https://mlml.io/p/harvard/ Recent harvard on metaLAB (at) Harvard, Berlin & Basel en-US https://mlml.io/p/data-twist/ Sat, 22 Aug 2026 00:00:00 +0000 https://mlml.io/p/data-twist/ project The Data Twist is a participatory art project that kinesthetically plays with survey data to promote public discourse−to be fully developed in workshops, deployed as a performative installation, and supported by a choreographic interface. The project’s dance games are designed to balance humor and discomfort in order to facilitate nonverbal debate in public settings. The structural similarities between the survey format of The Data Twist and the U.S. Census, elections, and polls presents the conditions for participants to civically exercise parrhesia or “fearless speech,” but in the nonverbal register of dance. https://mlml.io/p/sustainable/ Sun, 31 May 2026 00:00:00 +0000 https://mlml.io/p/sustainable/ project ¿SUSTAINABLE? A Spring 2026 Online Symposium Series Launching in the Spring 2026 semester, **¿SUSTAINABLE? ** is a five-part online symposium series that critically interrogates the notion of sustainability across landscape architecture, design, urban planning, and environmental studies. Structured as a sequence of focused conversations, the series asks whether, how, and for whom current practices can truly be called “sustainable,” and what kinds of frameworks are needed to move beyond rhetorical claims toward more rigorous, accountable approaches. https://mlml.io/p/humane-infrastructures/ Sun, 01 Feb 2026 00:00:00 +0000 https://mlml.io/p/humane-infrastructures/ project Humane Infrastructures is a deep journey into humanistic and humane knowledge and how it can be engaged to help us collaboratively respond in ethical and sustainable ways to our current global challenges. Patrik Svensson takes the reader through a series of examples, case studies, experiments, and lively dialogues to reconsider infrastructure. He brings people, ideas, and perspectives in through a set of documents and documented experiences, some of which draw from the author’s practice in Umeå, Stockholm, New York City, and Los Angeles. https://mlml.io/p/data-storytelling-a-century-of-olympic-history/ Sun, 30 Nov 2025 00:00:00 +0000 https://mlml.io/p/data-storytelling-a-century-of-olympic-history/ project Curated by metaLAB (at) Harvard, Berlin, & Basel under the direction of Jeffrey Schnapp, the installation is part of Performance—the second of three exhibitions leading up to the 2026 Milan-Cortina Winter Olympics, hosted at the Gallerie di Piedicastello in Trento. Supported by the Fondazione Museo Storico del Trentino in collaboration with the Olympic Museum in Lausanne, Performance reflects on a century of Olympic evolution through a visual and data-driven lens. https://mlml.io/p/relating/ Fri, 10 Oct 2025 00:00:00 +0000 https://mlml.io/p/relating/ project Technologies of Relating Technologies of Relating is a participatory workshop series that explores embodied movement as a fundamental technology for enhancing human connection and interaction. This series invites participants to delve into the art and science of movement, understanding how our bodies communicate, connect, and create relationships in both analogue and digital spaces. The series is presented by Partnering Lab and metaLab (at) Harvard, in partnership with the Office for the Arts at Harvard (OFA) Dance Program. https://mlml.io/p/audiovisual-aesthetics-in-formation/ Mon, 01 Sep 2025 00:00:00 +0000 https://mlml.io/p/audiovisual-aesthetics-in-formation/ project How did the aesthetics of television come to define the way we perceive audiovisual media today? Audiovisual Aesthetics in Formation examines the history of crossmodal alignment, the interplay between sound and image, across Swedish and American television between 1970 and 1989. Combining computational methods such as variational autoencoders and signal analysis with historical interpretation, the project uncovers how stylistic conventions took shape within contrasting broadcasting environments and how these conventions continue to inform the rhythms of contemporary media culture. https://mlml.io/p/records/ Wed, 05 Feb 2025 00:00:00 +0000 https://mlml.io/p/records/ project The history of Olympic sport is written in records. Records tell the tale of individual athletes and national teams, of the rise and fall of ancient and modern sports, of changing approaches to athletic training and preparation. They also track the history of human achievements: firsts that are followed by new firsts in the pursuit of ever higher summits of excellence. Records are achieved by human bodies that compete both against their peers and against precedent, which is to say, against the “record book. https://mlml.io/p/prompting-flora-archives/ Wed, 01 Jan 2025 00:00:00 +0000 https://mlml.io/p/prompting-flora-archives/ project Focusing specifically on World Flora Online and Global Genome Diversity Network, the project investigates the potential of these datasets to transcend categorical boundaries and conventional visual forms. In doing so, it generates new spatial constellations for collections that echo the historical logic of cabinets of curiosities. These so-called wonder-rooms were encyclopedic collections that aimed to present the universal connection of all things—fusing history, art, nature, and science into a unified worldview. https://mlml.io/p/ai-personality-study/ Tue, 01 Oct 2024 00:00:00 +0000 https://mlml.io/p/ai-personality-study/ project A new feature advertised alongside all of the latest large language models (LLMs) are “multilingual” capabilities. OpenAI states that ChatGPT can respond in over 50 languages, while Meta and Anthropic recently expanded their models to support 7 non-English languages. Beneath these claims lies a more complex reality: LLMs are inherently shaped by the biases of their training data and the humans involved in the fine-tuning process. Recent investigations have critiqued how LLMs perpetuate stereotypes and spread misinformation, especially towards racial and cultural groups. https://mlml.io/p/arnold-arboretum/ Sun, 01 Sep 2024 00:00:00 +0000 https://mlml.io/p/arnold-arboretum/ project What stories can an arboretum tell us? As ecological concerns become increasingly urgent, botanical collections have gained recognition as vital bioinformatic resources. It has even been argued that these collections are “uniquely placed to address several challenges to conserving the world’s plant diversity” (Westwood: 2021). From studying the behavior of bees to measuring the lifespan of trees, botanical collections offer much more than just peaceful surroundings. The Arnold Arboretum at Harvard University is a prime example.