改造具活力的科技中心建筑

開心就好xfd 2018-12-08

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The Bayes科技中心是愛丁堡大學地產(chǎn)項目的關(guān)鍵部分，旨在將愛丁堡市中心改造為英國最具活力的科技中心之一，吸引數(shù)據(jù)科學和人工智能領(lǐng)域的頂級國際專家。這座占地9,500平方米的建筑是該大學在其Potterrow校區(qū)投資興建世界級設(shè)施的一部分。2008年，該校愛丁堡工作室(Edinburgh studio)設(shè)計并交付了備受贊譽的信息學論壇(Informatics Forum)和Dugald Stewart建筑。

Text description provided by the architects. The Bayes Centre is a pivotal piece of the University of Edinburgh’s estate set to transform Edinburgh city center into one of UK’s most dynamic places for tech, attracting the highest caliber of international experts in data science and artificial intelligence. The 9,500sq m building is part of the University’s investment into world-class facilities on its Potterrow campus, following the much-lauded Informatics Forum and Dugald Stewart Buildings designed and delivered by the practice’s Edinburgh studio in 2008.

The Bayes匯集了來自各個領(lǐng)域的600位思想家：博士、學術(shù)研究人員和大學職員與以科技為主的企業(yè)，初創(chuàng)企業(yè)和“衍生”計劃一起工作。它提供世界一流的機器人實驗室，開放式和靈活的辦公空間，以促進研究和協(xié)作。除此之外還有更傳統(tǒng)的演講廳，工作室和配套設(shè)施。

Bayes brings together 600 expert thinkers from across the spectrum: Ph.D. students, academic researchers and university staff working alongside tech-focused businesses, start-ups and ‘spin-out’ initiatives. It offers world-class robotics labs, open-plan and flexible working office spaces based on the practice’s research into ‘synergetic’ design, to boost research and collaboration. Alongside this sit more traditional lecture theatres, studios, and workshop facilities.

該大學對該中心的愿景是利用數(shù)據(jù)科學和人工智能來塑造更美好的未來。這需要一個非常具體的知識交流簡介，以及傳統(tǒng)上彼此謹慎操作的員工和研究人員之間的思想交流。該中心通過一系列跨多層次的聯(lián)鎖連接與校園內(nèi)的現(xiàn)有建筑相連。大型中央中庭促進了建筑內(nèi)部群體之間的視覺“透明度”。中庭內(nèi)的樓梯提供了跨樓層的通道，通過分隔的空間分隔，以鼓勵企業(yè)和團體之間偶然相遇。

The University’s vision for Bayes was to use data science and artificial intelligence to shape a better future. This demanded a very specific brief for intellectual interaction and the cross-fertilization of ideas between employees and researchers who would traditionally operate discreetly from each other. The Bayes Centre links to the existing buildings on the campus through a series of interlocking connections across multiple levels. The large, central atrium promotes a visual ‘transparency’ between groups housed in the building. The staircases within the atrium provide access across floors bookended by breakout spaces to encourage serendipitous encounters between businesses and groups.

Bennetts Associates的設(shè)計呼應(yīng)了20世紀60年代貫穿整個場地的原始城市街道，穿過一系列入口和步行路線創(chuàng)建了一個庭院，并保留了方便進入的公共空間。在地面層，落地窗可以讓公眾直接看到實驗室。在這里，設(shè)施和活動室也可供公眾和其他學科的學生使用，而底層咖啡館則橫越中庭和庭院，為社交提供了一個集中點。通過大型屋頂花園為建筑的居民提供進一步的戶外綠地，可以看到Arthur's Seat的壯麗景色。

Echoing the original city street which ran through the site until the 1960s, Bennetts Associates cut through a series of entrances and pedestrian routes to create a courtyard and retain easy-access public spaces. At ground level, floor-to-ceiling windows encourage public visibility directly into the labs. Here too, facilities and events rooms are available for the public and students of other disciplines while the ground floor café straddles the atrium and the courtyard, affording a centralized point for socialization. Further outdoor green space available to the building’s residents via large roof gardens affords stunning views towards Arthur’s Seat.

“該中心是愛丁堡大學Potterrow開發(fā)的最后一期階段，該項目于2003年在一場建筑競賽后啟動。見證愛丁堡大學在大學生活中占據(jù)中心地位的發(fā)展，并在愛丁堡高度成功的“科技”領(lǐng)域的發(fā)展中扮演關(guān)鍵角色，是一種榮幸。 —Rab Bennetts表示。

“我們期待著將來自研究和工業(yè)領(lǐng)域的專家聚集在這個合作領(lǐng)域，將數(shù)據(jù)科學和人工智能應(yīng)用于社會上一些最有趣的挑戰(zhàn)和機遇?！薄狣r. Michael Rovatsos, Director, Bayes Centre.

“Bayes Centre is the final phase of University of Edinburgh’s Potterrow development, which we began in 2003 following an architectural competition. It has been a privilege to observe the development taking its place at the center of University life and playing a pivotal role in the evolution of Edinburgh’s highly successful ‘tech’ sector, something that now extends well beyond the University itself.” - Rab Bennetts, Founding Director, Bennetts Associates

“We look forward to bringing together experts from research and industry in this collaborative space, to apply data science and AI to some of society’s most interesting challenges and opportunities.” – Dr. Michael Rovatsos, Director, Bayes Centre.