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Presented by: Weiming Hu
My name is Weiming Hu. I am currently a machine learning researcher at Scripps Institution of Oceanography, University of California, San Diego. I have always been a fervent supporter of the free software movement. I encourage my students to use and learn free software and free tools and I try my best to also incorporate concepts and applications of free software in my teaching. I was the recipient of the scholarship for the LibrePlanet 2020 conference but I was not able to attend the conference due to COVID-19. I look forward to this year's in-person conference.
"Open science" is a movement that promotes the freedom to share knowledge and data in science. Its recent success largely depends on our ability to reproduce and then improve on existing research products. It is about ensuring that researchers have sufficient access to information and the necessary tools for analysis. This movement goes hand in hand with the free software movement, as it has the potential to revolutionize sciences by providing powerful tools for data analysis, modeling, and visualization. I would like to focus my talk on the connection and missing links between free software and open science, particularly in environmental and data sciences. The talk is devoted to raising awareness and promoting conversations on how we can better advance sciences with free software and knowledge sharing.