Here we propose to develop Open Science training modules for artificial intelligence and machine learning (AI/ML) in space biosciences. We will design modules in the OpenCore style and format, in 2.5 hour interactive learning experiences to be taught in the mornings during a week-long meeting. This week-long training course will cover a different topic, including fundamentals of AI/ML and space bioscience data, ethics and best practices for AI/ML and Open Science, and use cases which train students in specific algorithms to solve real-world problems using cloud-based NASA data
The emergence of massive open online courses has initiated a broad national-wide discussion on highe...
We have never been surrounded by so many digital devices that produce a vast and continuous stream o...
Presentation given at AGU 2022 Fall Meeting in Chicago, IL, USA. Principles and Responsibilities fo...
A talk titled "An Open Science Approach to Machine Learning in Biomedical Research" delivered at the...
Biology has become a rich, data-intensive science dependent on complex, computational, and statistic...
A talk titled "An Open Science Approach to Machine Learning in Biomedical Research" delivered at the...
Research data management is an issue that is not yet well addressed in academic teaching, especially...
Contemporary research – particularly when addressing the most significant, transdisciplinary researc...
Open Life Science (https://openlifesci.org/) program mentors and trains individuals and stakeholders...
Motivation: As scientists, we are provided training and guidance in how to conduct research in the l...
NASA’s open data and information policy mandates that all NASA scientific information funded by the ...
This is the presentation material for NCAR Computational and Information Systems Lab Webinar on 20 A...
Abstract Research in evolutionary biology has been progressively influenced by big data such as mass...
About the event: The East African Network for Bioinformatics training (EANBiT), seeks to upskill stu...
We have applied the sensitize-train-hack-community model to build awareness of and capacity in bioin...
The emergence of massive open online courses has initiated a broad national-wide discussion on highe...
We have never been surrounded by so many digital devices that produce a vast and continuous stream o...
Presentation given at AGU 2022 Fall Meeting in Chicago, IL, USA. Principles and Responsibilities fo...
A talk titled "An Open Science Approach to Machine Learning in Biomedical Research" delivered at the...
Biology has become a rich, data-intensive science dependent on complex, computational, and statistic...
A talk titled "An Open Science Approach to Machine Learning in Biomedical Research" delivered at the...
Research data management is an issue that is not yet well addressed in academic teaching, especially...
Contemporary research – particularly when addressing the most significant, transdisciplinary researc...
Open Life Science (https://openlifesci.org/) program mentors and trains individuals and stakeholders...
Motivation: As scientists, we are provided training and guidance in how to conduct research in the l...
NASA’s open data and information policy mandates that all NASA scientific information funded by the ...
This is the presentation material for NCAR Computational and Information Systems Lab Webinar on 20 A...
Abstract Research in evolutionary biology has been progressively influenced by big data such as mass...
About the event: The East African Network for Bioinformatics training (EANBiT), seeks to upskill stu...
We have applied the sensitize-train-hack-community model to build awareness of and capacity in bioin...
The emergence of massive open online courses has initiated a broad national-wide discussion on highe...
We have never been surrounded by so many digital devices that produce a vast and continuous stream o...
Presentation given at AGU 2022 Fall Meeting in Chicago, IL, USA. Principles and Responsibilities fo...