Reality Commons

Cell phones have become an important platform for the understanding of social dynamics and influence, because of their pervasiveness, sensing capabilities, and computational power. Many applications have emerged in recent years in mobile health, mobile banking, location based services, media democracy, and social movements. With these new capabilities, we can potentially be able to identify exact points and times of infection for diseases, determine who most influences us to gain weight or become healthier, know exactly how information flows among employees and productivity emerges in our work spaces, and understand how rumors spread. In an attempt to address these challenges, we release several mobile data sets here in "Reality Commons" that contain the dynamics of several communities of about 100 people each. We invite researchers to propose and submit their own applications of the data to demonstrate the scientific and business values of these data sets, suggest how to meaningfully extend these experiments to larger populations, and develop the math that fits agent-based models or systems dynamics models to larger populations. These data sets were collected with tools developed in the MIT Human Dynamics Lab and are now available as open source projects or at cost.

手机已成为理解社会动态与影响力的关键平台，这得益于其广泛普及、感知能力和计算能力。近年来，在移动医疗、移动银行、基于位置的服务等众多领域涌现出大量应用。凭借这些新功能，我们有望精确识别疾病的感染时间和地点，确定哪些因素对我们增重或保持健康影响最大，准确了解信息在企业员工之间的流动以及工作效率在工作空间中的涌现，以及剖析谣言传播的机制。为了应对这些挑战，我们在“现实共享”平台发布了包含约100人每个社区动态的多个移动数据集。我们诚挚邀请研究者提出并提交基于这些数据的自有应用，以展示这些数据集的科学和商业价值，并提出如何将这些实验有意义地扩展到更大人群的方法，以及开发适用于基于智能体模型或系统动力学模型的大规模人群的数学模型。这些数据集由麻省理工学院人机动力学实验室开发，现作为开源项目或以成本价提供。