Context and Overview:
Maritime Industry collects a lot of data – for example, crew log, equipment log, logs of internal and external conditions of the ships, forms filled out at ports, canals, waterways, additional records by various agents. Given the variety and volume of data generated, Big Data in maritime can be categorized under these utilities – Managing vessels, cargo & ports, route & fleets.
MIV 2030 also mentions enhancing the operational efficiency in several areas such as Safe operation, Schedule management, Fleet planning, Fleet allocation, Maintenance, etc.
How is this bulk of data collected being used across the maritime sector to develop tools to enhance maritime operations?
Post COVID what type of predictive tools can assist in the digital transformation of the maritime sector? What options exist today? How are they lacking and what is the scope of research (if any)?
How was the problem statement formulated?
The IMRC 2022 problem statements are the result of Stage I – Confluence of Ideas conducted from August 2021 to October 2021. The Confluence of ideas involved the following activities:
The result was: 7 SOLID TOPICAL PROBLEM STATEMENTS formulated by the IMRC committee which require our attention on a priority basis, target SDGs, and are from various areas across the maritime sector.
Invitation to PARTICIPATE:
As we embark on Stage 2 – Participation, we welcome you to browse through these carefully selected and formulated problem statements. These will be the focus of IMRC 2022. We invite you to participate by nominating yourself or your colleagues who would like to join us as we explore solutions to these problem statements. You can contribute in several ways:
Fill the form and join us as we start the quest for sustainable solutions for the problem statements. You can fill the form below or click here to access the form: https://forms.office.com/r/h6jQJR0S0f
Based on your response and overall responses received globally, the select committee will shortlist and finalize contributors for each session.