Thank you @globalecoguy.bsky.social for the important work you've done to advance environmental stewardship! I routinely teach your papers on food security & climate in my classes. Makes for a great interactive coding session for the students too, using @ourworldindata.org and R/Python.

#climate #paperskygest #conservation #naturebasedsolutions #naturalclimatesolutions

This research builds on exceptional datasets from Project Drawdown (drawdown.org) and Vibrant Data Labs. H/t to @pomonacollege.bsky.social for funding & Paul Hawken, @globalecoguy.bsky.social, & Eric Berlow for making these data available. 🧵 9/9

📄 Read the full paper here (no paywall!): doi.org/10.1088/2753... 🧵 8/9

Public finance, strategic investors, and conservation organizations can lead where traditional VC has failed. There's substantial potential to improve climate finance outcomes, and much more to explore. 🧵 7/9

As Rohan notes: VC is optimizing for market familiarity and short-term returns, **not climate outcomes**. But this misalignment reveals an opportunity: nature-based solutions and other high-mitigation technologies are 𝘂𝗻𝗱𝗲𝗿𝘃𝗮𝗹𝘂𝗲𝗱 and 𝘂𝗻𝗱𝗲𝗿𝗰𝗮𝗽𝗶𝘁𝗮𝗹𝗶𝘇𝗲𝗱. 🧵 6/9

𝗧𝗵𝗲 𝗩𝗮𝗹𝗹𝗲𝘆 𝗼𝗳 𝗗𝗲𝗮𝘁𝗵 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝘀: Only 4.6% of companies reached middle-stage funding, with median capital far below what's needed for scaling and commercialization. 🧵 5/9

𝗙𝘂𝗻𝗱𝗶𝗻𝗴 𝗶𝗴𝗻𝗼𝗿𝗲𝘀 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗶𝗺𝗽𝗮𝗰𝘁: No statistical relationship between investment dollars and carbon mitigation potential or technological maturity—the metrics that should drive deployment. 🧵 4/9

𝗡𝗮𝘁𝘂𝗿𝗲-𝗯𝗮𝘀𝗲𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘀𝘁𝗮𝗿𝘃𝗲𝗱 𝗼𝗳 𝗰𝗮𝗽𝗶𝘁𝗮𝗹: Food, agriculture, land use, and ecosystem restoration received minimal investment despite high sequestration potential. Early ROI data suggests promise, though the sample remains small and companies are still maturing. 🧵 3/9

𝗪𝗲'𝗿𝗲 𝗯𝗲𝘁𝘁𝗶𝗻𝗴 𝗼𝗻 𝗳𝗮𝗺𝗶𝗹𝗶𝗮𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝘀, 𝗻𝗼𝘁 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀: 71% of funding went to three sectors with existing private market incumbents, with the bulk of funding directed toward EVs (over 40%), even though such solutions represent just 3.5% of mitigation potential. 🧵 2/9

By this definition an eBird checklist is a digital twin #eBird

I feel like a larger-scale replication study of this important topic ("a good life for all within planetary boundaries") would be really empowering for my students. So I would be keen to hear from anyone who knows about useful resources or has done something similar in their classes! #DSLC

e.g., having students work as a class to collect soil samples or bioacoustic monitoring outputs, and then working on a multi-week field + #datascience lab report activity in groups (w/ #Python or #R) where there is a cleaned class dataset but each group has distinct hypotheses.

Even these simpler, faster, and smaller-scale exercises (e.g. can fit in one 75-minute class session) were really powerful for students who have these rich, multidisciplinary interests in the environment and living more humanely together. My larger-scale activities tho have often focused on #ecology

Specifically, have the students split into teams, and examine the underlying data in the citation trail that drives this powerful conclusion. I've done some similar (smaller scale) projects with sources such as goodlife.leeds.ac.uk/download-data/ or #ourworldindata.

Hehehe #budgie