Working on climate, migration, governance & green transition at CGDev. Any views mine.
Sam Huckstep
Loading...
How do immigration bureaucracies demonstrate accountability beyond formal political oversight? @A.Ellermann and @M.Paquet show how immigration departments direct accountability to different audiences, shaped by institutional design and politicization.
doi.org/10.1093/migr...
Fascinating to see planned relocation the subject of an FT Editorial Board article!
'With national funds already stretched, the authorities will need to make difficult but necessary trade-offs. That begins by prioritising what assets need to be protected.'
Another cool piece today on VoxDev- harmonisation of pre-2013 night-lights data with post-2013 data to allow longer-term analysis.
And the data (and replication code) is open source.
Cool new research from @mclem.org, Nice, & Rigol!
Authorising work for asylum seekers is politically contested, often due to perceived 'magnet' effects + fears for local labour markets.
New evidence from the US finds work authorisation boosts local wages + GDP, and *doesn't* have a magnet effect.
I hadn’t fully realised this: it is the usury of the Foreign Office that is forcing the gutting of the British Council, an agency central to UK soft power efforts? Bizarre.
Glad the repayment period is being lengthened- but still bizarre.
www.theguardian.com/politics/202...
'Not everyone can be bailed out, and even the wealthiest states cannot indefinitely defend every shore.
In some places, managed retreat — focusing on adaptation and relocation — will be the most realistic outcome.'
'Here we present a new dataset of annual origin-destination migration across 230 countries and regions from 1990 to the present [2023], integrating diverse data sources into a unified modelling framework...
A paradigm shift for the computational toolset hitherto used to model global migration.'
This is really neat! Just generally fascinating work.
'Very high-resolution imagery is expensive and not always available...
We detect markets by stacking many images from the same location over time and identifying places where the appearance changes *regularly* on specific weekdays'.