Spring School and Workshop on Polytopes

March 11-15, 2019
Bochum, Germany
https://www.rub.de/polytopes2019/

Registration deadline: February 11, 2019

The Spring School is designed for advanced bachelor, master and PhD students. The aim is to prepare the participants in such a way that they can follow the lectures of the subsequent workshop. It consists of three crash courses:

Geometry of Polytopes, Monday (2x2h) by Tim Römer (University of Osnabrück) Random Polytopes, Tuesday (2h) by Pierre Calka (University of Rouen) Face Enumeration, Tuesday (2h) by Hailun Zheng (University of Michigan).

Summer School on Geometric and Algebraic Combinatorics

June 17-28, 2019
Paris, France
http://gac-school.imj-prg.fr/

Submission deadline: March 27, 2019
Registration deadline: March 27, 2019

This two-week summer school will present an overview of a selection of topics in the crossroads between geometry, algebra, and combinatorics. It will consist of four one-week mini-courses given by leading experts, complemented with supervised exercise sessions, lectures by invited researchers, and research presentations by junior participants. The school is aimed at young researchers in geometric and algebraic combinatorics and related fields, although any interested researcher is welcome to participate. We expect the school to be an opportunity to bring together researchers from different backgrounds and foster new interactions. This school is part of the ongoing ANR project CAPPS.

Mixed-Integer Nonlinear Optimization meets Data Science

June 25, 2018 – June 28, 2019
Ischia, Italy
http://www.iasi.cnr.it/minoa/big-data-school/

CNR-IASI, as part of the MINOA project, announces the school for PhD students and post-docs on the theme Mixed Integer Non linear Optimization meets Data Science. The school will cover the following topics:

Deep learning for AI
Clustering for Big Data
Machine Learning for Combinatorial Optimization
Support Vector Machines

PCP-fest 2018

December 18-20, 2018
Tel Aviv, Israel
https://sites.google.com/view/pcpfest

The PCP-fest is a PCP centered workshop, aiming to bring together researchers from around the world. The workshop will focus on the state of the art theoretical results on PCPs and future directions, as well as recent applications with regards to Blockchain technology.

New York Area Theory Day (Fall 2018)

December 7, 2018
Courant Institute at New York University
https://cs.nyu.edu/dynamic/news/colloquium/1100/

The New York Area Theory Day is a semiannual event, aimed to bring together people in the New York Metropolitan area who are interested in theoretical computer science. This time it will take place at New York University and feature four talks on a broad variety of topics.

Winter School on Theoretical Foundations of Computer Science

February 4-9, 2019
Tbilisi, Georgia
https://cte.ibsu.edu.ge/wstfcs2019/index.php

Registration deadline: December 15, 2018

The winter school on Theoretical Foundations of Computer Science will be held in Tbilisi, Georgia, February 4-9, 2019. The school will be organized by the International Black Sea University with the support of Shota Rustaveli National Science Foundation of Georgia (SRNSFG). The intended audience of the winter school includes master and PhD students as well as young researchers from the fields of computer science and mathematics.

The 3rd Winter School in Computer Science and Engineering on Blockchains and Cryptocurrencies

December 16-20, 2018
Jerusalem, Israel
http://ias.huji.ac.il/cse3

Registration deadline: November 30, 2018

Blockchain technology promises to revolutionize how modern society deals with trust. Although cryptocurrencies such as Bitcoin dominate the media, the long-term impact of blockchain technology on society will extend far beyond today’s news cycles, transforming areas ranging from identity management, to non-currency financial instruments, supply chains and logistics, IOT security, and more.

The IIAS Winter School on Blockchains and cryptocurrencies brings together leading researchers in the field to cover the mathematical and algorithmic foundations of the field, as well as more practical engineering issues, with the goal of understanding both the opportunities and the hazards emerging from this area.