Rainer is partnering with Professor Park Kyung-ryul's lab at the Korea Advanced Institute of Science and Technology (KAIST) to jointly develop an artificial intelligence (AI) agent that supports policy research in the fields of science and technology policy and international development.
On September 22, Rainer announced that it has signed a memorandum of understanding (MOU) with Professor Park's Digital Innovation and International Development Lab (di-Lab) to develop and utilize AI technology for policy research.
The di-Lab focuses on the interaction between digital innovation and international development, conducting research in the areas of international development and science and technology policy. Professor Park serves as a member of the Presidential Economic Advisory Council and co-leads the AI Governance Research Group at New York University (NYU), participating in research related to AI governance and policy formulation.
Under this agreement, the two parties will utilize Rainer's academic research AI agent, 'Rainer Scholar,' to co-develop a knowledge graph and AI agent specialized in international development and science and technology policy. They also plan to empirically analyze the effects of AI on enhancing productivity in policy research and expanding access to knowledge.
A knowledge graph is a structured data framework that systematically organizes concepts and related information in a research field. The two parties aim to develop AI technology that analyzes policy-related materials and helps researchers efficiently find the information they need based on this framework.
The collaboration will focus on three main tasks: empirical research using Rainer Scholar in the research process, developing a knowledge graph and validation agent for the policy field, and conducting policy simulation research utilizing the knowledge graph.
Rainer's AI Strategy Head, Kang Jeong-gu, expressed enthusiasm about the collaboration, stating, “We are excited to work with KAIST's di-Lab, which has led in-depth research in the social sciences and science and technology policy. By combining Rainer's AI technology with di-Lab's expertise, we aim to enhance the productivity of policy research and create a representative case of AI collaboration in policy research that addresses global knowledge gaps.”
* This article has been translated by AI.
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