September 9-13, 2024
EPFL, Lausanne, Switzerland
https://bernoulli.epfl.ch/comb2024/

As part of a one-month program at EPFL’s Bernoulli center centered on combinatorics and TCS, we will hold a one-week summer school for students and postdocs. More details and an application form are on the website.

July 15-19, 2024
DIMACS, New Jersey, USA
http://dimacs.rutgers.edu/events/details?eID=2764

Submission deadline: March 28, 2024
Registration deadline: March 25, 2024

DIMACS is organizing a tutorial in Fine-grained complexity in July 2024. The tutorial is primarily for graduate students working on topics in and around theoretical computer science (TCS) who are not already familiar with fine-grained complexity. Students who do not have access to an expert in fine-grained complexity at their institution and students working in other areas of TCS (i.e. not fine-grained complexity) who want to incorporate the fine-grained lens into their research will be prioritized for admission and financial support.

July 1-5, 2024
Prague, Czech Republic
https://www.mff.cuni.cz/en/iuuk/events/czech-summer-school-on-discrete-mathematics

Registration deadline: March 1, 2024

Czech Summer School on Discrete Mathematics 2024 will feature lecture series on Combinatorial and algorithmic applications of twin-width (Édouard Bonnet, CNRS) and Poset inequalities (Igor Pak, UCLA). The School is primarily intended for PhD students and postdocs, but students and researchers in other stages of their careers may also participate. A limited number of stipends to cover travel expenses and accommodation for participants is available.

June 27-28, 2023
Bryn Mawr College
https://fodsi.us/ssbm.html

The Foundations of Data Science Institute (FODSI) is organizing a summer school on the foundations of data science. This school will be held at the Bryn Mawr College campus, near Philadelphia. It is aimed at advanced undergraduate students and beginning graduate students in fields related to the foundations of data science.

The event is open to all, but registration is required.

May 22-26, 2023
Ghent, Belgium
https://algebra.ugent.be/hdx/

This summer school on high-dimensional expanders is the first event organized in the framework of the EOS-project “High-dimensional expanders and Kac–Moody–Steinberg groups”. It consists of 7 short series of lectures by experts in the field and is meant to be accessible to a wide audience of both young and established researchers.

July 25-29, 2022
Los Angeles, USA
http://www.ipam.ucla.edu/gss2022b

Registration deadline: April 15, 2022

The goal of this summer school is to present an in-depth introduction to post-quantum and quantum cryptography for advanced
undergraduate and graduate students, as well as young researchers, in mathematics, computer science, and physics. Lecturers in the school will discuss both topics hand in hand: post-quantum
cryptography, or the art of analyzing security of classical
cryptosystems against attacks, and quantum cryptography, or the art of leveraging quantum effects to develop new cryptographic schemes that are made possible by quantum information.

July 11-15, 2022
Prague, Czech Republic
https://www.mff.cuni.cz/en/iuuk/events/prague-summer-school-on-discrete-mathematics

Registration deadline: March 1, 2022

Prague Summer School on Discrete Mathematics 2022 will feature lecture series on
statistical physics methods in combinatorics (Will Perkins) and the container method (Wojciech Samotij). The School is primarily intended for PhD students and postdocs, but students and researchers in other stages of their careers may also participate. A limited number of stipends to cover travel and stay for participants is available.

September 13-17, 2021
Online
https://www.him.uni-bonn.de/programs/future-programs/future-trimester-programs/discrete-optimization/discrete-optimization-school/

Aims and Scope:
The school provides an introduction to some of the main topics of the trimester program on discrete optimization. The lectures will address the interface between tropical geometry and discrete optimization; recent developments in continuous optimization with applications to combinatorial problems; topics in approximation algorithms; and fixed parameter tractability. The lectures will be mainly directed towards PhD students and junior researchers.

Lecturers:

Michał Pilipczuk (Warsaw University): Introduction to parameterized algorithms and applications in discrete optimization

Aaron Sidford (Stanford University): Introduction to interior point methods for discrete optimization

Ngoc Mai Tran (UT Austin): Tropical solutions to hard problems in auction theory and neural networks, semigroups and extreme value statistics

Rico Zenklusen (ETH Zürich): Approximation algorithms for hard augmentation problems

Abstracts can be found here:
https://www.him.uni-bonn.de/fileadmin/him/Workshops/template_abstracts_him_School_Sept_I.pdf

Schedule can be found here:
https://www.him.uni-bonn.de/fileadmin/him/Workshops/template_schedule_him_School_Sept_I.pdf

Interested in attending the School?

Here is the link for the online (and free) registration!
https://www.him.uni-bonn.de/index.php?id=4847

This Summer School is part of the HIM trimester in Discrete Optimization
https://www.him.uni-bonn.de/programs/future-programs/future-trimester-programs/discrete-optimization/description/

Organizers: Daniel Dadush (Amsterdam), Jesper Nederlof (Utrecht), Neil Olver (London), Laura Sanità (Eindhoven), László Végh (London)

July 26 – August 13, 2021
Online
https://conferences.mpi-inf.mpg.de/adfocs-22/

ADFOCS is an international summer school held annually at the Max Planck Institute for Informatics (MPII). The topic of this year’s edition is Convex Optimization and its applications on Graph Algorithms. The event will take place online over the span of three weeks from July 26 to August 13 with a daily 2 hour lecture.

We are delighted to have the following speakers:

Alina Ene (Boston University): Adaptive gradient descent
Rasmus Kyng (ETH Zurich): Graphs, sampling, and iterative methods Aaron Sidford (Stanford University): Optimization Methods for Maximum Flow

Registration is mandatory but free.

May 24-28, 2021
Online
https://indico.eimi.ru/event/199/

An advanced school for young researchers featuring three minicourses in vibrant areas of mathematics and computer science. The target audience includes graduate, master, and senior bachelor students of any mathematical speciality.