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

在这个药物发现冒险(ADD)项目中，未来情报研究所 (IFI)和佛罗里达大学(UF)将在 佛罗里达州、夏威夷、马里兰州、俄亥俄州、罗德岛州和南卡罗来纳州将开发小说 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一种方法。关键创新 将成为人工智能分子科学(AIMS)的一个综合学习平台 基于使用可视化和交互技术打开 发现或设计新药所需的科学、数据和计算。由AIMS提供动力， 课程材料将提供将数据科学整合到 化学和生物课程。教材将与相关教育相结合。 标准，如下一代科学标准。该项目将整合 响应文化需求的教学和探究式学习，以促进公平和 多样性。参与的教师将得到持续专业发展的支持。 研讨会和学习社区。该项目的产品将被传播 通过一个公民科学项目，该项目使用AIMS的游戏化版本来参与 让广大公众探索药物发现。项目结束后，IFI将维护 产品，以确保它们继续服务于教师、学生和公众。 该项目的范围属于美国国立卫生研究院国家推进中心的任务范围 翻译科学(NCATS)与“融合人工智能和 将机器学习应用到药物开发过程中。具体目标是：1) 使用以设计为基础的研究框架开发目标、技术和材料 这涉及迭代设计周期，学生和教师的反馈基于 课堂测试；2)利用文化响应之间的互补性 以教学和探究式学习为基础开发内容，适应独特的 不同学生的兴趣、价值观和知识经费；3)培养公民 基于游戏化复杂计算的药物发现科学程序 分子对接和药物筛选等程序。以补充IFI和UF 除了专业知识，该项目还将涉及分子科学方面的研究人员和教育工作者， 来自南方哈佛医学院的数据科学和公民科学的严肃游戏 达科他州立大学和东北大学作为顾问。

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.