Dylan Harrison-Atlas @DylanHAtlas

#DataScientist with #geospatial leanings. Making sense of #data through #analysis, #MachineLearning, #visualization, and communication. Ph.D. Ecology. Fort Collins, CO Joined September 2015

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Dylan Harrison-Atlas @DylanHAtlas

4 years ago

View of the #MarshallFire smoke from Golden. It’s late December and wildfire season in Colorado. Climate change is not a distant threat. It’s here. #DontLookUp

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Dylan Harrison-Atlas @DylanHAtlas

4 years ago

In what ways can #MachineLearning accelerate and further our understanding of #WindEnergy? Recent research by myself and others @NREL highlights fruitful opportunities in this space.

NREL @NREL

4 years ago

In what ways can #MachineLearning accelerate and further our understanding of #WindEnergy? Recent research by myself and others @NREL highlights fruitful opportunities in this space.

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A group of NREL scientists deliberated on the intersection of #WindEnergy and #ArtificialIntelligence in the last Wind Energy Science Leadership webinar. Watch the video on our NREL Learning channel: bit.ly/3hhXdjs

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Applied Machine Learning Days @appliedmldays

4 years ago

@DylanHAtlas is currently presenting "Surrogate modeling for national scale assessment of wind power technology innovation". #AMLD2021 #AIandSustainableEnergy

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Dylan Harrison-Atlas @DylanHAtlas

5 years ago

What was it that Robert Frost said about the world ending in fire or ice? In Colorado, we’re looking at both. #wildfire #ClimateChange

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Dylan Harrison-Atlas @DylanHAtlas

5 years ago

View of the rapidly emerging #CalWoodFire from Golden, CO. Not the distraction we needed from the #CameronPeakFire

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Dylan Harrison-Atlas @DylanHAtlas

5 years ago

Innovative use of aerial imagery. So much information yet to be distilled from remote sensing.

Krishna Karra @k3blu3

5 years ago

Innovative use of aerial imagery. So much information yet to be distilled from remote sensing.

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Ashley St. John Lab @StJohnLab

5 years ago

You know that time in the committee meeting when we ask the PhD candidate to step out of the room? What if we did the same thing with the mentor and asked if the student had anything they’d like to share? Could the committee help them more?

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Joe Morrison @mouthofmorrison

5 years ago

I think the satellite imagery industry isn't living up to its potential. I wrote about why it's broken and what can be done to fix it: medium.com/@joemorrison/t…

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Eric Holthaus @EricHolthaus

5 years ago

🚨 Trump just signed an executive order using emergency powers to gut the Endangered Species Act, the Clean Water Act, and the National Environmental Policy Act, waiving the requirement for environmental review for construction projects. 🚨 Holy shit. thehill.com/policy/energy-…

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Joe Morrison @mouthofmorrison

5 years ago

Here’s a thread of 10 strongly held opinions I have formed about the “geospatial industry”: 1. The most successful and ambitious mapping project of all time, Google Maps, is an advertising platform. There is no “geospatial industry,” only industries with spatial problems.

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Dylan Harrison-Atlas @DylanHAtlas

5 years ago

via ⁦@nytimes⁩ nytimes.com/interactive/20…

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Climate Change AI @ClimateChangeAI

5 years ago

A new large-scale conservation dataset pairing species observations with remote sensing and climate variables has been released: arxiv.org/abs/2004.04192, along with an associated machine learning competition: aicrowd.com/challenges/lif…

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Prof. Katharine Hayhoe @KHayhoe

5 years ago

As the economic slow-down due to the coronavirus pandemic shutters industry, air pollution and carbon emissions are dropping. A lot of people have asked what this means for carbon emissions and climate change. Here is a short explainer. (thread)

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Dylan Harrison-Atlas @DylanHAtlas

5 years ago

Loving this new interactive mapping in #Jupyter notebooks using geemap (github.com/giswqs/geemap) for #EarthEngine. Credit to @giswqs for extending this powerful tool with a fantastic open source contributions.

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Dylan Harrison-Atlas @DylanHAtlas

6 years ago

Effective data visualizations and accompanying explanations like the one provided here can go a long way towards contextualizing patterns and key insights that might otherwise be obscured for the average reader #numeracy

NYT Science @NYTScience

6 years ago

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Dylan Harrison-Atlas @DylanHAtlas

6 years ago

Data searchability and accessibility are critical to making progress in many fields. This will be a tremendous resource.

Jeff Dean @JeffDean

6 years ago

Data searchability and accessibility are critical to making progress in many fields. This will be a tremendous resource.

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Dylan Harrison-Atlas @DylanHAtlas

6 years ago

nytimes.com/2019/12/29/opi… via @nytopinion

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Sean J. Taylor @seanjtaylor

6 years ago

Probably the most productivity-improving thing you do can for a data science team is to create and maintain a strong, inclusive community of practice. If people on your team aren’t constantly learning from each other, you’re leaving a ton of value on the table.