PROGRAMMEInternational Symposium on Data Science(DSWS-2023)- Building an Open Data Collaborative Networkin the Asia-Oceania Area
14 December 2023
Science Council of Japan, Tokyo (hybrid type conference)
S iCil f J(Blue Colour; Online Presentations)(Time; JST = UTC+9h)

Thursday 14 December 2023

Session 3: Lessons learned from COVID-19 data (10:00-12:00 JST)

Conveners: * Tomoya Baba, Tadahiko Maeda, Mari Minowa, Elaine Faustman

10:00–12:00 (Chairs: Tomoya Baba, Tadahiko Maeda)••••••

Reviewing COVID-19 Management in Practice by a comparative study of India, Taiwan, USA and Japanthrough the Perspective of TQM and Preparing for Future pandemics
Kazuyuki Suzuki (University of Electro-Communications, Japan) (20’; S3.1)
Towards a global and integrated wastewater surveillance system: a review of historical and latest
activities
Noriko Endo (Kyoto University, Japan) (20’; S3.2)
Wastewater Surveillance Data: Tracking Imported SARS-CoV-2 Variants
Jatuwat Sangsanont (Chulalongkorn University, Thailand) (20; S3.3’)
Harnessing Advanced Data Science and Machine Learning in Smart Wastewater-Based Epidemiology
Guangming Jiang (University of Wollongong, Australia) (20’; S3.4)
Airborne surveillance of bioaerosol in built environment for future pandemic preparedness: Beyond
COVID-19
Irvan Luhung (Nanyang Technological University, Singapore) (20’; S3.5)
Issues of Digital Sequence Information (DSI) emerged from the COVID-19 pandemic
Masanori Arita (DNA Data Bank of Japan, National Institute of Genetics, Japan) (20’; S3.6)

12:00–12:15 Lightning Talks 2 (Poster Sessions)
12:15–14:00 Lunch Time
13:00–14:00 Core Time 2 (Poster Sessions)Poster Sessions

Abstracts will be included in the conference “Programme and Abstracts” online booklet.

Thursday 14 December 2023
Lightning Talks 2; 12:00-12:15 JST (@Zoom)
Core time 2; 13:00-14:00 JST (@Spatial Chat)(Chairs: Elaine Faustman, Mari Minowa)

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Genomic Surveillance of SARS-CoV-2 based on comparison among Japanese cities
Takashi Abe (Niigata University, Japan) (S3-P.2)
Unsupervised AI analysis of oligonucleotide usage in a wide range of variants of SARS-CoV-2
Toshimichi Ikemura (Nagahama Institute of Bio-Science and Technology, Japan) (S3-P.3)
Host cell-dependent genomic changes in SARS-CoV-2Yuki Iwasaki (Nagahama Institute of Bio-Science and Technology, Japan) (S3-P.4)
SARS-CoV-2 HaploGraph: visualization of SARS-CoV-2 haplotypes spread in JapanSo Nakagawa (Tokai University, Japan) (S3-P.5)
Urban Microbiome Monitoring in Japan: Collaborative Research with MetaSUB Consortium
Haruo Suzuki (Keio University, Japan) (S3-P.6)
Comparison of microbial diversity and resistant determinants in the built environment in Japan using
shotgun metagenomic sequencing
Dewa A.P. Rasmika Dewi (International University of Health and Welfare, Japan) (S3-P.7)
Evaluation of rRNA depletion methods for capturing the RNA virome from environmental surface
Yuh Shiwa (Tokyo University of Agriculture, Japan) (S3-P.8)
Wastewater-Based Epidemiology for Efficient SARS-CoV-2 Surveillance in Three Japanese Cities
Ryo Honda (Kanazawa University, Japan) (S3-P.9)
Implementation of wastewater-based epidemiology for viral infectious diseases in Japan
Masaaki Kitajima (Hokkaido University, Japan) (S3-P.10)
Investigation of experimental procedures for detecting SARS-CoV-2 from airborne low-density RNA
samplesJun Uetake (Hokkaido University, Japan) (S3-P.11)
Educational Activities for Young Researchers in Kyusyu University’s MAGDAS ProjectShuji Abe (Polar Environment Data Science Center,Joint Support-Center for Data Science Research (DS), ROIS;International Research Center for Space and Planetary Environmental Science,Kyushu University) (S5-P.1)

Thursday 14 December 2023

Session 4: Recent developments in data science (14:00-15:30 JST)
Conveners: *Asanobu Kitamoto, Kassim S. Mwitondi

14:00–15:30 (Chairs: Asanobu Kitamoto, Kassim S. Mwitondi)•A Recursive Method for Identifying Glacial Landforms in Hillshaded Areas Using Digital Elevation Dataand CNN Models
Kassim S. Mwitondi (Sheffield Hallam University) (15’; S4.1)

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Synergies of Satellite Datasets, Modeling and Data Analytic Approaches in Pollutant Retrieval
Hugo Wai Leung MAK (The Chinese University of Hong Kong;
The Hong Kong University of Science and Technology) (15’; S4.2)
NSSDC’s Data Governance Practices for AI for Space Science
Zou Ziming (National Space Science Center, Chinese Academy of Sciences) (15’; S4.3)
OpenCSDB: Enabling Knowledge-Driven Scientific Data Linking and Integration
Han Fang (Computer Network Information Center, Chinese Academy of Sciences) (15’; S4.4)
A Robust Data-Driven Method for Quantifying Methane Emission from Cattle
Tebogo Sebake (African Earth Observation Network, Nelson Mandela University) (15’; S4.5)
Discussion (15')

15:30–16:00 BreakThursday 14 December 2023

Session 5: Involvement of early career researchers and scientists (16:00-17:30 JST)
Conveners: *Shuji Abe, Akira Kadokura, Masahito Nose, Toshihiro Ashino, Susumu Goto, Takashi
Watanabe, Maja Dolinar

16:00–17:30 (Chairs: Shuji Abe, Susumu Goto, Masahito Nose)••••••

Empowering the Future of Data Science: Introducing the Activities of the WDS-ECR Network
Maja Dolinar (Slovenian Social Science Data Archives, Faculty of Social Sciences, University ofLjubljana; Co-Chair of the World Data System ECR Network) (15’; S5.1)
CODATA Connect Early Career and Alumni initiative
Shaily Gandhi (CEPT Research and Development Foundation, India) (15'; S5.2)
When Graduates Increase, So Must Faculty Members: Project for Training Experts in Statistical Sciences
Yoshinori Kawasaki (The Institute of Statistical Mathematics) (15'; S5.3)
Introduction of Data Science Activities for Young Researchers in IUGONET
Shun Imajo (Data Analysis Center for Geomagnetism and Space Magnetism,Graduate School of Science, Kyoto University) (15'; S5.4)
Navigating the Research Data Management Compliance Maze as an Indonesian Early-Career
Researcher: Unravelling Policies Across Borders
Madiareni Sulaiman (National Research and Innovation Agency, Indonesia;
University College London) (15’; S5.5)
DAEPO Projects of National Astronomical Data Center (NADC) in China
Shanshan Li (National Astronomical Observatories, Chinese Academy of Sciences) (15'; S5.6)