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Adding NeuroDISK and ClimateDISK
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hvarg committed Sep 29, 2023
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64 changes: 64 additions & 0 deletions content/project/climate-disk/index.md
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---
# Documentation: https://wowchemy.com/docs/managing-content/

title: "Climate DISK"
summary: "Climate DISK uses the DISK framework to automate climate analysis"
authors:
[
"varunr",
"yolanda-gil",
"daniel-garijo",
"hernan-vargas",
"deborah-khider",
"maximiliano-osorio",
]
#tags: ["Featured"]
tags: []
categories: []
date: 2022-05-09T16:09:29-07:00
weight: 7

# Optional external URL for project (replaces project detail page).
external_link: ""

# Featured image
# To use, add an image named `featured.jpg/png` to your page's folder.
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image:
caption: ""
focal_point: ""
preview_only: false

# Custom links (optional).
# Uncomment and edit lines below to show custom links.
# links:
# - name: Follow
# url: https://twitter.com
# icon_pack: fab
# icon: twitter

url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""

# Slides (optional).
# Associate this project with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides: ""
---

Climate DISK uses the DISK framework to automate climate analysis using observational paleoclimate data stored on the LinkedEarth platform (in the LiPD format).
These datasets consist of paleoclimate measurements (such as tree ring width, the isotopic composition of ice, bulk composition of marine and lake sediments) as a proxy for past environmental variables such as temperature and precipitation.

Links:

- [Climate DISK page](http://climate.disk.isi.edu/)
- [LinkedEarth platform](https://wiki.linked.earth/Main_Page)

Repositories

- [DISK general](https://github.com/KnowledgeCaptureAndDiscovery/DISK-WEB)
- [DISK UI](https://github.com/KnowledgeCaptureAndDiscovery/DISK-UI)
14 changes: 7 additions & 7 deletions content/project/disk/index.md
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tags: ["Featured"]
categories: []
date: 2022-05-09T16:09:29-07:00
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weight: 5

# Optional external URL for project (replaces project detail page).
external_link: ""
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slides: ""
---

DISK is a novel framework to test and revise hypotheses based on automatic analysis of scientific data repositories that grow over time. Given an input hypothesis, DISK is able to search for appropriate data to test it and revise it accordingly, and does this continuously as new data be-comes available. DISK is also capable of triggering new kinds of analyses when new kinds of data become availa-ble. The provenance of the revised hypotheses is recorded, with all the details of the analyses. We are using DISK with multi-omics data from a seminal cancer study. Ongoing research includes extending DISK to generate interactive explanations for scientists based on provenance records, developing a general approach to the design of meta-workflows, handling more complex hypotheses, and exploring the use of this approach in other areas of science.
DISK is a novel framework to test and revise hypotheses based on automatic analysis of scientific data repositories that grow over time. Given an input hypothesis, DISK is able to search for appropriate data to test it and revise it accordingly, and does this continuously as new data be-comes available. DISK is also capable of triggering new kinds of analyses when new kinds of data become available.
The provenance of the revised hypotheses is recorded, with all the details of the analyses.
Ongoing research includes extending DISK to generate interactive explanations for scientists based on provenance records, developing a general approach to the design of meta-workflows, handling more complex hypotheses, and exploring the use of this approach in other areas of science.

Links:

- [Website](https://www.disk-project.org/)
- [User Guide](https://disk.readthedocs.io/en/latest/)
- [Main Repository](https://github.com/KnowledgeCaptureAndDiscovery/DISK-WEB)
- [User Guide](https://disk.readthedocs.io/en/stable/)

- [NeuroDISK landing page](https://knowledgecaptureanddiscovery.github.io/NeuroDISK/)
- [NeuroDISK page](http://skc.isi.edu/disk-portal/)
- [NeuroDISK portal](http://neuro.disk.isi.edu/)
- [ClimateDISK portal](http://climate.disk.isi.edu/)

Repositories

- [EnigmaDISK](https://github.com/KnowledgeCaptureAndDiscovery/DISK)
- [DISK general](https://github.com/KnowledgeCaptureAndDiscovery/DISK-WEB)
- [DISK UI](https://github.com/KnowledgeCaptureAndDiscovery/DISK-UI)
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69 changes: 69 additions & 0 deletions content/project/neuro-disk/index.md
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---
# Documentation: https://wowchemy.com/docs/managing-content/

title: "NeuroDISK"
summary: "The Neuro-DISK project automates the analysis of neuroscience data."
authors:
[
"varunr",
"yolanda-gil",
"daniel-garijo",
"hernan-vargas",
"deborah-khider",
"maximiliano-osorio",
]
tags: ["Featured"]
categories: []
date: 2022-05-09T16:09:29-07:00
weight: 6

# Optional external URL for project (replaces project detail page).
external_link: ""

# Featured image
# To use, add an image named `featured.jpg/png` to your page's folder.
# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
image:
caption: ""
focal_point: ""
preview_only: false

# Custom links (optional).
# Uncomment and edit lines below to show custom links.
# links:
# - name: Follow
# url: https://twitter.com
# icon_pack: fab
# icon: twitter

url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""

# Slides (optional).
# Associate this project with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides: ""
---

There is abundant brain image and genetic data for researchers to understand brain structure, functions and disease. It is challenging to carry out comprehensive analyses that integrate available data. Though data generation is continuous, analyses are seldom repeated and their results updated.

The Neuro-DISK project automates the analysis of neuroscience data through artificial intelligence (AI).
NeuroDISK is an AI-driven discovery engine that will continually processes neuroscience data.
We use ontologies of hypotheses to represent science driving questions, semantic representations to reason about the data available, machine learning to improve accuracy, and intelligent workflows to customize the analysis to the data.
Given a science question, NeuroDISK autonomously determines what data is needed, triggers the execution of relevant families of workflows, customize them to the data at hand, and alert users of interesting findings.

We are developing NeuroDISK in collaboration with researchers from the ENIGMA consortium who study different neuroscience questions.

Links:

- [NeuroDISK landing page](https://knowledgecaptureanddiscovery.github.io/NeuroDISK/)
- [NeuroDISK page](http://neuro.disk.isi.edu/)

Repositories

- [DISK general](https://github.com/KnowledgeCaptureAndDiscovery/DISK-WEB)
- [DISK UI](https://github.com/KnowledgeCaptureAndDiscovery/DISK-UI)

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