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#planning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #planning, aggregated by home.social.

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  1. theguardian.com/uk-news/2026/a. "A 'hyperscale' #datacentre in outer #London would generate more than 1m tonnes of #carbondioxide a year, equivalent to the #carbon #footprint of 27,000 #flights from London to #NewYork, #planning #documents show." Will the authorities in London allow this? Will the #Labour #Government allow this? The answer had better be "NO", or Andy #Burnham is politically dead & buried!

  2. The SA winery more than 8000 Aussies voted the best for 2027

    Monarto Safari Resort’s new Safari Lodge delivers so much more than a memorable stay; it’s packed full of unforgettable moments.   Just a year after the 78-room Monarto Safari Resort opened, the new Safari L…
    #dining #cooking #diet #food #Australianwine #Australia #foodandwine #news #planning #Wine #WinefromAustralia #WineofAustralia
    diningandcooking.com/2777076/t

  3. GeoWomen Virtual Roundtable - You Do Not Have to Carry the Map Alone [free webinar, NSGIC]
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    nsgic.memberclicks.net/geowome <-- link to (free) webinar registration [simple signup]
    --
    “Most GIS professionals have been promoted for their technical excellence and then quietly left to figure out leadership on their own. No path. No mentor. No curriculum. Just the assumption that if you were good at the work, you would eventually become good at leading the work.
    That assumption has produced a generation of GIS leaders who are brilliant, exhausted, and quietly wondering if they are the only one carrying this much alone.
    They are not. You are not.
    This 30-minute talk names three patterns that show up in every GIS leader's career — patterns nobody warned us about because the field has never formally trained its leaders. Each pattern is paired with a specific principle attendees can begin practicing the following Monday. Built from more than sixty interviews with GIS leaders across government, private sector, and consulting, this talk gives language to what many women in GIS have been carrying without a name for it — and offers a path forward that does not require waiting for a bigger title or someone else's permission.
    Attendees will leave with:
    • The three patterns that keep GIS professionals invisible in the rooms where their programs get decided.
    • The three principles that answer them — practical, specific, usable the following Monday.
    • Permission to stop carrying the map alone.
    This talk is for mid-career GIS professionals, managers, directors, and coordinators who have been promoted for their technical excellence and now find themselves navigating leadership challenges nobody prepared them for. Especially resonant for women in the field who have been quietly asking “who am I to lead?” while already leading.
    Presenter: @Izabela Miller..”
    #GIS #spatial #mapping #webinar #GeoWomen #virtualroundtable #planning #leadership #team #projects #managers #directors #coordinators #challenges #managing
    @NSGIC | @Izabela Miller

  4. WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
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    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
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    doi.org/10.1038/s41586-026-109 <-- shared paper
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    deepmind.google/science/weathe <-- shared data
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    github.com/google-deepmind/wea <-- shared GitHub repository
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    H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
    [this post should not be considered an endorsement of a particular organisation or their approach]
    “[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
    Here is how WeatherNext is transforming cyclone forecasting:
    • Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
    • Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
    • Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
    • Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
    [The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
    Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
    #Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
    @Google | @WeatherNext

  5. Mapping Snow On Northern Winter Roads - A Dual-Frequency Polarimetric Radar Approach For Snow Characterization Over Land, Lake And Sea Ice
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    doi.org/10.5194/tc-20-4367-2026 <-- shared paper
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    H/T @Monojit Saha | Geospatial Analysis | Remote Sensing | Satellite Altimetry | Cryosphere
    “Winter roads are essential transportation links for many remote northern communities, but their safety and reliability depend strongly on snow conditions and ice growth. In this study [link above], [the authors] evaluated a fully polarimetric, dual-frequency Ku- and Ka-band radar approach for retrieving snow depth across landfast sea ice, lake ice, and tundra.
    Using field measurements near Churchill, Manitoba, and Resolute Bay, Nunavut [Canada], [they] found that the approach produced snow-depth retrieval bias and error within 3 cm over landfast ice, with encouraging Ku-band performance over frozen ground as well. [They] also developed an interface-detection approach for lake ice that can retrieve both snow depth and ice thickness - a promising direction for characterizing conditions relevant to winter-road planning and safety…”
    --
    “Winter roads are lifelines for remote northern communities. Built over land, lakes, rivers, and sea ice, these travel routes are increasingly vulnerable to warming temperatures and variable precipitation. To ensure safety and adapt to these changes, operators require high-resolution monitoring of snow depth across these diverse surfaces, as natural snow accumulation dictates ice growth rates, route viability and road stability. This study extends our polarimetric radar method, previously demonstrated on pack ice, to landfast sea ice, tundra, and frozen lakes and assesses how well we can retrieve snow depth over these surfaces. Results indicate consistency with earlier sea ice analyses, maintaining a mean snow depth retrieval bias and error within 3 cm over the landfast ice. Promising performance is also found over frozen ground using Ku-band (mean biases less than 6 cm). To address the specific challenge of lake ice, which includes strong returns from the ice/water interface, we present a new interface-detection technique that simultaneously retrieves snow depth and ice thickness. While current validation focuses on undisturbed snow, this approach could provide a path forward for characterizing the cryospheric environment in a way that can directly support the optimization of winter roads…”
    #Cryosphere #RemoteSensing #Snow #SeaIce #LakeIce #WinterRoads #characterisation #ArcticResearch #EarthObservation #PolarScience #maintainence #ploughing #winter #roads #transportation #northern #communities #mines #FirstNation #canada #remotesensing #polarimetric #radar #snowdepth #ice #landfastice #iceroad #tundra #Churchill #Manitoba #ResoluteBay #Nunavut #monitoring #planning #safety #trucking #freight

  6. Be informed...
    4hunger.org/p/scorched-harvest

    "Famine after El Niño is the most foreseeable disaster in the humanitarian catalogue. Which means that every escalation from hunger to famine in 2027 will be, quite literally, a policy choice made in 2026."

    "What separates this crisis from every previous large El Niño event is that it is being forecast in public, in detail, by fourteen independent modeling systems, half a year before its peak begins. The 1877 famines arrived without warning. The 2015 response started late, and the UN has now said so. This El Niño is different."

    #oneworld #food #elnino #planning

  7. This SA wine trail feels like a walk through the French countryside

    Monarto Safari Resort’s new Safari Lodge delivers so much more than a memorable stay; it’s packed full of unforgettable moments.   Just a year after the 78-room …
    #dining #cooking #diet #food #FrenchWine #Frenchwine #MediterraneanWine #francais #france #French #frenchwine #hiking-and-biking #nature #news #planning #Wine
    diningandcooking.com/2773572/t

  8. @SuperMoosie @3goodthings @DigitalCoup @meditation @economics_that_works

    Yes. Centralised planning is a huge part of it.

    The uncomfortable question for democracies is whether we can recover long-term coordination and the ability to build at scale without giving up democratic accountability.

    I’d very much like the answer to be yes.

    #planning #democracy #build

  9. “Function reforms form, perpetually”*…

    Diagrams from How Buildings Learn. On the left, a diagram by Frank Duffy showing the increasing capital costs over the lifetime of a building. On the right, a diagram by Stewart Brand and Donald Ryan showing the Shearing Layers of Change. (source)

    Over the years I have given away many, many copies of many books in the hope that they might be of interest/use to the recipient. The book of which I’ve gifted the most copies is How Buildings Learn- What Happens After They’re Built, published in 1995 by my GBN partner and Long Now colleague Stewart Brand. While it has certainly earned its plaudits as a work of architectural criticism, I’ve handed it out because it’s the most thoughtful and evocative book on strategy I’ve come across; it’s p-o-v and principles, rooted in (often literally) concrete examples, amount to the best manifesto I’ve found for thinking and planning for the long term.

    In 1997, The BBC released a six-part series based on the book (with music by GBN and Long Now colleague and friend Brian Eno). As Open Culture reports, Stewart has created a YouTube channel to make the series available to us all…

    Stewart Brand came onto the cultural scene during the 1960s, helping to stage the Acid Tests made famous by Ken Kesey and the Merry Pranksters, and later launching the influential Whole Earth Catalog (something Steve Jobs described as “Google in paperback form, 35 years before Google came along”). He also vigorously campaigned in 1966 to have NASA release a photograph showing the entirety of Earth from space—something we take for granted now, but fired humanity’s imagination back then.

    During the 1970s and beyond, Brand founded CoEvolution Quarterly, a successor to the Whole Earth Catalog; the WELL (“Whole Earth ‘Lectronic Link”), “a prototypical, wide-ranging online community for intelligent, informed participants the world over;” and eventually The Long Now Foundation, whose work we’ve highlighted here before. When not creating new institutions, he has poured his creative energies into books and films…

    … Based on [the book, How Buildings Learn]the TV series offers a critique of modernist approaches to architecture (think Buckminster Fuller, Frank Gehry, and Le Corbusier) and instead argues for “an organic kind of building, based on four walls, which is easy to change and expand and grow as the ideal form of building.”

    Brand made the series available on his YouTube channel, with these words: “Anybody is welcome to use anything from this series in any way they like… Hack away. Do credit the BBC, who put considerable time and talent into the project.” And he added the noteworthy footnote: “this was one of the first television productions made entirely in digital—shot digital, edited digital.”…

    A wonderful series on architecture– and more broadly, on planning for the long term: “Watch Stewart Brand’s 6‑Part Series How Buildings Learn, With Music by Brian Eno,” from @openculture.bsky.social.

    Watch the series here.

    Further to yesterday’s post (and thanks to friend MK) an obituary of Don Michael, another GBN friend, and author of another book– Learning to Plan and Planning to Learn: The Social Psychology of Changing Toward Future-Responsive Societal Learning— that I’ve given away many, many times.

    * Stewart Brand, How Buildings Learn: What Happens After They’re Built

    ###

    As we take the long view, we might recall that it was on this date in 1914 that Frank Lloyd Wright’s self-designed home in Wisconsin, Taliesin, was the site of mass murder and arson. Julian Carlton, a servant of Wright, set fire to the home and brutally attacked the people there during lunch. He ultimately killed seven, including Wright’s partner, “Mamah” Borthwick.

    Wright was among the architects that Brand criticized in How Buildings Learn. Brand argued that Wright designed rigid, static “magazine architecture” that prioritized photogenic style and artistic ego over practical function, durability, and the way buildings must adapt to weather and human use over time. That said, Stewart never even thought of reaching for the matches nor a hatchet.

    The earliest known image of Taliesin I, taken in the winter of its construction in 1911-12. Southwest elevation (source) #architecture #BrianEno #culture #FrankLloydWright #history #HowBuildingsLearn #longTermThinking #planning #StewartBrand #Taliesin #trueCrime
  10. Wanted to share this with all the incoming freshmen in #Engineering school. Here's a short podcast episode and article on how to set yourself up for success in Engineering school. Learn from my mistakes! #career #planning #education

    thomasott.io/engineering-schoo

  11. This article is utter nonsense. The planning system does not prevent building.
    1) The NPPF has a presumption for sustainable development, where 'sustainable' is nothing of the sort.
    2) Sure councils can refuse planning applications but a) if they are the sponsors, why would they, and b) if they do then the planning inspectorate / Secretary of State will likely overturn the decision.
    /contd.
    {Edit: added word 'likely'}
    blogs.lse.ac.uk/politicsandpol
    #housing #UKPol #planning #Burnham