With China’s economic and social development into a high-quality development stage, the development of civic scientific literacy in the new era is facing profound changes, this is the evolution from communicating science knowledge to advocating scientific spirit, mastering core skills and methods, and having competences of continuous learning to adapt to the new situation. On the basis of the current scientific literacy evaluation system, we will optimize and upgrade the scientific literacy evaluation system from three aspects: first, develop new indicators of the civic scientific literacy which reflect the new era; second, add the scientific literacy behavior guide and core skills for the new era; third, integrate the scientific literacy behaviors as a part into the comprehensive evaluation system.

Since 2006, the social environment for science writing has been improved in China. More and more people came to take up science writing and have created a considerable amount of works of different genres, contributing to the course of science popularization and public literacy. In the next fifteen years, the core and aim of science writing should still be to meet people’s cultural and intellectual needs and serve the course of science popularization and the enhancement of public literacy. Continuous efforts should be made to improve the social environment, build a strong creative team, enhance quality awareness, and promote the reading of science popularization works.

Short video has gradually become an important method for scientific communication, and its expressive force and user foundation have attracted a batch of scientific research institutions to join in the short video creator team. In the study, scientific short videos presented by Chinese Academy of Sciences and its research institutes in the Tik Tok App are sampled to probe into the influence factors of video popularity in a way of empirical research method. It is found that the number of fans of the short video uploader, the viewing number of the topics, content type, narrative approach and expression style of information all affect obviously the popularity of short videos. On the basis of summarizing the features of scientific short videos published by Chinese Academy of Sciences and the analysis results, improvement suggestions of video contents and communication strategy are put forward as references for scientific research institutions in their making of short videos of better efficiency as a kind of scientific communication form.

With the big background of prosperous development for cultural and creative industry, it becomes an important issue to be solved urgently that how to seize the opportunity and put forward a developing strategy for the cultural and creative industry of science and technology museums under the situation that the museum is becoming more welcomed and the public need continues to increase. Based on the SWOT model to analyse and discuss the advantages and disadvantages of the cultural and creative industry of science and technology museums as well as the opportunities and challenges it is facing, the article comes up with the countermeasures and suggestions for the development of the cultural and creative industry of science and technology museums to promote its development in a rapid and orderly way.

This article analyzes popularization discourse about GM on three WeChat public accounts in an attempt to identify the knowledge-oriented and reader-oriented discursive strategies for the construction of affinity. It is found that the coding of the popularization discourse is characterized by interactivity on the lexicogrammatical and semantic levels. Such a coding orientation plays an important role in the construction of affinity and the realization of the writer’s stances.

In recent years, science communication scholarship has been experiencing major theoretical overhauls, which include the challenges to the theoretically dominant public engagement with science model; mainstream communication scholars’ attempt to renovate science communication with typical psychological and cognitive science approaches; and the theory of science’s medialization and the impact of social media on science. Based on a systematic review of the three newest theoretical threads, this paper offers objective comments towards their development and suggests possible China resources that can contribute to the theoretical development. Finally, this paper discusses the inspirations these international theoretical developments can bring to China’s science communication study.

Scientific literacy becomes increasingly important in constructing a modernized social governance system with the rapid economic and social development. Bringing in the concept of scientific literacy, this article analyzes its concrete impact mechanisms on the governance capacity of two main social governance subjects, the government and the public. The article argues that scientific literacy plays a crucial role in improving the governance capacity of civil servants and the public. Specifically, the attainment of scientific literacy improves civil servants’ social risk awareness, decision-making, standardized administration, and governance technology, while enhancing citizens’ sense of engagement, legal consciousness, and the ability to participate.

In order to understand the practice condition of science education in primary schools after the release of the Curriculum Standard of Science in Primary School of Compulsory Education, investigation has been conducted, and more than 3 000 science teachers and teaching-research staff from 9 provinces in China were surveyed. Results show: science curriculum was implemented according to the Curriculum Standard of Science in Primary School of Compulsory Education; science teachers can get training regularly but the quality of training is not enough; there are still some problems in science education resources. Based on the education practice, some suggestions are given to improve the science education in primary schools.

In the network era, the network communication power of institutions or organizations reflects their abilities in shaping social image and providing social services. It is practically important for research institutions to study and enhance their network communication power since they are carriers and platforms for science and technology innovations. Based on Qingbo Big Data, the paper explores and analyzes the network data of 43 national institutes under Beijing Branch of Chinese Academy of Sciences (CAS), and makes a systematic quantitative analysis on related situation of network communication power. It has been found that China’s national research institutions generally pay insufficient attention to network communication, and stay basically at the initial stage of network communication (i.e., mainly in the form of web pages and online forums). There is little use of new media represented by micro-blog, WeChat, and clients. Finally, suggestions on network communication power for national research institutions of China are put forward according to present situation and future trends of network, such as constructing network communication systems, enhancing network communication capabilities, and learning how to tell “science stories” well.

The rapid development of artificial intelligence (AI) provides creative materials and scientific evidences for science fiction creation, while science fiction creation provides AI research with future imaginations and developing possibilities. Such separating and interacting relationship forms rich spiritual and sensory experiences. The fundamental reason for these experiences is that AI (which takes data and algorithms as its core technology) has gradually broken through the ethics of anthropocentrism under the guidance of symbolism, connectionism, and behaviorism. This change of anthropocentric ethics may lead to the loss of human control on machines, or even the destruction of humankind. To avoid this predicament, we need to build a new ethic in which human and artificial intelligence could coexist, namely, a quasi-partnership between humans and artificial intelligence based on anthropocentrism.