Joint AI+X & IBS Workshop on Data Science

This workshop, organized together with the AI+X forum at KAIST School of Computing, will present recent research on data science applied to large-scale datasets on healthcare, climate change, cultural analytics, econometrics, and computational biology.

KAIST AI + X Forum on Meet the Data Scientists
https://kaist.zoom.us/j/92330868763
10:00-12:00
(moderator: Sue Moon & Mia Cha)
* Jisun An at the School of Computing and Information Systems, Singapore Management University (SMU-SCIS) (싱가폴경영대 전산정보시스템학과 안지선 교수)
* Kunwoo Park at the School of AI Convergence, Soongsil University (숭실대학교 AI융합학부 박건우 교수)
* Lanu Kim at the School of Humanities and Social Science, KAIST (KAIST 인문사회과학부 김란우 교수)
* Hyunjoo Yang at the School of Economics, Sogang University (서강대 경제학부 양현주 교수)

KAIST & IBS Joint Workshop on Data Science
https://kaist.zoom.us/j/92330868763
13:30 – 14:30
* Super resolution deep learning for climate downscaling, together with IBS Center for Climate Physics (Karandeep Singh & Arjun Babu Nellikkattil, 딥러닝 기반 기후 모델링)
* Protein Structure Prediction and Design using Deep Learning, together with IBS Center for Biomolecular and Cellular Structure (Luiz Felipe Santos Vecchietti & Hyun-joo Ro, 인공지능 기반 단백질 구조 예측)
* Understanding backgrounds of North Korean economy, together with economists and geographers (Eunji Lee & Jeasurk Yang, 위성영상 기반 빈곤 예측)
* Understanding characteristics of hate speech and depressive moods in chatbot data, together with Simsimi and Ewha Womans University College of Nursing (Hyojin Chin & Jeonghoi Choi & Chiyoung Cha, 챗봇 데이터에 기반한 분석 연구)

15:30 – 16:30
* Developing benchmarks of a continuous heart-rate variability to predict mental health, together with Kyungpook National University School of Medicine (SungKyu Park & Sangwon Lee, 웨어러블 기기 기반 수면 예측)
* Quantitative analysis of culture seen from an event-based social network, together with City University of New York (Bayu Adhi Tama & Lev Manovich, 미팅 데이터 기반 문화 패턴 분석 연구)
* Data Analytics for Customs, together with Korea Customs Service (Sundong Kim & Yeonsoo Choi, 관세 행정의 디지털 전환 연구)
* Wikipedia analysis for Global issue and data quality, together with POSTECH Complexity in Social System Laboratory and Wikimedia (Changwook Jung & Jaehyun Myung & Damin Lee, 위키피디어 데이터 기반 분석 연구)