COnfident DEcisions

事实上，人们所做的每一个决定都伴随着一种自信感——一种对决策质量的主观估计。人类的自信能力具有巨大的社会、临床和工业影响。例如，能够正确判断自己自信程度的孩子在学业上表现得更好。在老年人中，信心比其他认知功能下降得更快。在临床上，信心在我们理解各种大脑相关疾病方面起着关键作用，包括痴呆、焦虑、成瘾和抑郁。在工业领域，信心有助于人们信任算法和自动化系统，并与智能手机和自动驾驶汽车建立更自然的互动。虽然在过去十年中，我们对决策信心的科学理解取得了重大进展，但对其机制的了解仍然很少。这种理解的缺乏严重阻碍了将其转化为现实世界的应用，例如教育计划和临床干预措施。在不久的将来，一个主要的挑战是填补这一空白，方法是扩展关于决策信心的基础知识，明确地将其与技术、干预措施和临床实践联系起来。CODE旨在解决这一需求。我们是一个国际性、跨学科和跨部门的培训网络，涵盖基础和应用基于信心的研究，是学术界、工业界、教育界和诊所之间的桥梁。通过跨越通常在竖井中工作的领域，CODE将为决策信心提供关键的新见解，并为未来重要的基于信心的应用程序铺平道路。我们将培养博士生成为未来的跨学科决策信心专家，他们可以灵活地运用他们的知识和技能

Virtually every decision people make comes with a sense of confidence - a subjective estimate of decision quality. The human capacity for confidence has tremendous social, clinical, and industrial impact. For example, children who can correctly judge their own level of confidence perform better academically. In the elderly, confidence declines faster than other cognitive functions. Clinically, confidence plays a key role in our understanding of various brain-related disorders, including dementia, anxiety, addiction, and depression. In industry, confidence helps people trust algorithms and automated systems, and creates more natural interactions with smartphones and self-driving cars. While the past decade has seen major advances in our scientific understanding of decision confidence, its mechanisms remain poorly understood. This lack of understanding significantly hampers the translation to real-world applications, such as educational programmes and clinical interventions. A major challenge for the immediate future is to fill this gap, by expanding fundamental knowledge on decision confidence and explicitly bridging to technologies, interventions, and clinical practice. CODE aims to address this need. We are an international, interdisciplinary and intersectoral training network that spans fundamental and applied confidence-based research, and bridges between academia, industry, education, and the clinic. By reaching across domains that usually work in silos, CODE will provide critical new insights into decision confidence, and pave the way for important future confidence-based applications. We will train doctoral students to become the interdisciplinary decision confidence experts of the future, who can flexibly apply their knowledge and skills