Collaborations are essential in research, especially in answering increasingly complex questions that require integrating knowledge from different disciplines and that engage multiple stakeholders. Fostering such collaboration between newcomers and established researchers helps keep scientific communities alive while opening the way to innovation. But this is a challenge for scientific communities, especially as little is known about the onset of such collaborations. Prior social network research suggests that face-to-face interaction at scientific events as well as both network-driven selection patterns (reciprocity and transitivity) and patterns of active selection of specific others (homophily / heterophily) may be important. Learning science research implies, moreover, that selecting appropriate collaboration partners may require group awareness. In a field study at two scientific events on technology-enhanced learning (Alpine Rendez-Vous 2011 and 2013) including N = 5736 relations between 287 researchers, we investigated how researchers selected future collaboration partners, looking specifically at the role of career level, disciplinary background, and selection patterns. Face-to-face contact was measured using RFID devices. Additionally, a group awareness intervention was experimentally varied. Data was analyzed using RSiena and meta-analyses. The results showed that transitivity, reciprocity and contact duration are relevant for the identification of new potential collaboration partners. PhD students were less often chosen as new potential collaboration partners, and researchers with a background in Information Technology selected fewer new potential collaboration partners. However, group awareness support balanced this disciplinary difference. Theoretical, methodological, and practical implications of these findings are discussed.

合作在研究中是必不可少的，尤其是在回答越来越复杂的问题时，这些问题需要整合来自不同学科的知识并涉及多个利益相关者。促进新人和成熟研究人员之间的这种合作有助于保持科学界的活力，同时开辟创新之路。但这对科学界来说是一个挑战，特别是因为对此类合作的开始知之甚少。先前的社交网络研究表明，科学活动中的面对面互动以及网络驱动的选择模式（互惠和传递）和特定其他人的主动选择模式（同质性/异质性）可能很重要。此外，学习科学研究意味着，选择合适的合作伙伴可能需要群体意识。在两项关于技术增强学习的科学活动（Alpine Rendez-Vous 2011 和 2013）的实地研究中，包括N= 287 名研究人员之间的 5736 个关系，我们调查了研究人员如何选择未来的合作伙伴，特别关注职业水平、学科背景和选择模式的作用。使用 RFID 设备测量面对面的接触。此外，群体意识干预在实验上是不同的。使用 RSiena 和荟萃分析分析数据。结果表明，传递性、互惠性和联系持续时间与识别新的潜在合作伙伴有关。博士生很少被选为新的潜在合作伙伴，具有信息技术背景的研究人员选择的新潜在合作伙伴也较少。然而，群体意识支持平衡了这种学科差异。理论的、方法论的、