Introduction
In an era profoundly reshaped by AI, truly competitive research and investment professionals must not only understand technology and industrial logic but also adeptly use tools to enhance efficiency and build replicable research methodologies. The "AI Research and Investment Elite Incubation Program," hosted by the Hong Kong Polytechnic University's School of Business TGG Stablecoin and RWA Innovation Center, in collaboration with Uweb Business School and Techub News, is precisely a talent incubation platform tailored for the next generation of research and investment elites.
Core Summary
The "AI Research and Investment Elite Incubation Program" is an 8-week public welfare incubation camp that focuses on building systematic capabilities in AI technology, industry, and research and investment scenarios. The program revolves around four main capability sectors—research methodology, practical AI tools, content influence, and commercialization expression—helping participants build a complete AI research and investment workflow from scratch through thematic courses, collaborative project classrooms, and practical tasks. Through the deconstruction of real market cases, feedback on works, and summit presentations, participants will complete a comprehensive upgrade from personal positioning, product planning, research practices to commercialization expression, evolving into "AI Research and Investment Elites" equipped with methodology, practical skills, and influence.

I. Top Universities Organizing, Accelerating the Integration of Theory and Practice
The project is organized by the Hong Kong Polytechnic University's School of Business TGG Stablecoin and RWA Innovation Center, in conjunction with Uweb Business School and Techub News, combining academic research perspectives with frontline industry practices. The course settings closely align with real research and investment scenarios, completing a closed loop from theoretical frameworks to practical tool application within 8 weeks, allowing participants to directly connect the actionable methodologies and project opportunities through systematic learning.
II. Cross-Disciplinary Mentor Team, AI × Research and Investment × Content KOLs Accompanying Throughout
The incubation camp invites mentors and guests from fields such as AI technology, financial research and investment, content creation, and product planning, who will accompany participants through case deconstruction, work feedback, and iterative guidance to complete each result delivery. Mentors focus not only on participants' knowledge mastery but also on the construction of practical workflows and project implementation capabilities, helping participants continuously refine their research and investment systems through specific problems.
III. Three-Dimensional Core Capability Upgrade: Methodology × Tools × Influence
The course revolves around three core dimensions:
Research Methodology: Construct a research framework to understand technology, industry, and business models, strengthening cross-asset analysis and risk identification capabilities.
Practical AI Tools: Introduce large models, intelligent agents, and various analytical tools into the research process, establishing a complete chain for information acquisition, cleansing, verification, and analysis.
Influence and Commercialization: Refine communicable research outcomes and commercially viable product expressions through content output and user validation mechanisms.
IV. Systematic Incubation Path from 0 to 1
During the 8-week learning cycle, participants will complete a series of results including personal positioning cards, topic databases, product planning documents, workflow prototypes, US stock and multi-asset research cases, commercialization explanations, and BP frameworks in stages. Each result corresponds to specific tasks and presentation milestones, helping participants measure growth with checkable milestones and progressively upgrade from "tool users" to research and investment practitioners with methods and outputs.
V. Achievement Accumulation and Multi-Resource Linkage
Outstanding results will have the opportunity to be included in university case libraries and achievement manuals, gaining greater industry influence through summit presentations and media exposure. The program also provides resource linking and follow-up opportunities, helping participants to continue expanding project collaboration, roadshows, and career development paths after completing incubation, achieving dual benefits from capability enhancement to opportunity extension.
VI. Open to "Those with Foundations and Potential," Entirely Public Welfare
The incubation camp is aimed at research and investment practitioners and researchers who already have a certain practical foundation and are willing to invest deeply, particularly targeting those who have used AI tools, are interested in crypto, stocks, funds, the AI industry, or RWA tracks, and possess basic writing and analytical skills. As a public welfare incubation project, the entire 8-week course is fully open and free for selected participants, with the organizers hoping to build an open community for long-term communication and collaborative achievement.
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