Programs & Events
Research Programs and Clusters
The Institute typically hosts two concurrent programs per semester. Programs are selected with a view toward maximizing impact and engagement across the theoretical computer science community, as well as impact on neighboring scientific fields. A typical one-semester program is led by a small group of organizers who are recognized experts in their fields, and involves about 40-50 invited long-term participants (a mix of senior and junior researchers) who spend at least one month (usually longer) at the Institute. A program usually includes three week-long workshops, each of which attracts an additional group of invited speakers and focuses on a different aspect of the program's scientific scope, as well as an initial "boot camp" designed to put long-term participants on the same page.
This program will bring together researchers from different subareas of cryptography toward the goal of advancing some of the major research frontiers in the field.
The Summer Cluster on Quantum Computing brings together researchers from academia and industry to explore topics from quantum complexity theory and cryptography to quantum algorithms, benchmarking, error correction, and fault tolerance. The cluster...
Research Pods
Alongside our semester-long research programs, summer clusters, and weeklong workshops, the Simons Institute now hosts sustained research efforts by small groups of collaborators working on a specific topic over several years. Launched in 2020-21, our Research Pods initiative kicked off with two projects — one in machine learning and one in quantum computing. Each pod features a small number of junior and senior researchers to be in residence at the Institute for the duration. Sustained effort will be articulated by intense shorter convenings, including summer clusters and semester-long research programs.
In the wake of the National Quantum Initiative, the Simons Institute’s Research Pod in Quantum Computing brings together researchers from computer...
The Research Pod in Machine Learning brings together researchers from theoretical computer science, mathematics, statistics, electrical engineering,...
The Research Pod on Resilience in Brain, Natural, and Algorithmic Systems explores the topic of resilience through an interdisciplinary lens, over the...
