近年来，认知科学、复杂科学、计算社会科学等领域出现的新思潮和新理论，为情报学的发展带来了新的机遇；大数据、人工智能的兴起，为情报学提供了新方法和新技术。大数据环境下的情报学在思想、方法和技术上都发生了许多变革，文章在跟踪近年情报学发展动态的基础上，归纳了大数据环境下情报学发展的十大特征，分别为计算化、模拟化、平台化、知识化、智能化、一体化、多元数据融合、方法联合化、结果聚合化和人机融合化。

In recent years, new trends and new theories in cognitive science, complex science, computational social science and other related fields have brought new opportunities for the development of information/intelligence studies; the rise of big data and artificial intelligence has provided new methods and new technologies for information/intelligence studies. Based on tracing recent developments of information/intelligence studies, the paper summarized ten characteristics of information/intelligence studies to show the full picture of information/intelligence studies in the big data environment, which are computerization, simulation, platformization, knowledge-based, intelligent, integration, multi-data fusion, methods combination, results aggregations, and human-machine integration.