Lucidminds
@LucidmindsAI
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With complex system design & analytics, we translate discourse to practice. Building 🌳 https://t.co/YzWOaZoL2R 🌳 - Discord: https://t.co/YZoONBwyKl
Amsterdam, Netherlands
Joined October 2020
We are happy and excited to announce that the Green Urban Scenarios (GUS) Framework of @Trees_AI is now open-source! https://t.co/exMPIZOOgv What is GUS and what is it for? Thread.
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Tempelhofer Feld, Berlin: The GUS simulation below captures the complexity of forest growth. Then translates these into clear metrics for carbon sequestration, cooling effects, water retention, and biodiversity impact. *every "what if" deserves a scientific "here's how."
Berlin's Tempelhofer Feld: 355 hectares of possibility locked behind controversies. draw a polygon, generate Tree agents, run simulations. the video below shows 10k Trees' multi-benefits potential over 50 yrs in the Feld. on https://t.co/jUu5nTxkbO cc @LucidmindsAI @Trees_AI
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What if we could transform Berlin's contested Tempelhofer Feld into a thriving forest? Watch how GUS simulates decades of tree growth in minutes, revealing the full story of carbon, cooling, water, air quality & biodiversity impacts. Nature meets science. 🌳🧪 Video in 🧵
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We're excited to share the latest results of our collaboration with @IBMResearch , SFTC, @Trees_AI and @UKRI_News. GUS is helping Glasgow tackle flood risks through smart urban forestry. Check out the post below for Nature-based solutions in action!
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The simulation of trees over 50 years, revealing health trends, carbon sequestration, and storage progress in different scenarios on https://t.co/jUu5nTwMmg - you can now run hypothetical and real scenarios. @LucidmindsAI @Trees_AI
We're also excited about TreesAI Stuttgart’s ability to quantify the benefits trees provide. Adapting the GUS platform, this AI-driven tool supports varied forestation projects with scientific precision. Learn more: https://t.co/PAcbBEZVNY cc: @LucidmindsAI
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Thrilled to spotlight https://t.co/pNNRTE0IBY (GUS) in action in Stuttgart! 🌳 we're harnessing AI to assess climate risks & enhance urban green spaces, showcasing how nature-based solutions can be strategically implemented to combat climate challenges.
gus.earth
The Infrastructure for Climate Action.
We're also excited about TreesAI Stuttgart’s ability to quantify the benefits trees provide. Adapting the GUS platform, this AI-driven tool supports varied forestation projects with scientific precision. Learn more: https://t.co/PAcbBEZVNY cc: @LucidmindsAI
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Tomorrow at @DataWeekLeipzig we'll introduce our novel Green Urban Scenarios (GUS) Framework of @Trees_AI Together with Sebastian Klemm we will be speaking about how TreesAI/GUS can assist cities worldwide in their journey towards achieving climate neutrality.
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Es geht weiter mit einer Session rund um den Weg zu einer CO2-neutralen Stadt, moderiert von Julia Schließauf @StadtLeipzig und Oguzhan Yayla @LucidmindsAI, Sebastian Klemm @DarkMatter_Labs, Andrea Hensel @StadtLeipzig, Falk Wittmann und Dr. Tilman Hartwig @Umweltbundesamt.
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Today PhDs, supervisors and non academic partners will be working shoulder to shoulder on #datacommons #prototeams 💪💪💪 @Dcode_EU @OpenFutureEU @acrcedincare @AMS_institute @LucidmindsAI @ClearboxAI
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The Proof of Circularity is an important novel mechanism that we are introducing in this paper. The mechanism is intended to create a set of incentives as well as increase transparency in verification of recycling efficiency.
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We introduce "Proof of Circularity", a novel mechanism aimed at increasing incentives and transparency. We pay special attention to individuals as change makers, and aim to create channels for them to actively shape the garment design as well as manufacturing choices.
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LM presents a decentralized economy model and platform that aims to incentivize circularity and sustainability of local businesses. Bringing all stakeholders and especially consumers together to create a collective impact.
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There is a need for a transformational change pioneered by fashion designers and supported by consumers. Recent studies around a Climate Positive action foresee that a goal of 35-45% reduced CO2 emissions from textile fiber and material production by 2030 is possible.
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In this first post, Seowoo Nam (@nam_seowoo) introduces why we started this project by discussing the importance of taking more-than-human values and perspectives in designing technologies for governing forests.@Trees_AI
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By giving voices to flora and fauna inhabiting the forests through simulation, Green Urban Scenarios will help generate futures where plural modes of urban forest can coexist: forests as infrastructure, habitat, food source, shelter, and many more.
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We believe that healthy forests should be able to regenerate, regulate and govern their own dynamics.
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Our new blog series introduces a sidekick project in collaboration with designers, ecologists, and data scientists: expanding Green Urban Scenarios by taking a more-than-human approach.
lucidmindsai.medium.com
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How can we design urban forests as infrastructure for the planet, not only for us, humans? How do we know our interventions are good for all?
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