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Margot Gerritsen
professor; Co-Founder & Co-Director . Host of
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Margot Gerritsen Dec 4
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Margot Gerritsen Dec 3
Terrible loss today. Ken was an absolute powerhouse, in many ways. From the faculty senate to the Philosophy Talk podcasts, from his beautiful writings to ESF, from his engagement with students to his care for faculty colleagues. He will always be a...
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Women in Data Science Nov 23
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Margot Gerritsen Dec 2
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Margot Gerritsen Dec 2
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Margot Gerritsen Nov 29
We Have Lost One of the Boldest Climbers of All Time
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Margot Gerritsen Nov 27
Join us and sign up to be a WiDS Ambassador.
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𝐒𝐭𝐚𝐧𝐟𝐨𝐫𝐝 𝐄𝐧𝐞𝐫𝐠𝐲 Nov 22
Outstanding research by outstanding women and symposium highlighted the research done by who use data science to assess a range of topics in the geosciences, including , climate and sustainability:
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Margot Gerritsen Nov 21
It’s that time of the year
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Margot Gerritsen Nov 14
Thank you, Perspektywy Women in Tech, for the wonderful event in Warsaw.
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Women in Data Science Nov 13
"I think, by training I'm everything, but in my heart I'm a scientist." -- Meltem Ballan, discusses how is transforming the industry, on the :
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Margot Gerritsen Nov 10
An afternoon with mom and sis before a busy workweek in Europe
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Margot Gerritsen Nov 4
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Women in Data Science Oct 30
., Professor and alum, discusses and research with Nilah Monnier Ioannidis and on the . Listen:
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Women in Data Science Nov 1
"Math was a creative endeavor. I could paint with Mathematics." -- Jennifer Chayes, 🎙Tune-in to the to hear interview with :
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Margot Gerritsen Nov 2
Havent made plans yet, Fatima. Cheers, Margot
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Margot Gerritsen Nov 1
Newsha Ajami: It's much easier to get a 90 min documentary on data research for self-driving cars, which are nice but not critical, than a 10 minute segment on data research for critical areas like water management
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Margot Gerritsen Nov 1
Look who we ran into? Our fab ambassador from New Zealand, Kate Kolich
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Margot Gerritsen Nov 1
Wisdoms from the panel. [2] Many DL algorithms need large well-labeled data, which are not common in earth. Labeling efforts are under way, including crowd sourcing approaches. Go label some data!
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Margot Gerritsen Nov 1
Wisdoms from the panel discussion with our fantastic speakers. [1] Help colleagues overcome skepticism or fear of ML by deeply involving them as domain experts: "You are not being replaced, we need you more than over."
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