论文标题
由依次到来的人组成多样化的团队
Forming Diverse Teams from Sequentially Arriving People
论文作者
论文摘要
协作工作通常受益于与异质成员建立团队或组织。在本文中，我们提出了一种方法，可以随着时间的流逝从依次到达的人组成如此多样化的团队。我们定义了一个单调的supdodular目标函数，该目标功能结合了团队的多样性和质量，并提出了一种算法以最大程度地提高目标，同时满足了多个约束。这使我们能够平衡团队的多样化以及它可以执行手头的任务的能力。使用人群实验，我们表明，实际上，该算法会带来大量的团队多样性增长。使用模拟，我们展示了如何量化组成多样化团队的额外成本以及如何同时解决多种属性（例如，原籍国，性别）的多样性的问题。我们的方法在合作工作中提供了应用程序，从团队组建，工人到众包的团队以及审查者分配到依次到达的期刊论文。我们的代码可公开访问以进行进一步研究。
Collaborative work often benefits from having teams or organizations with heterogeneous members. In this paper, we present a method to form such diverse teams from people arriving sequentially over time. We define a monotone submodular objective function that combines the diversity and quality of a team and propose an algorithm to maximize the objective while satisfying multiple constraints. This allows us to balance both how diverse the team is and how well it can perform the task at hand. Using crowd experiments, we show that, in practice, the algorithm leads to large gains in team diversity. Using simulations, we show how to quantify the additional cost of forming diverse teams and how to address the problem of simultaneously maximizing diversity for several attributes (e.g., country of origin, gender). Our method has applications in collaborative work ranging from team formation, the assignment of workers to teams in crowdsourcing, and reviewer allocation to journal papers arriving sequentially. Our code is publicly accessible for further research.
