Paper by Maojun Sun et al: “In recent years, data science agents powered by Large Language Models (LLMs), known as “data agents,” have shown significant potential to transform the traditional data analysis paradigm. This survey provides an overview of the evolution, capabilities, and applications of LLM-based data agents, highlighting their role in simplifying complex data tasks and lowering the entry barrier for users without related expertise. We explore current trends in the design of LLM-based frameworks, detailing essential features such as planning, reasoning, reflection, multi-agent collaboration, user interface, knowledge integration, and system design, which enable agents to address data-centric problems with minimal human intervention. Furthermore, we analyze several case studies to demonstrate the practical applications of various data agents in real-world scenarios. Finally, we identify key challenges and propose future research directions to advance the development of data agents into intelligent statistical analysis software…(More)”.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Data Collaboratives
Ethical and inclusive challenges of integrating AI and indigenous knowledge systems
Posted in October 23, 2026 by Stefaan Verhulst
Citizen Science
Collective Intelligence
PEOPLE
It Looked Like a New Species. The Trouble Was, It Didn’t Exist
Posted in October 22, 2026 by Stefaan Verhulst
DATA
Data Collaboratives
Data Spaces between Co‑ordination Challenges, Financial Viability and Public Policy
Posted in October 22, 2026 by Stefaan Verhulst