Conference: International Symposium on Biomathematics and Ecology, Education and Research-BEER-XVI ASPIRE Advancing Sustainable Partnerships Integrating Research and Education

该奖项将支持于2023年11月3日至5日在弗吉尼亚州里士满的弗吉尼亚联邦大学（https://about.illinoisstate.edu/beer/）举行的会议。生物数学与生态学、教育与研究国际研讨会（BEER）为本科生、研究生和早期职业研究人员，特别是那些来自代表性不足群体的研究人员提供了一个机会，以推进他们在健康和数据科学数学和计算建模领域的研究和指导组合。它将促进在国际和多样化的环境中开展互动和讨论，以启动涉及健康和数据科学的跨学科合作，并激励就读国家科学基金会指定的少数族裔大学的学生和/或来自经济弱势家庭的代表性不足群体的学生以及当地社区大学的学生攻读研究生课程，并更多地了解资助机会。此外，更广泛的生物数学研究人员和教师将通过会议了解该领域的最新发展。BEER旨在为本科生、研究生和早期职业研究人员提供一个机会，以推进他们在健康和数据科学数学和计算建模领域的研究和指导组合。BEER的小组讨论将包括跨学科研究、职业和专业发展，面向早期职业研究人员和教师。会议和讨论在促进领先和年轻研究人员（包括代表性不足的少数群体）在数学、生物学、建模、健康和数据科学等不同专业领域的互动和合作方面是新颖的。今年的主题ASPIRE（推进整合研究和教育的可持续伙伴关系）将通过将来自代表性不足的背景、种族和性别的成员联系起来，同时从应用数学、公共卫生和数据科学领域的学术界和工业界领袖那里获得建议和灵感，来庆祝研究的多样性。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award will support a conference on November 3-5, 2023 to be held in Virginia Commonwealth University Richmond, Virginia (https://about.illinoisstate.edu/beer/). The International Symposium on Biomathematics and Ecology, Education and Research (BEER) provides an opportunity for undergraduate students, graduate students, and early career researchers, especially those from underrepresented groups, to advance their research and mentoring portfolio in the area of mathematical and computational modeling in health and data science. It will facilitate interactions and discussions in an international and diverse environment for initiating interdisciplinary collaboration covering health and data science and motivate students who attend universities designated by NSF as minority institutions and/or students from underrepresented groups who come from economically disadvantaged families as well as from local community colleges to pursue graduate studies and know more about funding opportunities. In addition, the broader community of Biomathematics researchers and teachers will become aware of the latest developments in the area through the proceedings.BEER aims to provide an opportunity for undergraduate students, graduate students, and early career researchers to advance their research and mentoring portfolio in the area of mathematical and computational modeling in health and data science. The panel discussions in BEER will include interdisciplinary research, career and professional development for early career researchers and faculty. The sessions and discussions are novel in promoting interactions and collaborations of leading and young researchers including underrepresented minorities with different areas of expertise at the interface of mathematics, biology, modeling, health, and data science. This year's theme ASPIRE (Advancing Sustainable Partnerships Integrating Research and Education) will celebrate diversity in research by connecting members from underrepresented backgrounds, ethnicity, and genders while obtaining advice and inspiration from leaders in academia and industry at the interface of applied mathematics and public health and data sciences fields.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.