Special Talk（英語と日本語のハイブリッドで開催します）

2024年12月12日（木）
12:45 〜 14:00

ハイブリッド開催
現地参加：CiNet棟 大会議室
オンライン参加： こちらよりご登録ください（申込締切: 12月11日 正午）

演題：The role of data science in NeuroAI: Discussion on Challenges, Practices, and Solutions perception

米国ワシントン大学
Department of Physiology and Biophysics
Computational Neuroscience Center
助教
Edgar Walker

担当：西田 知史

Abstract:
Modern NeuroAI research—characterized by large-scale collaborations, complex neuronal recordings, and sophisticated machine learning analyses—demands robust data and code management practices. Yet, many research labs struggle to uphold best data science practices, hindering high-throughput research and compromising research reproducibility. In this interactive session, I will first present findings from our recent survey of U19 grants—multi-institutional neuroscience research projects funded through the NIH’s BRAIN Initiative in the USA—that reveal systematic challenges in current data science approaches across laboratories.

We will then examine practical challenges in coordinating diverse expertise and managing complex datasets and analyses across institutions, demonstrating how effective data science practices and tools are essential for project success. Finally, I will present our ongoing development of a flexible data processing pipeline framework that integrates data and code management, designed to scale from individual researchers to multi-laboratory collaborations. Researchers at all levels—from students to faculty—are encouraged to participate and share their perspectives throughout the session. Together, we aim to identify key challenges and potential solutions in data science to advance robust and reproducible research practices in our field.