NRT-DESE: Graduate Training in Data-Enabled Research into Human Behavior and its Cognitive and Neural Mechanisms

了解人类行为的认知和神经基础是21世纪世纪科学探索的最基本领域之一。它将影响人类生存的几乎每一个方面，包括商业、教育、医疗保健和国家安全，以及基础科学。这个国家科学基金会研究培训（NRT）奖准备博士学位。罗切斯特大学的学生在计算机科学，大脑和认知科学，神经科学的交叉推进发现。学员将准备利用数据科学的新兴力量，在理解人类行为的神经基础方面取得新的进展。 学员将学习在工业和学术环境中同样舒适地应用这些技能。 通过强调实际应用和基础科学，该计划将培养学员开发与今天相关的研究解决方案。的社会需求，以及开发对未来需求至关重要的研究方法。专注于理解智能的本质，该计划将为学生提供技能，将数据科学和计算机科学的专业知识与收集和分析神经和行为数据的实验方法的深刻理解相结合。该计划将使用数据科学的理论和方法，包括机器学习和统计学，为学生提供理论发展，计算建模和数据分析的基础。该基金会将作为一个概念和方法框架，统一他们对人工智能和生物智能的研究。该计划的实践，以项目为导向的性质将为学生提供从开始到结束概念化，设计和实施大型研究项目所需的能力。这种实习提供了一种新的模式，结构跨学科教育，基于模块化的交叉培训课程，然后是跨学科的实习课程，这可以在许多领域和大学复制。

Understanding the cognitive and neural basis of human behavior is one of the most fundamental areas of scientific inquiry for the 21st Century. It will impact almost every facet of human existence, including commerce, education, health care, and national security, as well as basic science. This National Science Foundation Research Traineeship (NRT) award prepares Ph.D. students at the University of Rochester to advance discoveries at the intersection of computer science, brain and cognitive sciences, and neuroscience. Trainees will be prepared to harness the burgeoning power of data science to make novel inroads into understanding the neural foundations of human behavior. Trainees will learn to be equally comfortable applying these skills in industrial and academic settings. By emphasizing both practical applications and basic science, this program will prepare trainees to develop research solutions relevant to today?s societal needs as well as develop research approaches of critical importance to future needs.Focusing on understanding the nature of intelligence, this program will provide students with skills to blend expertise in data science and computer science with a deep understanding of experimental approaches to collecting and analyzing neural and behavioral data. The program will use theories and methods from data science including machine learning and statistics to provide students with a foundation for theory development, computational modeling, and data analysis. This foundation will serve as a conceptual and methodological framework unifying their studies of artificial and biological intelligence. The hands-on, project-oriented nature of this program will provide students with the capabilities needed to conceptualize, design, and implement large-scale research projects from beginning to end. This traineeship provides a novel model for structuring interdisciplinary education, based on a modular cross-training course followed by an interdisciplinary practicum course, which can be replicated in many fields and universities.