Adoption and implementation of computational technologies along with the concepts of data science and machine learning have seen a steady acceptance and increase over the past decade in the field of Earth Science. One such technology at the forefront is the Jupyter Notebook.
Jupyter Notebook, an open-source web-based application, allows creation and sharing of documents containing code, results and accompanying documentation. Work in Notebooks is predominantly performed with R and Python, though many other languages are available. Jupyter Notebooks provide an interactive console-based approach making it easier for colleagues to understand the code, results, and goals.
This session encourages submissions of adoption, usage and current benefits, as well as, the use of Jupyter Notebooks as a method for publications and the potential benefits from such an endeavor. This direction aims to explore the usefulness of the reproducibility and replicability of experiments performed in Notebooks. The goal of this session is to highlight the importance and significant impact Jupyter Notebooks has had on projects and research so far and how taking it a step further by incorporating it as a form/format of publications will help in addressing the obstacles faced by scientists and readers alike when attempting to understand the experiments carried out in publications or when re-running an experiment following the methods in publications.
Our Speakers:
1. Dr. Lindsey Heagy:
Dr. Heagy is currently a Postdoctoral Researcher at the UC Berkeley in the Statistics department, and will soon be an Assistant Professor of Earth, Ocean and Atmospheric Sciences at the University of British Columbia. Dr. Heagy is an active contributor to open source softwares for computational geophysics and open access educational resources to geosciences like SimPEG and GeoSci.xyz. She also leads geophysics component of the Jupyter meets the Earth project, which is in collaboration with Pangeo Project, Jupyter and the geoscience researchers at National Center for Atmospheric Research and UC Berkeley.
2. Dr. Fernando Pérez:
Dr. Pérez is an Associate Professor at the Department of Statistics at UC Berkeley and a found co-investigator of the Berkeley Institute of Data Science. He is also a Faculty Scientist at the Data Science and Technology Division at the Lawrence Berkeley National Laboratory. He created iPython while he was a graduate student in the year 2001 and is the co-founder of its successor, Project Jupyter. His work today focuses on creating tools for modern computational research and data science across domain disciplines with an emphasis on reproducible research.
3. Dr. Lynne Elkins:
Dr. Elkins is an isotope geochemist, petrologist and an Assistant Professor of Geology in the Department of Earth and Atmospheric Sciences at the University of Nebraska- Lincoln. Dr. Elkins' research group focuses on using geochemistry to better understand the Earth's dynamic processes, in particular how magmas are generated in the Earth's mantle layer and how they are emplaced to form new crust. Dr. Elkins has implemented deep Earth complex system modeling in Jupyter Notebooks and also used the tool for a publication of the same project.
Following our speakers' talks we will open the floor for a discussion among all the attendees. How to prepare for our session:
We are going to have a quick walkthrough that helps you understand the basics of Jupyter Notebook. So, rest assured that you will be able to follow along if you are new to the application.
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