Third Meeting on Management and Utilization of Research Data for AI in Science to Be Held Soon

Upcoming Meeting on AI and Research Data Management

The Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan is set to hold the third meeting of the working group dedicated to the management and utilization of research data that supports AI for Science. This important gathering is scheduled for March 26, 2023, from 4:00 PM to 6:00 PM (JST). It will take place in a hybrid format at the 17th-floor meeting room 4 of the MEXT headquarters and online.

Agenda

The main focus of this meeting will be on the management, utilization, and distribution of research data that backs AI in the scientific community. This topic is increasingly relevant as AI technologies develop rapidly, and the exploration of how to effectively manage scientific data is critical for future advancements in this field. In addition to the primary agenda, there may be discussions around other relevant topics, fostering an inclusive environment for contributors from various sectors.

Observing the Meeting

Those interested in attending the meeting as observers are required to register by March 25, 2023, at 5:00 PM (JST). Registration can be completed via a specific online form, where attendees will need to provide their name, affiliation, and email address.

It is important to note that while the discussions will be made available online for public access, in-person attendance will be limited based on capacity constraints. Consequently, participants may not be able to partake actively in the discussions or raise questions during this meeting. All registered individuals will receive additional details about meeting materials and access methods via email.

Please be aware that due to potential technical difficulties and connectivity issues, there may be interruptions during the online session.

Additional Information

For queries regarding the meeting, interested individuals can contact the Research Promotion Bureau's Academic Infrastructure Development Division via email at [email protected]. This meeting represents a crucial step in aligning scientific research with innovative AI technologies, ensuring that relevant data is effectively harnessed and shared.

This working group continues to emphasize the importance of collaborative efforts and interdisciplinary approaches in the realm of AI for science, particularly in a digital age where data plays a pivotal role in shaping scientific discovery and application. The outcome of these discussions will bear significant implications for policy-making and data management practices moving forward.