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Collaboration in
Science and Technology
Mercè Crosas, Director of Data Science, IQSS
Harvard University
Harvard IT Summit, June 4, 2015
@mercecrosas
This Talk
1. Increase in collaboration
2. What makes teams and collaborations work better
3. How collaboration relates to women
4. Why it is important for world’s global progress
Increase in
Collaboration
More and Larger Teams
than ever Before
Study used 19.9M papers and 2.1M patents over 50 years
Source: Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science
Teams = More highly cited work
Source: Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science
Collective Intelligence
Source: Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance
of Human Groups. Science
● Collective Intelligence
(group ability) MORE
PREDICTIVE of group
performance than
individuals IQ
● Collective intelligence
=/= average member IQ
● Higher collective intelligence
=/= groups with high IQ
members
PredictivePerformance
What Makes Teams
and Collaborations
Work Better
Source: Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance
of Human Groups. Science
What Optimizes
Collective Intelligence
Study shows that teams perform better with:
● Shared Discourse: Members contribute more
equally to team, rather than a few members
dominate
● Social Cognition: Members have the ability to
read and respond to social cues
● More women in the team
Source: Engel, Wooley, Jing, Chabris, Malone, 2014. Reading the Mind in the Eyes or Reading between the Lines? Theory of
Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLOS One
Follow up study shows:
● Collective intelligence
results are similar for face-
to-face and online teams.
Social Connection
“We all work as a family because she treats us as such.”
“She knows everyone in the office and has a personal
relationship with each one of us.”
“She does not get upset when we make mistakes but gives
us the time to learn how to analyze and fix the situation.”
“less emotionally connected” = “less likely to be productive”
(About Archana Patchirajan, founder of technology startups)
Source: Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable
What Lies at the Root of
Social Connection
authenticity and vulnerability = replacing “professional
distance and cool” with awareness of uncertainty, risk, and
emotional exposure
Source: René Brown study with thousands of interviews
Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable
Common Knowledge
Source: Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of
Personality and Social Psychology
Let’s say that A and B need to coordinate about plan
X to work together (For example, releasing a
software version)
Is it more likely they will together with:
1. Private knowledge: A doesn’t know if B knows plan X
2. Shared knowledge: A knows that B knows plan X
3. Common knowledge: A and B hear publicly about plan X
Private Shared Common
It also shows that:
● Being more agreeable or open makes no difference to working
together with private or common knowledge (but yes with shared)
● Common knowledge is a distinct cognitive category
#ofparticipantswhowant
toworktogether
Source: Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of
Personality and Social Psychology
Study finds that:
● A and B are more likely to
work together with
common knowledge
Users
Technical
Team
Community
● Collaborative engagement creates community
● Collecting and analyzing data helps knowing how to grow it
Source: Millington, 2012, Buzzing Communities; acknowledgement: Matthew Turk, open source
Creating Community
How Collaboration
Relates to Women
Sex Differences
◉ Facial, gesture
expression recognition
◉ Emotionally expressive
◉ Egalitarian
◉ Extraversion
◉ Parallel processing
◉ Visuospatial, pattern
recognition
◉ Emotional regulation
◉ Dominance hierarchy
◉ Competition
◉ Serial processing
Notwithstanding, in the words of Susan Sontag, “What is most beautiful in virile
men is something feminine; what is most beautiful in feminine women is
something masculine”
Source: Helen Fisher, 1999. THE FIRST SEX: The Natural Talents of Women and How They are Changing the World
◉ Facial, gesture expression
recognition
◉ Emotionally expressive
◉ Egalitarian
◉ Extraversion
◉ Multi-tasking, parallel
processing
Collaboration
◉ Shared discourse
◉ Social cognition
◉ Social connection
◉ Common knowledge
◉ Creating community
Well Suited to Collaborate
Why it is Important
for World’s Global
Progress
Until now there have been
individual stereotypes...
...but there is a new reality: Teams
© UNHCR/S.Baldwin
Lego Series 7 Computer Programmer
Lego Series Women Scientist
Women in Technology
Women in Technology
Now (2013):
● women are 26% of
computing force
● 57% women of
total graduates
● < 20% women in
computer science
By 2020:
● 1.4M computer
science jobs
available
Women in Technology
Women in Academic Science
Most extensive study to-date shows:
● Academic science is a rewarding
career for many, women and
men alike
Source: Ceci, Ginther, Khan, WIlliams, 2015 Women in Academic
Science: A Changing Landscape, APS
A Changing Landscape to
Improve Science and
Technology
Teams achieve
highest impact
Being
collaborative
is essential
Collaborative
environments
are well suited
to female mind
Teams with
women perform
better
The future of technology includes teams with a mix of
skills, combining scientific and technological talents.
A New Stereotype
Harvard Women in Computer Science (WICS) addresses:
The “yearning for a sense of community”
From Amna Hashmi ’16, a computer science concentrator and one of the co-chairs of this year’s WECode,
and Harvard Women in Computer Science (WICS)
“Money is the most egalitarian force in society. It confers
power on whoever holds it.” (Roger Starr, NYT, CBS commentator)
“The full realization of women’s equality would have the
biggest impact on economic, political and social progress.”
(Melanne Verveer, director of the Georgetown institute for Women, Peace & Security and former U.S.
ambassador-at-large for global women’s issues)
Impact to Global Progress
Source: http://www.politico.com/magazine/story/2015/01/15-big-breakthroughs-in-2015-114486.html#.VSNN6BPF_7c
Bringing it Back Home:
Open Source and
Open Governance
Research
Community
Harvard
IQSS
Open Source
CommunityIQSS
Data
Science
Team
● Shared Discourse
● Social Cognition
● Social Connection
● Common Knowledge
● Creating Community
REFERENCES
Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science
Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance of Human
Groups. Science
Engel, Wooley, Jing, Chabris, Malone, 2014. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind
Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLOS One
Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of Personality and
Social Psychology
Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable
Helen Fisher, 1999. THE FIRST SEX: The Natural Talents of Women and How They are Changing the World
http://news.harvard.edu/gazette/story/2015/03/a-quantum-leap-for-women
http://www.politico.com/magazine/story/2015/01/15-big-breakthroughs-in-2015-114486.html#.VSNN6BPF_7c
Deborah Tannen, 1990. You Just Don’t Understand: Women and Men in Conversation
Judy Rosener, 1995. America’s Competitive Secret: Utilizing WOmen as a Management Strategy
Sally Helgesen, 1995. The Female Advantage: Women’s Ways of Leadership
http://www.nytimes.com/2014/11/02/opinion/sunday/academic-science-isnt-sexist.html?_r=1
http://www.nytimes.com/2015/01/18/opinion/sunday/why-some-teams-are-smarter-than-others.html
Ceci, Ginther, Khan, WIlliams, 2015 Women in Academic Science: A Changing Landscape, APS
http://video.mit.edu/watch/social-cognition-and-collective-intelligence-7792
THANKS

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Collaboration in science and technology it summit

  • 1. Collaboration in Science and Technology Mercè Crosas, Director of Data Science, IQSS Harvard University Harvard IT Summit, June 4, 2015 @mercecrosas
  • 2. This Talk 1. Increase in collaboration 2. What makes teams and collaborations work better 3. How collaboration relates to women 4. Why it is important for world’s global progress
  • 4. More and Larger Teams than ever Before Study used 19.9M papers and 2.1M patents over 50 years Source: Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science
  • 5. Teams = More highly cited work Source: Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science
  • 6. Collective Intelligence Source: Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance of Human Groups. Science ● Collective Intelligence (group ability) MORE PREDICTIVE of group performance than individuals IQ ● Collective intelligence =/= average member IQ ● Higher collective intelligence =/= groups with high IQ members PredictivePerformance
  • 7. What Makes Teams and Collaborations Work Better
  • 8. Source: Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance of Human Groups. Science What Optimizes Collective Intelligence Study shows that teams perform better with: ● Shared Discourse: Members contribute more equally to team, rather than a few members dominate ● Social Cognition: Members have the ability to read and respond to social cues ● More women in the team
  • 9. Source: Engel, Wooley, Jing, Chabris, Malone, 2014. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLOS One Follow up study shows: ● Collective intelligence results are similar for face- to-face and online teams.
  • 10. Social Connection “We all work as a family because she treats us as such.” “She knows everyone in the office and has a personal relationship with each one of us.” “She does not get upset when we make mistakes but gives us the time to learn how to analyze and fix the situation.” “less emotionally connected” = “less likely to be productive” (About Archana Patchirajan, founder of technology startups) Source: Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable
  • 11. What Lies at the Root of Social Connection authenticity and vulnerability = replacing “professional distance and cool” with awareness of uncertainty, risk, and emotional exposure Source: René Brown study with thousands of interviews Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable
  • 12. Common Knowledge Source: Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of Personality and Social Psychology Let’s say that A and B need to coordinate about plan X to work together (For example, releasing a software version) Is it more likely they will together with: 1. Private knowledge: A doesn’t know if B knows plan X 2. Shared knowledge: A knows that B knows plan X 3. Common knowledge: A and B hear publicly about plan X
  • 13. Private Shared Common It also shows that: ● Being more agreeable or open makes no difference to working together with private or common knowledge (but yes with shared) ● Common knowledge is a distinct cognitive category #ofparticipantswhowant toworktogether Source: Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of Personality and Social Psychology Study finds that: ● A and B are more likely to work together with common knowledge
  • 14. Users Technical Team Community ● Collaborative engagement creates community ● Collecting and analyzing data helps knowing how to grow it Source: Millington, 2012, Buzzing Communities; acknowledgement: Matthew Turk, open source Creating Community
  • 16. Sex Differences ◉ Facial, gesture expression recognition ◉ Emotionally expressive ◉ Egalitarian ◉ Extraversion ◉ Parallel processing ◉ Visuospatial, pattern recognition ◉ Emotional regulation ◉ Dominance hierarchy ◉ Competition ◉ Serial processing Notwithstanding, in the words of Susan Sontag, “What is most beautiful in virile men is something feminine; what is most beautiful in feminine women is something masculine” Source: Helen Fisher, 1999. THE FIRST SEX: The Natural Talents of Women and How They are Changing the World
  • 17. ◉ Facial, gesture expression recognition ◉ Emotionally expressive ◉ Egalitarian ◉ Extraversion ◉ Multi-tasking, parallel processing Collaboration ◉ Shared discourse ◉ Social cognition ◉ Social connection ◉ Common knowledge ◉ Creating community Well Suited to Collaborate
  • 18. Why it is Important for World’s Global Progress
  • 19. Until now there have been individual stereotypes... ...but there is a new reality: Teams © UNHCR/S.Baldwin Lego Series 7 Computer Programmer Lego Series Women Scientist
  • 20. Women in Technology Women in Technology Now (2013): ● women are 26% of computing force ● 57% women of total graduates ● < 20% women in computer science By 2020: ● 1.4M computer science jobs available
  • 21. Women in Technology Women in Academic Science Most extensive study to-date shows: ● Academic science is a rewarding career for many, women and men alike Source: Ceci, Ginther, Khan, WIlliams, 2015 Women in Academic Science: A Changing Landscape, APS
  • 22. A Changing Landscape to Improve Science and Technology Teams achieve highest impact Being collaborative is essential Collaborative environments are well suited to female mind Teams with women perform better The future of technology includes teams with a mix of skills, combining scientific and technological talents.
  • 23. A New Stereotype Harvard Women in Computer Science (WICS) addresses: The “yearning for a sense of community” From Amna Hashmi ’16, a computer science concentrator and one of the co-chairs of this year’s WECode, and Harvard Women in Computer Science (WICS)
  • 24. “Money is the most egalitarian force in society. It confers power on whoever holds it.” (Roger Starr, NYT, CBS commentator) “The full realization of women’s equality would have the biggest impact on economic, political and social progress.” (Melanne Verveer, director of the Georgetown institute for Women, Peace & Security and former U.S. ambassador-at-large for global women’s issues) Impact to Global Progress Source: http://www.politico.com/magazine/story/2015/01/15-big-breakthroughs-in-2015-114486.html#.VSNN6BPF_7c
  • 25. Bringing it Back Home: Open Source and Open Governance Research Community Harvard IQSS Open Source CommunityIQSS Data Science Team ● Shared Discourse ● Social Cognition ● Social Connection ● Common Knowledge ● Creating Community
  • 26. REFERENCES Wuchty, Jones & Uzzi, 2007. The Increasing Dominance of Teams in Production of Knowledge, Science Wooley, Chabris, Pentland, Hashmi, Malone, 2010. Evidence for Collective Intelligence Factor in the Performance of Human Groups. Science Engel, Wooley, Jing, Chabris, Malone, 2014. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLOS One Thomas, deScioli, Haque, Pinker, 2015. The Psychology of Coordination and Common Knowledge. Journal of Personality and Social Psychology Harvard Business Review, Dec 2014: https://hbr.org/2014/12/what-bosses-gain-by-being-vulnerable Helen Fisher, 1999. THE FIRST SEX: The Natural Talents of Women and How They are Changing the World http://news.harvard.edu/gazette/story/2015/03/a-quantum-leap-for-women http://www.politico.com/magazine/story/2015/01/15-big-breakthroughs-in-2015-114486.html#.VSNN6BPF_7c Deborah Tannen, 1990. You Just Don’t Understand: Women and Men in Conversation Judy Rosener, 1995. America’s Competitive Secret: Utilizing WOmen as a Management Strategy Sally Helgesen, 1995. The Female Advantage: Women’s Ways of Leadership http://www.nytimes.com/2014/11/02/opinion/sunday/academic-science-isnt-sexist.html?_r=1 http://www.nytimes.com/2015/01/18/opinion/sunday/why-some-teams-are-smarter-than-others.html Ceci, Ginther, Khan, WIlliams, 2015 Women in Academic Science: A Changing Landscape, APS http://video.mit.edu/watch/social-cognition-and-collective-intelligence-7792 THANKS