Big+data
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Center for Industrial Future Strategy Takes Off at KAIST
(Professor Wonjoon Kim from the School of Business and Technology Management)
Professors from KAIST and major international universities launched a mega-scale research center focusing on the Fourth Industrial Revolution, named the Center for Industrial Future Strategy (CIFS).
This center is funded by the National Research Foundation Korea and will receive 2.25 billion KRW over four years.
Directed by Professor Wonjoon Kim from the School of Business and Technology Management, the center is comprised of ten top-tier researchers and four research associates, including Professor Hawoon Jeong (KAIST), Professor Scott Stern (MIT), Professor Aaron Chatterji (Duke University), Dr. Yong Suk Lee (Stanford University) and Professor Hyejin Youn (Northwestern University).
The center will conduct research on technical, social, and economic changes derived by a new paradigm of technological innovation.
Moreover, they will study policies and strategies in relation to innovation in the corporate and government sectors to achieve economic growth in a sustainable manner. The center will also propose policies and strategies in a variety of economic and industrial settings to establish a sustainable and global innovation ecosystem.
To carry out these studies successfully, CIFS will further expand the AIEA-NBER Conference with the Asia Innovation and Entrepreneurship Association (AIEA) and the National Bureau of Economic Research (NBER) in which numerous Nobel Laureates in Economics are affiliated. They will also comprise thematic research teams with co-founding universities to build stronger cooperation with one another.
Besides the academic cooperation, the center will also build partnerships with international organizations, including the Asian Development Bank and the Inter-American Development Bank to carry out their missions at multilateral levels.
Their research topics include changes to value chains in a new paradigm of technological innovation, labor market changes in the Fourth Industrial Revolution, sharing economies and social interests, big data, artificial intelligence & privacy policy, and innovation & ethical and institutional countermeasures to AI technology.
Professor Kim said, “The new paradigm of technological innovation is evolving social, economic, and industrial structures, such as R&D, industry, technology, labor, finance, and institutions. The Center will contribute to proposing policies and strategies so that Korea, as well as the international community, can take appropriate measures to these big changes.”
2018.09.11 View 9061 -
Big Data Reveals the Secret of Classical Music Creation
Professor Juyong Park of the Graduate School of Culture Technology at KAIST and his research team have recently published the result of their study (“Topology and Evolution of the Network of Western Classical Music Composers”) on the dynamics of how classical music is created, stylized, and disseminated in EPJ Data Science online on April 22, 2015. For the press release issued by the journal, please go to the link below:
EPJ Data Science, May 6, 2015
“EPJ Data Science Highlight—Big Data Reveals Classical Music Creation Secrets”
http://www.epj.org/113-epj-ds/941-epjds-highlight-big-data-reveals-classical-music-creation-secrets
Researchers used big-data analysis and modelling technique to examine the complex, undercurrent network of classical music composers, which was constructed from the large volume of compact disc (CD) recordings data collected from an online retailer, ArkivMusic, and a music reference website, AllMusicGuide.
The study discovered that the basic characteristics of composers’ network are similar to many real-world networks, including the small-world property, the existence of a giant component, high clustering, and heavy-tailed degree distributions. The research team also found that composers collaborated and influenced each other and that composers’ networks grew over time.
The research showed that consumers of classical music CDs tend to listen together to the music of a certain group of different composers, offering a useful tool to understand how the music style and market develops. Based on this, the research team predicted the future of the classical music market would be centered on top composers, while maintaining diversity due to the growing number of new composers.
Professor Park said, “In recent years, technology greatly affects the way we consume culture and art. Accordingly, we see more and more artists and institutions try to incorporate technology into their creative process, and this will lead us to larger- and higher-quality data that can allow us to learn more about culture and art. The quantitative methodology we have demonstrated in our research will give us an opportunity to explore the nature of art and literature in novel ways.”
The European Physical Journal (EPJ) comprises a series of peer-reviewed journals, eleven in total, which cover physics and related subjects such as The Large Hadron Collider, condensed matter, particles, soft matter, and biological physics. The EPJ Data Science is the latest journal launched by EPJ.
Figure: Backbone of the Composer Network
The composer-composer network backbone, projected from the CD-composer network, reveals the major component of the network. The node sizes represent the composers’ degrees, and the colors represent their active periods.
2015.05.07 View 9799