作为我国经济高质量发展的两大核心增长极，长三角与粤港澳大湾区遥相呼应。高铁拉近了距离，如何 让协同发展更有"含金量"？省政协委员、江苏澳盛复合材料科技有限公司董事局主席许文前聚焦苏港科 创合作，为两大区域协同发展支招。他以澳盛科技为例：企业相关项目斩获江苏省科技进步奖一等奖， 正是苏港科创互补共赢的结果。 "香港是国际科创中心，在人工智能、生物科技等领域实力雄厚；江苏是制造业大省，产业全、市场 广，两地本是'黄金搭档'。"他也坦言，现实中，香港不少科研成果困在实验室，难以从"样品"变为"商 品"，苏港协同发展存在合作零散缺乏系统布局、人才对接不精准等症结。许文前建议，设立苏港制造 业创新转化基金，政企协同、市场化运作，重点支持香港科创项目中试和产业化；构建全链条支撑体 系，设立概念验证资金、共建创新平台，打通成果转化中间环节；完善配套政策，对落地项目给予奖 励，为香港科创人才提供落户、教育、医疗"一站式"服务。 □ 本报记者王梦然 "南京到香港的高铁通了，可以'早吃南京鸭血粉丝，晚品香港菠萝油'，未来长三角和大湾区如何更好 地协同发展？"近日，交汇点新闻客户端"我请代表委员捎句话"栏目中，网友的提问，道出了大 ...

Core Insights - The event held on August 11 focused on enhancing collaboration between Suzhou and Hong Kong in the field of technological innovation [1] - The event showcased five innovative projects from Hong Kong, highlighting their potential in technology research and industrial application [1] Group 1: Event Overview - The event took place at the Suzhou 2.5 Industrial Park, which is a key project for the transformation and upgrading of the park's industry [1] - It aimed to build a solid bridge for cooperation between Suzhou and Hong Kong's technological innovation sectors [1] Group 2: Project Highlights - The showcased projects included human-computer interaction technology, AI surgical systems, medical-grade wearable rings, assistive devices for the visually impaired, and automated beverage production solutions [1] - Each project emphasized cutting-edge technological innovation and practical application scenarios [1] Group 3: Investment Interaction - Investment experts from various institutions, including Su Chuang Investment and Lingjun Venture Capital, engaged with project representatives, providing critical feedback and targeted suggestions for implementation [1] - The discussions focused on business models, market adaptability, and resource integration within the park [1] Group 4: Industrial Park Development - The Suzhou 2.5 Industrial Park has been actively linking multinational companies with local innovation resources [1] - The park has been implementing targeted recruitment strategies to attract high-quality projects, including precision, sector-specific, and big data-driven approaches [1]