BEGIN:VCALENDAR
PRODID:NingEventWidget-v1
VERSION:2.0
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:America/Boise
X-LIC-LOCATION:America/Boise
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:2985220:Event:1128551
DTSTAMP:20260419T061550Z
SUMMARY:Woods Bagot by Shane Burger / Tom Withers / Peter Van Hage
DESCRIPTION:Playing the Game: Data-Driven Stadium Design Beyond the de
 velop of complex forms and their rationalization, computation affords 
 us the opportunity to employ data-rich approaches to design exploratio
 n. Data-driven approaches to design enable you to control the flow of 
 information, directing a feedback loop centered on evaluating the impa
 ct of each design decision. This workshop will focus on this design ap
 proach for a large and complex typology, the Stadium.Sports, in genera
 l, is increasingly affected by data. The rise of accessible computatio
 nal tools has given baseball front offices the power to collect new kn
 owledge from an old game (think Moneyball). This new knowledge, built 
 from the statistical analysis of tens of thousands of individual data 
 points, lets managers make better informed decisions about how best to
  win games.Stadium design is well suited to employing similar methods 
 in the design process because we can treat each seat as a data point. 
 This means a typical stadium has tens of thousands of sample points to
  build an analytical model from. Each seat can be analysed for:- Sight
 lines (C value, horizontal and vertical viewing angles, view distance,
  environmental obstructions)- Environmental exposure (to sun and bad w
 eather)- Safety (exiting distances & widths)- Comfort (prestige coeffi
 cient due to proximity to desirable areas of seating eg; front row at 
 the lakers, distance to concessions and amenities)The analytical model
  can assign these modes of analysis different weightings in the aggreg
 ate assessment of each seat. These weightings could be different betwe
 en sports, allowing a proper assessment of multi-use facilities. But i
 n the end, each seat gets a score which allows us to place a value on 
 our design decisions. It allows us to measure the answer to the questi
 on - does this change to design make it better or worse?Led by members
  of the Woods Bagot Sports team and Design Technology Community, parti
 cipants will learn the basics of Stadium bowl design through parametri
 c techniques in Rhino Grasshopper. A simple envelope design, driven by
  the stadium layout, will be evaluated in Diva for solar exposure at e
 ach seat. The \"value\" of each seat will then be analysed.Finally, to
  balance analytic and empirical evaluation, participants will be taugh
 t the basics of the Unity game engine to experience a first-person exp
 eriential view from the seat as the final validation for the design. T
 his will be followed by a short demonstration of the Oculus Rift.This 
 workshop will provide an introduction to data-rich workflows that focu
 s on adding value through various programming and form decisions, veri
 fied through analysis and game-engine visualization.Pre-requisites: Ba
 sic Rhino and Grasshopper knowledge\n\nFor more information visit http
 s://www.grasshopper3d.com/events/woods-bagot-by-shane-burger-tom-withe
 rs-peter-van-hage
DTSTART;TZID=America/Boise:20141020T000000
DTEND;TZID=America/Boise:20141022T235900
CATEGORIES:workshop
LOCATION:Design Agency
WEBSITE:http://2014.acadia.org/workshops.html
URL:http://2014.acadia.org/workshops.html
CONTACT:
ORGANIZER:ACADIA 2014
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
 file/get/2828653144?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Sandy Mc
 Neel":https://www.grasshopper3d.com/profile/SandyMcNeel
END:VEVENT
END:VCALENDAR