COnfident DEcisions

实际上，人们做出的每一个决定都带有一种信任感--对决策质量的主观估计。人的自信能力具有巨大的社会、临床和工业影响。例如，能够正确判断自己的自信水平的孩子在学业上表现更好。在老年人中，自信心下降的速度比其他认知功能更快。在临床上，自信在我们对各种与大脑相关的疾病的理解中起着关键作用，包括痴呆、焦虑、成瘾和抑郁。在工业领域，信心帮助人们信任算法和自动化系统，并创造出与智能手机和自动驾驶汽车更自然的互动。虽然在过去的十年里，我们对决策信心的科学理解取得了重大进展，但其机制仍然知之甚少。这种缺乏理解的情况严重阻碍了向教育方案和临床干预等现实世界应用程序的转化。近期的一个主要挑战是通过扩展决策信心的基本知识并明确与技术、干预和临床实践相结合来填补这一空白。代码旨在满足这一需求。我们是一个国际、跨学科和跨部门的培训网络，横跨基于信心的基础和应用研究，并在学术界、产业界、教育和临床之间架起桥梁。通过跨越通常在竖井中工作的域，代码将提供对决策可信度的关键新见解，并为未来重要的基于可信度的应用程序铺平道路。我们将把博士生培养成为未来能够灵活运用知识和技能的跨学科决策信心专家

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