For @scientistsorg I wrote about why, just as we have a national unemployment rate, if America wants to get serious about stemming our #housing crisis then we need a National Housing Loss Rate. Read here: https://t.co/UyyAknnlS2
@CraigJRich1962 and I wrote in @nytimes about a piece piece of the housing crisis. 1 in 5 US homes costs less than $150k. But its not profitable for banks to write small mortgages. So these🏠get bought for cash by investors & converted to rentals. https://t.co/0ttT4HtV6Y
Goosebumps, watching @AOC and @TinaSmithMN discuss their new #HOME Act that squarely positions housing as a #humanright and provides real action on making housing affordable for all.
https://t.co/ro4CQlIc9V
For Main Street 🇺🇸, housing is where #climate impacts will be felt first and worst. Its no accident that at yesterday's debate @KamalaHarris tied climate to rising 🏠insurance rates and people losing homes after disaster. Here's our blog on the link: https://t.co/Opa3gH8SN8
Its no accident that when asked about #climatechange, the two examples @KamalaHarris gave were: 1. ⬆️ home insurance prices, 2. ppl losing their 🏠 after disasters. Because for mainstream America our home is where we will feel the first and worst climate impacts.
Caliber of conversation at #futuresecurityforum was just mind blowing. One of those days I feel starstruck working at @NewAmerica . Photo here of @SlaughterAM and @peterbergencnn on what a #Harris foreign policy might look like. One of many great panels. watch the livestream ⬇️
Today is the day! @ASU & @NewAmerica’s 2024 #FutureSecurityForum, in collaboration w/ @SecDefencePLuS is underway.
Join us online as top policymakers, government and military leaders, experts, & analysts discuss the next ten years of global security.
🔗 https://t.co/dx3zkRuCbE
iven the vast disparities in #AI power between the rich world & developing countries, closing the AI governance divide will be no easy task. Read @GordonLaForge's piece in @techpolicypress to learn more: https://t.co/OQcfeumUL1
In FL today and an Orlando homeless services provider told me this: 75% of inflow are first-time homeless. Most are senior citizens. Most are coming not bc evictions but bc lease non-renewals/raised rent. Orlando tried to pass cap on rent ⤴️but FL legislature preempted it.
Domestic #climatemigration is already underway. But millions of Americans are moving to cities that are exposed to higher risk of extreme heat, flooding and hurricanes. We need a plan to turn them around, now. @t_robo17 and I outline how, for @CityLab.
https://t.co/w9t3xJHNaR
SCOTUS overrules its 1984 decision in #Chevron v. Natural Resources Defense Council, which held that courts should defer to an agency’s reasonable interpretation of an ambiguous statute. Welcome to silly season ...
@SCOTUSblog
15. Invest in sustainability! That means budget & staff for data updates (monthly or quarterly is best), adjustments in response to policy changes and user needs & maybe eventual migration to the court or municipality. Play the long game when building data infrastructure.
13. Put your insights front & center! Developing a dash Is 95% of the work, but the utility is in the last 5%: converting analysis into insights (When do evictions peak? Which neighborhood has the highest rates? Etc). Do this work for your users, put it where they can see it.
14. Invest in communicating insights. Just because a dashboard is released does not mean it’ll be used. The splashy release is just the start. Dashboards must be continuously socialized. Plan for a comprehensive outreach plan, and rinse & repeat each time you have a data update.
12. Simple Is Best. A busy dashboard won’t get used. ID the top 3-4 things your stakeholders care about, and build a dashboard that visualizes just those things well. If you have other analyses available, include an option to view them, but don’t make them the centerpiece.
10. Even “Clean” Data Will Require Significant Effort to Prepare for Analysis. Just know this. Build it into your timeline. Expect to have to go back to the courts several times to clarify data structure, tags, definitions, etc.
11. Don't analyze your data without a housing expert. Seemingly small differences can be very meaningful. E.g. Foreclosures involve multiple court filings over a many month period. How do you know at which point a foreclosure has “happened”? A local housing expert can tell you.