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Thursday, September 26 • 10:48am - 11:06am
Knowledge as Infrastructure

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Knowledge networks that encode curated information about data, tools, processes, and the science itself will be essential cyberinfrastructure for the future. Recognizing the importance of knowledge graphs, the US National Science Foundation has embraced the creation of an Open Knowledge Network through its newly announced Convergence Accelerator pilot.

The Convergence Accelerator pilot started with a singular vision: to identify areas of research where investment in convergent approaches -- those bringing together people across disciplines to solve problems – have the potential to yield high-benefit results. The Convergence Accelerator seeks to expand and refine NSF's efforts to support fundamental scientific exploration through partnerships that potentially include stakeholders from industry, government, nonprofits and other sectors.

Tracing the evolution of eScience topics from its first year of establishment in 2005, one finds topics such as web services, service-oriented architecture, grid computing, high-performance computing, data management and digital repositories, dataflow, middleware, cloud computing, In future, eScience will be assisted by AI—intelligent agents, smart instruments, smart tutors, machine learning and deep learning for data interpretation, and the like. Knowledge graphs are essential to the success of such AI and are, therefore, central to eScience.

This talk will introduce challenges and opportunities of knowledge networks and will provide an overview of the NSF Convergence Accelerator for the Open Knowledge Network.


Chaitan Baru

Senior Science Advisor, National Science Foundation

Thursday September 26, 2019 10:48am - 11:06am
Toucan Room