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Housing Allocation & Upgraded Solutions (HAUS)

Housing Allocation & Upgraded Solutions (HAUS)
住房分配
批准号:
133685
负责人:
金额:
$13.51万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

项目摘要

项目成果

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中文摘要
翻译
“世界各国政府花费大量资金提供公共住房,但往往无法有效分配。我们的学术研究表明,博弈论和市场设计可以用来提供更好的人与家庭之间的匹配,显著改善社会福利。一个更有效的住房分配系统可以产生价值数百万英镑的价值。我们的目标是开发一种软件即服务(SaaS)解决方案,以解决公共住房分配效率低下的问题,这可以帮助英国的议会以及国外的住房供应商。该SaaS将使用市场设计的最新发现来分配房屋。我们的解决方案将基于我们团队成员进行的原始研究。我们设计了新的匹配算法,既可实现,又比现有的分配系统更有效。”
英文摘要
"Governments around the world spend vast sums providing public housing, but often fail to allocate it efficiently. Our academic research shows that game theory and market design can be used to provide better matches between people and homes, with significant improvements in social welfare. A more efficient housing allocation system could generate many millions of pounds worth of value.We aim to develop a Software as a Service (SaaS) solution to the problem of inefficient public housing allocation that can help councils in the UK as well as housing providers abroad.This SaaS will allocate homes using the latest findings from market design. Our solution will be based on original research conducted by members of our team. We have designed new matching algorithms that are both implementable and far more efficient than the allocation systems currently in place."
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国内基金
海外基金
CREB在杏仁核神经环路memory allocation中的作用和机制研究
  • 批准号:
    31171079
  • 项目类别:
    面上项目
  • 资助金额:
    55.0万元
  • 批准年份:
    2011
  • 负责人:
    周宇
  • 依托单位: