Natural selection has done a pretty good job at creating a wide variety of living species, but we humans can’t help but wonder whether we could do better. Using existing genomes as a starting point, biologists are getting increasingly skilled at designing organisms of our own imagination. But to do that, we need a better understanding of what different genes in our DNA actually do. Elizabeth Strychalski and collaborators recently announced the construction of a synthetic microbial organism that self-reproduces just like a normal unicellular creature. This work will help us understand the roles of genes in reproduction, one step on the road to making DNA molecules and artificial cells that will perform a variety of medical and biological tasks.Support Mindscape on Patreon.Elizabeth Strychalski received her Ph.D. in physics from Cornell University. She is the founder and current leader of the Cellular Engineering Group at the National Institute of Standards and Technology. She serves on the steering group for the Build-A-Cell collaboration.NIST web pageGoogle Scholar publicationsTalk on Controlling Biology with Complexity“Genetic requirements for cell division in a genomically minimal cell,” Pelletier et al.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Explore how biases creep into data and algorithms with Catherine D’Ignazio. Learn about the complexities of data classification, risks of misleading data visualization, and the need to address systemic discrimination in data science. Delve into feminist theories on objectivity and the importance of inclusive perspectives in scientific research. Discover how societal norms and prejudices impact human flaws and biases, and the power of data in promoting positive change.

It’s not easy, figuring out the fundamental laws of physics. It’s even harder when your chosen methodology is to essentially start from scratch, positing a simple underlying system and a simple set of rules for it, and hope that everything we know about the world somehow pops out. That’s the project being undertaken by Stephen Wolfram and his collaborators, who are working with a kind of discrete system called “hypergraphs.” We talk about what the basic ideas are, why one would choose this particular angle of attack on fundamental physics, and how ideas like quantum mechanics and general relativity might emerge from this simple framework.Support Mindscape on Patreon.Stephen Wolfram received his Ph.D. in physics from Caltech. He is the founder and CEO of Wolfram Research, and the creator of Mathematica, Wolfram|Alpha, and the Wolfram Language. Among his awards are a MacArthur Fellowship. Among his books is A New Kind of Science. He recently launched the Wolfram Physics Project.Web siteWolfram ResearchTalk on Computation and Fundamental PhysicsAmazon.com author pageWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to the July 2021 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). I take the large number of questions asked by Patreons, whittle them down to a more manageable size — based primarily on whether I have anything interesting to say about them, not whether the questions themselves are good — and sometimes group them together if they are about a similar topic. Enjoy!Support Mindscape on Patreon.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Religion is an important part of the lives of billions of people around the world, but what religious belief actually amounts to can vary considerably from person to person. Some believe in an anthropomorphic, judgmental God; others conceive of God as more transcendent and conceptual; some are animists who attribute spiritual essence to creatures and objects; and many more. I talk with writer and religious scholar Reza Aslan about his view of religion as a vocabulary constructed by human beings to express a connection with something beyond the physical world — why one might think that, and what it implies about how we should go about living our lives.Support Mindscape on Patreon.Reza Aslan received his Ph.D. in sociology from the University of California, Santa Barbara. He is currently a professor of creative writing at the University of California, Riverside. He is the author of numerous books, including No God but God: The Origins, Evolution, and Future of Islam; Zealot: The Life and Times of Jesus of Nazareth; and God: A Human History. He has also worked in television, producing and writing documentaries, and serving as a consulting producer for the drama series The Leftovers. He recently started a podcast, Metaphysical Milkshake, with actor Rainn Wilson.Web siteUCR web pageAmazon.com author pageWikipediaTwitterIMDb profile pageSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Depending on who you listen to, quantum computers are either the biggest technological change coming down the road or just another overhyped bubble. Today we’re talking with a good person to listen to: John Preskill, one of the leaders in modern quantum information science. We talk about what a quantum computer is and promising technologies for actually building them. John emphasizes that quantum computers are tailor-made for simulating the behavior of quantum systems like molecules and materials; whether they will lead to breakthroughs in cryptography or optimization problems is less clear. Then we relate the idea of quantum information back to gravity and the emergence of spacetime. (If you want to build and run your own quantum algorithm, try the IBM Quantum Experience.)Support Mindscape on Patreon.John Preskill received his Ph.D. in physics from Harvard University. He is currently the Richard P. Feynman Professor of Theoretical Physics at Caltech and the Davis Leadership Chair at the Institute for Quantum Information and Matter, as well as an Amazon Scholar at Amazon Web Services. Before moving into quantum information, he was a leading researcher in quantum field theory and black holes. He is the winner of multiple bets with Stephen Hawking.Caltech Theory Group web pageCaltech IQIM web pageGoogle Scholar publicationsBlog posts at Quantum FrontiersWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

It’s all well and good to talk abstractly about morality and justice, but at some point you have to sit down and figure out what to do about people who break the rules. In our modern legal system, mostly that involves incarceration, especially for so-called “street crimes.” Here in the US, we’ve taken that strategy to extremes, leading the world in the number of incarcerated people per capita. How do we decide who goes to prison, and how should we decide? I talk with criminologist Charis Kubrin on how the justice system distinguishes guilt from innocence. We discuss one interesting issue at length: the use of rap lyrics written by defendants as evidence of guilt. What role should artistic creations play in deciding someone’s culpability of a crime?Support Mindscape on Patreon.Charis Kubrin received her Ph.D. from the University of Washington. She is currently a professor of Criminology and Law and Society at the University of California, Irvine. She is co-author of the textbook Introduction to Criminal Justice: a Sociological Perspective. Among her awards are the Ruth Shonie Cavan Award and the Coramae Richey Mann Award from the American Society of Criminology, and the W.E.B. DuBois Award and the Paul Tappan Award from the Western Society of Criminology.Web pageGoogle Scholar publicationsWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Any system in which politicians represent geographical districts with boundaries chosen by the politicians themselves is vulnerable to gerrymandering: carving up districts to increase the amount of seats that a given party is expected to win. But even fairly-drawn boundaries can end up quite complex, so how do we know that a given map is unfairly skewed? Math comes to the rescue. We can ask whether the likely outcome of a given map is very unusual within the set of all possible reasonable maps. That’s a hard math problem, however — the set of all possible maps is pretty big — so we have to be clever to solve it. I talk with geometer Jordan Ellenberg about how ideas like random walks and Markov chains help us judge the fairness of political boundaries.Support Mindscape on Patreon.Jordan Ellenberg received his Ph.D. in mathematics from Harvard University in 1998. He is currently the John D. MacArthur professor of mathematics at the University of Wisconsin. He competed in the International Mathematical Olympiad three times, winning a gold medal twice. Among his awards are the MAA Euler Book Prize and a Guggenheim Fellowship. He is the author of How Not to Be Wrong and the novel The Grasshopper King. His new book is Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else.Web siteWisconsin web pageGoogle Scholar publicationsAmazon author pageWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to the June 2021 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). I take the large number of questions asked by Patreons, whittle them down to a more manageable size — based primarily on whether I have anything interesting to say about them, not whether the questions themselves are good — and sometimes group them together if they are about a similar topic. Enjoy!Support Mindscape on Patreon.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

You observe a phenomenon, and come up with an explanation for it. That’s true for scientists, but also for literally every person. (Why won’t my car start? I bet it’s out of gas.) But there are literally an infinite number of possible explanations for every phenomenon we observe. How do we invent ones we think are promising, and then decide between them once invented? Simon DeDeo (in collaboration with Zachary Wojtowicz) has proposed a way to connect explanatory values (“simplicity,” “fitting the data,” etc) to specific mathematical expressions in Bayesian reasoning. We talk about what makes explanations good, and how they can get out of control, leading to conspiracy theories or general crackpottery, from QAnon to flat earthers.Support Mindscape on Patreon.Simon DeDeo received his Ph.D. in astrophysics from Princeton University. He is currently an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, and External Professor at the Santa Fe Institute.Web siteCarnegie Mellon web page“From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning,” Wojtowicz and DeDeoAxiom of Chance blogGoogle Scholar publicationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.