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![VCs invest in…
“If you look at [Jeff] Bezos… [Netscape founder Marc] Andreessen…
they all seem to be white, male, nerds who’ve dropped out of
Harvard or Stanford and they absolutely have no social life. So
when I see that pattern coming in…it was very easy to decide to
invest.”
John Doerr](https://image.slidesharecdn.com/betonwomen-181030061554/75/Bet-On-Women-Tech-s-future-shines-brightest-in-the-hands-of-women-49-2048.jpg)
Uploaded byHeather O'Neill
Bet On Women: Tech's future shines brightest in the hands of women
The document discusses the importance of female leadership and innovation in technology, highlighting the historical contributions of women in the field. It emphasizes that women-run startups tend to outperform their male counterparts financially and suggests strategies for women to navigate challenges in the workplace. Ultimately, it advocates for a future focused on equity, diversity, and well-being within the tech industry.
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Bet On Women: Tech's future shines brightest in the hands of women
- 1. Heather O’Neill @pixelsforhumans Bet onWomen Tech's future shines brightest in the hands of women
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- 10. Let me tellyou a story…
- 11. User experience designfor web and mobile apps
- 12. My Timeline 2014 •March - Bought ATF
- 13. My Timeline 2014 •March - Bought ATF • April - Won $200,000 project
- 14. My Timeline 2014 •March - Bought ATF • April - Won $200,000 project • May - Gave amazing talk at UXPA Boston
- 15. My Timeline 2014 •March - Bought ATF • April - Won $200,000 project • May - Gave amazing talk at UXPA Boston • June - Canceled $200k project
- 16. My Timeline 2014 •March - Bought ATF • April - Won $200,000 project • May - Gave amazing talk at UXPA Boston • June - Canceled $200k project • July 1st - ATF closes down
- 17. E S TAB L I S H E D JULY 9, 2014
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- 20. Women-run startups make $60,000more per year
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- 23. Women in tech •1843. Ada Lovelace
- 24. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann
- 25. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar
- 26. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton
- 27. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton • Jean Jennings Bartik
- 28. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton • Jean Jennings Bartik • Katherine “Kay” McNulty
- 29. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton • Jean Jennings Bartik • Katherine “Kay” McNulty • Marlyn Wescoff Meltzer
- 30. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton • Jean Jennings Bartik • Katherine “Kay” McNulty • Marlyn Wescoff Meltzer • Ruth Lichterman Teitelbaum
- 31. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • Frances “Betty” Snyder Holberton • Jean Jennings Bartik • Katherine “Kay” McNulty • Marlyn Wescoff Meltzer • Ruth Lichterman Teitelbaum • Frances Bilas Spence
- 32. ENIAC 6 inaction.
- 33. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • 1952. Grace Hopper
- 34. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • 1952. Grace Hopper • 1960. Marjorie Lee Browne
- 35. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • 1952. Grace Hopper • 1960. Marjorie Lee Browne • 1961. Katherine Johnson
- 36. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • 1952. Grace Hopper • 1960. Marjorie Lee Browne • 1961. Katherine Johnson • 1962. Evelyn Boyd Granville
- 37. Women in tech •1843. Ada Lovelace • 1926. Grete Hermann • 1942. Hedy Lamar • 1945. ENIAC 6 • 1952. Grace Hopper • 1960. Marjorie Lee Browne • 1961. Katherine Johnson • 1962. Evelyn Boyd Granville • 1969. Margaret Hamilton
- 38. 1972 1975 19791980 1983 1984 1988 1989 1992 1993 1995 1999 2008 2011 2012 2014 2015 Susan Kane Carol Shaw Karen Spärck Jones Elizabeth ‘Jake’ Feinler Adele Goldberg Radia Perlman Janese Swanson Annie Easley Donna Dubinsky Ellen Ochoa Mary Lou Jepsen Kim Bryant Reshma Saujami Angelica Ross Megan Smith Marissa Mayer Sheryl Sanberg Women in tech
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- 47. VCs invest in… “Ican be fooled by anyone who looks like Mark Zuckerberg.” Paul Graham
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- 49. VCs invest in… “Ifyou look at [Jeff] Bezos… [Netscape founder Marc] Andreessen… they all seem to be white, male, nerds who’ve dropped out of Harvard or Stanford and they absolutely have no social life. So when I see that pattern coming in…it was very easy to decide to invest.” John Doerr
- 50. Result: diverse firmsdramatically outperform homogenous firms Diverse teams’ performance.
- 51. Gender and ethnicdiversity are correlated with profitability & value creation. Financial performance above national median Executive gender diversity Executive ethnic diversity
- 52. Diverse teams makemore $$$$ @pixelsforhumans
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- 56. 9 Non-threatening LeadershipStrategies for Women
- 57. 9 Non-threatening LeadershipStrategies for Women No.
- 58. My goal today You’rebetter equipped to manage tough situations without burning out or compromising yourself. You have the tools to keep shifting society toward a more equitable future state.
- 59. Tech’s future isin the hands of women
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- 63. Let it be awkward TheCooper Review: https://thecooperreview.com/business-jargon-to-mumble-when-your-boss-makes-a-sexist-comment/
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- 66. Roleplay… In a meetingwith your supervisor, a male colleague talks about a project you led, in a way that doesn’t give you credit and implies that he was responsible for some of your good decisions and results. You have an opportunity after the meeting to walk back to your desks and talk with him 1-on-1. What do you do?
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- 68. Team You - Parents -Friends - Significant Other(s) - Kids - Extracurricular buddies - CoWorkers - Mentors - Bosses - Industry Peers - Heros
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- 72. Use Data to BackYou Up
- 73. Own & Fix YourBiases
- 74. Empathy Map Canvas Designedfor: Designed by: Date: Version: WHO are we empathizing with? What do they need to DO? What do they need to do differently? What job(s) do they want or need to get done? What decision(s) do they need to make? How will we know they were successful? Who is the person we want to understand? What is the situation they are in? What is their role in the situation? GOAL What do they SEE? What do they SAY? What do they DO? What do they HEAR? What do they THINK and FEEL? What do they see in the marketplace? What do they see in their immediate environment? What do they see others saying and doing? What are they watching and reading? What have we heard them say? What can we imagine them saying? What do they do today? What behavior have we observed? What can we imagine them doing? What are they hearing others say? What are they hearing from friends? What are they hearing from colleagues? What are they hearing second-hand? © 2017 Dave Gray, xplane.comLast updated on 16 July 2017. Download a copy of this canvas at http://gamestorming.com/empathy-map/ 1 2 3 4 5 6 7 PAINS GAINS What are their fears, frustrations, and anxieties? What are their wants, needs, hopes and dreams? What other thoughts and feelings might motivate their behavior?
- 75. Empathy Map: intersectionality -Gender (non-binary, trans, gender fluid) - Race/ethnicity - Sexual orientation - Physical ability/needs - Mental health issues - Body positivity - Other intersections
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- 83. How will youtake better care of yourself and your mental health?
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- 86. @pixelsforhumans Tech companies prioritizepeople and communities over profits.
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