大数据、人工智能、区块链等先进信息技术迅猛发展，驱动着情报学研究内容和方法发生了巨大变化。情报学研究内容的变化包括：概念链和知识研究的变化、新的分支学科正在兴起或亟待建构、对先进信息技术的研究更受重视；情报学研究方法的变化包括：大数据环境下情报学研究方法发生与环境相适应的演变，分析工具和方法不同于以往，科学的研究方法论体系逐步完善。不管是从研究对象维度还是从技术维度看，情报学研究内容和研究方法在先进信息技术驱动下发生变化都有其必然性。看到这些变化的同时，需要思考其与外部因素制约、与情报学学科发展、与发挥情报学所长之间的关系等问题。

The rapid development of advanced information technologies such as big data, artificial intelligence and block chain has driven great changes in the research contents and research methods of intelligence studies. The changes of intelligence studies research contents include: the changes of concept chain and knowledge research, the rise or much-needed construction of new branch disciplines, and more attention paid to the research of advanced information technologies. The changes of intelligence studies research methods include: the evolution of research methods adapted to the big data environment, the differentiation of analysis tools and methods from the past, and gradual improvement of the scientific research methodology system. Whether from the perspective of research object or technology, it is inevitable that the research content and research methods of intelligence studies evolution are driven by advanced information technology. We need to think about the relationship between them and the constraints of external factors, the development of intelligence studies discipline, and give full play to the advantages of intelligence studies.