Building Blocks for Precise Location Data and Powerful Developer Tools, with Mapbox’s Mikel Maron
In the final episode of the B.Next Outbreak Analytics & Forecasting series, Drs. Dylan George and Caitlin Rivers are joined by Mikel Maron, Community Team Lead at Mapbox, a company offering location data platform for mobile and web applications. The rise in ubiquity of mobile devices has enabled the power of location-based tools. This episode explores how these tools can help us better understand and combat COVID-19.
How Technology is Augmenting Public Health, with OmniSci’s Todd Mostak
In this episode of the B.Next Outbreak Analytics & Forecasting series, Todd Mostak, CEO and Founder of OmniSci, an In-Q-Tel portfolio company focused on massively accelerated analytics and data science, joins Dr. Dylan George as they discuss the power of the company’s platform to understand patterns in movement and the spread of COVID-19, and its use in contact tracing and hot spot analysis.
Visualizing Data During a Pandemic, with Plotly’s Nicolas Kruchten
In this episode of the B.Next Outbreak Analytics & Forecasting series, Dr. Dylan George is joined by Nicolas Kruchten, VP of Product at Plotly, an In-Q-Tel portfolio company helping leading organizations close the gap between data science and the rest of the organization. Learn about the power of good data visualizations and how they can help guide decision-making and aid in COVID-19 response.
- Roundup of Dash apps made by community and partners: https://moderndata.plotly.com/covid-19-dash-apps/
- Singapore Ministry of Health: https://covidsitrep.moh.gov.sg/
- Nursing home data and app: https://covid-19-response.demo.socrata.com/stories/s/3eae-9zd5 and https://tylertech.plotly.com/
- Johns Hopkins Coronavirus Resource Center: https://coronavirus.jhu.edu/data/new-cases
- Tracking and Comparing projections: https://www.covid-projections.com/
- NVIDIA RAPIDS app: https://github.com/rapidsai/plotly-dash-rapids-census-demo/tree/covid-19
- Traffic analysis app by Stantec: https://covid-vmt.stantec.global/
Risk Analytics in a Pandemic, with Metabiota’s Nathan Wolfe
In this episode of the B.Next Outbreak Analytics & Forecasting series, B.Next’s Dr. Dylan George and IQT’s Ryan Lewis are joined by Nathan Wolfe of In-Q-Tel portfolio company Metabiota. Tune in as they discuss Nathan’s work as a virus hunter, their hope for the novel coronavirus to be a once in a lifetime event, the need for real-time prediction system for pandemic risk, and more.
The Effect Disease Modeling Has on Interventions and Planning Scenarios, with Marc Lipsitch
Marc Lipsitch, Professor in the Departments of Epidemiology and Immunology and Infectious Diseases at Harvard University, and Director of the Center for Communicable Diseases and Dynamics joins hosts Drs. Dylan George and Caitlin Rivers as they consider data analytics, public health interventions, disease modeling, and the need for the public health community to be at the fore to help implement, design, and execute strategies to manage the COVID-19 response.
Using AI to Identify Valuable Patterns in Data, with Outlier.AI’s Sean Byrnes
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.
Catastrophic Modeling and Risk Analytics, with Metabiota’s Nita Madhav
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.
The Value of Data and Analytics in Outbreak Response, with Dr. Tom Frieden
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.
Advanced Concepts in Outbreak Analytics Modeling, with Dr. Marita Zimmermann
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.
How Disease Modeling Can Help Inform Public Health Decision Making, with Dr. Nick Reich
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.
Call for a National Forecasting Center
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.
Exploring the Value Proposition for Better Disease Outbreak Data and Forecasting, with Dr. Steven Riley
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.
Infectious Disease Modeling & Forecasting, with Dr. Jeff Shaman
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.
Disease Outbreak Analytics & Forecasting 101
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.
Good Data is Hard, but the Training Must Go On
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.
B.Next Breaks Down COVID-19 – Testing Technologies
What are some of the challenges associated with diagnostics and testing surrounding COVID-19? B.Next’s Drs. Kevin O’Connell and Dylan George discuss recent pandemic developments and explore the importance of testing, why it's been challenging, and the exciting technologies that we should look forward to coming soon.
Leveraging Sensors to Monitor Patient Health Remotely
Hospitals across the world are operating under a contingency standard of care due to COVID-19. Could the strain of resources be alleviated through remote monitoring of patients through their wearable devices? In this episode, B.Next’s Dr. Dan Hanfling and In-Q-Tel’s Kevin Schaeffer explore wearable sensor technology and how it can affect and help in monitoring patient health.
Learn more at www.bnext.org.
B.Next Breaks Down COVID-19 - Vaccines 101
What goes into the development of vaccines, specifically ones to combat COVID-19? B.Next Drs. Kevin O’Connell and Dylan George are joined by Dr. Luciana Borio to discuss the technology and factors involved in creating safe and effective vaccines. Learn more about the scale and timeline of vaccine manufacturing, the level and duration of protective immunity, different phases of clinical studies, distribution logistics, and more as the team breaks down what it takes to develop a very complex countermeasure. Note, this podcast was recorded on 5/15 before Operation Warp Speed was announced, which you may learn more about at the link below.
Links referenced and other resources:
• The race for coronavirus vaccines: a graphical guide
• US Begins 'Warp Speed' Vaccine Push as Studies Ramp Up
B.Next Breaks Down COVID-19 - A Q&A
B.Next Drs. Kevin O’Connell, Dylan George, and Dan Hanfling are back to help break down the COVID-19 outbreak and the role of technology in defeating the pandemic. This week the trio answers listener questions about the antibody test and immunity, recommendations for hospitals, potential seasonality of the virus, vaccines, testing, and more. Learn more about B.Next’s initiatives at www.bnext.org.
B.Next Breaks Down COVID-19 – Visualizing Data Surrounding a Pandemic
B.Next’s Drs. Kevin O’Connell and Dylan George are joined by IQT Labs’ visualization expert, Andrea Brennen, to discuss the importance of visualizing data to help better absorb and understand epidemics and pandemics. Hear about the research IQT has done on visualizing uncertainty with their Viziflu project, a collaboration with the CDC to help formulate infectious disease forecasts, and how this work may be used to better analyze the COVID-19 pandemic.
Learn more about Viziflu:
B.Next Breaks Down COVID-19 with Ginkgo Bioworks
B.Next’s Dr. Kevin O’Connell is joined by Patrick Boyle, Head of Codebase at Ginkgo Bioworks, the organism company that uses the most advanced technology on the planet—biology—to grow better products. Listen in as the two explore the world of synthetic biology and discuss how Ginkgo is pivoting the use of its platform to aid in COVID-19 response.
B.Next works at the intersection of biotechnology, innovation, and public health. The team is tackling the challenge that we, the world, is facing today.
B.Next Breaks Down COVID-19 – Physical Distancing & Contact Tracing Technologies
B.Next Drs. Dylan George and Dan Hanfling explore the impact of physical distancing and the contact tracing technologies that can be helpful for COVID-19 response. B.Next works at the intersection of biotechnology, innovation, and public health. The team is tackling the challenge that we, the world, is facing today. Note, this podcast was recorded on 4/9/20.
B.Next Breaks Down COVID-19 – Crisis Standards of Care
B.Next Drs. Kevin O’Connell, Dylan George, and Dan Hanfling join the podcast to discuss the importance of public health measures, including social distancing, and provide an understanding of the crisis standards of care surrounding COVID-19, the novel coronavirus. B.Next works at the intersection of biotechnology, innovation, and public health. The team is tackling the challenge that we, the world, is facing today. Note, this podcast was recorded on 3/26/20.
B.Next Breaks Down COVID-19 – Epidemiology, Diagnostic Tools, & Testing
How can we prepare for, and combat, infectious disease outbreaks? B.Next’s Kevin O’Connell and Dylan George join the podcast to discuss the epidemiology, diagnostic tools, and testing surrounding COVID-19, the novel coronavirus. B.Next works at the intersection of biotechnology, innovation, and public health. The team is tackling the challenge that we, the world, is facing today. Note, this podcast was recorded on 3/20/20.
Autonomous Delivery: Beyond the Self-Driving Car
There’s a lot of talk about self-driving cars, yet autonomy includes far more than cars. There's a great amount of interest and development in autonomous delivery, which offers solutions that transport goods or people either in air, land, or water. This episode covers the autonomous delivery landscape, who is working on it, and what to expect in the coming years.
Spatial Computing in a 3D World
With geospatial technologies and 3D data collection platforms like LiDAR and photogrammetry becoming more mainstream, the pieces of a larger tech confluence are already in place and starting to augment our daily lives. This episode dives into spatial computing and how 3D data is used to create digital scaffolds of machine and human readable information for autonomous systems, mixed reality platforms, and beyond.
State of affAIrs
Artificial intelligence (AI) is baked into virtually every modern software application we use. From automatic spam filters in your email account, to recommending movies to watch on Netflix or products to buy from Amazon, AI is pervasive in consumer applications. This episode discusses the rise of AI devices, how far they've come, and what the future might hold for the technology.
This podcast originally aired in May 2019 and some content may be dated.
Trust Me…Privacy and Security in Data Science
This episode explores the field of data science and privacy and how laws like GDPR are changing the market and technology landscape.
This podcast originally aired in April 2019 and some content may be dated.
Give Us Some (Social) Credit!
Can futuristic technology depicted in pop culture come to fruition? This episode explores the technology behind the popular “Black Mirror” episode, “Nosedive”, and aspects of ethical decision making.
This podcast originally aired in February 2019 and some content may be dated.
Training an Autonomous Agent
IQT’s Lab41 discusses how reinforcement learning can be used to train an autonomous agent to play their all-time favorite 1st person shooter video game: Doom! Listen in as they discuss some of the mechanics behind training the agent and interesting issues that arise when trying to optimize the agent.
This podcast originally aired in January 2019 and some content may be dated.
Open Data, AWS, and the VOiCES Dataset
The Voices Obscured in Complex Environmental Settings (VOiCES) corpus is a creative commons speech dataset targeting acoustically challenging and reverberant environments with robust labels and truth data for transcription, denoising, and speaker identification. This episode discusses the importance of open data and what AWS and Lab41 (an IQT Lab) are doing with open data research and analytics.
This podcast originally aired in January 2019 and some content may be dated.
The Rise and Importance of Synthetic Biology
Nature.com describes synthetic biology as the design and construction of new biological parts, devices, and systems…and the re-design of existing, natural biological systems for useful purposes. This episode explores the evolution of synthetic biology, including how it’s used and what we could expect in the future.
This podcast originally aired in December 2018 and some content may be dated.
Filling the Data Void: The Importance of Synthetic Data in Machine Learning
Why is synthetic data important to certain kinds of machine learning applications? This episode dives into the technology trends and circumstances associated with the rise of synthetic data.
This podcast originally aired in November 2018 and some content may be dated.
The Commercial Space Between Us
This episode provides an overview of IQT’s research and knowledge about commercial space, rocket launches, satellite constellations, and more.
This podcast originally aired in November 2018 and some content may be dated.
5G & Me
5G, the 5th generation mobile network, is expected to take a much larger role than previous generations. This episode explores the evolution of 5G, including its implications, use cases, and what it could mean for businesses and consumers around the world.
This podcast originally aired in October 2018 and some content may be dated.
Can We Learn a System’s Optimal Behavior?
What is reinforcement learning? You may be wondering the answer to this given the wealth of discussion around Machine Learning (ML). This podcast dives into reinforcement learning (RL), a subfield of ML emerging from academia that allows a system to make decisions without explicit programming.
This podcast originally aired in May 2018 and some content may be dated.
Social Bots: The Emerging Social AI Market
A discussion about the proliferation and growth of social bots, agents that communicate autonomously on social media, often with the task of influencing the course of discussion and/or the opinions of its readers.
This podcast originally aired in April 2018 and some content may be dated.