Relational energy data is a comprehensive database in which energy-related research data (e.g., published papers) are used as primary sources for finding various relations and links. Energy issues have an inter-/trans-disciplinary character. Therefore, they should be tackled from multiple viewpoints, considering that each researcher has a different way of thinking about a goal. Furthermore, since cooperation among researchers is necessary for breakthrough ideas, the feasibility of realizing the ideas depends significantly on the team’s organization toward the goal. Therefore, to organize teams optimally and promptly, a researcher as principal investigator (PI) must quickly find the researchers who focus on the materials, technologies, systems, and theories that match the primary PI’s idea. In this module, as the first attempt, we focus on multiple module studies on CO2 and build relational energy data. Finally, we will build a tool (Visualization of an object-oriented researcher network) that automatically generates and visualizes the optimum researcher network.
The purpose of the module is to develop the tool for the efficient research team building
As the output of the Visualization of an object-oriented researcher-network based on the relational energy data, PI can select the points he/she wants to emphasize in the network generation, such as strong collaboration, high feasibility, etc. The originality of this research exists in this optimization algorithm, and the details of the algorithm will be announced sequentially in the “achievement” section.
Professor
Q-PIT
Project management, database design and building, validation and dissemination
Professor
Q-PIT
A provider of data related to the catalytic transformation CO2
Associate Professor
Faculty of Agriculture
A provider of data related to the CO2 utilization in the agriculture
Professor
Department of International Economy and Business
A provider of data related to the CO2 emissions in various areas (industry, infrastructure, residential sector etc.)
Professor
Department of Advanced Information Technology
Database check, testing and validation
Professor
Department of Applied Quantum Physics and Nuclear Engineering
Database check, testing and validation
Professor
Department of Applied Molecular Chemistry
Database check, testing and validation
Associate Professor
Q-PIT
Data collection, database support, relations visualization
Associate Professor
Q-PIT
Data collection, database support, relations visualization
Using the output of the Visualization of an object-oriented researcher-network based on the relational energy data system, the PI can choose the points he/she wants to emphasize in the research network generation, such as strong collaboration, high feasibility, high impact, etc. We aim to build a system effective for rapid visualization of human networks and also as a tool for initial contact between researchers who have never met before. It can also be used to visualize the “absence” of essential factors and can be a reference when considering corporate collaboration and organizational structure between academia and companies.
(coming soon)
