洪煜 | Yu Hong, Ph.D.
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    • 中小学科学教育政策文本分析
    • 学者流动事件智能抽取系统
    • 教育学术期刊前沿智能监测系统
  • 学术成果 / Publications
  • 汇报演示 / Presentations
  • 详细简历 / CV
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  <div class="profile-name">洪煜 (Yu Hong, Ph.D.)</div>
  <div class="profile-title">副研究员 · 北京师范大学高等教育学博士 · 探索 AI 赋能教育实证与政策计量</div>
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    <span>🏛️ 中央财经大学发展规划处</span> &nbsp;|&nbsp; 
    <span>📊 教育部学校规划建设发展中心统计信息化专家</span> &nbsp;|&nbsp; 
    <span>🎓 中国教育学会教育经济学分会理事</span>
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    <span class="badge-tag badge-teal">政策量化计算</span>
    <span class="badge-tag badge-blue">自然语言处理与信息抽取</span>
    <span class="badge-tag badge-purple">教育微观计量建模</span>
    <span class="badge-tag badge-gray">新文科实证范式</span>
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    <a href="cv.qmd" class="btn-academic btn-academic-outline">
      <i class="bi bi-file-earmark-person"></i> 详细简历 (CV)
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💡 欢迎访问:本站系统汇总我在高等教育政策评估、教育微观统计计量以及大模型赋能社会科学计算实证研究(AI-Augmented Research)方面的科研课题、代表性成果与开源探索。

📌 近期代表性项目 查看全部课题与系统 →

<span class="badge-tag badge-teal">教育政策量化</span>
<span class="badge-tag badge-gray">在研课题</span>
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  <a href="projects/science-education/index.qmd">中小学科学与科技教育政策文本量化分析(1994–2024)</a>
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系统梳理我国 30 年中小学科学教育政策工具演变脉络。切分 719 个单政策工具原子行动单元,运用 McDonnell & Elmore 经典治理理论开展分层编码,构建物理级原文逐字保真锁,并基于双专家背对背双盲标注(Krippendorff's $\alpha \ge 0.80$)确立可复现学术基准集。
<a href="projects/science-education/methodology.qmd" class="link-action">📘 方法论说明</a>
<a href="projects/science-education/index.qmd" class="link-action">👉 进入专题站 →</a>
<span class="badge-tag badge-blue">计算社会科学</span>
<span class="badge-tag badge-gray">百万级语料</span>
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  <a href="projects/talent-mobility/index.qmd">面向百万级多源语料的高并发学者流动事件智能抽取系统</a>
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针对 156.4 万条全球跨国流动叙事文本,研发工业级两阶段异步流式抽取架构。通过 75 协程轻量预筛选实现 93.3% 阴性样本极速过滤,以 30 协程深层抽取结构化事件(吞吐达 95~115 条/秒),强制执行物理级原文逐字校验锁,高质量提取并归档 20.4 万条学者跨境流动事件。
<a href="projects/talent-mobility/index.qmd" class="link-action">🌐 系统架构与指标</a>
<a href="projects/talent-mobility/index.qmd" class="link-action">👉 进入专题站 →</a>
<span class="badge-tag badge-purple">文献情报雷达</span>
<span class="badge-tag badge-gray">100种核心期刊</span>
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  <a href="projects/journal-monitor/index.qmd">教育学术期刊前沿智能监测与文献计量系统 (EduJournalMonitor)</a>
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打破中英文数据库壁垒,全域覆盖 100 种中外顶级教育学学术期刊(69 种中文 CSSCI/核心 + 31 种国际 SSCI)。通过 CNKI 与 OpenAlex 双源 API 实时同步文献元数据,依托 LangGraph 多智能体协同实现创新性评级、学科本体映射与前沿选题雷达动态生成。
<a href="projects/journal-monitor/index.qmd" class="link-action">🔍 期刊清单与工作流</a>
<a href="projects/journal-monitor/index.qmd" class="link-action">👉 进入专题站 →</a>

💡 核心研究方向与学术技术实力 查看个人完整履历 →

🏛️ 高等教育治理与政策量化评估
本硕博均毕业于北京师范大学,曾赴丹麦奥尔堡大学 PBL 中心访学。主持完成全国教育科学规划教育部青年专项课题(鉴定等级良好),出版学术专著 1 部。长期深入参与中央教育工作领导小组秘书组、教育部综合改革司、基础教育司多项国家级政策咨询,擅长跨时期宏观教育政策变迁与资源配置机制研究。
🤖 计算社会科学与大模型应用工程
深度融合大语言模型(LLM)与计算社会科学研究范式。精通基于 Python/asyncio 的高并发异步流式抽取架构、LangGraph 多智能体工作流协同、向量检索/RAG 技术以及物理防幻觉校验算法(`validate_quote`),实现百万级非结构化社会科学文本向学术可验证基准数据集的稳健转化。
📊 教育统计调查与微观计量建模
担任教育部学校规划建设发展中心统计信息化专家,兼任中国教育学会教育经济学分会理事。精通 Python、R、Stata、SPSS 等统计工具,擅长全国教育事业统计数据治理、教育现代化调查问卷分析、准实验微观计量分析(如反事实因果推断)以及学术合作网络分析(SNA)。

📚 代表性学术发表与专著 查看论文详情与全文链接 →

  • 学术专著:洪煜. 《中国普通高校学术资源配置现状与内在机制的实证研究》. 北京: 经济科学出版社, 2022.
  • SSCI Q2 顶刊:Bai, H., Li, M., & Hong, Y.* (2024). Grandparental childcare and maternal labor supply in Chinese families with young children: Evidence from the China Family Panel Studies. International Sociology, 39(4), 486–509. (SSCI Q2,担任第一通讯作者与主要计量建模者)
  • 中文 CSSCI 核心代表作:在《教育研究》《清华大学教育研究》《中国高教研究》《江苏高教》《国家教育行政学院学报》等期刊发表十余篇学术论文。

💡 Welcome: This academic portal highlights my research portfolio bridging higher education policy evaluation, educational micro-econometrics, and AI-augmented computational social science methodologies.

📌 Recent Selected Projects View All Projects & Systems →

<span class="badge-tag badge-teal">Policy Text Analytics</span>
<span class="badge-tag badge-gray">Active</span>
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  <a href="projects/science-education/index.qmd">Textual Analysis of K-12 Science and Technology Education Policies (1994–2024)</a>
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Investigating 30-year policy instrument transitions in China's primary and secondary science education. Incorporating 719 atomic action clauses, theoretical coding via the McDonnell & Elmore framework, physical verbatim quotation locks, and double-blind inter-rater reliability certification (Krippendorff's $\alpha \ge 0.80$).
<a href="projects/science-education/methodology.qmd" class="link-action">📘 Methodology Framework</a>
<a href="projects/science-education/index.qmd" class="link-action">👉 Explore Project →</a>
<span class="badge-tag badge-blue">Computational Social Science</span>
<span class="badge-tag badge-gray">1.56M Texts</span>
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  <a href="projects/talent-mobility/index.qmd">High-Concurrency Information Extraction System for Scholar Mobility</a>
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An industrial-grade asynchronous streaming extraction system processing 1.56 million global mobility texts. Leveraging 75-coroutine lightweight pre-filtering (93.3% negative reduction) and 30-coroutine structured extraction (95–115 docs/sec), with physical verbatim quotation verification, extracting 204,323 validated scholar mobility events.
<a href="projects/talent-mobility/index.qmd" class="link-action">🌐 Architecture & Metrics</a>
<a href="projects/talent-mobility/index.qmd" class="link-action">👉 Explore System →</a>
<span class="badge-tag badge-purple">Bibliometrics Radar</span>
<span class="badge-tag badge-gray">100 Journals</span>
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  <a href="projects/journal-monitor/index.qmd">EduJournalMonitor: Intelligent Journal Tracking & Bibliometrics System</a>
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Bridging domestic and international literature by tracking 100 premier education journals (69 CSSCI & 31 SSCI). Real-time metadata ingestion via CNKI and OpenAlex APIs, orchestrated by LangGraph multi-agent state machines for automated topic trend forecasting, methodological rating, and structured research wikis.
<a href="projects/journal-monitor/index.qmd" class="link-action">🔍 Monitored Journals</a>
<a href="projects/journal-monitor/index.qmd" class="link-action">👉 Explore System →</a>

💡 Research Pillars & Technical Strengths View Full Curriculum Vitae →

🏛️ Higher Education Policy & Governance
Ph.D., M.Ed., and B.Ed. from Beijing Normal University; visiting scholar at Aalborg University, Denmark. Principal Investigator of a National Educational Science Planning youth project (MoE). Core contributor to strategic policy advisory for the General Office of the Central Educational Work Leading Group and Ministry of Education.
🤖 Computational Methods & LLM Engineering
Pioneering AI-augmented workflows in empirical research. Proficient in Python/asyncio high-throughput streaming pipelines, LangGraph multi-agent architectures, RAG systems, and deterministic quote-grounding algorithms (`validate_quote`) that transform massive unstructured text into auditable scholarly benchmarks.
📊 Educational Statistics & Applied Econometrics
Expert in Statistical Informatics at the National Center for Schooling Development Programme (MoE) and Council Member of the Educational Economics Branch (CSE). Skilled in Python, R, Stata, and SPSS for micro-econometric modeling, quasi-experimental causal inference, and social network analysis (SNA).

📚 Selected Publications Browse All Publications →

  • Monograph: Hong, Y. (2022). Empirical Research on the Status Quo and Internal Mechanism of Academic Resource Allocation in Chinese Regular Universities. Beijing: Economic Science Press.
  • SSCI Journal Article: Bai, H., Li, M., & Hong, Y.* (2024). Grandparental childcare and maternal labor supply in Chinese families with young children: Evidence from the China Family Panel Studies. International Sociology, 39(4), 486–509. (SSCI Q2, Corresponding author & lead quantitative modeler)
  • Selected Chinese Articles (CSSCI): Published over a dozen articles in top CSSCI journals, including Educational Research (教育研究), Tsinghua Journal of Education (清华大学教育研究), and China Higher Education Research (中国高教研究).

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