The aim of the provided support is to increase student participation in the 41st ACM Conference on Research and Development in Information Retrieval (SIGIR 2018), held in Ann Arbor Michigan, U.S.A., July 8-12, 2018. A strong representation of U.S. researchers, particularly students, at the SIGIR conference is essential to maintaining U.S. competitiveness in this important area today and into the future. We recognize the importance of recruiting and engaging students in information retrieval research in early stages of their graduate studies as well as broadening participation of underrepresented students. Support will be provided to 25 US-based graduate students, selected by the SIGIR 2018 Student Sponsorship Committee, on the basis of merit and need. The selection of students receiving the support will also put emphasis on the diversity of the students. Students will be able to present and discuss their research with each other and with senior researchers and help to form future research collaborations.

SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval. Since 1963, the SIGIR conference has promoted research, development and education in the area of search and other information access technologies. It is the major international forum for the presentation of new research and the demonstration of new systems and techniques in the broad field of information retrieval. It covers all aspects of information retrieval research, including theories and foundations, algorithms and applications, and evaluation and analysis. The SIGIR conference program includes oral and poster presentations of refereed papers as well as panel discussions and invited talks by the leading experts from industry and academia. Information on SIGIR 2018 can be accessed at http://sigir.org/sigir2018/. Proceedings will be made available through the ACM Digital Library.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
1826925
Program Officer
Maria Zemankova
Project Start
Project End
Budget Start
2018-04-01
Budget End
2019-03-31
Support Year
Fiscal Year
2018
Total Cost
$25,000
Indirect Cost
Name
University of Virginia
Department
Type
DUNS #
City
Charlottesville
State
VA
Country
United States
Zip Code
22904