As the academic community debates the future of in-person conferences, it is important to understand how effective they are at diffusing ideas. Most previous attempts to analyze this question have struggled to separate causation from correlation and used potentially biased measures like self-reported learning. Here, we propose a novel approach using scheduling conflicts. When multiple presentations of interest to an attendee are scheduled at the same time, the attendee is less able to see them, on average. If seeing presentations influences future research, then conflicting presentations should influence research less than unconflicting ones. Analyzing conflicts in the personalized schedules of 1960 attendees of 20 computer science conferences reveals that when an attendee is able to see a paper presentation, she is almost twice as likely to cite the paper in her future work. The effect is robust to underlying differences between attendees, papers, and paper authors, and is even larger for a stronger measure of influence -- citing the presented paper multiple times. Given the substantial learning effects of in-person presentations, it will be important to ensure that attempts to turn conferences hybrid or virtual do not imperil knowledge diffusion.
翻译:当学术界讨论面对面会议的未来时,重要的是要了解他们如何有效地传播思想。以前大多数分析这一问题的尝试都试图将因果关系与自我报告学习等潜在偏颇的措施区分开来,并使用了类似自我报告学习等潜在偏颇的措施。这里,我们提出使用时间安排冲突的新颖办法。当同时安排与会者感兴趣的多次陈述时,与会者平均不太能够看到这些陈述,如果看到陈述会影响未来的研究,那么相互冲突的陈述会比不冲突的陈述会影响研究。在1960年20个计算机科学会议参与者的个人化时间安排中分析冲突表明,当参与者能够看到论文介绍时,她几乎比今后工作中引用论文的可能性高出一倍。其效果是使与会者、论文和论文作者之间潜在的差异更加强烈,而且对于更强大的影响力衡量而言甚至更大 -- -- 多次引用了所介绍的论文。鉴于个人陈述会的巨大学习影响,重要的是确保将会议组合或虚拟化的努力不会危及知识的传播。