REU Site: Mathematical Modeling in Environmental, Biological and Other Sciences

环境、生物和其他科学中的数学建模(MMEBS)课程是由白求恩-库克曼大学(B-CU)主办的为期八周的本科生研究体验课程。该计划从代表性不足的少数族裔(URM)、妇女以及在本国机构中STEM和研究机会有限的个人中大量招聘人员。该项目的教师在指导这类学生、帮助他们开发研究项目以及指导这些研究项目方面拥有丰富的经验。该REU网站的总体目标是促进本科生尽早参与研究，让学生接触到跨学科建模和数据分析资源，通过在协作研究环境中的实践经验培养主动学习，并激励学生追求高级STEM教育和研究职业。该计划还通过密集的合作和互动，促进参与计划的学生和教职员工之间的长期指导关系。该计划寻找至少80%的URM参与者，以增加未来STEM劳动力的多样性。以数学建模为主要理念，由科学、数学和计算机科学学院组成的多学科团队将为参与计划的学生提供包括数学、化学、计算机科学、生物和环境科学在内的多科学学科数据分析方面的研究性学习经验。授课内容包括建模入门；数据分析软件培训；LaTeX文件准备培训；研究论文写作和海报设计；Excel建模(电子表格建模)教程；以及从事数学、生物、化学、环境科学和计算机科学等不同领域的前沿研究项目。所有学生将以小组形式工作。将鼓励学生和教职员工在这一年继续工作，并向专业期刊提交他们的研究论文。学生们也被鼓励在全年的会议上展示他们的工作。参与者和相关教职员工将保持联系，以形成研究和专业网络，这些网络将在项目结束后保留。参与者将为STEM领域的研究生学习和各种将对我们的社会产生积极影响的职业做好准备。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Mathematical Modeling in Environmental, Biological and Other Sciences (MMEBS) Program is an eight-week research experience for undergraduate students hosted by Bethune-Cookman University (B-CU). The Program recruits heavily from underrepresented minorities (URMs), women, and those individuals with limited STEM and research opportunities in their home institutions. The Program faculty has extensive experiences in mentoring these types of students, in helping them develop research projects, and in guiding these research projects. The overall objectives of this REU Site are to promote early engagement of undergraduate students in research, to expose students to interdisciplinary modeling and data analytic resources, to foster active learning through hands-on experiences in a collaborative research environment, and to inspire students to pursue advanced STEM education and research careers. The Program also fosters long-term mentoring relationships between participating students and faculty through intensive collaboration and interaction. The Program looks for at least 80% of URM participants to increase diversity in future STEM workforce. With mathematical modeling as the main precept, a multidisciplinary team of science, mathematics, and computer science faculty will provide to participating students research-learning experiences in the data analytic aspects of multiple scientific disciplines including mathematics, chemistry, computer science, biological and environmental sciences. Instructions include introduction to modeling; data analytic software training; LaTeX document preparation training; research paper writing and poster design; Excel modeling (spreadsheet modeling) tutorial; and working on cutting-edge research projects in different areas on mathematics, biology, chemistry, environmental science and computer science. Students will work in groups. Students and faculty will be encouraged to continue their work during the year and submit their research papers to professional journals. Students are also encouraged to present their work at conferences throughout the year. Participants and involved faculty will stay connected to form research and professional networks that will remain after the Program. The participants will be well prepared for graduate studies in STEM fields and various careers that will have positive impact on our society.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.