Research and development in the RAIR Lab ranges across a number of applied projects, as well as across many of the fundamental questions AI raises (e.g., Are we machines ourselves? If so, what sort of machines?). Everything is to a high degree unified by the fact that the formalisms, tools, techniques, systems, etc. that underlie the lab's R&D are invariably based on reasoning.
The Network Science and Technology (NEST) Center is focused on the fundamental research and engineering of natural and technological networks, ranging from social and cognitive networks to computer networks.
The Rensselaer-IBM Artificial Intelligence Research Collaboration (AIRC), a member of the IBM AI Horizons, is dedicated to advancing the science of artificial intelligence and enabling the use of AI and machine learning in research investigations, innovations, and applications of joint interest to both Rensselaer and IBM.
The Center for a Digital Society emphasizes the use of science and technology to support research and society. The Center has hosted the primary office for Research Data Alliance / United States (U.S. participants of the international Research Data Alliance) and focuses on research in the area of Public Interest Technology.
The mission of the RARE Center is to advance the field of astrobiology by catalyzing innovative and interdisciplinary research through novel training and educational programs, and by modeling serving as a platform to evolve a multidisciplinary collection of research programs into a truly interdisciplinary and interactive collaborative network. The RARE Center brings together researchers from across RPI, along with national and international colleagues and partners, who are broadly interested in the field of Astrobiology.
The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) is a constellation of multidisciplinary researchers who study the scientific and engineering principles that underlie the Web, to enhance the Web's reach beyond the desktop and laptop computer, and develops new technologies and languages that expand the capabilities of the Web under three themes: Future Web, Xinformatics and Semantic Foundations.
Complex problems require interdisciplinary solutions. The Rensselaer Data Science Research Center develops the technologies to enable that multidisciplinary research. The center acquires, processes, archives, analyzes, model, visualizes, simulates, and disseminates complex data to close the data-to-knowledge gap across multiple time and length scales.
The Jefferson Project at Lake George—a collaboration between Rensselaer Polytechnic Institute, IBM Research, and The FUND for Lake George—is an unprecedented technological approach to studying fresh water so we can understand impacts of human activities and how to mitigate those effects. The Jefferson Project combines Internet-of-Things technology and powerful analytics with lake and atmospheric science to create a new model for environmental monitoring and prediction.