Carry the Two

We're taking a short break to prepare for the rest of Season 2 and our collaboration with AGU's Third Pod from the Sun. So stay tuned! Find our transcript here: LINK Follow more of IMSI's work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

We have another guest host this episode, with Jude Higdon. Jude is the Chief Information Officer at Bennington College and co-founder of the QSIDE Institute. Jude led the charge during IMSI's Research Collaboration Workshop that was aimed at addressing small town policing. Using the road map laid out by the Small Town Policing Accountability (SToPA) Lab, Jude's team developed a toolkit for procuring, structuring, and analyzing policing data in small towns that lack the resources and systems to make their own data public. By the end of a month at IMSI, Jude's team had a prototype that can empower small community-based participatory action research. Find our transcript here: LINK Curious to learn more? Check out these additional links: QSIDE Institute: https://qsideinstitute.org/ Small Town Policing Accountability previous research: https://bigdata.duke.edu/projects/small-town-policing-accountability/ Submit a Research Collaboration Workshop proposal to IMSI: https://www.imsi.institute/proposals/collaboration/ Follow more of IMSI's work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Jude Higdon: https://www.bennington.edu/about/college-leadership/jude-higdon This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Joining the helm as cohost, Bates Professor Carrie Diaz Eaton leads this week's exploration of how to build a data science tool, not just for local activists, but with them. We begin with how the partnership between the environmental justice leadership program Nuevas Voces and Carrie's team of interdisciplinary math researchers first met. Then, we hear from the members of Carrie's Research Collaboration Workshop team as they worked at a breakneck pace here at IMSI to have a completed prototype by the end of a month. Find our transcript here: LINK Curious to learn more? Check out these additional links: Listen to Carrie's first feature on Carry the Two: https://podcasts.apple.com/us/podcast/carrie-diaz-eaton-on-equity-in-policy-documents/id1629115184?i=1000567232994 Woonasquatucket River Watershed Council: https://wrwc.org/wp/ Nuevas Voces: https://wrwc.org/wp/nuevas-voces-graduation/ Submit a Research Collaboration Workshop proposal to IMSI: https://www.imsi.institute/proposals/collaboration/ Providence VECINA: https://math-data-justice-collaborative.github.io/fuertes-pvd/#1 Example similar to VECINA: https://chichives.com/ Follow more of IMSI's work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Carrie Diaz Eaton: @mathprofcarrie This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. Sound effect from pixabay. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

What if you had a way to upload as many selfies as you wanted to instagram or facebook, and still protect yourself from facial recognition software? Turns out, that’s not a pipe dream! In fact, the SAND Lab (Security, Algorithms,Networking and Data) at the University of Chicago is developing all sorts of tools and techniques to help us protect our digital privacy. Joining us in this episode, Heather Zheng, PhD from the SAND lab, walks us through both examples of current data privacy concerns, as well as new potential threats to privacy. But don’t worry, for each concern, Heather is able to provide a solution to keep your data private. Find our transcript here: LINK Curious to learn more? Check out these additional links: (Guy) Fawkes image/photo masking: http://sandlab.cs.uchicago.edu/fawkes/ Research about tracking you through your home with wi-fi: http://sandlab.cs.uchicago.edu/adversarialwifi/ Research on recovering your key strokes: https://sandlab.cs.uchicago.edu/keystroke/ Hidden Markov models explained: https://brilliant.org/wiki/hidden-markov-models/ Allyson’s episode about GPT-3: [LINK] Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Heather Zheng: https://people.cs.uchicago.edu/~htzheng/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

How can a teacher know if a student actually wrote their book report, or if a computer did it? Are AI writers coming for journalists’ jobs? What does it mean when a language processing model can write its own computer code upon request? These are all questions currently sparked by GPT-3, a free online natural language processing artificial intelligence by Open AI. This isn’t your dimestore chatbot. GPT-3 takes advantage of a whole new method of artificial intelligence research, called neural nets, to create plays, write code, and even roleplay as a historical figure. But what are the limitations to this kind of AI? In this episode of Carry the Two, University of Chicago professor Allyson Ettinger walks us through how GPT-3 manages to sound so human and where and how it fails in interesting ways. Find our transcript here: LINK Curious to learn more? Check out these additional links: Use natural language processing to talk with a TV character or historical figure: https://beta.character.ai/ Chat bot using GPT-3.5: https://chat.openai.com/chat Find out how you can chat with GPT-3: https://lifearchitect.ai/how-do-i-talk-to-gpt/ When GPT-3 accidentally lies: https://www.technologyreview.com/2022/11/18/1063487/meta-large-language-model-ai-only-survived-three-days-gpt-3-science/ Microsoft’s chatbot that went racist: https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist Is GPT-3 a replacement or tool for journalists: https://contently.net/2022/12/15/trends/chatgpt/ Undark’s interview with GPT-3 on truth & journalism: https://undark.org/2023/01/07/interview-a-conversation-on-truth-and-fiction-with-chatgpt/ Previous Carry the Two episode on statistical language learning with Ben Reuveni: https://podcasts.apple.com/us/podcast/ben-reuveni-on-statistical-learning/id1629115184?i=1000577827727 Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Allyson Ettinger: https://linguistics.uchicago.edu/people/allyson-ettinger, @AllysonEttinger This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. Sound effects from pixabay. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Darwin first proposed evolution as a way that species change and diverge to fill niches in their environment. This observation led to the first, rudimentary species trees, showing ancestors and descendants across genetic lineages. But this work is far from settled. As we continue to collect more and richer data sets from species, whether they be plants, bacteria, or mammals like ourselves, researchers need new and better methods for building phylogenetic trees. That’s where Tandy Warnow, from the University of Illinois Urbana-Champaign, comes in. Find our transcript here: LINK Curious to learn more? Check out these additional links: Tandy’s talk for IMSI’s workshop, Eliciting Structure in Genomics Data: https://www.imsi.institute/videos/theory-and-practice-for-large-scale-phylogeny-estimation/ History of the ‘Tree of Life’: https://www.nature.com/articles/540038a Multispecies coalescent process: https://academic.oup.com/book/26340/chapter-abstract/194642189?redirectedFrom=fulltext Gene duplication: https://en.wikipedia.org/wiki/Evolution_by_gene_duplication Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Tandy Warnow: https://tandy.cs.illinois.edu/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Imagine trying to unfold 5 layered, thin metallic sheets, each the size of a tennis court without tearing or snagging the material. Now imagine doing it in the vacuum of space, at a distance much farther than the moon, and that a multimillion dollar project relies on your success. That provides a bit of perspective for the massive undertaking that was the James Webb Space Telescope (or JWST). In this episode of Carry the Two, we hear from NASA lead systems engineer, Mike Menzel, all about designing and testing the solar shield for JWST. Find our transcript here: LINK Curious to learn more? Check out these additional links: JWST’s orbit: https://jwst.nasa.gov/content/about/orbit.html General physics of the JWST: https://www.wired.com/story/the-physics-of-the-james-webb-space-telescope/ Video of JWST unfolding (referenced in the episode): https://www.youtube.com/watch?v=Pg-YI0T-4Mk Coordinating the 18 mirrors: https://www.nasa.gov/vision/universe/starsgalaxies/wavefront.html What is a Lagrange point: https://solarsystem.nasa.gov/resources/754/what-is-a-lagrange-point/ Why hexagons are a great shape (for telescope mirrors & other uses): https://www.youtube.com/watch?v=thOifuHs6eY Controversy surrounding the name of JWST: https://www.nytimes.com/2022/12/19/us/james-webb-telescope-gay-rights.html JWST’s images of Neptune: https://www.nasa.gov/feature/goddard/2022/new-webb-image-captures-clearest-view-of-neptune-s-rings-in-decades Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute Follow Mike Menzel: https://webb.nasa.gov/content/meetTheTeam/people/menzel.html This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions & original score for Star Trek by Alexander Courage. Sound effect by beetpro at pixabay. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

We're taking a short break to prepare for the new year and season 2. So stay tuned! Find our transcript here: LINK Follow more of IMSI's work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Our last episode featuring Statistician-in-Residence Tiffany Christian (at least for now), dives into sampling methods. How can we track animal populations, especially those who share our urban environment with us? Ecologists and statisticians have found methods to track everything from coyotes to Canadian geese and can see how their populations are changing over time. Find our transcript here: LINK Curious to learn more? Check out these additional links: Video explaining the statistics of capture mark recapture: https://www.youtube.com/watch?v=240806aPHVg Collection of examples using capture mark recapture: https://www.usgs.gov/centers/eesc/science/capture-mark-recapture-science?qt-science_center_objects=0 Urban coyote research: https://urbancoyoteresearch.com/coyote-info/basics-studying-coyotes Sampling methodology: https://www.khanacademy.org/math/statistics-probability/designing-studies/sampling-methods-stats/a/sampling-methods-review Smithsonian story about pack rat research: https://www.smithsonianmag.com/science-nature/archaeological-treasures-hidden-rat-nests-180973544/ Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Tiffany Christian: https://www.linkedin.com/in/tiffany-christian-733137b5/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Wetlands like the marshes located just outside the city of New Orleans, LA are often overlooked, but these ecosystems provide many vital services. Wetlands, like all ecosystems, are under threat by climate change and particularly the increased tropical storms and hurricanes that tear across our coasts. So how can we monitor vast areas of wetlands to check their health, year after year? Statistician-in-Residence Tiffany Christian explains how researchers can remotely monitor wetland health and spot disruption of annual growth cycles. Find our transcript here: LINK Curious to learn more? Check out these additional links: Review of storm effects on wetlands: https://www.sciencedirect.com/science/article/abs/pii/S1872203215000657#:~:text=Impacts%20of%20tropical%20storms%20on%20wetland%20landscape%20changes,change%20wetland%20morphology%20and%20elevation Using remote sensing to detect changes in wetlands growing season: https://www.sciencedirect.com/science/article/pii/S0304380015002197 Overview of wetland health in Louisana and impact of MRGO: https://mississippiriverdelta.org/coalition-unveils-findings-on-mrgo-ecosystem-recovery-15-years-after-hurricane-katrina/ and the associated white paper https://mrgomustgo.org/wp-content/uploads/2020/09/MRGO-White-Paper-10-01-2020.pdf Importance of wetlands: https://www.epa.gov/wetlands/why-are-wetlands-important#:~:text=Wetlands%20and%20People,our%20use%20at%20no%20cost. Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Tiffany Christian: https://www.linkedin.com/in/tiffany-christian-733137b5/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

If you live in the United States, have you already voted? If not, go vote! The bedrock of American democracy is the idea of citizens voting for candidates to represent their interests. However, determining how to cluster voters into districts has always been a fraught topic, particularly when it comes to ensuring that minorities have representation. How can we create the most fair electoral districts? How can we use geometric topographical analysis to recognize gerrymandering strategies like “packing” and “cracking”? We brought in Tufts University mathematician and founder of the Metric Geometry and Gerrymandering Group Redistricting Lab Moon Duchin to help us discuss these pressing issues. Find our transcript here: LINK Curious to learn more? Check out these additional links: Duchin’s collaboration about ranked choice voting: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3778021 Brief review of Duchin’s scientific paper: https://www.newamerica.org/political-reform/reports/evaluating-the-effects-of-ranked-choice-voting/the-future-is-proportional-improving-minority-representation-through-new-electoral-systems-gerdus-benade-ruth-buck-moon-duchin-dara-gold-and-thomas-weighill/ Quanta’s interview with Duchin: https://www.quantamagazine.org/moon-duchin-on-fair-voting-and-random-walks-20200407/ Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Moon Duchin: https://math.tufts.edu/people/faculty/moon-duchin This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Typical invasive species that pop to mind tend to be large animals like the common carp in the Mississippi River, or species obviously detrimental to their non-native habitat like zebra mussels in the Great Lakes. But what about smaller species that are difficult to spot and that are located in remote areas of the country? It turns out, researchers can use statistical methods to help assess remote ecosystems that may be in danger. In the case of today’s topic, we take a look at the invasive wooly adelgid in the Appalachian mountains. Remember, for the rest of this mini season, we have a recurring guest joining us! Meet Carry the Two’s Statistician-in-Residence, Tiffany Christian! She’s a PhD student in the Statistics department at Northwestern University and will be leading us through some fascinating research. Find our transcript here: LINK Curious to learn more? Check out these additional links: Find the research we discuss in this episode here: https://www.sciencedirect.com/science/article/abs/pii/S0378112713008219 Learn about the topics covered in IMSI’s fall program, Confronting Global Climate Change: https://www.imsi.institute/activities/confronting-global-climate-change/ Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Tiffany Christian: https://www.linkedin.com/in/tiffany-christian-733137b5/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

Have you noticed how summer days seem so much hotter in the city center as compared to the burbs or out in the country? Part of this is due to the “heat island effect,” where heat absorbing materials like concrete and asphalt make areas that are less green feel much hotter. As it turns out, even in big cities, not all neighborhoods are equally affected… But why? To help answer this question and for the rest of this mini season, we have a recurring guest joining us! Meet Carry the Two’s Statistician-in-Residence, Tiffany Christian! She’s a PhD student in the Statistics department at Northwestern University and will be leading us through some fascinating research. Find our transcript here: LINK Curious to learn more? Check out these additional links: Find the research we discuss in this episode here: https://www.nature.com/articles/s41467-021-22799-5%5C Learn about the topics covered in IMSI’s fall program, Confronting Global Climate Change: https://www.imsi.institute/activities/confronting-global-climate-change/ Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Tiffany Christian: https://www.linkedin.com/in/tiffany-christian-733137b5/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

For this episode, host Sadie Witkowski goes a bit off-script. Sadie is joined by sports reporter Jon Zaghloul to interview rookie Cubs pitcher and applied math University of Chicago undergraduate Wilson Cunningham. This conversation ranges from interests in mathematics and statistics to applying those statistics to baseball. Find our transcript here: LINK Curious to learn more? Check out these additional links: University of Chicago’s story about Wilson’s baseball career: https://news.uchicago.edu/story/cubs-prospect-pitcher-wilson-cunningham-balances-rigorous-uchicago-college-education-baseball-training Chicago Tribune’s story about Wilson’s baseball career: https://www.chicagotribune.com/news/ct-university-chicago-cubs-baseball-rookie-pitcher-20220723-66rzhlqhuredta67nchmfcg7xy-story.html Discover more about UChicago’s Computational and Applied Mathematics Program: https://cam.uchicago.edu/ Hear more of Jon’s reporting: https://linktr.ee/jonzsports Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Wilson Cunningham: @wils_cunningham Follow Jon Zaghloul: @JonZSports This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

We're taking a short break to prepare our mini season, as well as start working on season 2. So stay tuned! Find our transcript here: LINK Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

Even if you don't think you're good at math, it turns out that our brains are basically little statistical machines. Learning a new language, whether as a baby or as an adult attempting to become bilingual, means recognizing the underlying statistical patterns within language. Don't believe us? Take it from the researchers at Duolingo! We're rounding out our first season of the show with Duolingo learning scientist Ben Reuveni, PhD. Find our transcript here: LINK Curious to learn more? Check out these additional links: Put your statistical learning to the test at www.duolingo.com To learn more about language and how the folks at Duolingo think about it, check out https://blog.duolingo.com/ keep your eyes open for the recently announced Duolingo Math app https://www.duolingo.com/math Follow more of IMSI's work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Ben Reuveni: https://www.linkedin.com/in/ben-reuveni/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

Self-driving cars evoke an image of perfectly synchronized traffic moving through streets as all the vehicles coordinate with each other. Of course, this is a future vision and not the current state of autonomous vehicles. But the process of going from a few self-driving cars to a fully automated grid will be a slow process. Sharon Di, traffic engineer and Columbia University researcher, is here to help explain how engineers and policymakers think about these issues. Find our transcript here: LINK Curious to learn more? Check out these additional links: Video of waymo car failing to merge: https://www.dailymail.co.uk/video/sciencetech/video-1752896/Video-Waymos-self-driving-minivans-struggles-merge-left-lane.html Arizona ring road experiment: http://csl.arizona.edu/content/dampening-traffic-waves-autonomous-vehicles Academic review article about AV ring road studies: https://dl.acm.org/doi/10.1145/3494577 Video of Sharon’s talk at IMSI: https://www.imsi.institute/videos/driving-and-routing-games-for-autonomous-vehicles-on-networks-a-mean-field-game-approach/ Video explainer on traffic and self-driving cars: https://www.youtube.com/watch?v=iHzzSao6ypE Check your feed to see previous episodes mentioned, including Dario on Honeybees and Merouane on 5G. Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Sharon Di: https://www.civil.columbia.edu/faculty/sharon-di This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

Some rare weather events, like the 100-year-flood, are confusingly named. This is because 100 years refers to a statistical probability and not a guaranteed rate. That, combined with our changing climate, means predicting future weather events can be difficult. Thankfully, we have statistical tools to help us with this problem! Sadie and Ian speak with Richard Smith about climate change, rare weather events, and how climate modeling works. Find our transcript here: LINK Curious to learn more? Check out these additional links: Learn about the topics covered in IMSI’s fall program, Confronting Global Climate Change: https://www.imsi.institute/activities/confronting-global-climate-change/ Watch Richard’s presentation on detection and attribution for spatial extremes: https://www.imsi.institute/videos/detection-and-attribution-for-spatial-extremes/ Thanks to the Texas Tribune for their reporting on the 2021 winter storm and Hurricane Harvey. Specifically, https://www.texastribune.org/2022/02/17/texas-winter-storm-2021-stories/ https://www.texastribune.org/2018/01/06/tide-high-wading-through-hurricane-harveys-damage-audio/ Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Richard Smith: https://rls.sites.oasis.unc.edu/ This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

5G technologies have long been the subject of concerns and conspiracy theories, especially because many 5G towers rolled out around the same time as the start of the COVID19 pandemic. This episode’s guest, Merouane Debbah, has heard all sorts of stories because of his research. Merouane uses math to study wireless communication and how to improve cell phone technology, including 5G (and 6G!) networks. In this episode, Sadie and Ian talk about the history of wireless technology, the future of AI, and the math behind it all. Find our transcript here: LINK Curious to learn more? Check out these additional links: https://www.imsi.institute/videos/distributed-network-design-in-the-era-of-deep-learning-part-1/ https://www.imsi.institute/videos/distributed-network-design-in-the-era-of-deep-learning-part-2/ (One of Merouane’s talks for IMSI - Introduction to Distributed Solutions) Looking towards 6g and beyond: https://wired.me/technology/artificial-intelligence/tii-op-ed-ai-cross-center-unit/ Teaching machines to talk like humans: https://www.bizpreneurme.com/researchers-teaching-machines-to-talk-like-humans/ Scientific article on distributed signal processimg: https://arxiv.org/abs/2206.00422 Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Merouane Debbah: @debbahmerouane This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions.

Welcome to the second episode of Carry the Two! We’re the show for people who enjoy discovering hidden elements that impact our lives in the most unexpected ways. In this episode, Ian and Sadie talk about how honeybees decide on new hive locations when they outgrow their current home. With the help of mathematician Dario Bauso, they learn how researchers use mean field games to model such decision-making and how it applies to other cases as well. Find our transcript here: LINK Curious to learn more? Check out these additional links: https://www.imsi.institute/videos/mean-field-game-for-collective-decision-making-in-honeybees-via-switched-systems/ (Dario’s talk at IMSI) https://ieeexplore.ieee.org/document/9529000 L. Stella, D. Bauso, P. Colaneri, "Mean-Field Games for Collective Decision-Making in Honeybees via Switched Systems", IEEE Transactions on Automatic Control, online doi: 10.1109/TAC.2021.3110166 https://www.sciencedirect.com/science/article/abs/pii/S0005109818305375 L. Stella and D. Bauso, “Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals", Automatica vol. 100, 2019, pp. 61--66 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0073216 D. Pais et al., "A mechanism for value-sensitive decision-making", PLoS ONE, vol. 8, no. 9, Sep. 2013 10.1109/LCSYS.2018.2838445 L. Stella and D. Bauso, “Bio-Inspired Evolutionary Game Dynamics in Symmetric and Asymmetric Models", IEEE Control Systems Letters, 2.3 2018 pp. 405--410 Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Dario Bauso: @g_t_engineering This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. Special thanks to Dario Bauso, the Institute for Mathematical and Statistical Innovation, the University of Chicago, and the National Science Foundation. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Welcome to the very first episode of Carry the Two! We’re the show for people who enjoy discovering hidden elements that impact our lives in the most unexpected ways, and today we’re taking a look at how Carrie Diaz Eaton and colleagues use the tool set of mathematics to reflect on STEM (science, technology, engineering, & mathematics) policy documents. Specifically, Carrie used her mathematical know-how to quantify how a policy document from the National Academies of Science, Medicine, and Engineering was altered between the interim and final report. And, what those changes meant for issues of including diverse audiences in STEM. Find our transcript here: LINK Curious to learn more? Check out these additional links: https://osf.io/preprints/socarxiv/5837t/ https://inquire.catapult.bates.edu/ https://www.msri.org/workshops/1022/schedules/30110 (MSRI video of her talk) Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute Follow Carrie Diaz Eaton: @mathprofcarrie This episode was audio engineered by Tyler Damme. Music by Blue Dot Sessions. Special thanks to Carrie Diaz Eaton, the Institute for Mathematical and Statistical Innovation, the University of Chicago, and the National Science Foundation. The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.

Check out our new mathematics and statistics podcast, Carry the Two, coming out on June 21st.