Project 1: Governing by Numbers — How mathematical ideas and quantification shape political governance
Context and Motivation
The study of governance by numbers addresses how mathematical concepts, statistics, probabilities and quantification methods are employed—sometimes instrumentalized or even rhetorically invoked—to structure political decision-making, administrative control, and social order. This topic, explores both historical and contemporary practices, scrutinizing the tension between technocratic rationality and democratic values. A complementary project would focus on cultures of risk, comparing globally and historically how and to what end different cultures and domains of inquiry have sought to produce stability out of the inevitable experience of uncertainty.
Key Contributors
- Karine Chemla – Known for her deep work on ancient Chinese mathematics, Chemla offers a rare global and historical perspective that can enrich the project. In particular, her analysis of how mathematical knowledge addressed economic and administrative challenges in ancient China would provide valuable insights into non-Western traditions of governance through mathematics.
- William Derringer – A professor of science, technology, and society at MIT. His research examines the history of those techniques and technologies of calculation that organise modern economic, financial, and political life. His work ranges widely, from early compound-interest tales and changing social relationships in the English countryside in the early 1600s to the place of computer spreadsheets in the culture of Wall Street in the “go-go” 1980s.
- Emmanuel Didier – A research director at the CNRS and a member of the Centre Maurice-Halbwachs (ENS & EHESS). He founded the Society for the Social Studies of Quantification (SSSQ), an international network including UCLA, LSE, Northwestern, and Wits University. His work focuses on the links between politics and quantification from a socio-historical perspective. He recently published Quantitative Marbling: New Conceptual Tools for the Socio-history of Quantification.
- Frédéric Jaëck – A philosopher of mathematics based at the Centre Gilles-Gaston Granger, affiliated with CNRS and Aix-Marseille University, France. He works on mathematical thinking and its applications beyond formal mathematics. He explores how mathematics informs reasoning in various domains. Central to his research is the connection between mathematics and rationality outside traditional boundaries.
- Hugo Harari-Kermadec – A professor of sociology at the University of Orléans and associate researcher at IDHES (ENS Paris-Saclay / CNRS). Trained as a statistician, his work focuses on quantification as a political and economic device in higher education. He has analyzed how rankings and numerical evaluation contribute to the marketization of universities. His research addresses tuition fees, social segregation, and the governance of education through numbers.
- Bruno Perreau – Cynthia L. Reed Professor of French Studies and Language at MIT. He specialised in critical theory, politics, and contemporary French Literature and Culture. His research addresses gender, sexuality, bioethics, and minority politics in a global context, emphasizing legal hermeneutics, narrative, and social theories of justice. He is also the founding chair of the MIT Global France Seminar and founder of the French+ Initiative@MIT.
- Shankar Raman – A professor of literature at MIT who works on interconnections between literature and mathematics in early modernity and is especially interested in the intersections of these domains with philosophy, theology, and law.
- Mélanie Sargeac – A sociologist and postdoctoral researcher at CNRS (IDHES, Université Paris Nanterre). Her work focuses on selection processes in higher education, especially in law, and the role of quantification in shaping institutional hierarchies. She has studied the impact of platforms like Parcoursup and recent French reforms on access and inequality. She co-organises a seminar at EHESS on the sociology of university governance and reform.
- Alain Supiot (TBC) – A Professor Emeritus at the Collège de France, where he held the chair of “Social State and Globalization: Legal Analysis of Solidarities”. In his influential book La gouvernance par les nombres (2015), he analyzes how the rise of quantitative indicators reshapes governance by shifting from law-based regulation to management through metrics, challenging traditional legal and political frameworks. His work highlights the risks of depoliticization and the transformation of social bonds into technocratic performance measures.
Research Gaps and Opportunities
- Towards a Deeper Analysis of How Mathematics Operates in Governance — Existing research remains situated within specific institutional or disciplinary frameworks: e.g, the bureaucratic logic of quantification, the historical authority of statistical objectivity, and the epistemologies of expert judgment. What is notably lacking, however, is a more reflective and unified problematic concerning the recourse to mathematics itself—its justifications, modes of operation, and implications when employed as an instrument of governance, legitimacy, or knowledge production. Rather than simply calling for another synthesis, we aim to sketch a space of critical reflection and conceptual broadening, where recourse to mathematics is not only described in empirical contexts but also rigorously interrogated in its political, epistemic, and normative dimensions.
- Comparative, Historical and Global Perspectives — Most current works focus on Western modernity. Extending the study to non-Western historical cases (such as Chemla’s work on China or the role of medieval Arab mathematicians in the emergence of European modernity) or to contemporary Global South contexts remains underdeveloped.
- Interdisciplinary Integration — There is a need for approaches that combine legal philosophy, history, sociology, theology, and political theory with philosophy of mathematics, to better understand the epistemic and normative dimensions of governance by numbers.
- Critical Analysis of Technocratic Governance — Further research could illuminate the democratic, ethical, and social implications of data-driven governance, AI, and algorithmic decision-making.
Research Questions
- How have mathematical concepts and statistical/probabilistic reasoning been integrated into governance structures across different cultures and historical periods?
- How has risk and uncertainty been conceptualised and addressed in different cultural and historical contexts?
- In what ways do cultural and institutional contexts shape the role and meaning of numbers in political governance?
- What consequences does governance by numbers have for democracy, social justice, and individual freedoms?
- How do societies resist, negotiate, or transform technocratic governance regimes to preserve or reinvent legal and political values?