Brenda Chen (@brchenda) header
Brenda Chen (@brchenda) profile picture

UX research @ Google. Problem solving as designer & scientist. Aspiring calligrapher. Novice printmaker.

San Francisco
Joined December 2008
Photo by Brenda Chen (@brchenda)Photo by Brenda Chen (@brchenda)Photo by Brenda Chen (@brchenda)Photo by Brenda Chen (@brchenda)Photo by Brenda Chen (@brchenda)
Congrats @solhsiang on the latest nature paper! 🌋⛅️🌎
On the Nature cover this week: Volcanic eruptions reveal risks of crops of blocking sunlight by geoengineering go.nature.com/2MKGJTK
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Brenda Chen retweeted
Quantitative information builds confidence. Qualitative information builds commitment. So choose the combo platter.
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Basic statistics add-on now available for Google Sheets: sites.google.com/site/statis… Thanks to Google colleagues for creating & sharing!
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Brenda Chen retweeted
Another reason to spend money on experiences rather than things—the positive benefits of anticipation qz.com/255963
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See how the #GOPdebate played out on Google searches with our interactive #dataviz goo.gl/trends/gopdebate1main teapaw.org/GoogleTrends/status/62…
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Art and Science Coexist. Our awe-inspired high-fives to @NASA and the #NewHorizons Mission: bit.ly/1LeTOMw (great short film @NPR)
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Brenda Chen retweeted
Seen on Reddit in response to @NASA #NewHorizons. So perfect.
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Moonshots tend to reveal themselves to people that chase roofshots with a passion #MondayMotivation
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Phew.. Great first week working new research job at google! :)
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Let the building begin! :) Rediscovering my inner engineer with @arduino @solhsiang
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"Let's become responsible for our assumptions... Let's be scientists." Neal Patel on scientific merit and ethnography bit.ly/1KEBJ9V
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Brenda Chen retweeted
Our second most popular post from 2014: How Men Can Help #STEMWomen with @phylogenomics buff.ly/1BT8ESl
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Forget trying to be an expert. Why a beginner's mind is better f-st.co/2tBCExC by @faisal_hoque
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Start with questions (not data), and end with questions. #DataInformedDesign
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Thanks @paminthelab -great talk! thoughts on how to avoid misuse/misinterpretation of data? ie telling a compelling inaccurate story w/ data
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