Mathematical and Statistical Foundations for Knowledge Graph Reasoning (26w5657)
Organizers
Yuzhou Chen (University of California, Riverside)
Ivor Cribben (University of Alberta)
Yulia Gel (University of Texas at Dallas)
Jennifer C. Wei (NASA)
Description
The Casa Matemática Oaxaca (CMO) will host the "Mathematical and Statistical Foundations for Knowledge Graph Reasoning" workshop in Oaxaca, from June 14 to June 19, 2026.
This workshop will gather researchers across mathematics, statistics, artificial intelligence, and data science, working on the emerging concepts of knowledge graphs. This inherently interdisciplinary 5-day workshop will focus on the principles behind knowledge graphs and their utility in a broad range of domains, from social to regulatory to Earth sciences. Participants will have the opportunity to (i) gain deeper insights into cutting-edge research and methodologies for developing and deploying computational models in knowledge graph reasoning, (ii) establish interdisciplinary collaborations across academia, industry and federal agencies to accelerate knowledge discovery and knowledge synthesis, and (iii) contribute to advancing novel mathematical and statistical foundations at the nexus of knowledge graphs and artificial intelligence.
The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF) and Alberta Technology and Innovation. The research station in Oaxaca is funded by UNAM and IIMAS.