Podcast appearances and mentions of Lauren F Klein

Guests Amanda Casari | Julie Ferraioli | Juniper Lovato Panelist Richard Littauer Show Notes In today's episode of Sustain, Richard is joined by guests, Amanda Casari, devrel engineer and open source researcher at Google Open Source Programs Office, Julie Ferraioli, an independent open source strategist, researcher, practitioner, and Partner at Open Chapters, and Juniper Lovato, Director of partnerships and programs at the Vermont Complex Systems Center at UVM and Data Ethics researcher. Amanda, Julia, and Juniper join the discussion, bringing a wealth of expertise in the open source domain. The conversation gravitates towards an article co-authored by the guests, striking a balance between open source software and open source ecosystems research. The episode dives deep into the “10 simple things” format of the article, the crucial importance of collective conversations, and a keen exploration of open source researchers. Hit download now to hear more cool stuff! [00:01:29] Richard tells us why he invited our three guests today and he talks about their previous accomplishments and backgrounds. [00:02:17] Our discussion moves to the title of a new article co-authored by the guests. We hear about the intended audience of the article and the distinction made between open source software and open source ecosystems research. [00:03:31] Richard brings up where the article fits in the academic landscape, and it's revealed to be more editorial than research. [00:04:17] There's a conversation about the “10 simple things” format, its origin, and the motivation behind it. They put an emphasis on the need for collective conversation and the value of sharing experiences and knowledge. [00:07:28] Richard brings up the idea of open source researchers and mentions various figures and institutions involved in open source research. Juniper clarifies the target audience for the article and its intentions, Julie shares her perspective from the industry side and the importance of a critical framework, and Amanda expresses her emotional response to some researchers' approach towards the open source community. [00:12:03] Julie discusses the emotional challenges that inspired the paper's best practices emphasizing not repeating negative behaviors, and Juniper notes tension in research between benefits for the community and for the researchers emphasizing understanding norms and values for studying open source communities. [00:13:52] Richard mentions there are nine principles in the paper and asks about the principle regarding treating open source ecosystems as systems “in production.” Amanda highlights the importance of considering the real-world impact of research in open source and mentions an incident where a university was banned from the Linux kernel due to disruptive changes. [00:16:33] Julie emphasizes the potential broader impact on industry systems when modifying open source systems and she raises the point that tampering with open source systems might inadvertently affect critical infrastructure. Amanda comments on the increasing cybersecurity concerns around open source. [00:19:18] Richard brings up a real-world example of a university introducing bugs to the Linux kernel and points out the need for considering ethical implications beyond just production systems. [00:20:59] Richard draws parallels between addressing these issues and addressing racism, and Juniper adds that the scientific process is ongoing and should evolve with technology and societal values. [00:21:53] Julie describes the complexity of open source funding and compensation and points out the challenge in understanding motivations and expectations of open source participants. [00:24:07] Amanda emphasizes the difficulty of summarizing each section, noting that each one could be a chapter or book and she expresses her concerns about not just individual equity but organizational equity. [00:25:59] Juniper raises the issue of invisible labor in open source. [00:26:39] Julie highlights the importance of recognizing that open source repository data might not capture all the activity and contributions made by community members. [00:27:37] Amanda discusses the challenges and importance of capturing data, especially when it may put individuals at risk. Juniper stresses the importance of involving communities in the research process and gaining their consent, ensuring their dignity, security, and privacy. [00:29:49] Julie discusses the complexities of identity within the open source community, highlighting that individuals can hold multiple identities in this space. [00:31:10] Richard adds that the insight shared are not just for open source researchers but also for anyone involved in the open source ecosystem. He emphasizes the need to be aware of biases and the importance of understanding the data one works with. [00:32:22] Richard prompts a summary of the main points in the paper, which are read by our guests. [00:34:48] Find out where you can learn more about our guests and their work online. Quotes [00:20:08] “Production as the end line for ethical values leads to a lot of really thorny edge cases that are going to ultimately hurt the communities of people who aren't working on production ready systems.” [00:21:20] “Just as open source is always in production, so is the scientific process.” [00:23:24] “Even having the privilege of time to dedicate to open source is not available to all.” [00:24:26] “It's just not individual equity but organizational equity.” [00:25:47] “We can't ignore the very large industry that is open source that has all that money moving around and where it's going is a question we should all be asking.” [00:26:00] “There's a lot of invisible labor in open source.” [00:28:32] “Leaving out communities from the scientific process of the research process leaves open these vulnerabilities without giving them a voice to what kind of research is being done about them without their consent.” [00:29:17] “What we are starting to consider acceptable surveillance in public is really being challenged.” [00:29:33] “It's really important for us to make sure that we're maintaining people's dignity, security, and privacy while we're doing this kind of research.” Spotlight [00:35:45] Richard's spotlight is The Long Trail that he's going to hike. [00:36:17] Amanda's spotlight is contributor-experience.org and the PyPI subpoena transparency report. [00:37:20] Julie's spotlight is the book, Data Feminism. [00:38:09] Juniper's spotlight is a new tool called, XGI. Links SustainOSS (https://sustainoss.org/) SustainOSS Twitter (https://twitter.com/SustainOSS?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) SustainOSS Discourse (https://discourse.sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Open Collective-SustainOSS (Contribute) (https://opencollective.com/sustainoss) Richard Littauer Twitter (https://twitter.com/richlitt?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Amanda Casari Twitter (https://twitter.com/amcasari) Amanda Casari Mastodon (https://hachyderm.io/@amcasari) Google Open Source (https://opensource.google/) Open Source Stories (http://opensourcestories.org/) Julia Ferraioli Twitter (https://twitter.com/juliaferraioli) Julia Ferraioli Website (https://www.juliaferraioli.com/) Open Chapters (https://openchapters.tech/) Juniper Lovato Website (https://juniperlovato.com/) Juniper Lovato Twitter (https://twitter.com/juniperlov) Vermont Complex Systems Center-UVM (https://www.complexityexplorer.org/explore/resources/75-vermont-complex-systems-center) Sustain Podcast-Episode 111: Amanda Casari on ACROSS and Measuring Contributions in OSS (https://podcast.sustainoss.org/111) XKCD (https://xkcd.com/) Beyond the Repository: Best practices for open source ecosystems researchers by Amanda Casari, Julia Ferraioli, and Juniper Lovato (https://dl.acm.org/doi/pdf/10.1145/3595879) Operationalizing the CARE and FAIR Principles for Indigenous data futures (scientific data) (https://www.nature.com/articles/s41597-021-00892-0) The Long Trail (https://www.greenmountainclub.org/the-long-trail/) Welcome to the Contributor Experience Handbook (https://contributor-experience.org/) Contributor experience-Why it matters (SciPy 2023) (https://blog.pypi.org/posts/2023-05-24-pypi-was-subpoenaed/) PyPI was subpoenaed by Ee Durbin (https://blog.pypi.org/posts/2023-05-24-pypi-was-subpoenaed/) Data Feminism by Catherine D'Ignazio and Lauren F. Klein (https://mitpress.mit.edu/9780262547185/data-feminism/) The CompleX Group Interactions (XGI) (https://xgi.readthedocs.io/en/stable/index.html) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guests: Amanda Casari, Julia Ferraioli, and Juniper Lovato.

At the 2023 UK Evaluation Society presentation, we synthesised our experience with national and international non-governmental organisations, focusing on the pragmatic application of Kimberlé Crenshaw's intersectionality and the Data Feminism principles of Catherine D'Ignazio and Lauren F. Klein while addressing ethical considerations and strategies. Our presentation, Negotiating Feminist Principles and Approaches in Complex Contexts, underscores that traditional feminist and anti-racist perspectives often overlook the complexities of multi-dimensional identities. Get Premium Content on Patreon Hosted on Acast. See acast.com/privacy for more information.

Was ist data feminism und was hat das mit Macht zu tun? Diese Folge heißt "data feminism", was gleichzeitig der Titel des Buches ist, über das wir reden werden. "Data Feminism" wurde von Catherine D'Ignazio und Lauren F. Klein geschrieben. Laut den Autorinnen ist Data Science eine Form von Macht mit der sowohl Gutes, als auch Schlechtes getan werden kann. Und wie das mit der von den Autorinnen präsentierten Perspektive des intersektionellen Feminismus zusammenhängt, werden wir uns näher ansehen. Dafür haben wir uns 3 Kapitel des Buches genauer angesehen und werden darüber reden, welche Beobachtungen, Beispiele und Anmerkungen wir dabei vorfinden.

In this captivating and insightful episode, Teia shares her upcoming three-week clinical trial adventure with listeners. As she embarks on this unique journey, Lauren and Teia discuss the challenges and benefits of participating in clinical trials, emphasising the importance of staying informed and asking questions about one's health. They also delve into the dynamics of hierarchy, gender, and power in the medical field, drawing insights from resources such as "Invisible Women" and "Data Feminism." With a blend of humour, personal experience, and critical discussions on health and empowerment, this episode offers a fresh perspective on the world of clinical trials and the necessity of being an advocate for one's own health.Things we mention: Smarter Faster Better by Charles Duhigg"Invisible Women: Data Bias in a World Designed for Men" by Caroline Criado Perez"Data Feminism" by Catherine D'Ignazio and Lauren F. Klein"Grey's Anatomy" - TV Show"The Undiscussed Trauma of COVID-19" - Article (source to be provided)Thalidomide tragedymRNA technology and COVID vaccineFederal Aviation Administration (FAA) and power dynamics in the aviation industryPositivity bias in research and evaluationFollow us:Instagram: @jrnypodcastTwitter: @jrnypodcastEdited by Teia Rogers Music by Praz Khanal Get Premium Content on Patreon Hosted on Acast. See acast.com/privacy for more information.

Lauren is on a lifelong journey to understanding racism and her own role in causing harm. From swimming to festivals, examples of racism, misogyny, and exclusion are everywhere. All this attunement has left Lauren with some questions. Who better to ask, than Teia!? This episode asks questions like, how do you call out racism in a meeting room? What if you notice there are no people of colour or minority groups invited to a meeting you have just turned up to? Is it ever appropriate to where another group's cultural dress? The questions you were too afraid to ask...We would love to hear from you! Send us an email at jrnypodcast@gmail.com or a message on Instagram with your questions and we'll read them out in a future episode.Things we talk about:Book: Data Feminism by By Catherine D'Ignazio and Lauren F. KleinPodcast: Visible women by Caroline Criado PerezWant more?Get Premium Content on Patreon.Follow us:Instagram: @jrnypodcastwitter: @jrnypodcastEdited by Teia RogersMusic by Praz Khanal Get Premium Content on Patreon Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.

Chances are you're listening to this on an advanced computer that fits in your pocket, but is really just one tentacle tip of a giant, planet-spanning architecture for the gathering and processing of data. A common sentiment among the smartphone-enabled human population is that we not only don't own our data, but our data owns us — or, at least, the pressure of responsibility to keep providing data to the Internet and its devices (and the wider project of human knowledge construction) implicates us in the evolution of a vast, mysterious, largely ineffable self-organizing system that has grabbed the reins of our economies and cultures. This is, in some sense, hardly new: since humankind first started writing down our memories to pass them down through time, we have participated in the “dataome” — a structure and a process that transcends, and transforms, our individuality. Fast-forward to the modern era, when the rapidly-evolving aggregation of all human knowledge tips the scales in favor of the dataome's emergent agency and its demands on us…Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I'm your host, Michael Garfield, and every other week we'll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.This week on Complexity, we talk to Caleb Scharf, Director of Astrobiology at Columbia University, about his book, The Ascent of Information: Books, Bits, Genes, and LIfe's Unending Algorithm. In this episode, we talk about the interplay of information, energy, and matter; the nature of the dataome and its relationship to humans and our artifacts; the past and future evolution of the biosphere and technosphere; the role of lies in the emergent informational metabolisms of the Internet; and what this psychoactive frame suggests about the search for hypothetical intelligences we may yet find in outer space.Be sure to check out our extensive show notes with links to all our references at complexity.simplecast.com. Note that applications are now open for our Complexity Postdoctoral Fellowships! Tell a friend. And if you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage.Thank you for listening!Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedInMentioned and related resources:Caleb's Personal Website, Research Publications, and Popular WritingsCaleb's TwitterWe Are The Aliensby Caleb Scharf at Scientific AmericanWe Are Our Data, Our Data Are Usby Caleb Scharf at The Los Angeles TimesIs Physical Law an Alien Intelligence?by Caleb Scharf at NautilusWhere Do Minds Belong?by Caleb Scharf at AeonAutopoiesis (Wikipedia)The physical limits of communicationby Michael Lachmann, M. E. J. Newman, Cristopher MooreThe Extended Phenotypeby Richard Dawkins“Time Binding” (c/o Alfred Korzybski's General Semantics) (Wikipedia)The Singularity in Our Past Light-Coneby Cosma ShaliziArgument-making in the wildSFI Seminar by Simon DeDeoCoarse-graining as a downward causation mechanismby Jessica FlackIf Modern Humans Are So Smart, Why Are Our Brains Shrinking?by Kathleen McAuliffe at Discover MagazineWhen and Why Did Human Brains Decrease in Size? A New Change-Point Analysis and Insights From Brain Evolution in Antsby Jeremy DeSilva, James Traniello, Alexander Claxton, & Luke FanninComplexity 35 - Scaling Laws & Social Networks in The Time of COVID-19 with Geoffrey West (Part 1)The Collapse of NetworksSFI Symposium Presentation by Raissa D'SouzaJevons Paradox (Wikipedia)What Technology Wantsby Kevin KellyThe Glass Cageby Nicholas CarrThe evolution of languageby Martin Nowak and David KrakauerComplexity 70 - Lauren F. Klein on Data Feminism (Part 1)Complexity 87 - Sara Walker on The Physics of Life and Planet-Scale IntelligenceSimulation hypothesis (Wikipedia)Complexity 88 - Aviv Bergman on The Evolution of Robustness and Integrating The DisciplinesBuilding a dinosaur from a chickenby Jack Horner at TEDComplexity 80 - Mingzhen Lu on The Evolution of Root Systems & Biogeochemical CyclingWhy Animals Lie: How Dishonesty and Belief Can Coexist in a Signaling Systemby Jonathan T. Rowell, Stephen P. Ellner, & H. Kern ReeveThe evolution of lying in well-mixed populationsby Valerio Capraro, Matjaž Perc & Daniele ViloneComplexity 42 - Carl Bergstrom & Jevin West on Calling Bullshit: The Art of Skepticism in a Data-Driven World

Math and music share their mystery and magic. Three notes, played together, make a chord whose properties could not be predicted from those of the separate notes. In the West, music theory and mathematics have common origins and a rich history of shaping and informing one another's field of inquiry. And, curiously, Western composition has evolved over several hundred years in much the same way economies and agents in long-running simulations have: becoming measurably more complex; encoding more and more environmental structure. (But then, sometimes collapses happen, and everything gets simpler.) Music theorists, like the alchemists that came before them, are engaged in a centuries-long project of deciphering the invisible geometry of these relationships. What is the hidden grammar that connects The Beatles to Johann Sebastian Bach — and how similar is it to the hidden order disclosed by complex systems science? In other words, what makes for “good” music, and what does it have to do with the coherence of the natural world?Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I'm your host, Michael Garfield, and every other week we'll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.This week on the show, we speak with mathematician and composer Dmitri Tymozcko at Princeton University, whose work provides a new rigor to the study of the Western canon and illuminates “the shape of music” — a hyperspatial object from which all works of baroque, classical, romantic, modern, jazz, and pop are all low-dimensional projections. In the first conversation for this podcast with MIDI keyboard accompaniment, we follow upon Gottfried Leibniz's assertion that music is “the unconscious exercise of our mathematical powers.” We explore how melodies and harmonies move through mathematical space in ways quite like the metamorphoses of living systems as they traverse evolutionary fitness landscapes. We examine the application of information theory to chord categorization and functional harmony. And we ask about the nature of randomness, the roles of parsimony and consilience in both art and life.If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage. You can find the complete show notes for every episode, with transcripts and links to cited works, at complexity.simplecast.com.Thank you for listening!Join our Facebook discussion group to meet like minds and talk about each episode.Podcast theme music by Mitch Mignano.Follow us on social media:Twitter • YouTube • Facebook • Instagram • LinkedInMentions and additional resources:All of Tymoczko's writings mentioned in this conversation can be found on his Princeton.edu websiteYou can explore his interactive music software at MadMusicalScience.comThe Geometry of Musical Chordsby Dmitri TymoczkoAn Information Theoretic Approach to Chord Categorization and Functional Harmonyby Nori Jacoby, Naftali Tishby and Dmitri TymoczkoThis Mathematical Song of the Emotionsby Dmitri TymoczkoThe Sound of Philosophyby Dmitri TymoczkoSelect Tymoczko Video Lectures:Spacious Spatiality (SEMF) 2022The Quadruple HierarchyThe Shape of Music (2014)On the 2020 SFI Music & Complexity Working Group (with a link to the entire video playlist of public presentations).On the 2022 SFI Music & Complexity Working GroupFoundations and Applications of Humanities Analytics Institute at SFIShort explainer animation on SFI Professor Sidney Redner's work on “Sleeping Beauties of Science”The evolution of syntactic communicationby Martin Nowak, Joshua Plotkin, Vincent JansenThe Majesty of Music and Math (PBS special with SFI's Cris Moore)The physical limits of communicationby Michael Lachmann, Mark Newman, Cristopher MooreSupertheories and Consilience from Alchemy to ElectromagnetismSFI Seminar by Simon DeDeoWill brains or algorithms rule the kingdom of science?by David Krakauer at Aeon MagazineScaling, Mirror Symmetries and Musical Consonances Among the Distances of the Planets of the Solar Systemby Michael Bank and Nicola Scafetta“The reward system for people who do a really wonderful job of extracting knowledge and understanding and wisdom…is skewed in the wrong way. If left to the so-called free market, it's mainly skewed toward entertainment or something that's narrowly utilitarian for some business firm or set of business firms.”– Murray Gell-Mann, A Crude Look at The Whole Part 180/200 (1997)Related Episodes:Complexity 81 - C. Brandon Ogbunu on Epistasis & The Primacy of Context in Complex SystemsComplexity 72 - Simon DeDeo on Good Explanations & Diseases of EpistemologyComplexity 70 - Lauren F. Klein on Data Feminism: Surfacing Invisible LaborComplexity 67 - Tyler Marghetis on Breakdowns & Breakthroughs: Critical Transitions in Jazz & MathematicsComplexity 46 - Helena Miton on Cultural Evolution in Music and Writing SystemsComplexity 29 - On Coronavirus, Crisis, and Creative Opportunity with David Krakauer

Hello and welcome to CHAOSScast Community podcast, where we share use cases and experiences with measuring open source community health. Elevating conversations about metrics, analytics, and software from the Community Health Analytics Open Source Software, or short CHAOSS Project, to wherever you like to listen. Today, we have three amazing guests with us, Amanda Casari, Katie McLaughlin, and John Meluso. Amanda is a Developer Relations Engineer and researcher at Google at the Open Source Programs Office, Katie is a Developer Relations Engineer at Google, and John is the OCEAN Postdoctoral Fellow at the University of Vermont. They are with us to talk about Project OCEAN (Open-Source Complex Ecosystems And Networks), how it came to be, where it is now, and what they hope to accomplish going forward. We also learn more about what they see as an open source ecosystem, and they go in depth about contributions and taxonomy. Download this episode now to find out much more, and don't forget to subscribe for free to this podcast on your favorite podcast app and share this podcast with your friends and colleagues! [00:03:44] John, Amanda, and Katie tell us their backgrounds and how they got involved in open source. [00:07:23] We learn more about OCEAN, how it came to be, and where it's at now. [00:11:25] Amanda and John explain a bit more about ecosystems. [00:15:52] Georg wonders what they have realized early on or over time that they want to make sure everyone who looks at open source takes away from their work. [00:19:59] Amanda brings up a question to the panelists concerning the idea of atomic information around software projects and balancing how much do they keep with a repo versus how do you allow for information to be distributed in many places that many people work, but it doesn't get lost and you don't lose somebody's attribution for the work they do. [00:28:58] Georg brings up the Types of Contributions metrics link CHAOSS uses that helps show how people can contribute to open source, and Katie shares her thoughts on it. [00:32:13] Sophie talks about “Which contributions count? Analysis of attribution in open source” report and what this research explores. John explains how they balance things by varying the kinds of methodologies they use. [00:38:49] Find out where you can follow Amanda, Katie, and John online. Value Adds (Picks) of the week: [00:39:45] Georg's pick is LifeTime wellness and fitness center. [00:40:31] Matt's pick is places to visit in Colorado: Rocky Mtn. National Park, Great Sand Dunes, and Gunnison National Park. [00:41:08] Sophia's pick is emergent property. [00:41:57] Amanda's pick is trading Vermont Golden Dome books with her oldest child. [00:43:10] Katie's pick is the book, CPython Internals by Anthony Shaw. [00:44:03] John's pick is the book, Data Feminism by Catherine D'Ignazio and Lauren F. Klein. Request from our Guests: Open Source Folks: Take (and share!) this anonymous survey about receiving credit for tasks in open source! Conducted by researchers at the University of Vermont in partnership with Google Open Source. [https://qualtrics.uvm.edu/jfe/form/SV_1zUs19oVcZJ0SPA](https://qualtrics.uvm.edu/jfe/form/SV_1zUs19oVcZJ0SPA) Panelists: Georg Link Sophia Vargas Matt Germonprez Guests: Amanda Casari Katie McLaughlin John Meluso Sponsor: SustainOSS (https://sustainoss.org/) Links: CHAOSS (https://chaoss.community/) CHAOSS Project Twitter (https://twitter.com/chaossproj?lang=en) CHAOSScast Podcast (https://podcast.chaoss.community/) podcast@chaoss.community (mailto:podcast@chaoss.community) Project OCEAN (https://vermontcomplexsystems.org/partner/OCEAN/) Amanda Casari Twitter (https://twitter.com/amcasari?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Open Source Stories-Amanda Casari Website (https://www.opensourcestories.org/) Amanda Casari Linkedin (https://www.linkedin.com/in/amcasari/) Katie McLaughlin Twitter (https://twitter.com/glasnt) Katie McLaughlin Website (https://glasnt.com/) John Meluso Twitter (https://twitter.com/johnmeluso) John Meluso Linkedin (https://www.linkedin.com/in/jmeluso/) John Meluso, PhD Website (https://www.johnmeluso.com/) John Meluso Email (mailto:john.meluso@uvm.edu) ACROSS Taxonomy-GitHub (https://github.com/google/across) CHAOSS Types of Contributions metrics (https://chaoss.community/metric-types-of-contributions/) Which contributions count? Analysis of attribution in open source-Jean-Gabriel Young, Amanda Casari, Katie McLaughlin, Milo Z. Trujillo, Laurent Hébert-Dufresne, James P. Bagrow (https://arxiv.org/abs/2103.11007) Open source ecosystems need equitable credit across contributions-Amanda Casari, Katie McLaughlin, Milo Z. Trujillo, Jean-Gabriel young, James P. Bagrow, & Laurent Hébert-Dufresne (https://www.nature.com/articles/s43588-020-00011-w) Nadia Eghbal Website (https://nadiaeghbal.com/) Roads and Bridges: The Unseen Labor Behind Our Digital Infrastructure by Nadia Eghbal (https://www.fordfoundation.org/work/learning/research-reports/roads-and-bridges-the-unseen-labor-behind-our-digital-infrastructure/) Working in Public: The Making and Maintenance of Open Source Software by Nadia Eghbal (https://www.amazon.com/Working-Public-Making-Maintenance-Software/dp/0578675862) A Place to Hang Your Hat- Leslie Hawthorn's Hat Rack blog post (https://hawthornlandings.org/2015/02/13/a-place-to-hang-your-hat/) Octohatrack-GitHub (https://github.com/LABHR/octohatrack) A tool for tracking non-code GitHub contributions-Katie McLaughlin (https://opensource.com/life/15/10/octohat-github-non-code-contribution-tracker) Recognize All Contributors (https://allcontributors.org/) CHAOSScast Podcast- Episode 39: Leaderboards and Metrics at Drupal.org with Matthew Tift and Tim Lehnen (https://podcast.chaoss.community/39) LifeTime (https://www.lifetime.life/) Rocky Mountain National Park (https://www.nps.gov/romo/index.htm) Great Sand Dunes (https://www.nps.gov/grsa/index.htm) Black Canyon Of The Gunnison (https://www.nps.gov/blca/index.htm) What Are Emergent Properties? (https://sciencing.com/emergent-properties-8232868.html) Vermont Golden Dome Books (https://libraries.vermont.gov/services/children_and_teens/book_awards/vtgdba) CPython Internals by Andrew Shaw (https://realpython.com/products/cpython-internals-book/) Data Feminism by Catherine D'Ignazio (https://www.amazon.com/Feminism-Strong-Ideas-Catherine-DIgnazio/dp/0262044005/) Special Guests: Amanda Casari, John Meluso, and Katie McLaughlin.

We are joined by co-author of Data Feminism Lauren F. Klein. Data Feminism presents a new way of thinking about data science and ethics - one that is informed by intersectional feminist thought. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? In this episode, Lauren talks about her background, walks us through the writing process, and provides advice on how to implement the principles of data feminism. FREE Data Feminism book access  Follow: @laurenfklein Data Do No Harm Guide

In Episode 129, Quinn tries to better understand data privacy, data stewardship, and what it means for Indigenous cultures in the future of biotech, how we design equity into genetic research, and who gets to make those decisions. His guest is Krystal Tsosie, a geneticist, bioethicist, and—first and foremost to her—a person Indigenous to the southwestern United States, specifically the Navajo nation. She is the co-founder and Ethics and Policy Director at the Native BioData Consortium, the first Indigenous-led biological data repository for tribes in the US. “Representation” is just the first step (and so much more than who shows up on screen in the latest Disney movie (though even things there are still embarrassingly bland).  Next up is inclusivity: It's about who's in the room writing and building the future of technology, it's about asking who makes the rules, and who benefits from them?  But the real goal is equity, and benefit. And biotech in particular is one sector that could get out of hand real fast unless we approach it in a more inclusive and cooperative way. Krystal started her career with one question: Why don't Indigenous people generally participate in genetic studies? And the dominoes fell from there. Representation, inclusivity, equity, benefit – we can achieve these, and also uncouple DNA from identity. Have feedback or questions?http://www.twitter.com/importantnotimp ( Tweet us), or send a message to questions@importantnotimportant.com New here? Get started with our fan favorite episodes athttp://podcast.importantnotimportant.com ( podcast.importantnotimportant.com). Important, Not Important Book Club: https://bookshop.org/a/8952/9780816665860 (Native American DNA) by Kim TallBear https://bookshop.org/a/8952/9780262044004 (Data Feminism) by Catherine D'Ignazio and Lauren F. Klein https://bookshop.org/shop/importantnotimportant (https://bookshop.org/shop/importantnotimportant) Links: https://nativebio.org/ (nativebio.org) Twitter: https://twitter.com/kstsosie (@kstsosie) Connect with us: Subscribe to our newsletter at http://importantnotimportant.com/ (ImportantNotImportant.com)! Follow us on Twitter: http://twitter.com/ImportantNotImp (twitter.com/ImportantNotImp) Follow Quinn: http://twitter.com/quinnemmett (twitter.com/quinnemmett) Follow Brian: https://twitter.com/beansaight (twitter.com/beansaight) Like and share us on Facebook: http://facebook.com/ImportantNotImportant (facebook.com/ImportantNotImportant) Intro/outro by Tim Blane: http://timblane.com/ (timblane.com) Important, Not Important is produced by http://crate.media/ (Crate Media) Support this podcast

In this episode, Ali and Jade reflect on DFN's three-part Data Feminism Book Club Series, hosted in collaboration with Toronto Womxn in Data Science. This episode serves as a recap, for those of you who weren't able to attend the event live, and a reflection, for those of you who did attend but want to dive deeper. We feature snippets of our Q&A with co-author Lauren F. Klein and comments from our partner, Kishawna, Founder and Executive Director of Toronto Womxn in Data Science. FREE Data Feminism Study Guide  Data collection, femicides and policy change: Lessons from Mexico (Article by Brenda González) Follow: @laurenfklein  Follow: @WomxnDSTO 

Podcast: Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas (LS 68 · TOP 0.05% what is this?)Episode: 156 | Catherine D'Ignazio on Data, Objectivity, and BiasPub date: 2021-07-19How can data be biased? Isn't it supposed to be an objective reflection of the real world? We all know that these are somewhat naive rhetorical questions, since data can easily inherit bias from the people who collect and analyze it, just as an algorithm can make biased suggestions if it's trained on biased datasets. A better question is, how do biases creep in, and what can we do about them? Catherine D'Ignazio is an MIT professor who has studied how biases creep into our data and algorithms, and even into the expression of values that purport to protect objective analysis. We discuss examples of these processes and how to use data to make things better.Support Mindscape on Patreon.Catherine D'Ignazio received a Master of Fine Arts from Maine College of Art and a Master of Science in Media Arts and Sciences from the MIT Media Lab. She is currently an assistant professor of Urban Science and Planning and Director of the Data+Feminism Lab at MIT. She is the co-author, with Lauren F. Klein, of the book Data Feminism.Web siteMIT web pageGoogle Scholar publicationsData + Feminism LabWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.The podcast and artwork embedded on this page are from Sean Carroll | Wondery, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

How can data be biased? Isn't it supposed to be an objective reflection of the real world? We all know that these are somewhat naive rhetorical questions, since data can easily inherit bias from the people who collect and analyze it, just as an algorithm can make biased suggestions if it's trained on biased datasets. A better question is, how do biases creep in, and what can we do about them? Catherine D'Ignazio is an MIT professor who has studied how biases creep into our data and algorithms, and even into the expression of values that purport to protect objective analysis. We discuss examples of these processes and how to use data to make things better.Support Mindscape on Patreon.Catherine D'Ignazio received a Master of Fine Arts from Maine College of Art and a Master of Science in Media Arts and Sciences from the MIT Media Lab. She is currently an assistant professor of Urban Science and Planning and Director of the Data+Feminism Lab at MIT. She is the co-author, with Lauren F. Klein, of the book Data Feminism.Web siteMIT web pageGoogle Scholar publicationsData + Feminism LabWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Cohost Erica Chidi is joined by the coauthors of Data Feminism: Catherine D'Ignazio (an assistant professor of urban science and planning at MIT) and Lauren F. Klein (an associate professor of English and quantitative theory and methods at Emory University). They explore the limits and uses of data, how data can reinforce and challenge systems of power, and how bad or missing data can hurt women. “We need to be assuming that these structural forces of oppression are going to show up in our data and our databases in the same ways that they show up in our policies and our institutions,” says D'Ignazio. (For more, see The goop Podcast hub.) Learn more about your ad choices. Visit podcastchoices.com/adchoices

As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists–and others who rely on data in their work–to ignore. But it is precisely this power that makes it worth asking: “Data science by whom? Data science for whom? Data science with whose interests in mind? These are some of the questions that emerge from what we call data feminism, a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. Illustrating data feminism in action, this talk will show how challenges to the male/female binary can help to challenge other hierarchical (and empirically wrong) classification systems; it will explain how an understanding of emotion can expand our ideas about effective data visualization; how the concept of invisible labor can expose the significant human efforts required by our automated systems; and why the data never, ever “speak for themselves.” The goal of this talk, as with the project of data feminism, is to model how scholarship can be transformed into action: how feminist thinking can be operationalized in order to imagine more ethical and equitable data practices.

In this conversation, Philip talks to leading thinkers, Lina Srivastava and Mia Charlene White. The trio wrestle with the meaning and validity of cancel culture and the connective tissue of accountability, anger and forgiveness. The Drop – The segment of the show where Philip and his guest share tasty morsels of intellectual goodness and creative musings. Philip's Drop: Outkast Aquemini (https://open.spotify.com/album/5ceB3rxgXqIRpsOvVzTG28?si=43bzfVkgQDmmT9HGSolC_g) Lina's Drop: Intimations – Zadie Smith (https://www.penguinrandomhouse.com/books/669582/intimations-by-zadie-smith/) Invisible Women: Exposing Data Bias in a World Designed for Men – Caroline Criado-Perez (https://carolinecriadoperez.com/) Data Feminism – Catherine D'Ignazio and Lauren F. Klein (https://mitpress.mit.edu/books/data-feminism) Mia's Drop: Collective Courage – Jessica Gordon Nembhard (https://www.psupress.org/books/titles/978-0-271-06216-7.html) Abolition Geography – Ruth Wilson Gilmore (https://www.versobooks.com/books/3785-abolition-geography) Special Guests: Lina Srivastava and Mia White.

Vores mulighed for at opsamle information i digital form er eksploderet.Men data er ikke neutralt, hverken når det opsamles, analyseres eller bruges - og både sexisme, racisme og andre typer diskrimination dukker op i data produkter. Ikke desto mindre bruges og fremstilles data ofte som sandhed i en tid, hvor vi falder i svime over Big Data's samfundsændrende potentialer.Det er én af hovedpointerne fra bogen Data Feminism, som udkom i år. Marie Høst taler med den ene forfatter til bogen, Lauren F. Klein.

Catherine D'Ignazio and Lauren F. Klein, Data Feminism (Ethics of AI in Context) by Centre for Ethics, University of Toronto

In this episode, social and data scientist Aurore Paligot shares her fantastic journey of becoming a data scientist after studying literature and getting a Ph.D. in linguistics first. Using examples from her various work, Aurore tells us why is important to bring together various disciplines to inform and give context when creating data, and to create inclusivity. She explains what data is and who creates it, the of role data visualisation, and what the Tada manifesto does for ethical and responsible use of data. You may also hear us talking about inclusion in sign language, the concept of the magic glove, AI and societal values we embed into AI, and data feminism. Alongside examples of exciting projects and collaborations Aurore is working on in her free time, as she tries to understand how using social media data can inform us about how citizens live in smart cities; how data helps us understand the ecosystem of a place to build something with it; how we live in the city in times of pandemics and experience the emptiness of the city, and what is the representation of the city from inside. Aurore Paligot is a linguist turned data specialist whose focus is to deliver meaningful insights and human-centric visualisations. Her research interests currently lie at the intersection between Tech and Social Sciences and part of her free time is spent exploring Digital Humanities. She is also a R-Ladies enthusiast and a keen Tableau developer. Aurore holds a Ph.D. in linguistics from the University of Namur (Belgium) and a specialisation in Advanced Analytics and Machine Learning from the Ubiqum Code Academy (The Netherlands). She has more than eight years of experience working with qualitative, quantitative and experimental research methods and is currently working as a Data & Analytics Consultant at Positive Thinking Company. You can connect with Aurore on LinkedIn at https://www.linkedin.com/in/aurorepaligot/ and Twitter @AurorePaligot Show Notes and Links: Aurore Paligot’s website: http://aurore.rbind.io/projects/ Book: Data Feminism by Catherine D'Ignazio and Lauren F. Klein: https://mitpress.mit.edu/books/data-feminism Tada Manifesto : https://tada.city/en/home-en/ Interview Barack Obama and Joi Ito, Wired 2016: https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/ Music Credits: Migrant Mother by Mild Maynyrd licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License, Creative Commons. Get in touch with us: Twitter: https://twitter.com/NLEpodcast Instagram: https://www.instagram.com/nlepodcast/ Facebook: https://www.facebook.com/NotLoudEnoughPodcast/ Email: notloudenoughpodcast@gmail.com

Vores mulighed for at opsamle information i digital form er eksploderet. Men data er ikke neutralt, hverken når det opsamles, analyseres eller bruges - og både sexisme, racisme og andre typer diskrimination dukker op i data produkter. Ikke desto mindre bruges og fremstilles data ofte som sandhed i en tid, hvor vi falder i svime over Big Data's samfundsændrende potentialer. Det er én af hovedpointerne fra bogen Data Feminism, som udkom i år. Marie Høst taler med den ene forfatter til bogen, Lauren F. Klein. Links Data Feminism: http://datafeminism.io Lauren F. Klein: https://lklein.com Seren Williams-sagen: https://www.facebook.com/watch/SerenaWilliams/

Most contemporary digital studies are interested in distant-reading paradigms for large-scale literary history. This book asks what happens when such telescopic techniques function as a microscope instead. The first monograph to bring a range of computational methods to bear on a single novel in a sustained fashion, it focuses on the award-winning and genre-bending Cloud Atlas (2004). Published in two very different versions worldwide without anyone taking much notice, David Mitchell's novel is ideal fodder for a textual-genetic publishing history, reflections on micro-tectonic shifts in language by authors who move between genres, and explorations of how we imagine people wrote in bygone eras. Though Close Reading with Computers (Stanford University Press, 2019) focuses on but one novel, it has a crucial exemplary function: author Martin Paul Eve demonstrates a set of methods and provides open-source software tools that others can use in their own literary-critical practices. In this way, the project serves as a bridge between users of digital methods and those engaged in more traditional literary-critical endeavors. Close Reading with Computers was the winner of the 2019 Philip Leverhulme Prize, sponsored by The Leverhulme Trust. Martin Paul Eve is Professor of Literature, Technology, and Publishing at Birkbeck College, University of London. Reading mentioned in the episode: -Catherine D'Ignazio and Lauren F. Klein, Data Feminism (MIT Press, 2020) -Lauren F. Klein, ‘Distant Reading After Moretti' -Andrew Piper, Enumerations: Data and Literary Study (University of Chicago Press 2018) -Ted Underwood, Distant Horizons: Digital Evidence and Literary Change (University of Chicago Press, 2019). Joanna Taylor is Presidential Academic Fellow in Digital Humanities at the University of Manchester. Her research focuses on literary geographies and environmental histories in nineteenth-century Britain. She is on Twitter at @JoTayl0r0 Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/digital-humanities

Most contemporary digital studies are interested in distant-reading paradigms for large-scale literary history. This book asks what happens when such telescopic techniques function as a microscope instead. The first monograph to bring a range of computational methods to bear on a single novel in a sustained fashion, it focuses on the award-winning and genre-bending Cloud Atlas (2004). Published in two very different versions worldwide without anyone taking much notice, David Mitchell's novel is ideal fodder for a textual-genetic publishing history, reflections on micro-tectonic shifts in language by authors who move between genres, and explorations of how we imagine people wrote in bygone eras. Though Close Reading with Computers (Stanford University Press, 2019) focuses on but one novel, it has a crucial exemplary function: author Martin Paul Eve demonstrates a set of methods and provides open-source software tools that others can use in their own literary-critical practices. In this way, the project serves as a bridge between users of digital methods and those engaged in more traditional literary-critical endeavors. Close Reading with Computers was the winner of the 2019 Philip Leverhulme Prize, sponsored by The Leverhulme Trust. Martin Paul Eve is Professor of Literature, Technology, and Publishing at Birkbeck College, University of London. Reading mentioned in the episode: -Catherine D’Ignazio and Lauren F. Klein, Data Feminism (MIT Press, 2020) -Lauren F. Klein, ‘Distant Reading After Moretti’ -Andrew Piper, Enumerations: Data and Literary Study (University of Chicago Press 2018) -Ted Underwood, Distant Horizons: Digital Evidence and Literary Change (University of Chicago Press, 2019). Joanna Taylor is Presidential Academic Fellow in Digital Humanities at the University of Manchester. Her research focuses on literary geographies and environmental histories in nineteenth-century Britain. She is on Twitter at @JoTayl0r0 Learn more about your ad choices. Visit megaphone.fm/adchoices

Most contemporary digital studies are interested in distant-reading paradigms for large-scale literary history. This book asks what happens when such telescopic techniques function as a microscope instead. The first monograph to bring a range of computational methods to bear on a single novel in a sustained fashion, it focuses on the award-winning and genre-bending Cloud Atlas (2004). Published in two very different versions worldwide without anyone taking much notice, David Mitchell's novel is ideal fodder for a textual-genetic publishing history, reflections on micro-tectonic shifts in language by authors who move between genres, and explorations of how we imagine people wrote in bygone eras. Though Close Reading with Computers (Stanford University Press, 2019) focuses on but one novel, it has a crucial exemplary function: author Martin Paul Eve demonstrates a set of methods and provides open-source software tools that others can use in their own literary-critical practices. In this way, the project serves as a bridge between users of digital methods and those engaged in more traditional literary-critical endeavors. Close Reading with Computers was the winner of the 2019 Philip Leverhulme Prize, sponsored by The Leverhulme Trust. Martin Paul Eve is Professor of Literature, Technology, and Publishing at Birkbeck College, University of London. Reading mentioned in the episode: -Catherine D’Ignazio and Lauren F. Klein, Data Feminism (MIT Press, 2020) -Lauren F. Klein, ‘Distant Reading After Moretti’ -Andrew Piper, Enumerations: Data and Literary Study (University of Chicago Press 2018) -Ted Underwood, Distant Horizons: Digital Evidence and Literary Change (University of Chicago Press, 2019). Joanna Taylor is Presidential Academic Fellow in Digital Humanities at the University of Manchester. Her research focuses on literary geographies and environmental histories in nineteenth-century Britain. She is on Twitter at @JoTayl0r0 Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation’s founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson’s emancipation agreement with his enslaved chef to Malinda Russell’s Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation’s founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson’s emancipation agreement with his enslaved chef to Malinda Russell’s Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation’s founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson’s emancipation agreement with his enslaved chef to Malinda Russell’s Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation’s founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson’s emancipation agreement with his enslaved chef to Malinda Russell’s Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation's founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson's emancipation agreement with his enslaved chef to Malinda Russell's Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

There is no eating in the archive. This is not only a practical admonition to any would-be researcher but also a methodological challenge, in that there is no eating—or, at least, no food—preserved among the printed records of the early United States. Synthesizing a range of textual artifacts with accounts (both real and imagined) of foods harvested, dishes prepared, and meals consumed, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) reveals how a focus on eating allows us to rethink the nature and significance of aesthetics in early America, as well as of its archive. Klein considers eating and early American aesthetics together, reframing the philosophical work of food and its meaning for the people who prepare, serve, and consume it. She tells the story of how eating emerged as an aesthetic activity over the course of the eighteenth century and how it subsequently transformed into a means of expressing both allegiance and resistance to the dominant Enlightenment worldview. Klein offers richly layered accounts of the enslaved men and women who cooked the meals of the nation’s founders and, in doing so, directly affected the development of our national culture—from Thomas Jefferson’s emancipation agreement with his enslaved chef to Malinda Russell’s Domestic Cookbook, the first African American–authored culinary text. The first book to examine the gustatory origins of aesthetic taste in early American literature, An Archive of Taste shows how thinking about eating can help to tell new stories about the range of people who worked to establish a cultural foundation for the United States. Diana DePasquale is an Associate Teaching Professor at Bowling Green State University. She teaches courses on race, gender, sexuality, and American culture. Diana has been published in Studies in American Humor, and online at In Media Res. She is also a proud winner of The Moth Story Slam in Detroit.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In the sixth episode of Voices of the Data Economy, we spoke to Lauren F. Klein, Co-author of Data Feminism and Associate Professor of English and Quantitative Theory and Methods at Emory University. In a conversation with us, Lauren decoded the seven principles of Data Feminism; how power structures lead to problems in collecting impactful data; challenges in the world of data visualization; and more. Voices of Data Economy is supported by Ocean Protocol Foundation. Ocean is kickstarting a Data Economy by breaking down data silos and equalizing access to data for all. The podcast is co-hosted by Nima Asghari and Diksha Dutta. Our audio engineer is Petr Legkov. --- Send in a voice message: https://anchor.fm/dataeconomy/message

Business Book Movement - Notion360. Revisión Online del Libro: Data Feminism - Catherine D'Ignazio y Lauren F. Klein. Invitado: Beto Saavedra. Únete a nuestra comunidad en Discord a través del siguiente enlace: https://bookmovement.co/discord See acast.com/privacy for privacy and opt-out information.

How can feminist thinking be operationalized into more ethical and equitable data practices? As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, asymmetrical methods of application, and unequal effects on both individuals and groups have become increasingly difficult for data scientists—and others who rely on data in their work—to ignore. But it is precisely this power that makes it worth asking: “Data science by whom? Data science for whom? Data science, with whose interests in mind?” These are some questions that emerge from what we call data feminism; a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. This talk draws on insights from the authors' collaboratively crafted book about how challenges to the male/female binary can challenge other hierarchical (and empirically wrong) classification systems; how an understanding of emotion can expand our ideas about effective data visualization; and how the concept of “invisible labor” can expose the significant human efforts required by our automated systems. About the Speakers Catherine D'Ignazio (she/her) is a hacker mama, scholar, and artist/designer who focuses on feminist technology, data literacy and civic engagement. She has run women's health hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. Her book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. D'Ignazio is an assistant professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT where she is the Director of the Data + Feminism Lab. More information about Catherine can be found on her website at www.kanarinka.com. Lauren F. Klein (she/her) is a scholar and teacher whose work crosses the fields of data science, digital humanities, and early American literature. She has designed platforms for exploring the contents of historical newspapers, recreated forgotten visualization schemes with fabric and addressable LEDs, and, with her students, cooked meals from early American recipes—and then visualized the results. In 2017, she was named one of the “rising stars in digital humanities” by Inside Higher Ed. She is the author of An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) and, with Catherine D'Ignazio, Data Feminism (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities, a hybrid print-digital publication stream that explores debates in the field as they emerge. Klein is an Associate Professor of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab. More information can be found on her website: lklein.com. About Databites Data & Society's “Databites” speaker series presents timely conversations about the purpose and power of technology, bridging our interdisciplinary research with broader public conversations about the societal implications of data and automation.  

Dr. Lauren F. Klein is an Associate Professor of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab. Klein is the author of An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) and, with Catherine D’Ignazio, Data Feminism (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities, a hybrid print-digital publication stream that explores debates in the field as they emerge. Klein was an Andrew W. Mellon Foundation Fellow at the Library Company in Spring 2014. This chat originally aired at 7:00 p.m., Thursday, May 14, 2020.

In the two years since Catherine D'Ignazio last spoke with our Jen Ashman, she has co-authored a fascinating book called *[Data Feminism* and started a new gig as an Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. This time, their dialogue touches on the global benefits of teaching data feminism—“a way of thinking about data, both their uses and their limits, that is informed by direct experience, by a commitment to action, and by intersectional feminist thought," write D'Ignazio and her co-author Lauren F. Klein—remotely. Listen and learn about how our interdependence might lead to co-liberation, edible pie charts, and the idea of situated knowledge. There are multiple sides to this delightfully intelligent conversation, which makes sense because, as D'Ignazio says: “Data can be many things. Data could be images. They could be stories. They could be responses to a question.” Stand by for a number of thoughtful questions and wise responses… Host: Macy Donaway Editor: Kip Pilalas Producer: Ken Gordon

What else do you do while at home for a very long time? Read an epic fantasy! Several books that take you on a journey that removes you from home and puts you in a place that exists only on the pages. Epic Fantasy Talked about: Throne of Glass by Sarah J Maas Game of Thrones by George RR Martin Dune by Frank Herbert Court of Thorns and Roses by Sarah J Maas Lord of the Rings by JRR Tolkein Harry Potter by JK Rowling Name of the Wind (The Kingkiller Chronicles) by Patrick Rothfuss Ranger's Apprentice by John Flanagan Gregor the Overlander by Suzanne Collins Twilight by Stephenie Meyer The Witcher by Andrzej Sapkowski Star Wars novels- MANY The Fifth Season (The Broken Earth Trilogy) by NK Jemisin What We're Reading: Rimike: House of Earth and Blood by Sarah J Maas Six of Crows by Leigh Bardugo Amy: The Titan Series by Christin Harber Data Feminism by Catherine D'Ignazio and Lauren F. Klein Check Please 2: Sticks and Scones by Ngozi Ukazu Maurissa: Throne of Glass by Sarah J Maas Non-fantasy mentioned by Maurissa: The Wilderness World of John Muir edited by Edwin Way Teale Anne of Green Gables by Lucy Maud Montgomery Educated by Tara Westover A Raisin in the Sun by Lorraine Hainsbury The Yankee Widow by Linda Lael Miller Check out the new Website -- HERE