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Challenges 2021
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Challenges 2020
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Challenges 2019
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Challenges 2018
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Challenges 2017
Challenge 1
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Challenge 5
Challenges 2020
Challenges
1: Understanding Rapid Cycling Temperature Logs from the Vulcan Diffractometer
2: Towards a Universal Classifier of Crystallographic Space Groups
3: Impact of Urban Weather on Building Energy Use
4: Computational Urban Data Analytics
5: Using Machine Learning to Understand Uncertainty in Subsurface Exploration
6: Using Artificial Intelligence Techniques to Match Patients with Their Best Clinical Trial Options
7: The Kaggle CORD-19 Data Challenge
Follow @scidatathon
SMC Data Challenge
·
2 years ago
@SciDatathon
https://t.co/GUi4oR0QjX
https://t.co/8u4auwXbdZ
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SMC Data Challenge
·
2 years ago
@SciDatathon
Check out the new challenge descriptions for the 2020 Smoky Mountain Data Challenge at
https://t.co/GUi4oR0QjX.
Registration opens March 11.
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SMC Data Challenge
·
3 years ago
@SciDatathon
Olumide Kayode, Ali Saman Tosin of team "data investigator" from
@UTSanAntonio
developed visualization and regression algorithms to understand the impact of urban weather on energy use. See more here:
https://t.co/xQn0y1kYQV
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SMC Data Challenge
·
3 years ago
@SciDatathon
Team 7pod applied machine learning & visualization techniques to predict energy consumption and understand the impact of Urban weather on Energy use. Demonstrated here:
https://t.co/hguxT4G68H
#smartgrid
#BigData
#DataChallenge
@ORNL
#SciDatathon
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2
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SMC Data Challenge
·
3 years ago
@SciDatathon
Team “keyboard mashers” developed "structured deep scan" for analyzing Bragg peaks to discover features in Sr14Cu24O41. Have a look at their method here:
https://t.co/Rxnwu0ngDv
#DataMining
#BigData
#MaterialScience
#MachineLearning
#AI
@ORNL
#SciDatathon
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3
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SMC Data Challenge
·
3 years ago
@SciDatathon
Team “fly away with me” developed algorithms for mass spectrometry analysis for LiNbO3 hierarchical data with MATLAB. More on her analyses here:
https://t.co/kV4z50Sd2X
#MaterialScience
#BigData
#DataChallenge
@ORNL
#SciDatathon
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