Big data, artificial intelligence and biosecurity on the global stage 1

Published on February 28, 2023   24 min

A selection of talks on Pharmaceutical Sciences

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0:00
Welcome to this HST talk. My name is Dr. James Giordano, and today we'll be addressing big data, artificial intelligence and biosecurity on the global stage. This is the first part of a two-part series that addresses these issues. So join me, if you will, for the next few minutes as we dive more deeply into these topics and their implications.
0:23
The information and views presented in these presentations are mine and do not necessarily reflect those of any of the funding agencies, organizations that have so generously supported my work, inclusive of the United States Department of Defense, United States Naval War College, United States Naval Academy, the Defense Advanced Research Projects Agency, or those institutions that have provided ongoing funding for each and all of the topics addressed.
0:50
To that end, it becomes important to acknowledge who those funders were, and this work was supported in part by funding from the Henry Jackson Foundation, the United States Department of Defense, leadership initiatives and by federal funds from the National Institutes of Health as well as the National Science Foundation.
1:08
Ongoing progress in data and cyber science and technology, what is colloquially referred to as DCST, engages the reciprocity between what we know and what we can do, and what we can do and therefore what we know. It's an interesting dance that engages the tools we have at hand with the theories we develop. From those theories, the need to then develop more tools to both validate those theories and explore their possibilities and articulation. This then brings us to the second part of that proverbial dance, tasks-to-tools and tools-to-tasks. In other words, what are the tools we have at hand and what tasks do they allow? What tasks are we trying to accomplish, and what tools are needed? In many ways, this bespeaks the ongoing progress in much of science and technology, but certainly that which exists in data science, cyber science, and the technologies that are important for its realization.

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