In this talk, we will discuss two-dimensional theories with discrete

one-form symmetries, examples (which we have been studying

since 2005), their properties, and gauging of the one-form symmetry.

Their most important property is that such theories decompose into a

disjoint union of theories, recently deemed `universes.'

This decomposition has the effect of restricting allowed nonperturbative

sectors, in a fashion one might deem a `multiverse interference effect,'

which has had applications in topics including Gromov-Witten theory and

gauged linear sigma model phases.  After reviewing one-form symmetries

and decomposition in general, we will discuss a particular 

example in detail to explicitly illustrate these properties and 

to demonstrate how

gauging the one-form symmetry projects onto summands in the

decomposition.  If time permits, we will briefly review

analogous phenomena in four-dimensional theories with three-form symmetries,

as recently studied by Tanizaki and Unsal.

In this talk, I will argue how the observation that four-dimensional N=2 superconformal field theories are interconnected via the operation of Higgsing can be turned into an effective method to construct such SCFTs. A fundamental role is played by the (generalized) free field realization of the associated VOAs.

Here, a connection is a algebraic structure that is weaker than an algebra and stronger than a module. I will define this structure and give examples. I will then define the quantum product and explain how connections capture important properties of this product. I will finish by stating a new result which describes how this extends to equivariant Floer cohomology. No knowledge of symplectic topology will be assumed in this talk.
 

Hawkes processes are a class of point processes used to model self-excitation and cross-excitation between different types of events. They are characterized by the auto-regressive structure of their conditional intensity, and there exists several extensions to the original linear Hawkes model. In this talk, we start by defining Hawkes processes and give a brief overview of some of their basic properties. We then review some approaches to parametric and non-parametric estimation of Hawkes processes and discuss some applications to problems with large data sets in high frequency finance and social networks.