
Sign up to save your podcasts
Or
The new year is the time to try something new and in this week’s episode, both our storytellers approach their scientific problems in the most science-y way possible – through trial and error. It’s also how Story Collider is going to approach this year as we make a few small changes to the podcast. We can only hope to be as successful as our storytellers in our experiments. Happy New Year!
Part 1: Computational biologist Francis Windram is determined to figure out how to make spider webs glow in the dark.
Part 2: Avian ecologist Emily Williams refuses to be outwitted by a bird.
Francis Windram is a PhD student and Imperial College London, working on computational approaches to extracting spider web traits. He is also a musician, poet, climber, and ex-chef, and generally spends his time being a little too enthusiastic about the minutia of life. His passion for education and outreach has led him to teach sciencey things both in the UK and USA, and he believes strongly that in sharing knowledge through humour and candid cautionary tales we can learn to treat ourselves with more kindness, love, and respect than we otherwise would.
Emily Williams is a scientist and PhD student at Georgetown University, where she is studying the migration of a common but overlooked bird, the American Robin. Emily is passionate about outreach and the accessibility of science, and is a fierce defender of the small, underestimated, and undervalued. While she is a Florida native, Emily has done her best to dissociate herself from all Florida man tropes foremost by loving cold and dark places that have topography. Before moving to DC she lived the last five years in Alaska, where she worked as an avian ecologist for the National Park Service at Denali National Park and Preserve. When she isn’t dreaming of a winter wonderland, Emily can be found reading, baking, hiking, and finding new donut places to try.
Learn more about your ad choices. Visit megaphone.fm/adchoices
4.4
788788 ratings
The new year is the time to try something new and in this week’s episode, both our storytellers approach their scientific problems in the most science-y way possible – through trial and error. It’s also how Story Collider is going to approach this year as we make a few small changes to the podcast. We can only hope to be as successful as our storytellers in our experiments. Happy New Year!
Part 1: Computational biologist Francis Windram is determined to figure out how to make spider webs glow in the dark.
Part 2: Avian ecologist Emily Williams refuses to be outwitted by a bird.
Francis Windram is a PhD student and Imperial College London, working on computational approaches to extracting spider web traits. He is also a musician, poet, climber, and ex-chef, and generally spends his time being a little too enthusiastic about the minutia of life. His passion for education and outreach has led him to teach sciencey things both in the UK and USA, and he believes strongly that in sharing knowledge through humour and candid cautionary tales we can learn to treat ourselves with more kindness, love, and respect than we otherwise would.
Emily Williams is a scientist and PhD student at Georgetown University, where she is studying the migration of a common but overlooked bird, the American Robin. Emily is passionate about outreach and the accessibility of science, and is a fierce defender of the small, underestimated, and undervalued. While she is a Florida native, Emily has done her best to dissociate herself from all Florida man tropes foremost by loving cold and dark places that have topography. Before moving to DC she lived the last five years in Alaska, where she worked as an avian ecologist for the National Park Service at Denali National Park and Preserve. When she isn’t dreaming of a winter wonderland, Emily can be found reading, baking, hiking, and finding new donut places to try.
Learn more about your ad choices. Visit megaphone.fm/adchoices
38,569 Listeners
43,791 Listeners
90,745 Listeners
1,252 Listeners
38,215 Listeners
3,996 Listeners
2,797 Listeners
27,218 Listeners
11,599 Listeners
6,862 Listeners
22,146 Listeners
7,712 Listeners
43,319 Listeners
618 Listeners
15,883 Listeners