Bailey Flanigan: From Wisconsin Farmland to MIT’s Cutting Edge in Democratic Innovation
Bailey Flanigan’s intellectual journey began not in a sterile laboratory or a hushed academic hall, but amidst the expansive farmlands of Wisconsin. As a child, her spirit was as untamed as the rural landscape, fueled by a boundless and discerning curiosity that saw her constructing elaborate booby traps, undertaking experimental building projects, and diving deep into the intricacies of medicine. This early fascination with understanding how things worked, and how they could be improved, extended to a keen interest in creative writing and music, and even to the nascent planning of nonprofit organizations aimed at rectifying social inequalities. These formative experiences, characterized by an insatiable drive to explore and understand, laid the groundwork for a career that would ultimately bridge the worlds of computer science, political science, and democratic theory.
By the time Flanigan entered high school, her academic pursuits had begun to coalesce around specific areas of intense interest. She describes a deliberate disengagement from the pursuit of Advanced Placement (AP) classes solely for the sake of credentials. Instead, her energy was captivated by subjects that offered creative outlets and the application of knowledge to tangible problems. "I found myself unmotivated to take all the AP classes for the sake of it," Flanigan recalls. "My interest was captured by classes where I could be creative—where I could use math to solve real-world problems, creatively write, make music, connect distant ideas, or deeply explore the humanities—and I worked on such classes obsessively, as an opportunity to explore my intuitions and interests. Instead of joining clubs, I ended up spending a lot of time thinking and creating on my own, and trying to understand what I enjoyed." This period of self-directed exploration, rather than conforming to conventional extracurricular pathways, fostered a unique ability to synthesize disparate concepts and to pursue knowledge driven by intrinsic motivation.
A Trajectory of Interdisciplinary Pursuit
Today, Bailey Flanigan stands as a prominent figure at the Massachusetts Institute of Technology (MIT), holding a distinguished shared faculty position across the MIT Schwarzman College of Computing and the departments of Political Science and Electrical Engineering and Computer Science (EECS). Her academic and research affiliations extend beyond MIT, encompassing significant contributions at institutions such as the University of Wisconsin, the National Institutes of Health, Google, and leading universities including Carnegie Mellon, Drexel, Harvard, Princeton, and Stanford. Her current research is at the vanguard of employing computational and mathematical tools to forge novel pathways for meaningful democratic participation. This multifaceted career, spanning fields as diverse as medicine, bioengineering, public health, economics, and computer science, began with a deliberate and often unconventional pursuit of pressing and inspiring problems.
Flanigan’s academic path was not a linear progression but rather a series of ambitious leaps across disciplines, driven by a desire to address what she perceived as the most critical challenges. "My trajectory across disciplines was just a result of me chasing down the problems I felt were most pressing or inspiring at the time," she explains. "Along the way, I wound up in a lot of situations where I was less well-trained or qualified in the standard ways. While this was sometimes precarious, it was also incredibly fun, and it cultivated my ability to learn the languages of new disciplines more easily—a skill pretty much essential to my current research and job." This willingness to embrace intellectual challenges and to learn new disciplinary languages has proven to be a cornerstone of her innovative work.
From Cancer Research to Public Health Imperatives
During her undergraduate studies at the University of Wisconsin at Madison, Flanigan engaged in rigorous research in both laboratory and computational settings. She worked in a wet lab focusing on therapeutic targets in cancer and concurrently pursued computational research on tumor genetics. While she found the scientific inquiry intellectually stimulating, a growing concern about the equitable distribution of its potential benefits began to surface. "At the time, I started to worry that the science I was developing might only, in the best case, be used by a small, relatively wealthy fraction of the world, when there were people suffering from much more-preventable diseases in much larger numbers," Flanigan states. This ethical consideration prompted a significant pivot in her research focus.
Her subsequent move toward public health led her to investigate microfluidic devices designed for HIV detection, with a specific emphasis on their applicability in low-resource settings. However, even this felt like addressing symptoms rather than root causes. The underlying systemic issues that contributed to limited resources in these regions continued to trouble her, leading her to explore the field of economics. This exploration was further informed by the guidance of influential mentors who challenged her self-perceptions and expanded her career horizons.
Mentorship and Shifting Perceptions
Key figures in Flanigan’s academic journey played pivotal roles in shaping her aspirations and capabilities. Steven Wright, a professor of law and creative writing at UW-Madison, served as an informal mentor throughout her undergraduate years. Their collaboration on a case at the Wisconsin Innocence Project provided Flanigan with invaluable insights into the intersection of law, social justice, and empirical analysis. "He guided me through my evolving interests in science, social inequality, and economics," she recalls. "He was one of the people most responsible for convincing me that I could aim higher in my career, and that I could actually go to places like MIT or Harvard."
Simultaneously, Debbie Berger and Julie Stubbs, co-heads of the UW-Madison scholarship office, persistently encouraged Flanigan to apply for the prestigious Goldwater Scholarship. Initially, Flanigan dismissed their emails, viewing them as unsolicited or irrelevant. "I kept deleting their emails, thinking they were spam—I didn’t think I was the kind of person that would apply for something like that," she admits. Their unwavering persistence, however, ultimately persuaded her to apply. This experience marked a significant turning point, broadening her self-perception of what was achievable. "Their persistence convinced me to apply, and in the process, the horizons I perceived for myself started to change."
Following her graduation from UW-Madison, Flanigan’s academic trajectory continued with a predoctoral research assistantship in economics at Princeton University. Here, she encountered Professor Evita Nestoridi, then an associate professor at Stony Brook University. Nestoridi provided a crucial moment of academic validation by allowing Flanigan to audit her real analysis class. This experience proved transformative. "Evita’s class was my first real exposure to formal mathematics and proofs, and I loved it so much that it completely changed my career trajectory," Flanigan states. "Despite my initial doubts, she convinced me that I could do math at the graduate level; because of her encouragement, I applied to computer science PhD programs the subsequent fall." This pivotal exposure to rigorous mathematical frameworks ignited a passion that would profoundly influence her future research.
Doctoral Research: Bridging Social Choice and Computer Science
Flanigan pursued her doctoral studies at Carnegie Mellon University, a decision that allowed her to delve into research on social choice theory and democratic decision-making. This specialization resonated deeply with her dual passions for technical inquiry and the fundamental question of resource allocation—a concept famously articulated by Nobel Prize-winning economist Al Roth as "who gets what and why." Her doctoral work aimed to address critical challenges in collective decision-making, particularly in contexts where direct public input is sought.
One significant area of her research involves the development of algorithms for randomly selecting participants for citizens’ assemblies. These assemblies are increasingly recognized as a valuable mechanism for democratic deliberation, especially in complex policy areas. However, a common challenge arises when willing participants self-select into these assemblies, leading to samples that may not accurately represent the broader population. For instance, Flanigan points to a hypothetical assembly on artificial intelligence where self-selected participants might disproportionately represent younger, more educated individuals with a background in technology. This underrepresentation of other stakeholder groups, despite their vested interest in the issue, can undermine the perceived legitimacy and effectiveness of the assembly’s outcomes.
Flanigan’s algorithms are designed to mitigate these biases by balancing representational goals with crucial procedural features. These include ensuring equality in individuals’ chances to participate, building resistance to manipulation of the selection process, and promoting transparency. Such elements are vital for fostering public trust in the decision-making bodies and their subsequent conclusions.
Panelot.org: Democratizing Access to Participatory Tools
The practical application of Flanigan’s research is evident in the widely used open-access website, panelot.org. This platform hosts a suite of algorithms that facilitate the random selection of citizen assembly participants. The website is designed to be accessible to practitioners, guiding them through complex technical trade-offs involved in designing representative selection processes. "The site basically walks practitioners through a series of otherwise very technical trade-offs, making those trade-offs legible and then optimizing according to the priorities practitioners dictate," Flanigan explains. This initiative democratizes access to sophisticated tools, empowering organizations and policymakers to implement more equitable and legitimate participatory processes.
The Imperative for Legitimate Political Processes
Flanigan’s overarching motivation stems from a deep-seated belief in the necessity of improving public engagement in political decision-making. She argues that for any political solution to be sustainable and broadly accepted, the public must perceive the process by which it was arrived at as legitimate. "I am motivated to improve how the public makes political decisions, because if any political solution is going to be viable, the public needs to feel that it was arrived at via a legitimate political process—at least under the forms of government I find most appealing," she states. This perspective underscores the fundamental link between procedural fairness and democratic legitimacy.
Beyond her work on citizens’ assemblies, Flanigan’s research continues to explore novel avenues for systematically incorporating public input into complex decision-making frameworks. She is also investigating how the phrasing of questions in preference elicitation contexts can subtly influence the substance of collective conclusions, a critical consideration for ensuring that public opinion is accurately gauged and acted upon.
An Ideal Environment for Curiosity-Driven Innovation
The intellectual milieu at MIT has proven to be an exceptionally fertile ground for Flanigan’s interdisciplinary and curiosity-driven approach to research. The institution’s commitment to fostering collaboration across diverse fields aligns perfectly with her own research philosophy. "I feel so lucky to be studying these questions from within both political science and EECS, because I have the freedom to explore both the political and technical substance of tools for more direct governance as deeply as I want," she says. This freedom to traverse disciplinary boundaries allows her to pursue complex problems with the rigor and innovation they demand.
Reflecting on her experience at MIT, Flanigan notes a profound sense of belonging. "From the beginning, I got this sense of belonging at MIT—like my ways of thinking and problem-solving, which had seemed peculiar in many situations, actually made me belong more," she shares. "This was a super refreshing feeling, and it has been 100 percent borne out since I arrived." This environment of intellectual acceptance and encouragement has undoubtedly fueled her groundbreaking contributions to the fields of computational social science and democratic innovation, solidifying her position as a leading voice in the quest for more inclusive and effective governance.
