This year's first issue of Topics in Cognitive Science comprises two very distinct topics: one devoted to a new type of papers authored by a special set of scholars, the Fellows of the Cognitive Science Society, the other being a special issue on an exciting topic, namely an approach to modeling the mind based on network science.

Election as Fellow of the Society recognizes a scholar's sustained excellence and impact on the Cognitive Science community. The Fellows Topic was initiated in 2021 by the incoming Executive Editor to provide these scholars an opportunity for showcasing their scientific work and outlining what they consider to be its major contributions to the field. Intended as an on-going and open-ended forum for all Fellows, the topic is launched here with a small, but fine selection of papers. In the preface to the Fellows Topic (Bender, 2022), the editor depicts its multilayered agenda and introduces the two Fellows who inaugurate the topic: Cleotilde ‘Coty’ Gonzalez from Carnegie Mellon University and Steven Sloman from Brown University, renowned for their work on, respectively, how people make decisions (summarized here in Gonzalez, 2022) and how they think (Sloman, 2022). The two not only do a great job outlining the answers that their research provides to fundamental questions in cognitive science, but they also provide a bird's eye view that allows for reflection on the field more broadly.

The topiCS team wishes to take this opportunity to thank Coty and Steve for their wonderful papers; to congratulate all Fellows of the Cognitive Science Society—and especially the newly elected recipients—for their awards and for the outstanding work that earned them these awards, and to extend an invitation to submit to this topic to all Fellows.

The second topic in this issue, edited by Yoed N. Kenett (Technion, Israel Institute of Technology, Haifa) and Thomas Hills (Department of Psychology, University of Warwick, UK), presents network science as a powerful approach to studying cognition. As pointed out in the Editors’ Introduction to their topic (Kenett & Hills, 2022), network science terminology was already used in classic cognitive theory half a century ago, to describe how concepts are stored and organized in semantic memory. Spanning a broad range of themes, the collection of papers recruited for “Networks of the Mind” illustrates how much more network science can help to achieve: from modeling individual information encoding to large-scale processes of culture change, and from investigating a wide range of applications to advancing theory-building in cognitive science more broadly, thereby opening up promising and exciting avenues for future developments.

今年的第一期《认知科学主题》包含两个截然不同的主题：一个专门讨论由一组特殊学者（认知科学学会研究员）撰写的新型论文，另一个是关于一个令人兴奋的主题的特刊，即一种基于网络科学的思维建模方法。

当选为学会会员是对学者持续卓越的表现以及对认知科学界的影响的认可。研究员主题由即将上任的执行编辑于 2021 年发起，旨在为这些学者提供展示其科学工作并概述他们认为对该领域的主要贡献的机会。该主题旨在为所有研究员提供一个持续的、开放式的论坛，并在此推出少量但精选的论文。在研究员主题（Bender， 2022 ）的序言中，编辑描述了其多层议程，并介绍了开创该主题的两位研究员：来自卡内基梅隆大学的 Cleotilde 'Coty' Gonzalez 和来自布朗大学的 Steven Sloman，他们因在，分别是人们如何做出决策（Gonzalez， 2022中总结）和他们如何思考（Sloman，2022）。两人不仅出色地概述了他们的研究为认知科学的基本问题提供的答案，而且还提供了鸟瞰图，使人们能够更广泛地反思该领域。

topicCS团队希望借此机会感谢 Coty 和 Steve 的精彩论文；祝贺认知科学学会的所有会员，特别是新当选的获奖者，祝贺他们获得的奖项以及为他们赢得这些奖项的杰出工作，并向所有会员发出提交该主题的邀请。

本期的第二个主题由 Yoed N. Kenett（以色列海法理工学院以色列理工学院）和 Thomas Hills（英国华威大学心理学系）编辑，提出网络科学是研究认知的强大方法。正如编辑在主题简介中指出的那样（Kenett & Hills，2022），半个世纪前，网络科学术语就已经在经典认知理论中使用，用来描述概念如何在语义记忆中存储和组织。为“心灵网络”招募的论文集涵盖了广泛的主题，说明了网络科学可以帮助实现多少目标：从建模个人信息编码到大规模的文化变革过程，从调查广泛的更广泛地推进认知科学理论建设的应用，从而为未来的发展开辟有希望和令人兴奋的途径。