Computational Maritime Economics and Technology

Dear Colleagues,

Developments in computational intelligence and new technologies have generated a new research stream for maritime economics and the shipping industry. New methodologies have been implemented and tested for various research questions related to the prices of ships, freight markets, operations research (optimization problems), analytics, financial planning, e-commerce applications, online services, among others. A growing literature and academic interest also demand a new set of know-how and expertise which are not conventionally acquired.

Computational intelligence as a general term refers to machine learning (e.g. deep learning, support vector machine), executing complex calculations (e.g. grid search, large size simulations, complex optimization problems), analyzing data from sensing devices (e.g. IoT, AIS), digitization and digital transformation, collecting and processing certain types of data by utilizing automated systems (e.g. robotic process automation), handling big databases, database management and data integration (e.g. data structuring, semantics), cryptography (e.g. blockchain, cyber security), and multi-agent modelling for economic and operational problems.

An increasing volume of applications of new technologies raises several problems such as cyber immunity, privacy, governance, proper regulatory framework, future-proofing, work force transformation, and supply chain integration, among others. In this regard, this special issue also welcomes academic research addressing issues that follow from these questions.

The aim of this special issue is to address potential applications, pain points and computational solutions to industrial and social problems of maritime, port, and supply chain commerce. Moreover, the governance, policies and strategies around the maritime technology space are also in the scope of this special issue.

The following topics are potentially considered in the scope of this special issue (but not limited to):

• Maritime technology, innovations, technology forecasting, technology management
• Environmental technologies, sustainability of technology and technologies for sustainability
• Entrepreneurship and the maritime start-up space, evolution and survival of maritime tech firms, Venture capital, angel investors, maritime start-up accelerators
• Economic modelling of global or local supply chain integration
• National and international regulations in the maritime digital space
• Talent transformation, skillset forecasting, work force policies
• Policy making and public governance for digital solutions
• New economic and financial systems in the maritime industry
• Supply chain integration using technology
• Cyber-security, cyber hygiene, cyber immunity, maritime cyber risk management
• Automation and control of maritime systems (ships, ports, maritime and hinterland logistics)
• Maritime supply chain applications of blockchain, cryptography, data standardization, digital blueprints

Typical Methodologies we might see

• Neural Networks and other machine learning applications
• Predictive, Prescriptive and Pre-Emptive Analytics
• Evolutionary computation, fuzzy logic
• System identification, model predictive control (MPC)
• Optimization problems in the maritime industry
• Simulation studies
• Game theory applications
• Forecasting with and without shocks
• Database management, semantics, digitalization
• Digital twins, virtual models, virtual simulations
  

Prof. Okan Duru
Dr. Chris Clott
Dr. Bruce Hartman
Dr. Sinem Celik Girgin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Maritime Economics
• Maritime Technology and Innovations
• Supply-Chain Management
• Automation and Control of Maritime Systems
• Digitalization
• Computational Intelligence
• Data Analytics
• Cyber-Security