OIST-RIKEN Joint Workshop|PREDICTION|RIKEN

Date: December 20, 2023 (Wed) - 22 (Fri)
Venue: OIST 1919-1 Tancha, Onna-son, Kunigami-gun, Okinawa Prefecture, Japan
Sydney Brenner Lecture Theater (Seminar Room B250)
Seaside house
Participants: Scientists from RIKEN and OIST
Language: English
Participation fee: Free

Objective

This workshop, jointly hosted by RIKEN Pioneering Projects "Prediction for Science" and OIST, aims to foster interdisciplinary collaboration between OIST and RIKEN researchers. It provides a platform to share their latest discoveries related to "Prediction Science", focusing on its mathematical foundations like data assimilation, topological data analysis, artificial intelligence, as well as its practical applications in weather forecasting, tsunami prediction, prediction in biology and medical science, etc.

Program

Poster presentation application: Link to application form
Target: Researchers from OIST or RIKEN in the fields of mathematics, physics, data assimilation, artificial intelligence, neural science, biology, medical science, disastrous science, and other fields.

Day 1: December 20

Time	Speaker
13:15-13:30	Overview of RIKEN Pioneering Project "Prediction for Science"
13:30-14:20	Iyan Mulia (Ueda Team), Machine learning applications for tsunami and storm surge predictions
	Break (10 min.)
14:30-15:30	Pinaki sensei's invited speakers Satoshi Mitarai, Wave Glider observations of surface winds and currents within typhoon cores, 30 min Hanley Andrean, Towards a new conceptual understanding of the decay of landfalling typhoons, 30 min
	Move to Seaside house
16:30-18:00	Poster session
	Dinner (Seaside house)

Day 2: December 21

Time	Speaker
9:30-10:20	Goshi Ogita (Shibata Team)
	Break (20 min.)
10:40-11:30	Kaman Kong (parameter estimation; Tomita Team)
	Lunch
12:30-14:00	OIST Campus Tour
14:00-16:00	Yamada sensei's unit Makoto Yamada, OIST (Optimal transport), 30 min Clea Laouar, OIST Ph.D. student (Optimal transport), 30 min Kira Dusterwald, UCL Gatsby Ph.D. student and OIST intern (Neuroscience), 30 min Yuki Takezawa, Kyoto University/OIST (Distributed Learning or LLM watermarking), 30 min
16:15-18:15	Pinaki sensei and his invited speakers Gerald Pao, Extreme nonlinearity and the prediction of causality without correlation on low dimensional manifolds, 1 hr Tunggul Bhirawa, The Influence of Airflow Separation and Gravity-Capillary Waves to the Drag over Wind-Waves, 30 min Pinaki Chakraborty, Predicting the evolution of the warm core of a landfalling typhoon, 30 min

Day 3: December 22

Time	Speaker
9:30-10:00	Cédric Ho Thanh (Seita Team)
10:00-10:50	Ruiming Li (Kawakami Team)
	Break (10 min.)
11:00-11:50	Ken Furukawa (Kawakami Team)
	Lunch
13:00-13:50	Lin Li (typhoons' controllability; Miyoshi Team)
	Break (10 min.)
14:00-14:30	Invited speaker: Greg Stephens, 30 min
14:30-15:00	Conclusion & Discussion

Poster presentations

Seiya NISHIZAWA (Computational Climate Science Research Team, RIKEN): Evaluation of estimated probability distributions
Jianyu LIANG (Prediction Science Laboratory, RIKEN): Developing observation operator based on machine learning model for satellite data assimilation
Jianyu LIANG (Prediction Science Laboratory, RIKEN): Understanding the Dynamics of Venus Atmosphere using Bred Vectors
Tung Cheng HO (Computational Disaster Mitigation and Reduction Research Team, RIKEN): From tsunami source estimation to prediction
Shun OHISHI (Data Assimilation Research Team, RIKEN): A new ensemble ocean analysis dataset LORA (LETKF-based Ocean Research Analysis)
Yasumitsu MAEJIMA (Data assimilation research team, RIKEN): A Control Simulation Experiment for August 2014 Severe Rainfall Event Using a Regional Model
Ryohei NISHIZAWA (Laboratory for Physical Biology, BDR, RIKEN): Machine learning-based quantification of nuclear behavior to understand chiral properties of multicellular colonies
Rakesh Teja KONDURU (Data assimilation research team, RIKEN): Scale-Dependent RMSE Diagnostics in Data Assimilation: Insights from an OSSE approach with NICAM-LETKF

Participants

RIKEN

Prediction Science Laboratory: Takemasa MIYOSHI, Takashi SAKAJO, Lin LI, Jianyu LIANG, Saeko IMANO
Data Assimilation Research Team: Shun OHISHI, Yasumitsu MAEJIMA, Rakesh Teja KONDURU
Interdisciplinary Theoretical and Mathematical Sciences Program: Takashi TSUBOI
Disaster Resilience Science Team: Naonori UEDA, Iyan MULIA
Environmental Metabolic Analysis Research Team: Jun KIKUCHI
Computational Climate Science Research Team: Seiya NISHIZAWA, Kaman KONG
Medical Data Deep Learning Team: Jun SEITA, Cedric HOTHANH, Dorothy ELLIS
Medical Data Mathematical Reasoning Team: Eiryo KAWAKAMI, Ken FURUKAWA, Ruiming LI
Laboratory for Physical Biology: Tatsuo SHIBATA, Goshi OGITA, Ryohei NISHIZAWA

RIKEN (General participation)

Computational Disaster Mitigation and Reduction Research Team: Tung Cheng HO

OIST

Fluid Mechanics Unit: Pinaki Chakraborty and others
Machine Learning and Data Science Unit: Makoto YAMADA and others

Organized by

Prediction Science Laboratory, RIKEN
Data Assimilation Research Team, RIKEN
Interdisciplinary Theoretical and Mathematical Sciences Program, RIKEN
Disaster Resilience Science Team, RIKEN
Environmental Metabolic Analysis Research Team, RIKEN
Computational Climate Science Research Team, RIKEN
Medical Data Deep Learning Team, RIKEN
Medical Data Mathematical Reasoning Team, RIKEN
Laboratory for Physical Biology, RIKEN
Fluid Mechanics Unit, OIST
Machine Learning and Data Science Unit, OIST

Contact

prediction-seminar@ml.riken.jp

OIST-RIKEN Joint Workshop on Prediction Science