Development of data science course and summer bootcamp for ADRD researchers

为 ADRD 研究人员开发数据科学课程和夏季训练营

• 批准号: 10405365
• 负责人: Chunyu Wang
• 金额: $ 8.07万
• 依托单位: RENSSELAER POLYTECHNIC INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10405365
• 关键词: Alzheimer' s disease related dementia; Data Science; Development; Research Personnel

Abstract Given the rising prominence of data science in biomedical and Alzheimer’s research, fueled by recent developments in artificial intelligence (AI), especially deep learning, and high- performance computer hardware; a need has emerged to broadly train the predoctoral students in data science, in both its fundamental principles, and its applications to Alzheimer’s disease and related dementia (ADRD). To this end, we will develop a spring 2022 course with seven modular units in the following areas: 1. Fundamentals and overview (Lai and C. Wang); 2. Deep learning (G. Wang and Lai); 3. Bioinformatics (Bystroff and Fraser); 4. Medical imaging and ADRD (G. Wang and Yan); 5. Systems engineering (Hahn); 6. Multi-omics (Hurley and Fraser); 7. AI and drug discovery (C. Wang, Dordick and Fraser). During the summer of 2022, we will develop a data science bootcamp to provide the students with hands-on experience in data science, featuring a week-long intensive training in R, followed by a coached project to analyze an ADRD dataset, e.g., from AD knowledge portal (https://adknowledgeportal.synapse.org). The course will culminate in a mini-conference where the students present their research results to a panel of domain experts. Both the new course and summer camp will be developed and taught in person and will also be recorded and made available via an online platform to the NIA T32 trainees and graduate students from the Departments of Architecture, Biological Sciences, Biomedical Engineering, Chemical Engineering and Chemistry at Rensselaer. All the training materials will be regularly updated and made freely available to the scientific community through Rensselaer’s web portal and as new training modules through the institution’s online training platform Percipio. Using online quizzes, surveys and in-person interviews, the newly developed course and bootcamp will be evaluated for efficacy, effectiveness and sustainability.

抽象的 鉴于生物医学和阿尔茨海默氏症研究中数据科学的突出性不断提高，这在 人工智能（AI）的最新发展，尤其是深度学习和高知 性能计算机硬件；已经出现了广泛训练前学生的需求 在数据科学方面，其基本原理及其对阿尔茨海默氏病的应用 和相关痴呆（ADRD）。 为此，我们将开发一门2022春季课程，其中有七个模块化单元 区域：1。基本原理和概述（Lai和C. Wang）； 2。深度学习（G. Wang和Lai）； 3。生物信息学（Bystroff和Fraser）； 4。医学成像和Adrd（G. Wang and Yan）； 5。 系统工程（Hahn）； 6。多派（Hurley and Fraser）； 7. AI和药物发现（C. Wang，Dordick和Fraser）。 在2022年夏季，我们将开发一个数据科学训练营来为学生提供 具有数据科学的动手经验，在R中进行了为期一周的强化培训，随后进行 由一个指导的项目分析ADRD数据集，例如从广告知识门户 （https://adknowledgeportal.synapse.org）。该课程将在小型会议中达到高潮 学生将他们的研究结果介绍给域专家小组。 新课程和夏令营都将亲自发展和教授，也将是 通过在线平台录制并提供NIA T32培训和毕业生 来自建筑，生物科学，生物医学工程部门的学生， 伦斯勒的化学工程和化学。所有培训材料将定期 通过Rensselaer的网络更新并免费提供给科学界 门户和作为该机构在线培训的新培训模块 平台Percipio。使用在线测验，调查和面对面访谈，新开发 课程和训练营将进行评估，以确保有效性，有效性和可持续性。