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No More Half-Fast: Improving
US Broadband Download Speed
Georgetown University  2015 Data Science
Capstone Brittne Nelson PhD, Amgad Sirag, Ernest S.
Approach and Overview
What?
 Broadband Data Story
 Research Problem
 Data Science Pipeline
So What?
 Data Visualization Story
 Findings
 Lessons Learned
Now What?
 Future Research
 Conclusions
WHAT?
There were
communities
with no
broadband
access
Every day,
residents and
businesses had
limited or no
access to
resources,
services,
content, new
customers, and
new technology
limiting
opportunities and
community
empowerment
One day, the
US government
created the SBI
to facilitate the
integration of
broadband and
information
technology into
state and local
economies
Because of
that, states
did more to
quickly
expand
broadband to
more areas
Because of
that, the SBI,
decision
makers, and
researchers-
including us-
were able to
assess how
broadband is
being
implemented
across the
US
Until finally,
residents and
businesses
gained more
access to
resources
services,
content, new
customers,
and
technology
that
empowered
and gave
them a
competitive
edge
Data Story
Benefits of Broadband
 Increased job opportunities
 Increased employment opportunities due to telework
 Higher pay
 Increased economic security
 Recruitment of job seekers, especially in rural areas
 Increased access to and quality of healthcare
 Availability of a wide variety of entertainment
 Increased participation in everyday economic, social, and community life
 Improved social connections to existing friends and acquaintances
 Creation of new relationships based on common interests
 Improved social integration of minority populations
 More positive attitudes toward aging
 Higher levels of perceived social support and connectivity among seniors
 Lower prices for online purchases
 Improved variety of items available for purchase
 Better purchasing decisions based on online information
 Savings in time and money for online vs. paper-based activities
 Improved connectivity for social or political action
Sources: Center for Social Inclusion,. (2010). The Promise and Challenge of Community Broadband Models. New York City: Center for
Social Inclusion.
Analytics ASR,. (2014). Final Report: Social and Economic Impacts of the Broadband Technology Opportunities Program. Potomac
Maryland.
Research Problem
 Does broadband availability and speed make a
states economy and its residents competitive?
 When will every state reach 98% broadband
connectivity?
 How are community economic features impacting
or related to broadband development?
Hypotheses
 Broadband speed and accessibility will cluster in
urban areas
 Areas with more broadband speed will have lower
unemployment, more businesses, and larger
populations
 Broadband growth is not consistent across all
counties
 Based on past growth, broadband coverage is not
expected to be available in 98% of all counties in
2016
Data Sources
 National Broadband Map Maximum and Minimum Download Speed by
County, June 2011-June 2014
 National Telecommunications and Information Administration
http://www.broadbandmap.gov/data-download
 Labor Force Data by County Annual Average, 2011-2013
 U.S. Department of Labor Local Area Unemployment Statistics
http://www.bls.gov/lau/
 Demographic Population by County, 2010
 U.S Census Bureau
http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml
 Total Number of Business Establishments, 2011-2012
 U.S Census Bureau
http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml
Resources
Data Science Pipeline
Sources: Ojeda, T., Murphy, S., Bengfort, B., & Dasgupta, A. (2014). Practical data science cookbook. Birmingham: Packt Publishing.
SO WHAT?
Switch to Tableau Data Visualization
Hypotheses Results
 Broadband speed and accessibility will cluster in urban areas
 URBAN TOO DIFFICULT TO DEFINE GIVEN PROJECT TIMELINE,
NOT ANALYZED
 Areas with higher broadband speed have lower unemployment,
more businesses, and larger populations
 NOT TRUE
 Broadband growth is not consistent across all counties
 TRUE
 Based on past growth, broadband coverage is not expected to be
available in 98% of all counties in 2016
 NOT ENOUGH DATA TO COMFORTABLY FORECAST
Summary of Findings
 Identified economic features are mild drivers of
technology implementation specifically broadband
speed.
 Broadband availability makes a state economy and
its residents competitive.
 Implementing broadband is not the silver bullet to
community development or economic growth, it
should be incorporated with other economic and
social features.
Lessons Learned
 Quantity of data is important for forecasting
 Source of data is important. SBI reports data from
providers which makes it somewhat difficult to
assess
 Plan a significant amount of time for data
wrangling
 Master each step of the data science pipeline
before moving on
 Operationalize more factors to provide a clear
picture of relationships when identifying
hypotheses
NOW WHAT?
Future Research
 Develop a matched pairs analysis framework that
compares changes in the availability of broadband at the
state level between counties
 Measure how much of the growth in availability within
these counties occurred due to funding (Grants, Federal
Government, Private Organizations)
 Examine broadbands long-term quantitative
extrapolations and impact on social and economics
 Index and model additional community factors such as
education, adoption, tax rate, etc in order to broadly
define economic impact
Conclusions
 There is a business case for continued focus on
broadband improvement
 Broadband improves the overall communities
 Drives economic development and shared
opportunities
 Improve quality of life across the United
States
Thank You to the Georgetown University 2015 Data Science Program
Faculty
Benjamin Bengfort
Allen Leis
Sacha Litman
Laura Lorenz
Salil Mehta
Tony Ojeda
(and lady!)
Questions?
ADDENDUM: TABLEAU STORY
No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone
No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone
No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone
No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone
No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone

More Related Content

No More Half Fast: Improving US Broadband Download Speed. Georgetown University Data Science Capstone

  • 1. No More Half-Fast: Improving US Broadband Download Speed Georgetown University 2015 Data Science Capstone Brittne Nelson PhD, Amgad Sirag, Ernest S.
  • 2. Approach and Overview What? Broadband Data Story Research Problem Data Science Pipeline So What? Data Visualization Story Findings Lessons Learned Now What? Future Research Conclusions
  • 4. There were communities with no broadband access Every day, residents and businesses had limited or no access to resources, services, content, new customers, and new technology limiting opportunities and community empowerment One day, the US government created the SBI to facilitate the integration of broadband and information technology into state and local economies Because of that, states did more to quickly expand broadband to more areas Because of that, the SBI, decision makers, and researchers- including us- were able to assess how broadband is being implemented across the US Until finally, residents and businesses gained more access to resources services, content, new customers, and technology that empowered and gave them a competitive edge Data Story
  • 5. Benefits of Broadband Increased job opportunities Increased employment opportunities due to telework Higher pay Increased economic security Recruitment of job seekers, especially in rural areas Increased access to and quality of healthcare Availability of a wide variety of entertainment Increased participation in everyday economic, social, and community life Improved social connections to existing friends and acquaintances Creation of new relationships based on common interests Improved social integration of minority populations More positive attitudes toward aging Higher levels of perceived social support and connectivity among seniors Lower prices for online purchases Improved variety of items available for purchase Better purchasing decisions based on online information Savings in time and money for online vs. paper-based activities Improved connectivity for social or political action Sources: Center for Social Inclusion,. (2010). The Promise and Challenge of Community Broadband Models. New York City: Center for Social Inclusion. Analytics ASR,. (2014). Final Report: Social and Economic Impacts of the Broadband Technology Opportunities Program. Potomac Maryland.
  • 6. Research Problem Does broadband availability and speed make a states economy and its residents competitive? When will every state reach 98% broadband connectivity? How are community economic features impacting or related to broadband development?
  • 7. Hypotheses Broadband speed and accessibility will cluster in urban areas Areas with more broadband speed will have lower unemployment, more businesses, and larger populations Broadband growth is not consistent across all counties Based on past growth, broadband coverage is not expected to be available in 98% of all counties in 2016
  • 8. Data Sources National Broadband Map Maximum and Minimum Download Speed by County, June 2011-June 2014 National Telecommunications and Information Administration http://www.broadbandmap.gov/data-download Labor Force Data by County Annual Average, 2011-2013 U.S. Department of Labor Local Area Unemployment Statistics http://www.bls.gov/lau/ Demographic Population by County, 2010 U.S Census Bureau http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml Total Number of Business Establishments, 2011-2012 U.S Census Bureau http://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml
  • 10. Data Science Pipeline Sources: Ojeda, T., Murphy, S., Bengfort, B., & Dasgupta, A. (2014). Practical data science cookbook. Birmingham: Packt Publishing.
  • 12. Switch to Tableau Data Visualization
  • 13. Hypotheses Results Broadband speed and accessibility will cluster in urban areas URBAN TOO DIFFICULT TO DEFINE GIVEN PROJECT TIMELINE, NOT ANALYZED Areas with higher broadband speed have lower unemployment, more businesses, and larger populations NOT TRUE Broadband growth is not consistent across all counties TRUE Based on past growth, broadband coverage is not expected to be available in 98% of all counties in 2016 NOT ENOUGH DATA TO COMFORTABLY FORECAST
  • 14. Summary of Findings Identified economic features are mild drivers of technology implementation specifically broadband speed. Broadband availability makes a state economy and its residents competitive. Implementing broadband is not the silver bullet to community development or economic growth, it should be incorporated with other economic and social features.
  • 15. Lessons Learned Quantity of data is important for forecasting Source of data is important. SBI reports data from providers which makes it somewhat difficult to assess Plan a significant amount of time for data wrangling Master each step of the data science pipeline before moving on Operationalize more factors to provide a clear picture of relationships when identifying hypotheses
  • 17. Future Research Develop a matched pairs analysis framework that compares changes in the availability of broadband at the state level between counties Measure how much of the growth in availability within these counties occurred due to funding (Grants, Federal Government, Private Organizations) Examine broadbands long-term quantitative extrapolations and impact on social and economics Index and model additional community factors such as education, adoption, tax rate, etc in order to broadly define economic impact
  • 18. Conclusions There is a business case for continued focus on broadband improvement Broadband improves the overall communities Drives economic development and shared opportunities Improve quality of life across the United States
  • 19. Thank You to the Georgetown University 2015 Data Science Program Faculty Benjamin Bengfort Allen Leis Sacha Litman Laura Lorenz Salil Mehta Tony Ojeda (and lady!)

Editor's Notes