Big data to promote the interpretation of the strategy

Recently, the national strategy of big data is expected to be on the agenda of the report frequently in the press. As a new thing in the information age, new industry, big data has a fundamental, technical, social, permeability and complexity and many other characteristics, which reminds and cautions people that big data and the development of ordinary people and enterprises are also closely linked, it needs to be promoted by the state, but the support of the whole society is even more indispensable. In the author's view, the implementation of the big data strategy will be extremely dependent on the improvement of national scientific literacy, innovative development of math education and enterprise application of the enthusiasm of the three major social support.

The era of big data is approaching, and it is an era that requires a higher overall level of national scientific literacy. However, China's national scientific literacy level is not high, idyllic pastoral, resting on the status quo is the best illustration of the traditional society, the history of science and technology "Joseph Lee's riddle" is the lack of Chinese people's scientific and technological literacy of a vivid portrayal of the innate brand, and a certain degree of influence to this day. However, as the saying goes, "what is missing to make up for what", in order to occupy a favorable position in the international competition in big data, we must make great efforts to make up for the lack of national scientific literacy. Generally speaking, there are three main signs of national scientific literacy: the degree of national education, the ability to understand scientific knowledge and methods, and the number of patents and inventions. These must not become face-saving projects, but must achieve a real breakthrough.

On the other hand, the big data, "number" as its core, so math education has become the core social factors that determine the development of big data. Looking back at the current state of our math education, it is still quite common to emphasize indoctrination over thinking, knowledge over method, and theory over application. As a result, students' math scores are internationally leading, but people don't have much mathematical thinking, methods and application ability, and it is difficult to bring math into practical work. The opposite is true in some developed countries, where students do not have good math scores, but are comfortable in mathematical thinking and methods. For example, the winner of the 2013 Nobel Prize in Chemistry benefited from the use of big data informatics in chemistry research. This shows that math is not only a knowledge or science, but also a thinking, method or habit, which is the realm needed for big data, and also the realm that we should pursue in math education after getting out of the fill-in-the-blank teaching.

Big data is also a new industry, in addition to the participation of science and technology, education, but also the need for enterprises to become its blood cell. Without the enthusiasm of enterprises to use big data, the previous preparatory work will be in vain. Only by allowing enterprises to establish a big data thinking, the use of big data methods, willing to participate in the creation of data wealth, the formation of the era of big data trend and fashion in the whole society, in order to create a foundation for the prosperity of big data.

The above is what I shared with you about the interpretation of the big data promotion strategy, more information can be concerned about the Global Green Ivy to share more dry goods