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The IQT Podcast explores and offers insight about rapidly evolving technology trends and their impact and contributions to national security. Subscribe to hear from IQT and other thought leaders across a variety of tech domains, including AI and machine learning, biotechnology, autonomous systems, and more. IQT identifies, adapts, and delivers technology solutions from commercial startups to support the national security missions of the U.S. and its allies. Learn more at www.iqt.org.
Episodes
Tuesday Aug 11, 2020
Using AI to Identify Valuable Patterns in Data, with Outlier.AI’s Sean Byrnes
Tuesday Aug 11, 2020
Tuesday Aug 11, 2020
In this episode of the B.Next Outbreak Analytics & Forecasting Series, Dr. Dylan George sits down with Sean Byrnes, CEO of Outlier.AI, (an In-Q-Tel portfolio company) in a discussion about looking for insights – changes, indicators – from the bottom up rather than asking questions from the top down. Outlier produces a coronavirus tracker, a daily report on Outlier’s findings in the pandemic data. The company is focused on helping organizations identify unexpected changes within their critical business data.
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Tuesday Aug 11, 2020
Catastrophic Modeling and Risk Analytics, with Metabiota’s Nita Madhav
Tuesday Aug 11, 2020
Tuesday Aug 11, 2020
In this episode of the B.Next Outbreak Analytics & Forecasting series, Drs. Dylan George and Caitlin Rivers are joined by Nita Madhav, CEO of Metabiota, an In-Q-Tel portfolio company working to make the world more resilient to epidemics. The trio explore Metabiota’s use of data to understand and report epidemic preparedness levels across nearly 200 countries, epidemiological modeling to understand disease spread, and a fear index revealing economic impact from coronavirus.
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Tuesday Aug 04, 2020
The Value of Data and Analytics in Outbreak Response, with Dr. Tom Frieden
Tuesday Aug 04, 2020
Tuesday Aug 04, 2020
Data plus analytics (with human intelligence) will yield better informed decision making. Join Dr. Tom Frieden, former Director of the Centers for Disease Control and Prevention and former Commissioner of the New York City Health Department, and now President and CEO of Resolve to Save Lives, an initiative of Vital Strategies, and series hosts Drs. Dylan George and Caitlin Rivers as they explore what data should be collected and analyzed to enable an appropriate public health response to novel coronavirus and other public health challenges.
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Tuesday Aug 04, 2020
Advanced Concepts in Outbreak Analytics Modeling, with Dr. Marita Zimmermann
Tuesday Aug 04, 2020
Tuesday Aug 04, 2020
Modeling is vital to understanding disease spread and optimal interventions. In this episode of the B.Next Outbreak Analytics & Forecasting series, Dr. Marita Zimmermann, Affiliate Assistant Professor and Research Economist at the Institute for Disease Modeling, discusses with Dr. Dylan George the need for modeling and how it’s used to understand which people are at risk for COVID-19 and determine public health interventions to minimize their risk.
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Tuesday Aug 04, 2020
Tuesday Aug 04, 2020
In this episode of the B.Next Outbreak Analytics & Forecasting series, Drs. Dylan George and Caitlin Rivers are joined by Dr. Nick Reich, one of the leading researchers who is building operational forecasting capabilities in collaboration with public health agencies. Listen in as they discuss the need for better quantity and quality data to have more high-resolution, real-time data to enable better modeling and guide response efforts, and the development of the CDC COVID-19 Forecasting Hub.
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Tuesday Jul 28, 2020
Call for a National Forecasting Center
Tuesday Jul 28, 2020
Tuesday Jul 28, 2020
Today, weather forecasters can spot the development of a tropical storm and use models to help determine its path and strength, which is incredibly important to protect those in its path. In episode four of the B.Next Outbreak Analytics & Forecasting series, Drs. Dylan George and Caitlin Rivers explain why the world needs a disease forecasting center now more than ever, and how it could work to inform decision making among government, policy makers, the public health community, and more to minimize disease spread.
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Tuesday Jul 28, 2020
Tuesday Jul 28, 2020
Episode three of the B.Next Outbreak Analytics & Forecasting series features Dr. Steven Riley from Imperial College of London, with Drs. Dylan George and Caitlin Rivers exploring the importance of the infection mortality rate, the value, and need for the public health community to embrace data and use it better.
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Tuesday Jul 28, 2020
Infectious Disease Modeling & Forecasting, with Dr. Jeff Shaman
Tuesday Jul 28, 2020
Tuesday Jul 28, 2020
Episode two of the B.Next Outbreak Analytics & Forecasting series features Dr. Dylan George discussing simulated forecasting in infectious disease with Dr. Jeff Shaman, professor at Columbia University and director of the Climate and Health program at the Mailman School of Public Health. Analyzing the past to develop models may be able to inform the trajectory of infectious disease activity in the near-term future and allows for public health officials to consider real-world intervention strategies to help mitigate the spread of disease.
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Tuesday Jul 28, 2020
Disease Outbreak Analytics & Forecasting 101
Tuesday Jul 28, 2020
Tuesday Jul 28, 2020
In the era of COVID-19, you’ve likely heard the terms outbreak analytics and forecasting being used more frequently. This episode kicks off a special B.Next series that will investigate outbreak analytics and forecasting, how it’s being used to help with pandemic response efforts, and what’s needed to improve these capabilities. Dr. Dylan George, Vice President at IQT’s B.Next, and Dr. Caitlin Rivers, Assistant Professor at the Johns Hopkins Bloomberg School of Public Health and Center of Health Security, lead today’s discussion to provide an overview of how outbreak analytics are useful and critical tools in understanding the risks of the pandemic and how to best mitigate them.
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Monday Jun 01, 2020
Good Data is Hard, but the Training Must Go On
Monday Jun 01, 2020
Monday Jun 01, 2020
When it comes to good datasets, which is more important: quality or quantity? This episode explores three different IQT Labs projects across different domains, specifically examining quality and quantity considerations. Hear about the parallels between our projects within the geospatial, biotechnology, and synthetic data domains, as well as lessons learned about good training data characteristics.
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