License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FUN.2018.28
URN: urn:nbn:de:0030-drops-88191
URL: https://drops.dagstuhl.de/opus/volltexte/2018/8819/
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Polishchuk, Valentin ; Sedov, Leonid

Gender-Aware Facility Location in Multi-Gender World

pdf-format:
LIPIcs-FUN-2018-28.pdf (0.6 MB)


Abstract

This interdisciplinary (GS and CS) paper starts from considering the problem of locating restrooms or locker rooms in a privacy-preserving way, i.e., so that while following the path to one's room, one cannot peek into another room; the rooms are meant for a multitude of genders, one room per gender. We then proceed to showing that gender inequality (non-uniform treatment of genders by genders) makes the room placement hard. Finally, we delve into specifics of gender definition and consider locating facilities for the genders in a "perfect" way, i.e., so that navigating to the facilities involves only quick binary decisions; on the way, we indicate that there is room for interpretation the facilities under consideration (we outline several possibilities, depending on the application).

BibTeX - Entry

@InProceedings{polishchuk_et_al:LIPIcs:2018:8819,
  author =	{Valentin Polishchuk and Leonid Sedov},
  title =	{{Gender-Aware Facility Location in Multi-Gender World}},
  booktitle =	{9th International Conference on Fun with Algorithms (FUN 2018)},
  pages =	{28:1--28:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-067-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{100},
  editor =	{Hiro Ito and Stefano Leonardi and Linda Pagli and Giuseppe Prencipe},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8819},
  URN =		{urn:nbn:de:0030-drops-88191},
  doi =		{10.4230/LIPIcs.FUN.2018.28},
  annote =	{Keywords: visibility, Strahler number, perfect tree, interval graphs, gender studies}
}

Keywords: visibility, Strahler number, perfect tree, interval graphs, gender studies
Collection: 9th International Conference on Fun with Algorithms (FUN 2018)
Issue Date: 2018
Date of publication: 04.06.2018


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