This presentation will provide an overview of the rapidly changing field of Data Science from a healthcare perspective. Background history: How Data Science is traditionally leveraged to enhance business decision-making and drive patient care. Current use: The emergence of COVID19 as a global pandemic upended norms yet Data Science plays an important role in the successful management resources through machine learning and A.I. Prospects: What does the future (post-pandemic) hold for Data Science and where is the field going in the near-, mid-, and long-term future
The pandemic hit the research world like a cannonball. ‘Normal’ ways of working and methodological a...
International audienceHow will we work, live, and thrive in the post-pandemic future? The rapid mush...
The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability ...
This is the final version. Available on open access from MIT Press via the DOI in this recordI am de...
Colleagues,I am delighted to present to you the summary abstracts and presentations from the 2019 In...
The goal of the Moore-Sloan Data Science Environments (MSDSE) program established jointly by the Gor...
Data Science has the potential to provide humanity with critical insight into the massive data being...
Data science is an interdisciplinary field that applies numerous techniques, such as machine learnin...
This book provides an introduction to the computational and complex systems modeling of the global s...
Part 1: WCC 2018 Plenary Contributions: Keynote, Special SessionsInternational audienceData science ...
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the r...
Health Informatics and the Covid-19 Pandemic: Challenges, Opportunities, Lessons learned and the pat...
While healthcare has some of largest and more diverse data, moving from data insights into execution...
The Covid epidemic has provided an excellent example of the need to call on a wide variety of statis...
In this talk we explore the impact of COVID19 on US universities and colleges by looking at data on ...
The pandemic hit the research world like a cannonball. ‘Normal’ ways of working and methodological a...
International audienceHow will we work, live, and thrive in the post-pandemic future? The rapid mush...
The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability ...
This is the final version. Available on open access from MIT Press via the DOI in this recordI am de...
Colleagues,I am delighted to present to you the summary abstracts and presentations from the 2019 In...
The goal of the Moore-Sloan Data Science Environments (MSDSE) program established jointly by the Gor...
Data Science has the potential to provide humanity with critical insight into the massive data being...
Data science is an interdisciplinary field that applies numerous techniques, such as machine learnin...
This book provides an introduction to the computational and complex systems modeling of the global s...
Part 1: WCC 2018 Plenary Contributions: Keynote, Special SessionsInternational audienceData science ...
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the r...
Health Informatics and the Covid-19 Pandemic: Challenges, Opportunities, Lessons learned and the pat...
While healthcare has some of largest and more diverse data, moving from data insights into execution...
The Covid epidemic has provided an excellent example of the need to call on a wide variety of statis...
In this talk we explore the impact of COVID19 on US universities and colleges by looking at data on ...
The pandemic hit the research world like a cannonball. ‘Normal’ ways of working and methodological a...
International audienceHow will we work, live, and thrive in the post-pandemic future? The rapid mush...
The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability ...