With the rapid development of new generation information technology such as big data, cloud computing and artificial intelligence, data has become a basic strategic resource and revolutionary key element in the digital age. Only with the cooperation of government, enterprises and talents can we open up the circulation channels of data elements, innovate data application methods, activate the potential of data elements, and promote the transformation of production mode, lifestyle and governance mode with digital transformation. In order to expand the circulation channels of data elements, break the barriers of government, enterprises and talents, and tap the value of data elements, data science competition came into being.
The outline of the 14th five year plan points out that we should accelerate the development of digitization and build a digital China. Activate the potential of data elements and establish and improve the market rules of data elements. In this regard, Zhang Yang, the person in charge of a data science competition platform, believes that data openness is the first step to establish and improve the data element market. Circulation transactions can be further carried out only after there is sufficient scale and high-quality open data.
Nowadays, digital construction has become the lifeblood of enterprise development. Talent is the basis of digital development. How to select high-quality competitors from the huge talent market is an important problem faced by enterprises. Selecting high-quality algorithm talents has also become a pain point in enterprise recruitment.
"Data science competition is a starting point and engine of data opening. Through holding the competition, we can continue to promote data opening, and the precipitated talents and projects will further serve the circulation of data elements." Zhang Yang said that the data science competition provides a new idea of accurate recruitment for enterprises: by establishing algorithm projects based on real business needs, conducting skill tests for the whole society, and taking competition ranking as the evaluation standard of talent skill level, it can help enterprises develop an efficient, accurate and low-cost recruitment model.
In recent years, as an important starting point to promote the innovative application of public data resources, data science competition has been accepted by more and more government and enterprises, and achieved a better combination of accurate recruitment and competition projects.
In 2021, the second big data application innovation and entrepreneurship competition of Shandong Province was held with the theme of "digital gathering empowers, wisdom and benefits Shandong". Gu Weidong, deputy director of Shandong big data Bureau, said that by carrying out the data application innovation and entrepreneurship competition, we can fully stimulate the enthusiasm and initiative of all aspects of society, solve the key, difficult, blocking and pain points that urgently need to be solved in public services and social governance, and provide more and more practical digital solutions, which is important for accelerating the development and utilization of data resources and promoting cross-border integration, It is of far-reaching significance to better benefit people's livelihood.
With the continuous deepening of digital construction, the government's efforts to organize competitions have also expanded. In 2020, Shenzhen held the Shenzhen open data application innovation competition, which brought together more than 6000 people from well-known universities and science and technology enterprises to participate, and gathered top talents in the industry in a short time. While solving social hot issues and mining data value, it has achieved many results in talent introduction, project incubation and urban publicity. Data science competition has also become a magnifying glass of data opening achievements.
"It is true that the data science competition can not solve all problems. As an emerging method of data value mining, there are still a series of problems such as imperfect standards. However, it is an effective path for the opening of government data, the landing of recruitment projects, and the accurate recruitment and selection of high-quality algorithms by enterprises." Zhang Yang said.
"Data is the foundation of data science competition." Industry experts said that the government and enterprises continue to open data elements and competition platforms with high quality, and make full use of advanced technology to ensure the safety of data elements is an important guarantee for the sound development of data science competition. In the future, the data science competition will become an active part of the circulation ecology of government data elements, and will also become a sharp tool for enterprises to select talents, algorithms and capital exploration projects.
