公众科学是一种新兴的基于互联网群体参与及协作的科研众包模式。课题遵循理论基础——机制探索——应用验证的研究思路，通过综合运用情报学、管理科学、数据科学和认知心理学等理论知识进行理论推演和实证研究。主要工作有：（1）群体参与视角下的科研众包模式的理论构建；（2）基于任务示能性理论和计算实验方法探索公众科学项目的任务设计与推送；（3）基于动因挖掘、游戏化设计以及嵌入式培训的手段探索公众科学项目的激励与培训；（4）针对公众科学项目产生的科研数据进行关联数据分析、知识发现及可视化研究；（5）立足于信息资源管理领域，选取“盛宣怀手稿”和“民国老建筑群”作为研究对象，从基于特色馆藏的历史文献资源和基于用户生成内容的图像视频资源两个角度，开展数字人文类公众科学项目的行动研究，迭代式地检验和优化公众科学项目的运作与管理机制。预期研究成果可为我国公众科学项目的开展和实施提供相应的理论支撑和决策依据。

Citizen science is an emerging online participation and collaboration mode for scientific crowdsourcing based on the Internet services. The research aims at exploring the key issues and empirical investigations based on the diverse theoretical foundations, such as information science, management science, data science, cognitive psychology, etc., followed by the approach from the theoretical bases to mechanism design, and finally the application validation. The project will focus on: (1) The theoretical construction and fundamental model of scientific crowdsourcing based on mass participation and collaboration; (2) Task design and recommendation mechanism in citizen science project based on task affordance theory and computational experiment approach; (3) Crowd incentive and training mechanism in citizen science project based on motivation exploration, gamification design, and embedded training; (4) Scientific data curation, knowledge discovery, and visualization based on the scientific data derived from the citizen science project; (5) Action research will be conducted to validate the operation and management mechanism of citizen science projects. The research will select two citizen science projects from the digital humanities fields, namely historical document based case and user-generated image based case, and empirical study will be implemented to carry out the application work from information resources management perspective. Overall, the research findings will yield some academic and practical implications for deploying and implementing citizen science projects in China.