Big Data "nuggets" 10 years

Yong

"In March 2001, when I was a professor of information science and technology at the Nebraska State State University in the United States of America, Ninchars-Margary Dem, deputy chairman of the National Standing Committee and Director of the Department of Management Science of the National Nature Fund, visited the school. "One day at the end of 2014, in an office in Zhongguancun, Beijing," said Yong, executive vice director of the Center for Virtual economy and data science at the Chinese Academy of Sciences, smiling, recalling the past 13 years ago.

Later Yong accompanied Cheng to visit the famous credit card management and data processing Enterprise "first information company". When Yong introduced himself and the team in the company's large-scale data based credit risk management modeling and analysis work, Cheng said to him: "You should consider returning to work, these research can promote China's financial innovation." ”

At that time, none of their conversations had yet been used for a word--big data--that more than 10 years later.

One Step Ahead

"Everyone talks about big data today, but it's hard to imagine a decade ago when people were unfamiliar with the concept," he said. "We've been working on data science since 10 years ago," Yong with a bit of pride. ”

In the fall of 2004, under the auspices of Yong, who was invited by the Chinese Academy of Sciences, the Center for Data Mining and knowledge management (CHIP) was formally established in the Zhongguancun campus of the Graduate School of CAs.

Prior to that, data mining and knowledge management Two directions in the international still is separate, Yong organized an academic meeting in time, invited experts to participate in two fields, the experts discussed the consensus: to combine the two to produce new innovative scientific research.

Taking into account the public perception at that time, at the time of the LU of the Chinese Academy of Sciences, the name of the center became the "Data technology and Knowledge Economy Research Center (CHIP)".

At a Fragrant Hill Science conference organized by the Centre (raised) in June 2006, renowned experts from around the world agreed that data are the basis for known data analysis, data mining, knowledge discovery, knowledge management, customer relationship management, and so on. The data itself has the scientific meaning and the law, the data research should be treated as the discipline, the research data science.

From then on, the data science with the background of data and knowledge is gradually recognized by many fields.

In September of the same year, Lu was invited by Cheng to reorganize its virtual economic team with Yong's team. Later, Professor Shi Min-jun, who returned from Zhubo University in Japan, also led the Green economic team to join the centre. The center has been renamed the Center for Virtual economy and data science of CAS and continues to this day.

At the beginning of 2007, CAS formally approved the establishment of the center. Later, the international team of data science has been set up. "For example, Columbia University set up the Institute of Data Science in 2012, more than 5 years later than our center." "Yong said.

"Gold" in the mass of data

The leading of course is not just time.

Over the years, the Center for Virtual economy and data science has provided a lot of decision-making basis for the national macro economy. The honorary director of the Centre, Cheng, wrote in 2009 on the next step in the reform of RMB exchange rate system-establishing a flexible dual target area of RMB exchange rate, and then using the theory of fictitious economy to write a report on the global financial crisis and China's countermeasures. In the 2014 publication of the "Internationalization of the renminbi" book, Cheng proposed in 10 years to achieve the basic goal of RMB internationalization and timetable recommendations.

The center has also made suggestions for local advice through solid research. Shi Min-jun team through research, for the Shiyang River basin management planning adjustment and improvement put forward specific proposals. They also collaborated with Accenture to create the Accenture New Resource Economic City Index, which provides a new system of assessment and analysis for urban planning and management in China.

Scientific research is directly oriented to related industries, it is a major feature of the center.

From 2006 to 2009, the Yong team cooperated with the PBC and the credit Center to establish a national personal credit scoring system on the basis of the national Personal Trust database. The work has had a significant impact on the day-to-day economic activity of 1.3 billion Chinese people in commercial banks. As at May 31, 2010, the number of inquiries by the personal credit system reached 650 million times. The system cost 2 billion yuan a year, and realized the real sense of the financial engineering theory based on large data mining practice. Zhu Min, a former deputy governor of the People's Bank of China and now vice president of the International Monetary Fund, praised the resident's credit rating as "already above international standards".

At present, Yong team's original multi-objective optimization data mining model, has been successfully applied to finance, insurance, electricity and other fields of massive data or large data issues, NetEase, ICBC, China's financial Futures exchange, China Investment Company, China Reinsurance Group, the National Audit Office, a store, the Ministry of Commerce have become their "customers."

The efforts of the various teams have earned the center a total of more than 40 million dollars in funding, and incredibly, the center has only a dozen full-time researchers.

The center's scholars also won many awards: Cheng in 2014 received the Fudan Management Lifelong Achievement Award, Yong in 2009 won the Fudan Management Outstanding Contribution Award and the international multi-goal Decision society's highest award-Cantor Academic Award, 2013 also won the first prize of the Ministry of Education Natural Science Award.

The center of the graduates of the birth of two national "Jie Qing" and a Ministry of Education Changjiang scholar. In addition, one was invited to serve at the University of California, with two serving at two universities in Australia. In addition to the backbone of scientific research, the graduates include the famous venture capital platform "36KR" CEO, including the enterprise elite and entrepreneurial talent. According to Yong, the center recruit graduate students into the mathematics, computer and management of three major, "I hope that the different subjects of communication and collision, to promote more new ideas produced."

Keep going.

August 2014, Yong as a representative of the applicant Unit, participated in the evaluation of key laboratories of CAs. At the beginning of the convocation, he muttered: More than 60 candidates competed for 30 places, and they were arranged to be the first to reply in the subject group, "always feeling that the judges will be very strict with the first."

But to Yong's surprise, the judges highly rated their work and unanimously passed their application. The key laboratory of data mining and knowledge management of CAS has been approved, and the laboratory will rely on the science of virtual economy and Data Science center of the Chinese Academy of Sciences, the University of Science and Technology, the Institute of Mathematical Sciences and the Institute of Computer and Control.

Yong, a laboratory director, believes the new platform is bound to further advance the centre's edge in related areas.

In recognition of their work, the Bridge, the American Academy of Engineering, invited Yong as editor-in-chief and published an academic album titled "Global Vision of Big Data" in its latest winter edition. Yong invited 14 eminent scholars from 9 countries and regions to write a discussion on the status, challenges and trends of large national data.

In Yong's view, big data now faces a number of major challenges: firstly, the paper studies the logical relationship between different manifestations of heterogeneous data to seek the general law of "multidimensional data table" based on heterogeneous data; Secondly, it explores the description method of large data complexity and uncertainty feature and the system modeling of large data. Third, The influence of data heterogeneity and decision heterogeneity on large data knowledge discovery and management decision is studied.

In the face of these challenges, Yong said: "Our center in the analysis and use of massive data research on the road has been gone for ten years, the future will continue to go on." ”

(Responsible editor: Mengyishan)