Adventures in Drug Discovery: Integrating Data Science into the Science Curriculum

药物发现历险记：将数据科学融入科学课程

• 批准号: 10664792
• 负责人: Dylan Bulseco
• 金额: $ 27.12万
• 依托单位: INSTITUTE FOR FUTURE INTELLIGENCE, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-17 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10664792
• 关键词: Acceleration; Address; Artificial Intelligence; Biology; Biomedical Research; Chemistry; Collaborations; Complex; Data; Data Science; Development; Docking; Drug Costs; Drug Screening; Educational Curriculum; Educational Technology; Educational process of instructing; Educational workshop; Engineering; Equity; Ethics; Feedback; Florida; Funding; Future; General Population; Hawaii; Intelligence; Knowledge; Learning; Machine Learning; Maryland; Methods; Mission; Molecular; National Center for Advancing Translational Sciences; Next Generation Science Standards; Ohio; Procedures; Process; Rare Diseases; Research; Research Personnel; Rhode Island; Schools; Science; South Carolina; South Dakota; Students; Technology; Testing; United States National Institutes of Health; Universities; Visual; academic standard; citizen science; cost; data integration; design; diversity and equity; drug development; drug discovery; falls; frontier; high school; improved; innovation; inquiry-based learning; interest; iterative design; learning community; medical schools; novel; novel therapeutics; programs; skills; teacher

In this Adventures in Drug Discovery (ADD) project, the Institute for Future Intelligence (IFI) and the University of Florida (UF) will collaborate with diverse high schools in Florida, Hawaii, Maryland, Ohio, Rhode Island, and South Carolina to develop novel educational technologies and curriculum materials to help teachers and students teach and learn data science as a method for accelerating drug discovery. The key innovation will be Artificial Intelligence for Molecular Science (AIMS), an integrated learning platform based on using visual and interactive technologies to open the “opaque box” of the science, data, and computation needed to find or design new drugs. Powered by AIMS, the curriculum materials will provide practical means to integrate data science into chemistry and biology courses. The materials will be aligned with related education standards such as the Next Generation Science Standards. The project will integrate culturally responsive teaching and inquiry‐based learning to promote equity and diversity. Participating teachers will be supported by ongoing professional development workshops and learning communities. The products of the project will be disseminated through a citizen science program that uses a gamified version of AIMS to engage the general public to explore drug discovery. After the project ends, IFI will maintain the products to ensure that they continue to serve teachers, students, and the public. The scope of this project falls within the mission of NIH's National Center for Advancing Translational Sciences (NCATS) related to “incorporating artificial intelligence and machine learning into the drug development process.” The Specific Aims are: 1) To develop the AIMS technologies and materials using a design‐based research framework that involves iterative design cycles informed by student and teacher feedback based on classroom tests; 2) To leverage the complementarity between culturally responsive teaching and inquiry‐based learning to develop content that accommodates the unique interests, values, and funds of knowledge of diverse students; and 3) To create a citizen science program for drug discovery based on gamifying complex computational procedures such as molecular docking and drug screening. To supplement IFI and UF's expertise, the project will also involve researchers and educators in molecular science, data science, and serious games for citizen science from Harvard Medical School, South Dakota State University, and Northeastern University as consultants.

在这个药物发现冒险（ADD）项目中，未来智能研究所 (IFI)和佛罗里达大学（UF）将与不同的高中合作， 佛罗里达、夏威夷、马里兰州、俄亥俄州、罗得岛和南卡罗来纳州开发小说 帮助教师和学生教学的教育技术和课程材料 并学习数据科学作为加速药物发现的方法。关键的创新 将是分子科学人工智能（AIMS），一个综合学习平台 基于使用视觉和交互技术打开的“不透明盒子” 科学，数据和计算需要找到或设计新的药物。由AIMS提供支持， 课程材料将提供将数据科学融入 化学和生物课程。这些材料将与相关教育保持一致 下一代科学标准等。该项目将整合 文化适应性教学和基于探究的学习，以促进公平， 多样性参与的教师将得到持续的专业发展支持 研讨会和学习社区。将传播该项目的产品， 通过一个公民科学计划，该计划使用AIMS的游戏化版本， 公众探索药物发现。在项目结束后，IFI将维持 产品，以确保他们继续服务于教师，学生和公众。 该项目的范围福尔斯属于美国国立卫生研究院国家促进发展中心的使命。 翻译科学（NCATS）与“将人工智能和 机器学习进入药物开发过程。”具体目标是：（1） 使用基于设计的研究框架开发AIMS技术和材料 这涉及到迭代设计周期，由学生和教师的反馈， 课堂测试; 2）利用文化反应之间的互补性 教学和探究式学习，以开发适合独特的 兴趣，价值观和不同学生的知识基金; 3）创造一个公民 基于游戏化复杂计算的药物发现科学计划 如分子对接和药物筛选。补充IFI和UF 专业知识，该项目还将涉及分子科学， 数据科学，以及来自南哈佛医学院的公民科学严肃游戏 达科他州立大学和东北大学担任顾问。