*** Special topic: Conversational AI ***
Summary: Consider sending a proposal for a short course (4-5 lectures)
on the topics of Information Retrieval, Conversational Search, **or
13th RUSSIAN SUMMER SCHOOL IN INFORMATION RETRIEVAL (RuSSIR 2020)
August 24–28, 2020, Moscow, Russia
This year the school is co-organized by the Russian Information
Retrieval Evaluation Seminar (ROMIP, http://romip.ru/en/), and
representatives of Russian and international Universities and research
labs. Traditionally the school concentrates on information retrieval.
RuSSIR 2020 will have an additional focus on Conversational AI and
conversational search, but course proposals should not be limited to
The mission of the RuSSIR school series is to enable its students to
learn about modern problems and methods in information retrieval and
related disciplines; to stimulate scientific research and
collaboration in the field; and to create an environment for informal
contacts between scientists, students, and industry professionals.
RuSSIR 2020 will offer up to 6 courses and host approximately 100
participants. The target audience of the school is advanced graduate
students, young scientists, academic and industrial researchers, and
developers. The working language of the school is English.
RuSSIR 2020 welcomes course proposals on any aspect of information
retrieval and related disciplines, either generally on latest
methodologies in the field or with a particular emphasis on
conversational interfaces. Each course should consist of four or five
90 minute-long sessions. Courses may include lectures and/or practical
Summer school organizers will cover travel and accommodation expenses
for one lecturer per course; no additional honorarium will be paid to
the lecturer(s). The school organizers would highly appreciate if,
whenever possible, lecturers could find alternative funding to cover
their travel and accommodation expenses, and indicate this possibility
in their proposals.
Course proposals submission deadline: February 29, 2020 (anywhere on Earth)
Notification: March 21, 2020
School: August 24--28, 2020 (Mon--Fri)
Course proposals must be submitted in PDF format to the submission
website https://easychair.org/conferences/?conf=russir2020, by
February 29, 2020 (anywhere on Earth).
A course proposal should contain the following:
- Title and keywords.
- Description of teaching and research experience, and contact
- Relevance of the course to the school's scope and objectives.
- Brief description of the course (up to 300 words suitable for
- Full description (1–2 pages, to be used for evaluation).
- Target audience and expected prerequisite knowledge of the audience.
- Relevant references to support proposal evaluation.
- Preferred schedule and necessary equipment.
All proposals will be evaluated by the program committee according to
school's goals, the clarity of presentation, and the lecturers'
Early informal inquiries about the school or the proposal
process are encouraged (please send an email to [log in to unmask] or to
one of the PC Chairs).
The first RuSSIR summer school took place in 2007 and since then has
evolved into a popular academic event with solid international
participation. Previous schools took place in Kazan, Yekaterinburg,
Taganrog, Petrozavodsk, Voronezh, Yaroslavl, Kazan, Nizhny Novgorod,
St. Petersburg, and Saratov. Courses in previous editions of RuSSIR
were taught by many prominent researchers in information retrieval and
The capital of Russia is a modern and vibrant city, which attracts
tourists from all over the world. It is a sparkling mix of old
churches, the Soviet architecture, and modern buildings. It is also a
home for world-famous attractions such as Red Square, Tretyakov
Gallery, and Bolshoi Theatre. Being a large transport hub, Moscow is
easily reachable from anywhere in the world. You can learn more from
the official tourism portal: https://eng.russia.travel/moskva/
- Johanne R. Trippas <[log in to unmask]> (RMIT University),
- Aleksandr Chuklin <[log in to unmask]> (Google Research), Program co-chair
- Eugene Kharitonov <[log in to unmask]> (Facebook AI Research), Program co-chair
- Pavel Braslavski (HSE St. Petersburg & JetBrains Research), General chair
[log in to unmask]
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