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Computing4Change
Developing Our Future Workforce
Kelly Gaither
Director of Health Analytics, Senior Research Scientist, Texas
Advanced Computing Center
Associate Professor Women’s Health, Dell Medical School
The University of Texas at Austin
4/3/2019 1
OUR LOOMING CRISIS
2
 By 2040, US
projected to be
majority/minority
country
 Census Bureau
projects that by
2050, minorities will
comprise 53
percent of the
population
INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE
OF OUR INCREASINGLY DIVERSE POPULATION
3
 By 2020, the US is projected to
have need for an additional
1,400,000 high tech jobs
 Computer science programs
are projected to graduate
400,000 students with
qualifications for these jobs
 That leaves a deficit of
1,000,000 unmet jobs
INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE
OF OUR INCREASINGLY DIVERSE POPULATION
4
 By 2020, the US is projected to
have need for an additional
1,400,000 high tech jobs
 Computer science programs
are projected to graduate
400,000 students with
qualifications for these jobs
 That leaves a deficit of
1,000,000 unmet jobs
INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE
OF OUR INCREASINGLY DIVERSE POPULATION
5
 By 2020, the US is projected to
have need for an additional
1,400,000 high tech jobs
 Computer science programs
are projected to graduate
400,000 students with
qualifications for these jobs
 That leaves a deficit of
1,000,000 unmet jobs
 McKinsey Global Institute predicts a 2020 global workforce with the
requisite college and postgraduate education qualified to fill just 13
percent of projected labor demands worldwide.
 Demographics globally:
 India and Brazil are rapidly increasing STEM enrollments through targeted
enrollment programs.
 Europe, however, is projected to have a shortage in the high-tech sector
similar to the United States.
 This deficit is much more extreme in emerging countries that are
depending on 21st century skill sets for economic growth.
GLOBAL WORKFORCE ISSUE
DEMOGRAPHICS
• Women’s representation in STEM occupations has declined since
the 1990s
• Men are employed in STEM occupations at 2X the rate of women:
31% vs 15%
• Nearly 1 in 5 female STEM graduates leave the labor force, less than
1 in 10 male STEM graduates.
• In 2011, 6% of STEM workers were Black (up from 2% in 1970).
• Hispanics were only 7%of the STEM workforce in 2011.
• Native Americans, Pacific islanders and Indigenous Peoples have
been historically low in STEM employment, registering consistently in
the low single digits.
DIVERSITY/INCLUSION → INNOVATION → ECONOMIC
COMPETITIVENESS
• 95% corporate leaders believe culture of diversity and inclusion
contribute to innovation
• For every 10% increase in racial and ethnic diversity on senior
executive team, earnings increase .8%
• Companies in the top quartile for racial and ethnic diversity are 35%
more likely to have financial returns above national industry median
• 86% female and 74% male millennials consider employers’ policies
on diversity, equality and inclusion
• Transitioning from a single-gender office to office evenly split
estimate 41% revenue gain
• A move from no female leaders to 30% representation is associated
with a 15% increase in revenue
DIVERSITY/INCLUSION → INNOVATION → ECONOMIC
COMPETITIVENESS
• 15% of the world’s population has some form of disability and represent
$200B in discretionary spending
• Combined buying power of U.S. LGBT adult population is estimated at
$917B
• Veterans perform 4% higher than average employees and have 3% less
turnover (Company with 1K employees, translates to $7.3M annually)
Ignoring inclusion and diversity in tech comes with a $16B
price tag
Unfair treatment in the workplace is the single largest driver
of turnover in tech
10
 Millenials/Post-millenials are most diverse sector of our population and represent the
largest generation to date.
 Grown up in an age of pervasive and often-times ubiquitous technology, violence,
and with the introduction of the internet, information overload.
 According to a report by The Council of Economic Advisers in 2014, millennials are
more connected to technology than any previous generation. They are more likely
to be constantly connected to their smart phones and have multiple means of
communicating with their peers via social media.
 They express a greater value to the role they play in their communities, including a
close relationship with their families. They rate quality of life as being very important
as well as a strong desire to make a positive social impact on their own children and
communities and society at large [2].
WHAT DO WE KNOW ABOUT OUR FUTURE WORKFORCE?
4/3/2019 11
4/3/2019 12
ADVANCED COMPUTING FOR SOCIAL CHANGE
13
Advanced Computing for Social Change
Black Lives Matter SC16 Challenge
Advanced Computing for Social Change
Examining Immigration Through a Data
Science Lens SC17 Challenge
Best Workforce Development Paper
PEARC’17
Chosen to be featured in Jan 2018
issue of IEEE’s Computing Edge
ADVANCED COMPUTING FOR SOCIAL CHANGE
Engage students through socially relevant topics
Curriculum Elements:
14
Storytelling – aids memory by putting
information into an emotional context
• When emotions are present, hormones
released to the brain act as a memory
fixative.
• Story shapes life values and teaches
acceptance, and provides students an
opportunity to broaden their
understanding of heritage and culture,
both theirs and others.
ADVANCED COMPUTING FOR SOCIAL CHANGE
Engage students through socially
relevant topics
Curriculum Elements:
15
Visualization – we remember 10% of what
we hear, 65% of what we see
30%Discover Magazine, June 1993: “The Vision Thing: Mainly in the Brain”
3%
8%
ADVANCED COMPUTING FOR SOCIAL CHANGE
Engage students through socially
relevant topics
Curriculum Elements:
16
Team Science – research is becoming
increasingly more multidisciplinary
• Requires skills in leadership, communication,
and an understanding of the bigger picture
• Curriculum that actively fosters collaboration
has proven successful at increasing
productivity, retention, and success of
women and underrepresented minority
scientists in multiple STEM fields
ADVANCED COMPUTING FOR SOCIAL CHANGE
Engage students through socially relevant topics
Curriculum Elements:
17
Discovery Based Learning – active
learning increases mastery of technical
skills
• Active learning increases mastery of
technical skills, improves communication
skills, and enhances critical thinking.
• It provides an opportunity for students to
explore and ask questions of the data, and
promotes curiosity and interaction with the
science, facilitating an iterative
question/answer loop
SC16 ADVANCED COMPUTING FOR SOCIAL CHANGE
CHALLENGE
• Data-driven discussion to confirm/debunk
perceptions/misperceptions on Black
Lives Matter
• Worked in four teams
• Identified their audience
• Identified their argument
• Team presentations using evidence-
based analysis and visualization
• 60% Female Participants, 40% African
American, 58% First Generation College
Students
• External Evaluators did focus groups
• Students Rated Challenge Experience
4.5/5.0
SC17: EXPLORING IMMIGRATION THROUGH BIG DATA
LENS
 Advanced Computing for
Social Change Challenge
(Second Year) at SC17
 Nine students from local
area
 Four mentors brought back
from SC16 challenge
19
Computing4Change
20
 In 2017, SIGHPC
approached us to create an
international version of the
program
 Applications opened up for
SC18
 Huge thanks to John West
and Cherri Pancake for
believing in this program
SC18: Computing4Change
Topic: Violence
21
Sponsored by SIGHPC
 Received ~250 applications from
around the world
 Accepted 16 competitors
 From 5 countries
 10 female, 1 non-binary
 2 with disabilities
 33% Black/African American, 25% Latinx,
19% White , 13% Asian, Native
Hawaiian/Pacific Islander or
Mediterranean descent
 44% from resource constrained institutions
 1 from a Community College
Brought in a Native Hawaiian team from
Chaminade University
Supplemented by NSF XSEDE
SUPPORTING PACIFIC INDIGENOUS COMPUTING
EXCELLENT (SPICE)
22
• 2 Year NSF INCLUDES grant
• Partnership with Chaminade University of
Honolulu and Georgia Tech University
• Summer Immersion Experience to train
undergraduate Native Hawaiian and Pacific
Islanders in data science and analytics using
visualization as “universal language”
• Privileges Indigenous Culture
• 22 students (91% Native Hawaiian/Pacific
islander)
• Month long immersion experience at
Chaminade
ALLIANCE FOR SUPPORTING PACIFIC INDIGENOUS
COMPUTING EXCELLENT (ALL-SPICE)
23
• Submitted YESTERDAY to
NSF!!!
• Backbone: TACC,
Chaminade University of
Honolulu and Georgia Tech
University
• Month Summer Immersion
Experience
• Rotating Sabbatical Program
• Brings in students, faculty and
people from local agencies
IN SUMMARY
24
This is not exclusively a pipeline problem
Attracting students into this field requires that we look
outside our norms
There is far too little money going into successful programs
On the flip side, to grow a successful program requires
investment in evaluation and data collection
Engaging the “why” is crucial before teaching the “how”
THANK YOU FOR YOUR TIME
25
kelly@tacc.utexas.edu
4/3/2019 26

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The Computing4Change Program

  • 1. Computing4Change Developing Our Future Workforce Kelly Gaither Director of Health Analytics, Senior Research Scientist, Texas Advanced Computing Center Associate Professor Women’s Health, Dell Medical School The University of Texas at Austin 4/3/2019 1
  • 2. OUR LOOMING CRISIS 2  By 2040, US projected to be majority/minority country  Census Bureau projects that by 2050, minorities will comprise 53 percent of the population
  • 3. INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE OF OUR INCREASINGLY DIVERSE POPULATION 3  By 2020, the US is projected to have need for an additional 1,400,000 high tech jobs  Computer science programs are projected to graduate 400,000 students with qualifications for these jobs  That leaves a deficit of 1,000,000 unmet jobs
  • 4. INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE OF OUR INCREASINGLY DIVERSE POPULATION 4  By 2020, the US is projected to have need for an additional 1,400,000 high tech jobs  Computer science programs are projected to graduate 400,000 students with qualifications for these jobs  That leaves a deficit of 1,000,000 unmet jobs
  • 5. INCREASINGLY DIGITAL WORLD NOT REPRESENTATIVE OF OUR INCREASINGLY DIVERSE POPULATION 5  By 2020, the US is projected to have need for an additional 1,400,000 high tech jobs  Computer science programs are projected to graduate 400,000 students with qualifications for these jobs  That leaves a deficit of 1,000,000 unmet jobs
  • 6.  McKinsey Global Institute predicts a 2020 global workforce with the requisite college and postgraduate education qualified to fill just 13 percent of projected labor demands worldwide.  Demographics globally:  India and Brazil are rapidly increasing STEM enrollments through targeted enrollment programs.  Europe, however, is projected to have a shortage in the high-tech sector similar to the United States.  This deficit is much more extreme in emerging countries that are depending on 21st century skill sets for economic growth. GLOBAL WORKFORCE ISSUE
  • 7. DEMOGRAPHICS • Women’s representation in STEM occupations has declined since the 1990s • Men are employed in STEM occupations at 2X the rate of women: 31% vs 15% • Nearly 1 in 5 female STEM graduates leave the labor force, less than 1 in 10 male STEM graduates. • In 2011, 6% of STEM workers were Black (up from 2% in 1970). • Hispanics were only 7%of the STEM workforce in 2011. • Native Americans, Pacific islanders and Indigenous Peoples have been historically low in STEM employment, registering consistently in the low single digits.
  • 8. DIVERSITY/INCLUSION → INNOVATION → ECONOMIC COMPETITIVENESS • 95% corporate leaders believe culture of diversity and inclusion contribute to innovation • For every 10% increase in racial and ethnic diversity on senior executive team, earnings increase .8% • Companies in the top quartile for racial and ethnic diversity are 35% more likely to have financial returns above national industry median • 86% female and 74% male millennials consider employers’ policies on diversity, equality and inclusion • Transitioning from a single-gender office to office evenly split estimate 41% revenue gain • A move from no female leaders to 30% representation is associated with a 15% increase in revenue
  • 9. DIVERSITY/INCLUSION → INNOVATION → ECONOMIC COMPETITIVENESS • 15% of the world’s population has some form of disability and represent $200B in discretionary spending • Combined buying power of U.S. LGBT adult population is estimated at $917B • Veterans perform 4% higher than average employees and have 3% less turnover (Company with 1K employees, translates to $7.3M annually) Ignoring inclusion and diversity in tech comes with a $16B price tag Unfair treatment in the workplace is the single largest driver of turnover in tech
  • 10. 10  Millenials/Post-millenials are most diverse sector of our population and represent the largest generation to date.  Grown up in an age of pervasive and often-times ubiquitous technology, violence, and with the introduction of the internet, information overload.  According to a report by The Council of Economic Advisers in 2014, millennials are more connected to technology than any previous generation. They are more likely to be constantly connected to their smart phones and have multiple means of communicating with their peers via social media.  They express a greater value to the role they play in their communities, including a close relationship with their families. They rate quality of life as being very important as well as a strong desire to make a positive social impact on their own children and communities and society at large [2]. WHAT DO WE KNOW ABOUT OUR FUTURE WORKFORCE?
  • 13. ADVANCED COMPUTING FOR SOCIAL CHANGE 13 Advanced Computing for Social Change Black Lives Matter SC16 Challenge Advanced Computing for Social Change Examining Immigration Through a Data Science Lens SC17 Challenge Best Workforce Development Paper PEARC’17 Chosen to be featured in Jan 2018 issue of IEEE’s Computing Edge
  • 14. ADVANCED COMPUTING FOR SOCIAL CHANGE Engage students through socially relevant topics Curriculum Elements: 14 Storytelling – aids memory by putting information into an emotional context • When emotions are present, hormones released to the brain act as a memory fixative. • Story shapes life values and teaches acceptance, and provides students an opportunity to broaden their understanding of heritage and culture, both theirs and others.
  • 15. ADVANCED COMPUTING FOR SOCIAL CHANGE Engage students through socially relevant topics Curriculum Elements: 15 Visualization – we remember 10% of what we hear, 65% of what we see 30%Discover Magazine, June 1993: “The Vision Thing: Mainly in the Brain” 3% 8%
  • 16. ADVANCED COMPUTING FOR SOCIAL CHANGE Engage students through socially relevant topics Curriculum Elements: 16 Team Science – research is becoming increasingly more multidisciplinary • Requires skills in leadership, communication, and an understanding of the bigger picture • Curriculum that actively fosters collaboration has proven successful at increasing productivity, retention, and success of women and underrepresented minority scientists in multiple STEM fields
  • 17. ADVANCED COMPUTING FOR SOCIAL CHANGE Engage students through socially relevant topics Curriculum Elements: 17 Discovery Based Learning – active learning increases mastery of technical skills • Active learning increases mastery of technical skills, improves communication skills, and enhances critical thinking. • It provides an opportunity for students to explore and ask questions of the data, and promotes curiosity and interaction with the science, facilitating an iterative question/answer loop
  • 18. SC16 ADVANCED COMPUTING FOR SOCIAL CHANGE CHALLENGE • Data-driven discussion to confirm/debunk perceptions/misperceptions on Black Lives Matter • Worked in four teams • Identified their audience • Identified their argument • Team presentations using evidence- based analysis and visualization • 60% Female Participants, 40% African American, 58% First Generation College Students • External Evaluators did focus groups • Students Rated Challenge Experience 4.5/5.0
  • 19. SC17: EXPLORING IMMIGRATION THROUGH BIG DATA LENS  Advanced Computing for Social Change Challenge (Second Year) at SC17  Nine students from local area  Four mentors brought back from SC16 challenge 19
  • 20. Computing4Change 20  In 2017, SIGHPC approached us to create an international version of the program  Applications opened up for SC18  Huge thanks to John West and Cherri Pancake for believing in this program
  • 21. SC18: Computing4Change Topic: Violence 21 Sponsored by SIGHPC  Received ~250 applications from around the world  Accepted 16 competitors  From 5 countries  10 female, 1 non-binary  2 with disabilities  33% Black/African American, 25% Latinx, 19% White , 13% Asian, Native Hawaiian/Pacific Islander or Mediterranean descent  44% from resource constrained institutions  1 from a Community College Brought in a Native Hawaiian team from Chaminade University Supplemented by NSF XSEDE
  • 22. SUPPORTING PACIFIC INDIGENOUS COMPUTING EXCELLENT (SPICE) 22 • 2 Year NSF INCLUDES grant • Partnership with Chaminade University of Honolulu and Georgia Tech University • Summer Immersion Experience to train undergraduate Native Hawaiian and Pacific Islanders in data science and analytics using visualization as “universal language” • Privileges Indigenous Culture • 22 students (91% Native Hawaiian/Pacific islander) • Month long immersion experience at Chaminade
  • 23. ALLIANCE FOR SUPPORTING PACIFIC INDIGENOUS COMPUTING EXCELLENT (ALL-SPICE) 23 • Submitted YESTERDAY to NSF!!! • Backbone: TACC, Chaminade University of Honolulu and Georgia Tech University • Month Summer Immersion Experience • Rotating Sabbatical Program • Brings in students, faculty and people from local agencies
  • 24. IN SUMMARY 24 This is not exclusively a pipeline problem Attracting students into this field requires that we look outside our norms There is far too little money going into successful programs On the flip side, to grow a successful program requires investment in evaluation and data collection Engaging the “why” is crucial before teaching the “how”
  • 25. THANK YOU FOR YOUR TIME 25 kelly@tacc.utexas.edu