The 11th Russian Summer School in Information Retrieval (RuSSIR 2017)
is held from August 21–25, 2017 in Yekaterinburg, Russia.
*CALL FOR COURSE PROPOSAL*
RuSSIR 2017 welcomes course proposals:
- On any aspect of information retrieval, with particular emphasis on machine learning methods.
- Courses may include lectures and/or practical exercises.
- Course typically last four or five 90 minute-long sessions.
- Submitted on or before April 1st (no joke!) through easychair.
*ABOUT RuSSIR 2017*
The school is co-organized by Ural Federal University (https://urfu.ru/en/) and Russian Information Retrieval Evaluation Seminar (ROMIP, http://romip.ru/en/). The missions of the RuSSIR school series are to enable 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 2017 will broadly cover information retrieval with an special focus on machine learning methods in information retrieval. RuSSIR 2017 will offer up to 8 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.
Summer school organizers will cover travel and accommodation expenses for one lecturer per course; no additional honorarium will be paid to lecturer(s). The school organizers would highly appreciate if, whenever possible, lecturers could find alternative funding to cover the travel and accommodation expenses, and indicate this possibility in their proposals.
Submission: April 1, 2017
Notification: May 1, 2017
School dates: August 21-25, 2017
Course proposals should contain the following:
1. Title and keywords.
2. Description of teaching and research experience, and contact information of the lecturer(s).
3. Relevance of the course to the school's scope and objectives.
4. Brief description of the course (up to 300 words) suitable for inclusion in school materials.
5. Full description (1-2 pages – to be used for evaluation).
6. Target audience and expected prerequisite knowledge of the audience.
7. Relevant references to support proposal evaluation.
8. Preferred schedule and necessary equipment.
Course proposals must be submitted in PDF format to the submission web site https://easychair.org/conferences/?conf=russir2017, by April 1, 2017.
All proposals will be evaluated by the program committee according to the school's goals, the clarity of presentation, and the lecturers' qualifications and experience.
All applicants will be notified of the committee’s decision by May 1, 2017. Early informal inquiries about the school or the proposal evaluation process are encouraged (please send an email to [log in to unmask]).
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 Yekaterinburg (2007), Taganrog (2008), Petrozavodsk (2009), Voronezh (2010), Saint Petersburg (2011),Yaroslavl (2012), Kazan (2013), Nizhny Novgorod (2014), St. Petersburg (2015), and Saratov (2016). Courses in previous editions of RuSSIR were taught by many prominent researchers in information retrieval and related disciplines.
*ABOUT THE VENUE*
Yekaterinburg is a large modern city, located in the Ural mountains, on the border between Europe and Asia. Yekaterinburg is known for its vibrant music scene and thriving contemporary art. Many IT companies are located here. Yekaterinburg is the home city of Boris Yeltsin, the first president of Russia; the Yeltsin Presidential Center opened in 2015 became a new highlight of the city. See: <https://en.wikipedia.org/wiki/Yekaterinburg>.
Ural Federal University (UrFU) is one of the top-ranked and largest universities in Russia. UrFU has an old tradition of education and research in computer science; the university's team has a good record in the ACM ICPC series.
– Pavel Braslavski (Ural Federal University, Russia), general chair
– Jaap Kamps (University of Amsterdam), PC chair
– Julia Kiseleva (University of Amsterdam), PC chair
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