November 16, 2018
Healey Family Student Center, Georgetown University, Washington, DC http://people.cs.georgetown.edu/jthaler/CATD.html

The Computer Science Department at Georgetown University is organizing the 2018 iteration of Capital Area Theory Day on November 16, 2018. We anticipate a lively day of talks and discussions on a range of topics in theoretical computer science. The event will be free to attend, but registration is requested. The technical program of this workshop is organized by Calvin Newport and Justin Thaler.

October 19, 2018
SDSC Auditorium, UC San Diego, La Jolla, CA
https://sites.google.com/eng.ucsd.edu/socaldb18/home?authuser=1

Registration deadline: September 12, 2018

This is a one-day workshop-style event to bring together academic DB/data management researchers in SoCal and DB-related companies in CA. The goal is to connect students with relevant technical folks in industry and to foster a closer community of SoCal DB researchers and aficionados. The topics of interest include all aspects of databases and data management–theory, algorithms, systems, hardware, HCI aspects, and DB-backed applications–as well as intersections with other fields. The program will include a few invited talks from academia and industry, lightning talks from industry, research updates from academic DB groups, and poster presentations by students. Attendance is free for all academics (faculty, students, and staff). We already have confirmations of participation from the academic DB groups of UCI, UCLA, UCR, UCSB, and USC, as well as from many companies.

January 14-18, 2019
Saarbrücken, Germany
http://people.mpi-inf.mpg.de/~cikenmey/tcsag/

Registration deadline: December 14, 2018

This workshop brings together experts from theoretical computer science and algebraic geometry to discuss the relations between the fields from different perspectives. The goal is to lay the foundations for new interdisciplinary collaborations.

October 15, 2018
Toronto, Canad
https://tpdp.cse.buffalo.edu/2018/

Submission deadline: July 20, 2018

TPDP is a workshop on differential privacy which will be collocated with CCS 18 in Toronto. Differential privacy is a promising approach to privacy-preserving data analysis providing strong worst-case guarantees about the harm that a user could suffer from participating in a the data analysis. Researchers in differential privacy span many distinct research communities, and this workshop will bring researchers from these communities together to discuss recent developments in both the theory and practice of differential privacy. Authors are invited to submit a short abstract (2-4 pages maximum) of their work. Submission should describe novel works or works that have already appeared elsewhere but that can stimulate discussions. Accepted abstracts will be presented at the workshop either in technical sessions or as posters. The workshop will not have formal proceedings and is not intended to preclude later publication at another venue.

June 8, 2018
Northwestern University
https://theory.eecs.northwestern.edu/events/algorithmic-fairness/

Registration deadline: June 8, 2018

As algorithmic systems have increasingly been deployed to make consequential decisions, it is becoming urgent that we grapple with the problem of (un)fairness and discrimination. These are delicate issues — to think rigorously about them, we first need to figure out how to formally define what we want, and then reason about how we might go about achieving our goals algorithmically — and what tradeoffs we will have to manage. This workshop focuses on recent advances in the theory of algorithmic fairness: both on foundational definitional questions, and on algorithmic techniques. The speakers are Nicole Immorlica (MSR), Jon Kleinberg (Cornell), Omer Reingold (Stanford), and Aaron Roth (U. of Pennsylvania).
The technical program of this workshop is organized by Aaron Roth and Jason Hartline.