Counterterrorism strategies in the lab

We conduct experiments to test the collective action dilemmas associated with defensive and proactive counterterror strategies. Defensive policies are associated with creating public ??bads' (e.g., a commons) whereas proactive policies are akin to the voluntary provision of public goods. When combined, the inefficiency of collective action is exacerbated, resulting in a situation known as a Prisoner??s Dilemma squared (PD²). Deterministic versus probabilistic equivalent versions of the associated externalities are compared within a laboratory setting. Experimental results reveal that the collective action problem associated with counterterror strategies is deepened in uncertain environments, and is indeed a robust regularity that is not easily overcome; as individuals gain more experience, they become even more self-interested.     

图书馆建立虚拟实验室的思考

建设虚拟实验室是高等院校一种全新的教学尝试,对于提高老师和学生的学习科研水平具有重要意义。从虚拟实验室的内涵、建设虚拟实验室的意义、建设规划和技术要求等四个方面加以论述,比较系统地阐述了如何在网络信息资源十分丰富的图书馆建设虚拟实验室的构想。     

Selling favors in the lab: experiments on campaign finance reform

Campaign advertising can provide benefits to constituencies when used to fund the distribution of useful information, but voters can be harmed if candidates finance such advertising by trading policy favors to special interests in exchange for contributions. We report data from novel laboratory campaign finance experiments that shed light on this tradeoff, and that provide rigorous empirical evidence on formal campaign finance theory. Our key finding is that voters respond to advertising differently between special interest and publicly-financed campaigns, and that the nature of this difference is qualitatively consistent with formal models’ predictions.     

Big Data,intelligence, and analyst privacy: investigating information dissemination at an NSA-funded research lab

The Laboratory for Analytic Sciences (LAS) at North Carolina State University, funded by the National Security Agency, is a collaborative, long-term research enterprise focused on improving intelligence analysis using Big Data. In its work, LAS has recently begun dealing with the trade-off between the collection, storage, and use of large unclassified data-sets and analyst privacy. We discuss particular privacy challenges at LAS, analyze privacy principles in the life cycle of LAS unclassified data-sets, what intelligence analysts themselves think about these privacy concerns, and recommend possible best practices potentially applicable to LAS, as well as future Big Data laboratories and research centers that collaborate with intelligence communities.     

作为复杂意识体的“人类命运共同体”意识初探

作为复杂意识体的“人类命运共同体”意识,由两大类别或层面构成:社会心理层面的“人类命运共同体”意识和社会意识形式层面的“人类命运共同体”意识。前者是作为复杂意识体的“人类命运共同体”意识的文化心理基础,是直接连接这一复杂意识体与现实世界的桥梁,并为社会意识形式层面的“人类命运共同体”意识输送“素材”和“原始动力”,以及决定其起积极作用的程度和其传播的速度和深度,影响其走向。后者是作为复杂意识体的“人类命运共同体”意识的“升华”部分,直接标示着这一复杂意识体的水准;它具有以理论化、系统化、定型化的形式自觉引导现实世界,在越来越大的程度上实现“人类以相互包容为基础的共生共存共赢共享共担当共发展的可持续性趋势”的功能,并推动社会心理层面的“人类命运共同体”意识的发展,使其发挥持续和稳定的作用,规定其发展方向。这两者间的区别和联系,显示了作为复杂意识体的“人类命运共同体”意识,其内部的差异和矛盾,以及其存在与发展的规律和特点。从逻辑上看,如果不能全面、正确地认识和把握作为复杂意识体的“人类命运共同体”意识这两大层面间的区别和联系,那么不仅会使对“人类命运共同体”意识的研究走入歧途,而且也会损害“共同构建人类命运共同体”的伟大事业。