REU Site: DIMACS REU in Algorithms from Foundations to Applications

该项目建立在新泽西州立大学罗格斯大学离散数学和理论计算机科学中心DIMACS的长期本科生研究经验（REU）项目的基础上。该计划提供了一个丰富的科学和文化经验，每年十名优秀的本科生从几个罗格斯大学部门和DIMACS工业合作伙伴的教师指导。该项目的科学目标主要集中在算法和复杂性上，强调DIMACS在理论计算机科学方面的传统优势，应用于包括社交网络，DNA分析，预测市场等在内的环境。学生研究涵盖理论和应用，展示大数据分析，隐私和网络安全，生物信息学，机器学习以及流媒体和隐私算法分析的算法。除了涉及来自不同领域甚至不同学科的导师外，该计划还与附近的行业合作伙伴整合活动，招募研究生担任助理导师，并与罗格斯大学的其他本科研究计划相结合，通过与欧洲资助的CoSP计划合作，增加文化多样性和国际元素，该计划由查尔斯大学应用数学系领导，布拉格。该计划使学生沉浸在一个独特的多学科环境中，对算法的设计，分析和使用进行研究。精心策划的时间表为学生提供丰富的研究经验，将一对一的指导与研讨会，研讨会，实地考察和其他活动相结合，以获得广泛而丰富的科学经验。该方案特别努力通过与少数群体服务机构的联系以及在相关邮件列表和网站上的公告，招募在计算机科学领域代表性不足的团体成员以及来自本科研究机会有限的机构的学生。除了导致科学论文和会谈，新的合作开发与导师，研究生助理导师和项目协调员。研究生助理导师和博士后的参与培养了初级研究人员的指导技能，同时为REU参与者提供直接观察研究生生活的能力。该计划的一个重要目标是建立对研究生院的认识以及研究生职业和研究的选择范围。通过这种方式，该计划告知学生关于继续教育和未来职业的选择，并为他们提供追求这些选择的基础和信心。该奖项反映了NSF的法定使命，并通过使用基金会的智力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 project builds on the long-running Research Experiences for Undergraduates (REU) program at DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science at Rutgers, the State University of New Jersey. The program provides a rich scientific and cultural experience to ten outstanding undergraduates each year mentored by faculty from several Rutgers departments and DIMACS industrial partners. The scientific goals of the project are mainly focused on algorithms and complexity, emphasizing the traditional strengths of DIMACS in theoretical computer science, applied in settings that include social networks, DNA analysis, prediction markets, and others. Student research spans both theory and applications showcasing algorithms in big data analytics, privacy and cybersecurity, bioinformatics, machine learning, and analysis of algorithms for streaming and privacy. In addition to involving mentors from different areas and even different disciplines, the program integrates activities with nearby industry partners, it recruits graduate students who act as assistant mentors, and combines with other Rutgers undergraduate research programs to add cultural diversity and an international element, through partnership with the European-funded CoSP program which is led by the Department of Applied Mathematics in Charles University, Prague.The program immerses students in a unique multidisciplinary environment for conducting research on the design, analysis, and use of algorithms. A carefully planned schedule offers students a rich research experience that combines one-to-one mentoring with seminars, workshops, field trips, and other activities for a broad and enriching scientific experience. The program makes a special effort to recruit members of groups underrepresented in computer science as well as students from institutions with limited opportunity for undergraduate research, through contacts with minority-serving institutions and announcements to relevant mailing lists and websites. In addition to leading to scientific papers and talks, new collaborations are developed with mentors, graduate student assistant mentors and program coordinators. Involving graduate student assistant mentors and postdocs develops the mentoring skills of junior researchers, while offering the REU participants the ability to directly observe graduate student life. An important goal of this program is to build awareness of graduate school and the breadth of options for post-graduate careers and research. In this way, the program informs the students on choices about further education and future careers, and gives them the foundation and confidence to pursue these choices.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.