Assistant Professor Bailey Flanigan is at the forefront of developing complex computational methods designed to bolster democratic engagement. Her journey, marked by a blend of curiosity and interdisciplinary exploration, has led her to the MIT Schwarzman College of Computing and the MIT departments of Political Science and Electrical Engineering and Computer Science (EECS).
Flanigan’s early interests were diverse, ranging from building contraptions on her family’s farmland in Wisconsin to exploring medicine and writing. This eclectic background shaped her academic pursuits, leading her to focus on subjects that allowed for creativity and real-world problem-solving. By the time she reached high school, she was drawn to classes that fostered her interests rather than merely fulfilling requirements.
Interdisciplinary Foundations
Flanigan’s academic path has spanned numerous fields, including medicine, public health, and economics. Her initial research at the University of Wisconsin involved therapeutic targets in cancer, but she soon shifted her focus to public health, developing microfluidic devices for HIV detection in low-resource settings. This transition was driven by a desire to address broader societal issues rather than focusing solely on niche scientific advancements.
Her mentors played a significant role in her development, encouraging her to pursue opportunities she initially deemed unattainable. This support helped her recognize her potential and led her to apply for prestigious scholarships, ultimately shaping her trajectory toward advanced studies in computer science.
Innovative Algorithms for Citizen Assemblies
At Carnegie Mellon, Flanigan’s research concentrated on social choice and democratic decision-making. She has created algorithms that facilitate the random selection of participants for citizens’ assemblies, addressing the common issue of self-selection bias that often skews representation. For instance, in a hypothetical assembly on artificial intelligence, the participants might predominantly come from younger, tech-savvy demographics, leaving out significant voices from other groups.
Her algorithms are designed to enhance fairness and transparency in the selection process, ensuring that all individuals have equal chances to participate and that the process remains resistant to manipulation. These tools are now available on panelot.org, an open-access platform that guides practitioners through complex technical trade-offs in participant selection.
A Vision for Political Legitimacy
Flanigan’s motivation stems from a belief that public trust in political processes is essential for viable solutions. She is also exploring how to systematically gather public input on complex decisions and how the framing of questions can influence outcomes. Her dual appointment at MIT allows her to delve deeply into both the political and technical aspects of governance.
Reflecting on her experience at MIT, Flanigan expresses a profound sense of belonging, stating that her unique approach to problem-solving has been validated and embraced. Her work exemplifies the potential of computational methods to enhance democratic processes, making them more inclusive and legitimate.
This article was produced by NeonPulse.today using human and AI-assisted editorial processes, based on publicly available information. Content may be edited for clarity and style.
