International Collaborative Workshop on Modeling Dynamics, Statistical Inference, and Prediction of Tropical Infectious diseases in India

该项目的目标是支持美国教师，研究生和本科生参加第一次国际研讨会“印度-美国传染病建模动态，统计推断和预测研讨会（MoDSIP-ID）”。该研讨会将于2018年8月12日至14日在印度安得拉邦阿南塔布尔区普塔帕尔蒂、普拉山蒂、尼拉亚姆、维迪亚吉里的Sri Sathya Sai高等教育学院（SSSIHL）举行。该研讨会部分由NSF数学生物学计划支持，重点是发展中国家公共卫生问题的数学建模和分析，由美国和印度研究人员联合组织。该奖项为美国教师，研究生和本科生提供支持，前往印度，参加并出席本次研讨会，以及培训和指导参与者。2018年MoDSIP研讨会的重点是培训本科生和研究生以及数学生物学以外的教师分析和计算技术（包括确定性和随机建模理论，统计推断，不确定性量化方法，数据挖掘工具和高性能计算技术）。研讨会将提供一个平台，鼓励讨论，确定新的联系，促进新的国际合作，推进印度传染性热带疾病在多个生物尺度上的数学建模。MoDSIP-ID是年度系列研讨会中的第一个研讨会，旨在促进国际（美国和印度）科学合作，并将数学，统计，生态学，流行病学，公共卫生和计算科学的学生和研究人员聚集在一起。本次活动将确定热带传染病系统在不同尺度上（从个人到生态系统）的人口动态之间的联系，并提供机会讨论和分享一些成功的数学，计算和统计方法来模拟这些系统和数据。MoDSIP将接待来自美国，印度和其他发展中国家的约80-100名参与者。该讲习班将邀请妇女和代表性不足的少数群体参加，并鼓励她们考虑从事连接数学和生物学的职业。MoDSIP将涵盖三个不同科学维度的主题：数学（随机过程，动力系统，参数估计，计算建模和不确定性分析），跨学科（生态学，流行病学，传染病）和教育（研究方法，指导，专业精神，团队建设）通过理论和实践经验。跨学科研讨会计划将包括传染病的教育培训和研究方法;计算实验室专注于收集经验信息，统计数据分析和建模方面的挑战，以及传染病的模拟。所有参与者将参与教师和研究生的互动讲座，沿着使用R，Matlab，Python和Netlogo的实践实验室课程。更多信息可以在https://mcmsc.asu.edu/和http://sssihl.edu.in/网站上找到。研讨会的成果和参与者的研究将在《生物数学快报》的特刊中进行传播。该奖项反映了NSF的法定使命，并被认为值得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来支持。

The goal of the project is to support the participation of US faculty, graduate and undergraduate students in the first international workshop "Indo - U.S. Workshop on Modeling Dynamics, Statistical Inference and Prediction of Infectious diseases (MoDSIP-ID)". The workshop will be held at the Sri Sathya Sai Institute of Higher Learning (SSSIHL), Vidya Giri, Prashanti, Nilayam, Puttaparthi, Anantapur District, Andhra Pradesh, India from August 12-14, 2018. This workshop, supported in part by the NSF Mathematical Biology program, focuses on mathematical modeling and analysis of public health problems from the developing world and is jointly organized by US and Inidan researchers. The award provides support for US faculty, graduate and undergraduate students to travel to India, participate and present at this workshop and as well as to train and mentor participants. The focus of 2018 MoDSIP workshop is on training undergraduate and graduate students as well as faculty outside mathematical biology on analytical and computational techniques (including deterministic and stochastic modeling theory, statistical inference, uncertainty quantification methods, data mining tools and high performance computing techniques). The workshop will provide a platform to encourage discussion, identify new linkages and foster new international collaborations, advancing mathematical modeling of infectious tropical diseases in India across multiple biological scales. MoDSIP-ID is the first workshop in an annual series to promote international (US and India) scientific collaborations and bring together students and researchers working at the interface of mathematics, statistics, ecology, epidemiology, public health and computational science. This event will identify linkages among population dynamics of tropical infectious disease systems at different scales, from individuals to ecosystems, and provide the opportunity to discuss and share some of the successful mathematical, computational, and statistical approaches in modeling these systems and data. MoDSIP will host approximately 80-100 participants from USA, India and other developing countries. This workshop will invite participation from women and underrepresented minorities and encourage them to consider pursuing careers that bridge mathematics and biology. MoDSIP will cover topics in three different scientific dimensions: mathematical (stochastic processes, dynamical systems, parameter estimation, computational modeling, and uncertainty analysis), interdisciplinary (ecology, epidemiology, infectious diseases), and educational (research methodology, mentoring, professionalism, team building) via theoretical and hands-on experience. The interdisciplinary workshop program will include educational training and research methodology for infectious diseases; computational labs focusing on challenges in gathering empirical information, statistical data analysis and, modeling, and simulations of infectious diseases. All participants will engage in interactive lectures from faculty and graduate students along with hands-on lab sessions using R, Matlab, Python, and Netlogo. More information can be found at the https://mcmsc.asu.edu/ and http://sssihl.edu.in/ websites. Dissemination of workshop results and participant research will occur in a Special Issue of the Letters in Biomathematics.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.