Artificial Intelligence in Tech

The Curious Mind of Bailey Flanigan: From Wisconsin Farmland to MIT’s Frontier of Democratic Innovation

Bailey Flanigan’s intellectual journey, a testament to a childhood fueled by boundless curiosity, has led her from the rolling farmlands of Wisconsin to the hallowed halls of the Massachusetts Institute of Technology (MIT), where she now stands at the vanguard of computational approaches to democratic participation. Her early years were marked by a spirited, and at times unruly, engagement with the world. This innate drive manifested in a diverse array of pursuits: from engineering rudimentary booby traps and undertaking experimental construction projects, to delving into the complexities of medicine, crafting intricate fiction and music, and envisioning nonprofit organizations aimed at dismantling social inequality. This foundational period, characterized by a desire to understand and shape her environment, laid the groundwork for a multidisciplinary career that now bridges computer science, political science, and public policy.

A Foundation Built on Selective, Deep-Seeded Inquiry

By the time Flanigan reached high school, her innate curiosity had coalesced into a more focused, yet still remarkably broad, intellectual appetite. She eschewed the perfunctory pursuit of Advanced Placement (AP) classes for their own sake, instead gravitating towards subjects that ignited her creative spirit and offered avenues for practical application. "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," Flanigan recounts, describing her approach as an "obsessive" exploration of her intuitions and interests. This period saw her prioritizing introspection and independent creation over conventional extracurricular activities. "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," she explains. This self-directed learning, this unwavering commitment to understanding her own intellectual compass, became a defining characteristic of her academic and professional trajectory.

A Trajectory Across Disciplines: From Medicine to Democracy

Flanigan’s academic and professional path is a vivid illustration of her willingness to traverse vast disciplinary landscapes in pursuit of impactful solutions. Her current role as a shared faculty member across MIT’s Schwarzman College of Computing, and its departments of Political Science and Electrical Engineering and Computer Science (EECS), alongside her position as a principal investigator at the MIT Laboratory for Information and Decision Systems, underscores this breadth. Her research has been shaped by experiences at esteemed institutions including the University of Wisconsin, the National Institutes of Health, Google, and a roster of prestigious universities such as Carnegie Mellon, Drexel, Harvard, Princeton, and Stanford.

Her early academic endeavors at the University of Wisconsin-Madison saw her immersed in both laboratory research on therapeutic targets in cancer and computational work on tumor genetics. While intellectually stimulating, this work eventually prompted a deeper contemplation of its potential real-world impact. "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 reflects. This realization served as a crucial turning point, prompting a pivot towards public health.

Shifting Focus: Public Health and the Roots of Inequality

In the realm of public health, Flanigan directed her energies towards developing microfluidic devices for HIV detection, specifically tailored for deployment in low-resource settings. This work, while addressing a critical global health challenge, did not fully assuage her underlying concern about the systemic factors contributing to these resource disparities. This persistent inquiry led her to explore the field of economics, seeking to understand the foundational economic drivers of inequality and limited access to essential resources. This iterative process of questioning, exploring, and adapting is a hallmark of her approach, demonstrating a commitment to not just understanding problems, but also to investigating their root causes.

Mentorship and the Expansion of Horizons

Crucial to Flanigan’s intellectual development and self-perception were the mentors who recognized and nurtured her potential, often pushing her beyond perceived limitations. 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 guidance as her interests evolved across science, social inequality, and economics. "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," she states, highlighting the profound impact of his belief in her capabilities.

Similarly, the persistent encouragement from Debbie Berger and Julie Stubbs, the co-heads of the UW-Madison scholarship office, played a pivotal role. Repeated emails urging Flanigan to apply for a Goldwater Scholarship, initially dismissed as "spam," eventually compelled her to reconsider her self-imposed boundaries. "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. Their persistence convinced me to apply, and in the process, the horizons I perceived for myself started to change," she recalls. This experience underscores the importance of external validation and the power of gentle, yet insistent, encouragement in unlocking latent potential.

The Transformative Power of Formal Mathematics

Flanigan’s post-graduation experience as a predoctoral research assistant in economics at Princeton further shaped her intellectual trajectory. A particularly pivotal moment arrived through Professor Evita Nestoridi (now an associate professor at Stony Brook University), who allowed Flanigan to audit her real analysis class. This engagement with formal mathematics proved to be a profound revelation. "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 explains. "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 experience exemplifies how exposure to rigorous intellectual frameworks can redefine one’s capabilities and aspirations.

Carnegie Mellon and the Genesis of Democratic Algorithms

Choosing Carnegie Mellon for her PhD, Flanigan embarked on research focused on social choice and democratic decision-making. This path allowed her to synthesize her dual passions for technical research and the fundamental question of "who gets what and why," a sentiment echoing Nobel Prize-winning economist Al Roth. Her doctoral work laid the groundwork for developing algorithms designed to address critical challenges in citizen assemblies.

Addressing the Representation Gap in Citizen Assemblies

A significant area of Flanigan’s research involves the development of algorithms for randomly selecting participants for citizen assemblies, particularly in scenarios where self-selection leads to unrepresentative groups. For instance, in a hypothetical assembly on artificial intelligence, a group of willing participants might disproportionately comprise younger, more educated individuals with a keen interest in technology. This inherent bias risks underrepresenting other segments of the population who also have a vested interest in the outcomes of AI policy. Flanigan’s algorithms aim to mitigate such disparities by balancing representation with key selection features: equality of opportunity for participation, resistance to manipulation, and transparency. These elements are crucial for fostering public trust and enhancing the perceived legitimacy of decision-making bodies.

Panelot.org: Democratizing Participatory Processes

The practical application of Flanigan’s research is evident in panelot.org, a widely utilized open-access website that provides algorithms for the random selection of citizen assembly participants. This platform serves as a vital tool for practitioners, guiding them through complex technical trade-offs and enabling optimization based on specified priorities. "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 notes. This initiative democratizes access to sophisticated tools for deliberative democracy, empowering communities to engage in more inclusive and representative decision-making processes.

The Quest for Legitimate Political Processes

Flanigan’s overarching motivation stems from a profound belief in the necessity of legitimate political processes for the viability of any societal solution. "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 asserts. This conviction drives her ongoing research, which extends beyond citizen assemblies to explore novel methods for systematically soliciting public input on complex decisions. She is also investigating how the phrasing of questions in preference elicitation contexts can significantly influence the conclusions drawn from public opinion.

A Harmonious Fit at MIT: Embracing Unconventional Thinking

The interdisciplinary nature of Flanigan’s work finds a natural and supportive environment at MIT. Her unique journey, marked by a willingness to bridge disparate fields, resonates with the institution’s ethos. "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 sense of belonging and validation is critical for researchers pushing the boundaries of knowledge, particularly those whose work challenges traditional academic silos.

Broader Implications and the Future of Governance

The implications of Bailey Flanigan’s research are far-reaching. In an era where democratic institutions are increasingly scrutinized and challenged, her work offers tangible tools and theoretical frameworks to enhance public engagement and strengthen the legitimacy of governance. By developing methods for more inclusive and representative participation, Flanigan is not only advancing the fields of computer science and political science but also contributing to the practical realization of more robust and responsive democracies. Her ability to seamlessly integrate technical innovation with a deep understanding of social and political dynamics positions her as a leading figure in the evolving landscape of public decision-making. The ongoing exploration of how to systematically gather public input and the subtle yet significant impact of question framing on elicited preferences suggest a future where technology and social science converge to create more effective and equitable forms of governance. Her journey, from a curious child on a Wisconsin farm to a pioneering researcher at MIT, serves as an inspiring example of how a relentless pursuit of understanding can lead to impactful contributions to society.

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