Third SIAM-NSF Workshop on Modeling across the Curriculum

认识到国家科学、技术、工程和数学(STEM)劳动力在数据科学和数据建模领域的需求，工业与应用数学学会(SIAM)将举办为期两天的研讨会，与整个课程的建模有关。这将是SIAM关于整个课程建模的第三次研讨会，并将特别关注：(1)将计算和统计数据模型纳入本科和K-12课程；(2)与商业-工业-政府相关的模型，包括大数据考虑；以及(3)开展教育研究，向STEM社区通报制定和实施这些课程更新的最佳做法和新做法。参加讲习班的大约四十(40)人将包括STEM教育和社会科学研究方法专家、计算和统计数据科学从业人员以及数学科学建模从业人员和系领导。该项目的一个成果将是传播将从讲习班中获得的知识，以帮助改善学生的学习和成功，以促进国家目标，即增加进入美国STEM劳动力队伍的高素质学生的数量。研讨会的与会者将开始研究以下研究问题：(A)为什么应该将数据科学、数据使能科学和数据建模，包括统计和计算数据模型，纳入本科和K-12课程，应该包括什么，应该如何实施？(B)根据第一个问题，在与商业-工业-政府相关的问题上，建模和计算应该发挥什么作用？讲习班的基本目标是：(1)利用参与者的专业知识和多样性来补充和完善这些研究问题；(2)为课程和专业发展材料制定详细的计划，然后在参与者随后的工作中加以实施；(3)促进研究活动，以促进更好地了解与开发、实施和使学生和教职员工参与基于数据的统计和计算建模有关的问题；(4)提供一份经过专业准备的总结会议结论文件；(5)利用SIAM现有的各种机制向更大的数学和统计界传播研讨会的结果和建议。

Recognizing a national science, technology, engineering, and mathematics (STEM) workforce need in the areas of data science and modeling with data, the Society For Industrial and Applied Mathematics (SIAM) will conduct a two-day workshop pertaining to modeling across the curriculum. This will be the third SIAM workshop pertaining to modeling across the curriculum and will have a special focus on: (1) incorporating computational and statistical data models into undergraduate and K-12 curricula; (2) models related to Business-Industry-Government, including big data considerations, and (3) conducting education research to inform the STEM community regarding best and emerging practices for developing and implementing these curricular updates. The approximately forty (40) participants in the workshop will include experts in STEM education and social science research methods and computational and statistical data science practitioners as well as mathematical sciences modeling practitioners and department leaders. An outcome of the project will be to disseminate the knowledge that will be gained from the workshop to help improve student learning and success to foster a national goal of increasing the number of highly qualified students who will enter the United States STEM workforce. Participants at the workshop will begin examining the following research questions: (a) Why should data science, data-enabled science, and modeling with data, including both statistical and computational data models, be incorporated into undergraduate and K-12 curricula, what should be included, and how should this be implemented?, and (b) In line with the first question, what should be the role of modeling and computation with respect to problems related to Business-Industry-Government? Underlying goals of the workshop are to: (i) use the expertise and diversity of participants to supplement and refine these research questions; (ii) develop detailed plans for curricula and professional development materials which will then be implemented in subsequent work of the participants; (iii) promote research activities to foster a better understanding of issues related to developing, implementing, and engaging students and faculty in data-based statistical and computational modeling; (iv) provide a professionally prepared, summary of conclusions document from the meeting; and (v) use the variety of mechanisms available to SIAM to disseminate the workshop findings and recommendations to the larger mathematics and statistics communities.