This Curator Workshop invited Eo-bin Choi, the product manager developer at Open Survey, and talked about the algorithm in collecting data. The workshop began by looking at the definition and characteristics of the various mixed terminology in the field, followed by a Q&A session focusing on keywords that reflect the trends in IT industry such as big data, algorithm, data-structuring, artificial intelligence, machine learning, deep learning and blockchain.

Big data and research can be interpreted in a similar context in the sense that they are both conducted through cross-analysis. However, while big data is quantitative, the information dealt by research company has a comparatively qualitative characteristic. Accordingly, gathering and refining data decides how the resource structure can be made to be shown and used in an effective manner, and it was interesting to find out that space complexity and time complexity are taken into consideration in using multiple algorithms. Choi also gave specific explanation on the principles of various methods of classification, as well as giving case studies of using the data and a diagnosis on the future prospects of the industry.

In particular, the successful development of Deep Learning and the elaborate data management of social network or similar service platforms was a reminder as to how much influence is exercised by information in the capitalist market economy.