables
Get Commitment
from everyone
involved
Identify a Wicked
Problem and its
Social Goodness
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