Project

The project investigates how Chat GPT can be utilised in ship chartering. The project is divided into two work packages: WP1 qualitatively investigates the potentials and barriers to using chat GPT in specific chartering activities across the different segments. WP2 contains a quantitative analysis of how the use of chatGPT affects rates, commissions and transaction patterns over time.

CAPeX will develop and implement a new powerful Materials Acceleration Platform (MAP) for rapid development of materials and a closed-loop data infrastructure where new catalysts and other materials for power-to-X are discovered, synthesized and designed directly for their intended operating conditions.

Industrial PhD project at Roskilde University together with with SeaLytix on the development of stowage algorithms and AI for energy efficient liner shipping.

The purpose of this project is to develop new algorithms and AI methods to optimize the loading of the container vessels. The project also aims at engagning the open research environment with standard descriptions of the problems and the development of new experts to the area.

The project uses digital innovation to monitor RoRo shipping emissions and optimize the industry operational and strategic planning. By doing so, we reduce the fuel consumption of the used vessels, which have the highest impact factor on the GHG emissions produced during maritime shipping.