http://twitter.com/thericeshow
Read climate change statistics produced by students in Barry Chernoff’s BIOL/E&ES 197 Fall 08 classes.
Exploring Global Climate Change from Science to Art
http://twitter.com/thericeshow
Read climate change statistics produced by students in Barry Chernoff’s BIOL/E&ES 197 Fall 08 classes.
Wesleyan University

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Interesting read! The Rice Show makes climate data feel approachable, and creative formatting only amplifies that. I’ve been using a free tiny text generator to style posts with small caps, superscripts, and subscripts — great for adding footnotes or making stats pop on Discord, TikTok, and Instagram. It’s a subtle way to present those Rice Show figures with more visual impact. Thanks for highlighting the students’ work!
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The Rice Show’s Twitter updates sound like a great way to stay informed about climate change data from the student projects. I appreciate how you’re using social media to share academic work. Speaking of sharing, I recently used a PDF Meta Editor tool to clean up metadata before sending documents to colleagues, which helped keep the files professional and private. It’s handy for such tasks. Thanks for the post!
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I like how this post connects The Rice Show’s Twitter presence with student-produced climate change statistics and the broader Wesleyan arts community. The local-performer angle also makes me think of practical tools for sharing music online: Pitch Changer lets performers preview songs at different semitone or cent settings, adjust tempo independently, and export a WAV locally without uploading the audio. That could be useful when preparing a piece for a show or creating alternate practice versions while keeping the process simple and private.
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This is a great idea for engaging students! It reminds me of how I’ve seen similar initiatives pop up, like on Choicer Voicer, where people share their thoughts on various topics. Seeing student-generated climate data is really encouraging.
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This is a clever way to make climate data more approachable—turning raw statistics into a shared, interactive experience. It reminds me of how music quizzes work, where you’re drawn in by recognition rather than cold facts. If the Rice Show can get people to engage with the numbers the way they engage with a catchy melody, that’s a win for science communication. Songspot might not teach you about carbon emissions, but it shows how powerful audio recognition can be for learning. It would be interesting to see if a similar approach could make these climate figures stick even longer.
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The climate change statistics produced by students in Barry Chernoff’s BIOL/E&ES 197 Fall 08 classes show why context matters when results are shared. A team can act on those numbers only when the course and method stay visible.
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The emphasis on learning through action and engagement really resonates with me. I’ve found that hands-on projects and real-world applications solidify knowledge far better than passive study. It’s refreshing to see a university prioritize research with impact and student success so explicitly. This approach seems to foster not just academic growth but also personal development. I’d love to hear more about how these principles are implemented in the first-year seminars or the capstone experience.
A student-run climate feed on Twitter in 2009 already treated data as something you share in public, not just in a paper. I still split class charts into a grid so each statistic is a tile people can actually read on a phone — ImageSplit does that in the browser, no upload. Thanks for keeping The Rice Show in one place.
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This project blending climate science data with artistic expression is a great example of interdisciplinary teaching—turning student research from the BIOL/E&ES 197 classes into something audiences can actually experience through The Rice Show is memorable in a way statistics alone rarely are. Following the project on Twitter was a smart move for keeping people engaged between events. For anyone in the creative side of this community who also works with visual design, I’ve found an AI tattoo design tool useful for quickly sketching visual concepts before committing to a final design: AI tattoo design tool. Looking forward to more posts connecting art and science here.