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References
Pages 144-168

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From page 144...
... 2018. Evolving Role of Scientific Workflows in a Highly Networked, Collaborative and Dynamic Data-Driven World.
From page 145...
... 2018. Materials Acceleration Platform: Accelerating advanced energy materials discovery by integrating high-throughput methods and artificial intelligence.
From page 146...
... conditions for research data management. Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
From page 147...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
From page 148...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. CRS (Congressional Research Service)
From page 149...
... 2019. Workshop report on basic research needs for scientific machine learning: Core technologies for artificial intelligence.
From page 150...
... 2019. How the general data protection regulation changes the rules of scientific research.
From page 151...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Freedman, A
From page 152...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Hacking, I
From page 153...
... 2020. Designing and applying in situ analysis to enable chemical discovery.
From page 154...
... 2021. The responsible machine learning principles.
From page 155...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17.
From page 156...
... 2017. Machine learning with big data: Challenges and approaches.
From page 157...
... 2016. Active machine learning driven experimentation to determine compound effects on protein patterns.
From page 158...
... 2018a. Artificial intelligence and machine learning to accelerate translational research.
From page 159...
... 2018. NIH Data Commons Pilot Phase Consortium.
From page 160...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. O'Brien, D
From page 161...
... 2021. The Biden Administration launches the National Artificial Intelligence Research Resource Task Force.
From page 162...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Plemmons, D
From page 163...
... 2020. Remarks at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16– 17.
From page 164...
... Report of a ZonMw funded collaborative approach built on existing expertise. Zenodo.
From page 165...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Stoyanovich, J., B
From page 166...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Taylor, I
From page 167...
... Presentation at the Workshop on Opportunities for Accelerating Scientific Discovery: Realizing the Potential of Advanced and Automated Workflows, March 16–17. Wasserstein, R
From page 168...
... Harvard Data Science Review.


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