2026数字科学研究方法交流会 2026 Digital Science Research Methods Exchange
围绕数字科学研究设计、数据建模、成果表达和跨学科协作开展方法交流，帮助研究者形成更清晰的课题路径与成果呈现框架。 A methods-focused exchange on research design, data modeling, result presentation, and interdisciplinary collaboration in digital science.
活动导语
本次交流会面向数字科学研究者、课题负责人和技术实践团队，围绕研究问题提出、数据来源判断、方法路线设计和成果表达方式开展交流。
活动要点
- 讨论数字科学研究中的问题定义与边界确认。
- 交流数据建模、算法验证和结果解释的常见做法。
- 梳理研究成果转化为报告、论文和评审材料的路径。
主要内容
会议将结合人工智能、数据科学、网络安全和数字平台治理等方向，说明如何建立清晰的研究假设、评价指标和证据链。参与者可围绕课题设计和成果表达中的具体问题进行交流。
参与对象
高校研究人员、研究机构成员、企业研发人员、青年课题申报人及对数字科学研究方法感兴趣的会员单位代表。
后续安排
活动结束后，协会将整理共性问题和方法建议，用于后续课题申报说明、成果写作工作坊和研究资源建设。
Introduction
This exchange is designed for digital science researchers, project leads, and technical practice teams. It focuses on defining research questions, assessing data sources, designing methodology, and presenting research outcomes.
Key Points
- Discuss problem definition and scope setting in digital science research.
- Exchange practices in data modeling, algorithm validation, and result interpretation.
- Clarify paths from research outcomes to reports, papers, and review materials.
Main Topics
The session will cover artificial intelligence, data science, cybersecurity, and digital platform governance, with attention to research assumptions, evaluation indicators, and evidence chains.
Participants
University researchers, research institute members, enterprise R and D staff, young project applicants, and representatives of member organizations interested in digital science methodology.
Follow-up
After the session, ADSPR will summarize common questions and methodological suggestions for future briefings, writing workshops, and research-resource development.