Ben Matthews

  • New here on lemmy, will add more info later …
  • Also on mdon: @[email protected]
  • Try my interactive climate / futures model: SWIM
  • 0 Posts
  • 37 Comments
Joined 1 year ago
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Cake day: September 15th, 2023

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  • I use vscode as I develop this model in Scala3, whose language-server ‘metals’ integrates well with vscode, and when scala3 was new in mid-21 this was the platform they first targeted. But the scala command-line tools do the clever analysis, vscode provides the layout, colours, git integration, search/regex, web-preview etc… Now considering other options (eg zed) as vscode too dependent on potentially unsafe extensions (of which too much choice), also don’t want M$ scraping my code. Long ago when same model was in java I used netbeans, then eclipse. Would prefer a pure-scala toolset.







  • Well such timescale would in any case depend on EU, not on convenience for any british parliament. There are now N. Macedonia, Albania, Montenegro, [ Bosnia, Serbia, Kosovo ?], Ukraine, Moldova, Georgia, [Turkey ?] all in the queue to join EU. On the other hand, it might help from point of view of geographic and economic balance, otherwise the centre of ‘gravity’ will shift even further SE away from Brussels. I think to expand EU has to reform processes, to end all vetos and generalise multi-speed / opt-outs.
    Meanwhile a new british government could implement obviously convenient win-win cooperation step by step, until there isn’t so much left to change. And I’d be happy to see Scotland and Northern Ireland take a lead.



  • Ben Matthews@sopuli.xyztoEurope@feddit.deParty summaries
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    3 months ago

    I’d like to be able to vote for pan-european parties, but voting for Volt only works in very large constituencies (such as Germany). In most other places it likely reduces the chance of getting pro-european MEPs who might consider implementing such an option. What other strategies can help ?




  • Hi, excuse me for replying so late, but i’ve been away from lemmy for.a while. Well, to summarise, the model calculates the future trajectories, of population, economy, emissions, atmospheric gases, and climate response etc., according to a set of (hundreds of) diverse options and uncertainties which you can adjust - the key feature is that the change shows rapidly enough to let you follow cause -> effect, to understand how the system responds in a quasi-mechanical way.
    Indeed you are right, complexity is beautiful, but hard. A challenge with such tools is to adjust gradually from simple to complex. Although SWIM has four complexity levels, they are no longer systematically implemented - also what seems simple or complex varies depending where each person is coming from, so i think to adapt the complexity filter into a topic-focus filter. Much todo …