人工智能时代生物信息学学科发展和人才培养模式研究

The Development of Bioinformatics Discipline and Talent Cultivation Mode in the Era of Artificial Intelligence

生物信息学作为生命科学与生物技术/信息技术研究领域的关键交叉学科,对生物经济和数字经济的贡献日益显著。当前,生物信息学仍面临学科体系不健全、定位模糊以及交叉合作不充分等挑战,多模态高维度生物大数据的准确性、分析处理和共享整合问题也考验着生物信息学的发展。在建设科技强国的过程中,生物信息学是生物经济产业布局的关键环节。与此同时,人工智能技术的融入正引发生命科学研究范式的转变,促使生物信息学从认知科学向工程创造的STEM并存模式方向发展。此外,生物信息学面临人才培养同质化和优秀青年人才“内卷”的困境,需要构建多层次培养体系和优化科研环境,培养具有战略眼光的科学家。由此,应加强顶层设计,完善学科体系与教学体系;建立多元化人才培养体系;全面推进“101计划”;优化教育资源分配和教学模式创新。

Bioinformatics,a pivotal interdisciplinary field bridging life sciences and information technology,is increasingly vital for both the bioeconomy and the digital economy.Currently,bioinformatics grapples with challenges such as an underdeveloped disciplinary framework,ambiguous positioning within the sciences,and limited interdisciplinary collaboration,the intricacies of managing,analyzing,and sharing complex,high-dimensional biological data further complicate the field's progress.In the process of building a country strong in science and technology,Bioinformatics is a key link in the industrial layout of the bioeconomy.At the same time,The integration of Artificial Intelligence is revolutionizing life science research,propelling bioinformatics beyond pure science towards an integrated approach encompassing engineering and STEM principles.Furthermore,bioinformatics education faces concerns regarding homogenization and an overemphasis on specialization,requiring the development of comprehensive,multi-level training programs and the cultivation of a stimulating research environment,developing scientists with strategic vision.Accordingly,the top-level design should be strengthened to improve the academic and teaching systems,establish a diversified talent training system,comprehensively promote the"o1 Plan",optimise the allocation of educational resources and innovation in teaching modes.