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Add keynote section and update paths (#1027)
* Move slides and metadata to a unique folder in the expected location * Create section for keynote slides * Swap out rst for md * Update space to empty string * Move to myst.yml * Delete info.json (now in myst.yml) * Reserve DOIs * Update conference link * Uploads to zenodo * Update to published zenodo IDs * remove blank affiliation * Add batch file --------- Co-authored-by: Meghann Agarwal <[email protected]> Co-authored-by: Rowan Cockett <[email protected]>
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README.md

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@@ -508,6 +508,7 @@ Editors should come to a final 'ready', 'unready' decision before the **Final Ed
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2. Posters presented at the poster session (posters)
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3. 30-minute talk slide decks (slides)
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4. SciPy tools plenary slide decks (tools)
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5. 45-minute keynote slide decks (keynote)
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5. Choose the appropriate folder, and make a new directory inside it (it needs a unique name)
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6. Copy your slide deck or poster into the directory, and add a file called `info.json` with the following fields needed for uploading to Zenodo (using an empty string for author orcid or
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affiliation if these cannot be provided):

presentations/slides/barnes-elizabeth/BARNES_SciPy_July_11_2024.pdf renamed to presentations/keynote/barnes-elizabeth/BARNES_SciPy_July_11_2024.pdf

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version: 1
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extends: ../../proceedings.yml
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project:
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zenodo: https://zenodo.org/records/13942222
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doi: 10.25080/yhec5334
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id: fc57f03b-55fb-47d7-84e2-05b694a1958e
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title: 'Explainable AI for Climate Science: Opening the Black Box to Reveal Planet Earth'
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authors:
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- name: Elizabeth A. Barnes
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affiliation: Colorado State University
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orcid: 0000-0003-4284-9320
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abstract: 'Earth’s climate is chaotic and noisy. Finding usable signals amidst all of the noise can be challenging: be it predicting if it will rain, knowing which direction a hurricane will go, understanding the implications of melting Arctic ice, or detecting the impacts of humans on the earth’s surface. Here, I will demonstrate how explainable artificial intelligence (XAI) techniques can sift through vast amounts of climate data and push the bounds of scientific discovery: allowing scientists to ask "why?" but now with the power of machine learning.'
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downloads:
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- title: Presentation
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file: BARNES_SciPy_July_11_2024.pdf

presentations/slides/cranmer-kyle/Cranmer-Kyle-Keynote-SciPy-2024.pdf renamed to presentations/keynote/cranmer-kyle/Cranmer-Kyle-Keynote-SciPy-2024.pdf

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version: 1
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extends: ../../proceedings.yml
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project:
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zenodo: https://zenodo.org/records/13942226
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doi: 10.25080/rkcg9834
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id: 9e80aadb-92e3-466b-a165-38e84ac415df
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title: Particles, People, and Pull Requests
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authors:
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- name: Kyle Cranmer
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affiliation: University of Wisconsin-Madison
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orcid: 0000-0002-5769-7094
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abstract: I will tell the story of how the statistical challenges in the search for the Higgs boson and exotic new physics at the Large Hadron Collider led to new approaches to collaborative, open science. The story centers around computational and sociological challenges where software and cyberinfrastructure play a key role. I will highlight a few important changes in perspective that were critical for progress including embracing declarative specifications, pivoting from reproducibility to reuse, and the abstraction that led to the field of simulation-based inference.
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downloads:
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- title: Presentation
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file: Cranmer-Kyle-Keynote-SciPy-2024.pdf
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version: 1
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extends: ../../proceedings.yml
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project:
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zenodo: https://zenodo.org/records/13942230
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doi: 10.25080/xwen4438
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id: 3f27f4d7-7bd1-4dde-aa01-e23948d812b8
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title: The Right Tool for the Job
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authors:
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- name: Julia Silge
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affiliation: Posit PBC
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orcid: 0000-0002-3671-836X
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abstract: There are many programming languages that we might choose for scientific computing, and we each bring a complex set of preferences and experiences to such a decision. There are significant barriers to learning about other programming languages outside our comfort zone, and seeing another person or community make a different choice can be baffling. In this talk, hear about the costs that arise from exploring or using multiple programming languages, what we can gain by being open to different languages, and how curiosity and interest in other programming languages supports sharing across communities. We’ll explore these three points with practical examples from software built for flexible storage and model deployment, as well as a brand new project for scientific computing.
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downloads:
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- title: Presentation
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file: silge-scipy-2024.pdf

presentations/slides/silge-julia/silge-scipy-2024.pdf renamed to presentations/keynote/silge-julia/silge-scipy-2024.pdf

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presentations/lightning/deploying-python-environments-on-top-of-mt-rainier/info.json

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version: 1
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extends: ../../proceedings.yml
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project:
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zenodo: https://zenodo.org/records/13942232
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doi: 10.25080/pyyu4582
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id: 5c188d79-98e7-47de-93a4-56004e6fef94
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title: Deploying Python environments on top of Mt. Rainier
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authors:
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- name: Benoit Hamelin
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affiliation: Tutte Institute for Mathematics and Computing
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orcid: 0000-0001-7333-5635
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abstract: A process for building preparing artifacts that enable the deployment of a Python computing environment in a place where there is no Internet access.
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downloads:
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- title: Presentation
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file: Deploying Python Environments on top of Mt. Rainier.pdf
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