The Maxwell Institute organizes occasional conferences, special lectures, and meetings which are aimed at enhancing the research environment, promoting the uses of mathematics in other spheres, and linking the groups at the different campuses.


The Maxwell Institute Fitch Lecture will be delivered by Antoine Bavandi on 9th May 2024.


The Maxwell Institute Whittaker Lecture will be delivered by Prof. Kavita Ramanan on 15th May 2024.

Maxwell Institute Fitch Lecture 2024

The 2024 Maxwell Institute Fitch Lecture will be delivered by Antoine Bavandi, Global Head of Public Sector, Parametric & Climate Resilience Solutions at Gallagher Re, on 9th May 2024 at the Adam Smith Panmure House. Tickets are available here.

Bigger, Stronger, more Sustainable: Climate Resilience through holistic Public-Private Risk Solutions

Global risks present unique challenges to governments and businesses but also an opportunity to create new resilience pathways. Addressing them requires a comprehensive offering approach leveraging the whole suite of data, analytics, insurance and financial risk management instruments. Combined with well-targeted public-private engagements and climate adaptation strategies, such an holistic approach helps accelerate the take up and implementation of effective resilience solutions to global threats, at scale.

Whittaker Lecture

The fourth Maxwell Institute Whittaker Lecture will be delivered by Prof. Kavita Ramanan (Brown University) on: Interacting Particle Systems on Sparse Random Graphs.

Join us at 12.00 on 15th May in the Teviot Lecture Theatre, Doorway 5, Old Medical School. The talk will be followed by a reception at 13.00 on the 5th floor of the Bayes Centre, on the Maxwell Institute side.


Large collections of randomly evolving particles that interact locally with respect to an underlying network or graph model a variety of phenomena ranging from magnetism, the spread of diseases, and neural and neuronal networks. Due to their high-dimensional nature, these systems are typically intractable to analyze exactly. Classical work, falling under the rubric of mean-­field limits, has mostly focused on the case when this interaction graph is complete or dense. However, most real-world networks are sparse and often random. We describe a new framework for rigorous asymptotic characterizations of both typical and atypical dynamics on realistic networks that beats the curse of dimensionality, and illustrate their efficacy on specific models. The analysis requires a combination of tools from graph theory, combinatorics, stochastic calculus and large deviations.


Kavita Ramanan is a probability theorist who works as a professor of applied mathematics at Brown University. After a PhD from Brown in 1996, she was a postdoc at the Technion, worked at Bell Labs and as faculty member at Carnegie Mellon University before returning to Brown in 2010.

Among many prizes and distinctions, Ramanan won the Erlang Prize of the Applied Probability Society of INFORMS in 2006, was elected as a fellow of the Institute of Mathematical Statistics in 2013, and elected to the 2018 class of fellows of the American Mathematical Society and the Institute for Operations Research and the Management Sciences.

She gave the 2015 Medallion lecture for the Institute of Mathematical Statistics, on “Infinite-dimensional scaling limits of stochastic networks”. In 2019, Ramanan was elected fellow of the American Association for the Advancement of Science (AAAS) and in 2020 was elected a fellow of the Society for Industrial and Applied Mathematics.