Two conference presentations are added in the achievement list

– Chathumi Ayanthi KavirathnaRyuichi Shibasaki,Trends and perspectives on Arctic shipping potential from scientific research, in: ID:08 – Arctic Engineering – Research Supporting a Better Life in the Cold, Arctic Science Summit Week 2021, 24 March 2021, online

– Chathumi Ayanthi KavirathnaRyuichi Shibasaki, Economic feasibility of Arctic shipping from multiple perspectives: a systematic review, Joint Seminar on Mombetsu Sea Ice Symposium 2021, 8 March 2021, online

01/04/2021

Two journal papers are added

– Chathumi Ayanthi KavirathnaRyuichi Shibasaki, Economic feasibility of Arctic shipping from multiple perspectives: a systematic review, Okhotsk Sea and Polar Oceans Research, 5, 2021 (accepted)

– Takuya YamaguchiRyuichi Shibasaki, Hiroyuki Samizo, Hisanari Ushirooka, Impact on Myanmar’s Logistics Efficiency of the East–West and Southern Corridor Development of the Greater Mekong Subregion – A Global Logistics Intermodal Network SimulationSustainability, 13(2), 668, 2021 doi: 10.3390/su13020668

19/01/2021

Three Master Course Students were awarded 1st place in the category All-Student Teams at the first United Nations AIS Big Data Hackathon

Our department website

Our school website

==Award date==
September 22, 2020

1.Name
Kodai Yasuda, Liwen Murong, Minato Nakashima

2.Faculty/Graduate School, Department (Stream / Program) / Major
(Kodai Yasuda) M1 student, Department of Systems Innovation, School of Engineering
(Liwen Murong & Minato Nakashima) M2 student, Department of Systems Innovation, School of Engineering

3.Name of award and short explanation about the award
(Name) 1st place in All-Student Teams at the first United Nations AIS Big Data Hackathon
(Explanation) Participating in the AIS Bigdata Hackathon hosted by United Nations Conference on Trade and Development (UNCTAD), and achieving the 1st place among 17 all-student teams.

4.About awarded research
AIS Hackathon is a three-day event, focusing on exploring novel findings by using 3.6TB AIS data. AIS data is collected by equipment installed in ships, consisting of static information, such as total weight of ships and built year, and dynamic information collected every few seconds or minutes, such as speed and destination. All members including Mr. Hoshi Tagawa (Tokyo Tech) and Mr. Takumi Kamata (Hirosima Univ.) from our research team are conducting AIS-related research. During AIS Hackathon, the influence of COVID-19 on vessel movement is revealed. Based on findings from various perspectives, we are able to win the first place among all-student teams.

5.Your impression & future plan
This award is an impetus for us to continue doing our best in the following research.

06/01/2021