A company can spend years searching for talent and remarkably little time asking why the talent walked out. Allison Scott has made that second question part of her working life. In technology, the familiar story follows the new hire through the door. Scott’s research follows people back out again, carrying experiences that a recruiting campaign cannot repair.
In 2017, she co-authored the Tech Leavers Study with Freada Kapor Klein and Uriridiakoghene Onovakpuri. Its national survey examined adults who had voluntarily left a technology-related job during the previous three years. Thirty-seven percent named unfairness or mistreatment as a major reason for leaving. The report estimated annual employee replacement costs attributable to unfairness at $16 billion. These were findings from that study, at that moment, rather than a running meter on today’s industry.
The question had consequences beyond hiring. If a workplace loses people because of its culture, sending more people toward that workplace leaves the underlying problem intact. Scott’s career has kept returning to the conditions around an opportunity: the school that offers it, the teacher who makes it meaningful, the employer who sustains it, and the institution that pays for it.
Historical findings • 2017 national study of voluntary tech leavers
A researcher before the corner office
Scott’s preparation began in psychology at Hampton University, followed by a doctorate in education at the University of California, Berkeley. Her earlier roles included data analysis at Education Trust-West and research and evaluation at the Level Playing Field Institute. She later became chief research officer at the Kapor Center. Today, her official role is CEO of the Kapor Foundation, where research sits alongside grantmaking, policy advocacy, and investments intended to close gaps in access and opportunity.
Her own account of her career puts education and equity at the beginning. In her Roadtrip Nation career profile, she describes an interest in how policy and systems shape student opportunity, followed by work with young people through mentoring and programs. The sequence matters. Data and direct work with students were both part of the route to leadership; the executive title came after the questions she wanted to pursue.
That account offers a useful way to read the résumé. Scott moved among organizations where educational opportunity could be studied, supported, and expanded. The continuity is easier to see in the work than in the job titles. A researcher can examine the distance between a program’s intentions and its results. An executive can decide which of those findings deserve money, staff time, partnerships, and another attempt.
The revolving door gets a price tag
Scott was writing about workplace experiences well before the Tech Leavers Study. A 2011 article she co-authored with Kapor Klein examined findings from the Level Playing Field Institute’s report, The Tilted Playing Field. It described differences between women’s experiences at large companies and at startups with a critical mass of women in senior or technical roles. Workplace composition, the article suggested, deserved scrutiny alongside the industry’s overall head count.
The later research gave that scrutiny a broader frame. In her essay about voluntary turnover, Scott described the gap between stories circulating about hostile workplaces and the limited data on their relationship to retention. Working with Harris Poll, the team surveyed more than 2,000 professionals between December 2016 and January 2017. The project brought individual accounts into a study that companies could examine rather than dismiss as isolated complaints.
Her proposed responses were workaday and demanding: leadership from the executive team, repeated employee surveys, attention to demographic differences, and audits of performance and compensation practices. None offers the ceremonial pleasure of announcing a fresh recruitment initiative. They involve asking whether the machinery already inside the company treats people fairly, then doing something with the answers.
She returned to retention in a co-authored essay on the Great Resignation, written with Kapor Klein, Cynthia Overton, and Sonia Koshy. The group urged companies to investigate their own workforce patterns and listen to employees. That thread connects an early research role to later executive work: employee departures can contain information about how an organization actually functions. A resignation letter is also, sometimes, a review.
Before anyone applies for the job
Scott’s inquiry also runs in the other direction, toward the classroom. A 2017 computing education paper she co-authored with Alexis Martin, Frieda McAlear, and Sonia Koshy examined an out-of-school, culturally relevant computer science intervention for underrepresented high school students. Its attention to girls of color made a methodological point: broad categories can conceal differences within them. A program designed around an average student can overlook the students it most wants to reach.
In 2021, Scott introduced the Culturally Responsive-Sustaining CS Education Framework. It addressed classroom culture, student agency, family and community knowledge, relevant and rigorous curricula, and exposure to diverse professionals. Its concern reached beyond whether a school had put a computer science course on the timetable. The experience inside the course mattered, including whose interests and identities were acknowledged.
Consider what that means for the ordinary phrase “access to computer science.” It can describe a course listing, a seat in a classroom, or an education that makes sense to the person receiving it. Those measures need different forms of attention. Scott’s work asks educators to examine the teaching as carefully as the enrollment. A door can be open while the room still makes a student feel like a visitor.
“We see the ecosystem approach as the next phase of our work.”
Allison Scott, on computer science education in Georgia, 2024
By 2024, Scott was a co-author of Justice-Centered Computing Education: A Framework for Action, alongside Shana V. White, Diane Levitt, and Kamau Bobb. It tied computing education to wider educational inequalities and outlined nine pillars, including standards, curriculum, teacher preparation, research, funding, policy, and coalition building. The breadth was deliberate: a teacher cannot resolve every structural obstacle from the front of a classroom.
A network beats a lonely pilot
That approach has a geography. In April 2024, Georgia Tech described work connecting Atlanta’s computer science equity community through Kapor and the Constellations Center. Scott acknowledged progress in teacher preparation and school programs, while pointing to persistent differences in course access. The next phase, she said, would take an ecosystem approach. The word carries a practical implication here: organizations doing related work need ways to act together.
It also helps explain the span of her public service. Her Federation of American Scientists biography records participation in the FCC’s Advisory Committee on Diversity and Digital Empowerment, a National Academies committee on women of color in technology, and the CSforCalifornia coalition. These settings connect education research with institutions that shape the conditions around it. The classroom remains in view even when the meeting takes place elsewhere.
The Foundation’s Native Tech Ecosystem work offers another example of the specificity this approach requires. Its partnership with AISES supports tribe-specific computer science curricula developed with participating communities, incorporating cultural traditions, language, stories, and art. The details resist the convenience of treating all underrepresented students as interchangeable. The community contributes to the design of the education intended to serve it.
A map of connected responsibilities, rather than a measured sequence.
Put the mission in the money meeting
In November 2022, the Foundation’s Equitable Technology Policy Initiative marked a more explicit turn toward policy. Scott described the shift from calling attention to the lack of diversity toward examining rules that might change it. The Foundation had already made $5 million in grants in the area. The step widened the set of institutions expected to act on the evidence.
Another lever sits inside the Foundation itself. In a January 2026 essay by Mitch Kapor and Freada Kapor Klein, the founders described Scott’s place on the endowment investment committee. She helps decide whether endowment money should be invested alongside their family office, assessing alignment with the Foundation’s mission. She also participates in due diligence on prospective investments. The same concerns that guide grants therefore enter decisions about invested assets.
It is a revealing detail about her job. The investment committee is a place where intentions encounter choices: which organizations receive capital, what their work promises, and how that work serves communities facing gaps in opportunity. Scott’s responsibilities extend into those choices. For an executive whose background is in research and education, the endowment becomes another instrument that needs to answer to the purpose of the institution.
AI enters an unfinished classroom
The arrival of generative AI adds urgency to questions Scott was already asking. In an August 2025 Edtech Insiders conversation with Katy Knight, she questioned what it means to count a high school as offering computer science when the provision may amount to one course reaching a small group. She also defended the broader substance of computing education: understanding algorithms, breaking down problems, and thinking critically remain valuable when software can generate code.
Her work with White on Responsible AI and Tech Justice: A Guide for K-12 Education gives that position an educational form. The guide encourages students and educators to examine ethics, bias, accountability, and the effects of AI on communities. It asks who creates these systems and how their use can be challenged or improved. Learning to operate a tool is one part of the education; learning to question its decisions gives students another kind of competence.
In October 2025, the Foundation joined Humanity AI, a coalition announcing a $500 million commitment over five years. The total belongs to the coalition, rather than to Scott or the Kapor Foundation alone. The initiative connects education, labor, culture, democracy, and security. Scott’s public statement emphasized deliberate investment in communities that have long been excluded from technology’s economic benefits.
In September 2026, the Foundation published an updated edition of the responsible AI guide. It added six competencies and sample questions organized by grade level, aligned with new K-12 computer science standards. The revision makes the educational ambition more concrete: students need opportunities to develop judgment about data, algorithms, design, and power. A guide meant to help interrogate changing technology has to keep changing too.
Across these projects, the aspiration is consistent: more people should have a say in technology, share in its opportunities, and be able to examine its consequences. Scott’s career follows the practical work required to make that possible. It starts before the job application, continues after the hiring announcement, and reaches the meetings where money and policy are decided. There are quite a few doors to keep open.