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<!DOCTYPE html>
<html>
<head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="description" content="">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>yunsong-liu-main</title>
<style>
@import url('font/css2.css');
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</head>
<body>
<div>
<div class="curzr" hidden>
<div class="circle"></div>
<div class="dot"></div>
</div>
<p class ="bar" >
<ul class="image-list-small">
<li>
<h3><a href="dist/arch.html">建筑<br>PHYSICAL</a></h3>
</div>
</li>
<li>
<h3><a href="dist/digital.html">电子<br>DIGITAL</a></h3>
</div>
</li>
<li>
<h3><a href="index.html">主页<br>ON</a></h3>
</div>
</li>
</ul>
</p>
<!--简介-->
<div id="drawing-container">
</div>
<div class="details" style="margin-top: 20vh">
<h3>瞬时城市</h3>
<p>
时间维度上观察，解释，干预城市空间<br>
通过量定的时间和场所，应对瞬息万变的城市
</p>
</div>
<div class="details" style="margin-top: 30vh">
<p>
On Temporality, Vibrancy, the Thicks and Thins of the Urban Backdrop
<br>
intervene in the city teeming with artifacts worthy of interpretation and social embeddedness.
</p>
<h3>Ephemeral Urbanism</h3>
</div>
<!--自我介绍-->
<div class="details" style="margin:auto;margin-top: 50vh; width: 60%">
<h3>刘云松</h3>
<p>
云松拥有建筑设计与城市设计及理论背景，先后获得清华大学建筑学士、密歇根大学城市设计硕士、以及哈佛大学设计研究硕士。
<br>云松的实践和课程作品涉及：巴西及印度贫民窟的研究和干预；瞬时性建筑的探索；参与式城市设计；
后工业时代城市建筑理论和实践；零工经济与劳动理论研究；科技哲学的批判理论，等。
<br>对于城市内容的探索逐渐让云松开始关注城市大数据，因此云松月光数据艺术家、策展人。云松的艺术探索涉及：艺术化的数据可视化呈现；机器学习与数据科学；动态交互式网页编程；空间3d网页编程，等。
<br>请联系[email protected]
</p>
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<h3>Yunsong Liu</h3>
<p>
Yunsong has backgrounds in Architecture Design, Urban Design, and Critical Theory. Yunsong graduated with B.Arch from Tsinghua University, M.UD from University
of Michigan, and M.Des from Harvard University.
<br>
In her professional and educational works, she worked on: favelas in São Paulo and Indian slums; ephemeral architecture and urban design; participatory urban design;
post-industrial urban study and infrastructural intervention; labor theory under the gig economy; and the philosophy of technology...
<br>The quest for understanding the urban masses introduces Yunsong to the realm of big data. She slashes curator and digital artist. She practices data visualization, machine learning, and computational design with an aspiration of
spatial ethnographies though thick mapping, filmic sensing, and artistic representation of big data.
<br>contact: [email protected]
</p>
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