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DTSTAMP:20260417T010240Z
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DTSTART:20180515T123000
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DESCRIPTION:Date/Time: May 15\, 2018 12:30pm to 1:00pm\n\nLocation: We
 binar\n\nDescription: Presented by TransCen\, Inc. and the Mid-Atlantic A
 DA Center\n\nThis is a 30 minute session.\n\nGoogle Maps\, Waze\, and Ye
 lp have transformed the way people travel and access information about th
 e physical world. While these systems contain terabytes of data about road
 s and points of interest (POIs)\, their information about physical accessi
 bility is commensurately poor. New websites such as AXSmap(link is extern
 al)\, WheelMap(link is external)\, and AccessTogether(link is external)
  aim to address this problem by collecting location-based accessibility i
 nformation provided by volunteers (i.e.\, crowdsourcing). While these effo
 rts are important and commendable\, their value propositions are intrinsic
 ally tied to the amount and quality of provided data--and prior work has f
 ound that they suffer from serious data sparseness issues. In contrast\, a
  team from the University of Maryland and the University of Washington is 
 exploring a complementary approach called Project Sidewalk(link is extern
 al) where volunteer users *virtually* walk through cities in Google Stree
 t View to label and assess sidewalk accessibility--a bit like a first-pers
 on video game. So\, rather than pulling solely from a local population\, t
 he potential pool of users scales to anyone with an Internet connection an
 d a web browser. Since Project Sidewalk's beta launch in Washington DC in 
 Fall 2016\, over 3\,000 users have contributed 180\,000 accessibility labe
 ls across 1\,075 miles of DC streets\, check out preliminary results(link
  is external). The collected data is shared with city governments and used
  to develop new accessibility-friendly mapping tools (e.g.\, route planner
 s for people in wheelchairs\, new types of map visualizations of access)\,
  to train machine learning algorithms to automatically assess accessibilit
 y\, and to create better transparency about accessible infrastructure (ima
 gine a WalkScore(link is external) for sidewalk accessibility!).\n\nPres
 enter: Jon Froehlich is an Associate Professor in the Paul G. Allen Sch
 ool of Computer Science and Engineering at the University of Washington\n
 \nRegistration\n\n\n	\n	This webinar will be presented via the Blackboard 
 Collaborate Web Conferencing platform.\n	\n	\n	Real-time captioning will b
 e availble [sic] through the webinar platform.\n	\n	\n	A telephone confer
 ence option will also available should you choose not to use the webinar p
 latform.\n	\n	\n	Information on accessing the webinar platform and the tel
 ephone conference number will be provided prior to the session.\n	\n	\n	To
  register please click here\n	\n\n\nFirst time Blackboard Collaborate Web 
 Conferencing System V12.6 users:\n\nFor more information on pre-configurin
 g your computer for use with Blackboard Collaborate\, please visit the Fi
 rst Time Users(link is external) page. We recommend you do this well in 
 advance of the session to allow for any necessary troubleshooting. Depend
 ing on your organizational policies you may need the assistance of your IT
  Staff if firewalls prevent you from downloading files. If you plan to log
  into the on-line webinar system to view the presentation\, access caption
 ing and/or submit questions it is important that you follow the instructio
 ns for checking your computer system to ensure that it is configured corre
 ctly and you have the necessary software to access the webinar platform.\n
 \nScreen Reader Users: Individuals who are using Screen Reader Software s
 hould review the instructions and information available in the Accessibil
 ity Guide(link is external) for Blackboard Collaborate Web Conferencing p
 rior to the session.\n\nWEBINAR HANDOUTS\n\nPresentatin [sic] handouts wil
 l be available prior to the webinar session.\n
SUMMARY:Project Sidewalk: Mapping Accessibility Through Google Street View
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