Mona Lisa


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Introduction

The scientific principles behind natural systems can be simple, yet are able to produce intricate patterns via nonlinear, dynamic processes. Culture — cultural products and phenomena — is  another realm where this is true: People make use of the scientific principles to create those that we find beautiful, pleasing, and engaging. Now there is a trend to apply science to understand what is behind culture. This workshop is intended to promote dialog between those interested in the effort, and is open to the general public.


Date, Time, & Venue

  • Time: June 4, Sat, 1000—1700

 


Keynote Speaker

  • Kwangyun Wohn
    • Professor, Graduate School of Culture Technology, KAIST
    • Leader, BK21 Plus Postgraduate Organization for Content Science, KAIST

Speakers (in Alphabetical Order)

  • Yong-Yeol Ahn (School of Informatics, Indiana University, USA)
    • Title: Networks, Communities, and Diffusion of Culture
    • Abstract: We are embedded in a huge social network that consists of numerous social communities—ranging from a family to companies and governments. Information, ideas, and behaviors flow through social relationships and everyone is affected by their social relationships. Because most social problems are about the ‘culture’ arising from social interactions, it is crucial to understand how the social network shapes the emergence and evolution of culture. This talk will explain how social communities can affect the ways information and ideas spread in social networks, and then show how this theory can be used to predict viral memes (or even understand the structure of human brain).
  • Sebastian Ahnert (Department of Physics, Cambridge University, UK)
    • Title: The Flavour Network
  • Ji-Hyun Lee (Graduate School of Culture Technology, KAIST)
    • Title: Cultural DNA — AI in Design & Culture Applications
    • Abstract: Many researches in computational design field implement shape grammars or space syntax for morphological analysis; since my appointment to GSCT in 2007, I strived to apply the abovementioned scientific and rule-based methodologies to cultural aspects. This effort led me to explore computational design field from the perspectives of a meme, a socio-cultural analogy to genes. While trying to comprehend the concept of a meme from the cultural aspects of design and the notion of a genetic algorithm, the term ‘cultural DNA’ naturally became a keyword of the research. A motivational event was when I organized an international workshop in 2009 focusing on the analysis of Korean and Spanish patterns using shape grammars called, ‘Visual Exploration of Cultural Style in Design (VECSiD).’ As extensions of this domain, my research group began to research the designed artifacts using bio-inspired design method, and the ideas from industrial design with cultural DNA from the perspectives of brand identity, product analysis and synthesis, and even marketing. As a case of industrial design, my research group is analyzing the morphology of automobiles. Since judging from the research productivity, ‘Cultural DNA with Morphological Analysis’ is currently my representative research area, and here, I want to share my research experience today.
  • Juhan Nam (Graduate School of Culture Technology, KAIST)
    • Title: Music Technology in the AI era
    • Abstract: Our ways of composing, performing or listening to music have evolved, being heavily influenced by representative technologies in the era. Recently, the advance in artificial intelligence (AI) by deep learning has led not only a remarkable series of successes in computer vision, speech recognition, natural language processing and game against human but also new possibilities in cultural arts such as music. In this talk, we introduce recent efforts in applying the AI technology to music and how they will change our way of handling music in the future.
  • Juyong Park (Graduate School of Culture Technology, KAIST)
  • Maximilian Schich (Arts and Technology, University of Texas—Dallas, USA)
    • Title: Towards a Systematic Science of Art and Culture
    • Abstract: This lecture outline a perspective towards a systematic science of art and culture. As such, the proposed approach integrates qualitative inquiry with computation, natural science, and information design, while sharing the aim of understanding the process of art and cultural history with so-called “traditional practice”. It explores unknown complex emerging structure and dynamics by analyzing large data sets, using both quantitative measurement and qualitative inquiry. Similar to systems biology, the procedure is characterized by multidisciplinary co-authorship and publications that make extensive use of scholarly figures. Justifying the need for such an approach, it will be argued that the process of art history is both transcending and exponential, while the discipline of art history, in principle, has no limits in method.
  • Seung-Woo Son (Department of Applied Physics, Hanyang University)
    • Title: Quantitative Analysis of Painting Arts
    • Abstract: Scientists have made efforts to understand the beauty of painting art in their own languages. As digital image acquisition of painting arts has made rapid progress, researchers have come to a point where it is possible to perform statistical analysis of a large-scale database of artistic paints to make a bridge between art and science. Using digital image processing techniques, we investigate the statistical physics laws of color usage and its distribution.
  • Seunghye Sun (Ministry of Foreign Affairs)
    • Title: Exploring Hyper-Connectivity in Art and Science

Registration

  • Everybody is free to attend.
  • Registration is closed. Please e-mail juyongp@kaist.ac.kr for additional available seats.
  • Please register for the event by filling out the form here.
    • Name (required)
    • E-mail (required)
    • Affiliation (optional)

 


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© Juyong Park, 2016

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