选题判断清单Topic checklist
判断兴趣能否缩小成可以研究的问题。Judge whether an interest can become a researchable question.
免费线上公开课 · 开放预约Free online class · Reservations open
普通学生，怎样从零完成一项AI应用研究？How can a student complete an applied AI research project from scratch?
面向商科、管理、金融、教育、数据分析与AI应用方向学生。用一个真实案例讲清选题、文献、方法、数据与科研诚信。For students in business, management, finance, education, data analytics and applied AI. Learn questions, literature, methods, data and research integrity through a concrete case.
听完之后What you learn
知道一项研究该从哪里开始。Know where a real research project should begin.
完整研究路径Research roadmap
看清文献、方法、数据、分析与表达之间的关系。See how literature, methods, data, analysis and writing connect.
方法选择思路Method choices
了解问卷实验、文本分析、公开数据和案例研究。Understand surveys, text analysis, open data and case research.
选题初步诊断Initial topic diagnostic
符合条件的报名者可继续参加一次免费初步沟通。Suitable participants may continue to a free initial discussion.
80分钟公开课80-minute open class
用一个具体案例，把研究过程完整拆开。Use one concrete case to unpack the research process.
公开课不要求科研基础。我们会从一个宽泛兴趣开始，演示怎样形成问题、寻找证据、选择方法，并说明AI工具与学术诚信的边界。No prior research experience is required. We start with a broad interest, form a question, identify evidence, choose a method and explain the boundaries of AI tools and research integrity.
- 00—15
兴趣变成问题Interest to question
现场把“AI影响商业”缩小为可执行的研究问题。Turn “AI affects business” into an executable question.
- 15—35
文献与方法Literature & method
说明怎样寻找文献，并根据资料条件选择方法。Find literature and choose methods that fit available evidence.
- 35—55
AI工具与证据AI tools & evidence
展示AI可以辅助的环节，以及必须由研究者判断的部分。See where AI can assist and where researcher judgment is required.
- 55—80
科研诚信与答疑Integrity & Q&A
讲清真实贡献、署名责任，并集中回答学生问题。Clarify contribution and authorship responsibility, followed by Q&A.
适合谁Who it is for
愿意亲自完成研究过程的学生。Students ready to do the research themselves.
- 准备硕士、博士或研究型项目申请，希望形成一段可说明的科研经历Preparing for master's, doctoral or research-focused applications
- 对AI与商业、管理、金融、教育或社会问题有明确兴趣Interested in AI and business, management, finance, education or society
- 每周能够投入6—8小时阅读、分析、讨论与写作Able to invest 6–8 hours each week in reading, analysis and writing
项目不出售论文或署名，不承诺录用。后续论文工作只面向完成实质性研究贡献、愿意继续投入并承担作者责任的成员。The program does not sell papers or authorship and cannot guarantee acceptance. Further manuscript work is open only to participants who make substantial contributions and accept author responsibilities.
研究指导与组织Research guidance
战歌 博士Dr. Ge Zhan
首席科学家Chief Scientist负责研究方向、方法质量、项目评审与学术指导。Leads research direction, methodological quality, project review and academic guidance.
王瀚锋Hanfeng Wang
研究院主任Director负责项目组织、AI工具与研究工作流、过程推进和成果呈现。Leads program delivery, AI tools and research workflows, progress and outputs.
免费预约Free reservation
先把问题说清楚，再决定下一步怎么做。Clarify the question before deciding the next step.
填写基本情况、研究兴趣和可参加时间。我们将通过微信发送公开课安排；符合条件的报名者可继续参加一次免费选题初步诊断。Share your background, research interests and availability. We will send class details through WeChat, and suitable participants may continue to a free initial topic diagnostic.
预约表约需2分钟，包含联系方式、学校专业、发展目标和当前最想解决的科研问题。The reservation takes about two minutes and covers your contact details, background, goals and current research question.
公开课与初步选题诊断均免费。后续研究合作与培养安排，将根据学生目标、基础和投入情况单独沟通。The open class and initial topic diagnostic are free. Any later research or training arrangement is discussed individually based on goals, background and commitment.
免费预约AI应用科研公开课Reserve the free open class↗︎腾讯问卷可在国内网络直接访问。如遇问题，请联系 contact@apexilab.com。Tencent Questionnaire is accessible in mainland China. If you encounter a problem, email contact@apexilab.com.