Data science as a catalyst for scientific discovery
Michelle Gill explains how data science methodologies and tools can be used to link information from different scientific fields and accelerate discovery in a variety of areas, including the biological sciences.
Talk Title | Data science as a catalyst for scientific discovery |
Speakers | Michelle Gill (BenevolentAI) |
Conference | JupyterCon in New York 2018 |
Conf Tag | The Official Jupyter Conference |
Location | New York, New York |
Date | August 22-24, 2018 |
URL | Talk Page |
Slides | Talk Slides |
Video | Talk Video |
Modern scientific research is evolving quickly and requires an increasingly interdisciplinary purview. Keeping pace requires harnessing every tool available to the modern researcher. Michelle Gill explains how data science methodologies and tools can be used to link information from different scientific fields and accelerate discovery in a variety of areas, including the biological sciences.