Send us a text What if we could simulate the future of farming—and make smarter choices now? In this episode, systems modeler and agroecologist Delphine Derrien breaks down how regenerative agriculture can be scaled intelligently through computational modeling. Her work connects carbon sequestration, regional realities, and global food systems in ways that challenge conventional thinking. We explore: How modeling can predict the climate impact of regenerative farmingWhy “best practice” varies...
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Send us a text What if we could simulate the future of farming—and make smarter choices now? In this episode, systems modeler and agroecologist Delphine Derrien breaks down how regenerative agriculture can be scaled intelligently through computational modeling. Her work connects carbon sequestration, regional realities, and global food systems in ways that challenge conventional thinking. We explore: How modeling can predict the climate impact of regenerative farmingWhy “best practice” varies...
Episode 2- Wildfire Smoke inhalation with David Scieszka
Trying 2 Learn
46 minutes
2 years ago
Episode 2- Wildfire Smoke inhalation with David Scieszka
In this episode of the Why Science Initiative, soon-to-be Dr. David Scieszka tells us about his unexpected finding with extreme distance wildfire smoke inhalation in a mouse field study. David is a Ph.D./MBA candidate with the University of New Mexico focusing on aging processes and cardiovascular health. We discuss the complex mixture of wildfire smoke and the impact it had on his mice from hundreds of miles away, highlighting the national if not global impact that these recent wildfires may...
Trying 2 Learn
Send us a text What if we could simulate the future of farming—and make smarter choices now? In this episode, systems modeler and agroecologist Delphine Derrien breaks down how regenerative agriculture can be scaled intelligently through computational modeling. Her work connects carbon sequestration, regional realities, and global food systems in ways that challenge conventional thinking. We explore: How modeling can predict the climate impact of regenerative farmingWhy “best practice” varies...
