EDU: Collaborative: Enhancing Education in Genetic Privacy with Integration of Research in Computer Science and Bioinformatics

EDU：协作：通过整合计算机科学和生物信息学研究来加强遗传隐私教育

• 批准号: 1523115
• 负责人: Xintao Wu
• 金额: $ 14.96万
• 依托单位: University of Arkansas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1523115&HistoricalAwards=false
• 关键词: EDU; Collaborative; Enhancing; Education; Genetic

The era of personal genomics, where genetic information is ubiquitously available for research, clinical practice or personal curiosity, is quickly approaching. At the same time, there is a growing concern of genetic privacy and the existing educational resources are focused mostly on legal, regulatory or ethical issues in personal genomics. There is a substantial gap in educating genetic privacy and this project sets the following goals: (1) build the education framework for genetic privacy protection; (2) design genetic privacy course modules to be used in Computer Science or Bioinformatics; and (3) develop hands-on projects on privacy infringement and protection.The project provides a comprehensive set of education strategies in genetic privacy that are integrated with interdisciplinary research in the areas of data privacy and genetics/genomics. The integrative education framework for protecting genetic privacy for both genomic study participants and regular individuals with personal genomes available will utilize differential privacy and Bayesian network based attack modeling techniques. The course modules will include topics on genomic data analysis, genetic privacy breaching techniques, ethics, regulations, laws and pertinent techniques about genetic privacy protection. The project will develop a set of course projects that can be customized for the targeted audience.The project will develop and propagate open standards, technical guidelines, and education opportunities to promote the share and openness of genomic data for social good. A public web portal will serve as a hub for sharing tools, documentation, course materials, and tutorials. Through outreach to high school students and general public, the project expects to increase awareness of issues related to genetic privacy in managing and interpreting personal genomes.

个人基因组学的时代正在迅速到来，在这个时代，遗传信息无处不在，可用于研究、临床实践或个人好奇心。与此同时，人们对遗传隐私的关注日益增加，现有的教育资源主要集中在个人基因组学的法律的、监管或伦理问题上。本项目的目标是：（1）建立遗传隐私保护的教育框架;（2）设计适用于计算机科学或生物信息学的遗传隐私课程模块;（3）设计适用于计算机科学或生物信息学的遗传隐私课程模块;（3）发展双手-有关侵犯私隐及保护私隐的计划。该计划提供一套全面的遗传私隐教育策略，数据隐私和遗传学/基因组学领域的跨学科研究。用于保护基因组研究参与者和具有个人基因组的普通个体的遗传隐私的综合教育框架将利用差分隐私和基于贝叶斯网络的攻击建模技术。课程模块将包括基因组数据分析，基因隐私侵犯技术，道德，法规，法律和有关基因隐私保护的相关技术的主题。该项目将开发一套可针对目标受众定制的课程项目，开发和传播开放标准、技术指南和教育机会，以促进基因组数据的共享和开放，造福社会。一个公共门户网站将作为共享工具、文档、课程材料和教程的中心。通过向高中生和公众进行宣传，该项目预计将提高人们对管理和解释个人基因组中与遗传隐私有关的问题的认识。

项目成果

Achieving Differential Privacy and Fairness in Logistic Regression

• DOI: 10.1145/3308560.3317584
• 发表时间: 2019-05
• 期刊: Companion Proceedings of The 2019 World Wide Web Conference
• 作者: Depeng Xu;Shuhan Yuan;Xintao Wu