MII: Holistic Model for Minority Education and Research

Deidre W. Evans，首席研究员，佛罗里达农工大学该项目旨在通过加强计算机与信息科学系的研究基础设施，增加攻读计算机科学硕士和博士学位的少数族裔学生的数量。整体方法反映了对提高学生体验的各个方面的承诺，这些方面对培养有能力攻读计算机研究生学位的高素质毕业生的能力有影响：强大的学术课程和教学、职业指导、多样化的教师研究、指导学生研究以及用于教育和研究的计算资源。学生成功保证部分将研究生学习作为有能力的学生的理想和可实现的选择，并通过研讨会，指导，建议和研究或教学支持的有偿职位为学生提供支持。研究生产力提升部分旨在通过跨学科和机构的战略合作，发展四个强大的、可持续的研究项目：软件工程（基于规范的测试）；安全和信息保障（入侵检测、隐私和问责制）；智能计算（HCI辅助技术，基于知识/代理的计算和信息学）；科学计算（用于科学研究和计算的并行和高性能计算架构和算法，例如纳米技术）。计算机设施增强部分将升级用于教学和研究的计算资源，包括建立一个安全和机器人实验室。这个项目的更广泛影响包括少数民族更多地参与计算机研究生学习和传播吸引和培养学生参加研究生学习的模式。

MII: Holistic Model for Minority Education and Research (HOMMER)Deidre W. Evans, Principal Investigator, Florida A&M UniversityThis project seeks to increase the number of minority students pursuing M.S. and Ph.D. degrees in computer science by enhancing the research infrastructure of the Department of Computer and Information Sciences. The holistic approach reflects a commitment to enhancing all aspects of the student experience that have an impact on the ability to produce highly qualified graduates capable of pursuing graduate degrees in computing: strong academic programs and instruction, career mentoring, diverse faculty research, mentored student research, and computing resources for education and research. The Student Success Assurance component promotes graduate study as a desirable and achievable option for capable students, and it supports students through workshops, mentoring, advisement, and paid positions for research or instructional support. The Research Productivity Enhancement component seeks to evolve four strong, sustainable research programs through strategic collaboration across disciplines and institutions: Software Engineering (specification-based testing); Security and Information Assurance (intrusion detection, privacy and accountability); Intelligent Computing (HCI assistive technology, knowledge/agent based computing and informatics); Scientific Computing (parallel and high performance computing architectures and algorithms for scientific research and computing, e.g., nano-technology). The Computer Facilities Enhancement component will upgrade computing resources for instruction and research, including establishing a Security and Robotics Laboratory. The broader impacts of this project include increased participation of minorities in graduate study in computing and the dissemination of a model for attracting and preparing students for graduate study.