Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Models
MP3•Episodio en casa
Manage episode 384067904 series 1244882
Contenido proporcionado por Cognitive Engineering and Aleph Insights. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Cognitive Engineering and Aleph Insights o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Models are widely used in science to represent complex real-world phenomena in simplified forms to advance understanding. Though often overlooked, models can facilitate analysis by reducing scale and complexity and help to visualise things that are difficult to understand. But what makes for a good model and how does an approximation of something tell us more about the thing itself? In this week’s podcast, we discuss models. We explore the desert kites of Asia and Africa, discuss heuristics, cartography, Borges, AI and machine learning, the historical development of models and examples of models that may surprise you. Finally, we describe some of our favourite model memories. A few things we mentioned in this podcast: - The oldest plans to scale of humanmade mega-structures https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277927 - On Exactitude in Science https://kwarc.info/teaching/TDM/Borges.pdf - Spinal Tap - Stonehenge https://www.youtube.com/watch?v=qAXzzHM8zLw - Bourton-on-the-Water model village https://en.wikipedia.org/wiki/Bourton-on-the-Water_model_village - Mary Poppins: Let’s Go Fly a Kite https://www.youtube.com/watch?v=WyhJhf6Q7lg For more information on Aleph Insights visit our website https://alephinsights.com or to get in touch about our podcast email [email protected]
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386 episodios
MP3•Episodio en casa
Manage episode 384067904 series 1244882
Contenido proporcionado por Cognitive Engineering and Aleph Insights. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Cognitive Engineering and Aleph Insights o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Models are widely used in science to represent complex real-world phenomena in simplified forms to advance understanding. Though often overlooked, models can facilitate analysis by reducing scale and complexity and help to visualise things that are difficult to understand. But what makes for a good model and how does an approximation of something tell us more about the thing itself? In this week’s podcast, we discuss models. We explore the desert kites of Asia and Africa, discuss heuristics, cartography, Borges, AI and machine learning, the historical development of models and examples of models that may surprise you. Finally, we describe some of our favourite model memories. A few things we mentioned in this podcast: - The oldest plans to scale of humanmade mega-structures https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277927 - On Exactitude in Science https://kwarc.info/teaching/TDM/Borges.pdf - Spinal Tap - Stonehenge https://www.youtube.com/watch?v=qAXzzHM8zLw - Bourton-on-the-Water model village https://en.wikipedia.org/wiki/Bourton-on-the-Water_model_village - Mary Poppins: Let’s Go Fly a Kite https://www.youtube.com/watch?v=WyhJhf6Q7lg For more information on Aleph Insights visit our website https://alephinsights.com or to get in touch about our podcast email [email protected]
…
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386 episodios
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