Richard Hendra

A great opportunity to upgrade your analytical skills. Coleridge has the best analytics training out there as far as I’ve seen.

COMMENTARY | For governments, AI success depends on understanding residents’ needs and on the thoughtful handling of their data. Via @hendr239 / @MDRC_News buff.ly/3KPP4BL

@mdrc @MDRC_News @hendr239 Rick: "There is no quick way to get to data capacity...you need to learn by doing" #datalive

@mdrc @MDRC_News @hendr239 Rick: Our experience with the TANF data collaborative is very positive. "These barriers can be overcome"

@mdrc Rick: Our basic formula is not rocket science:

Rick Hendra from @MDRC: #EvidenceAct is key part of changing landscape for data capacity today #datalive

Experts said child care was going off a cliff, reports Ann Schimke @ChalkbeatCO. Colorado officials say not exactly. co.chalkbeat.org/2023/11/3/2394…

Everyone's talking about the AI executive order. I'm not sure everyone realizes there are EXPLICIT portions related to public benefits! For example, re: SNAP — look at all these specifics that the Sec of Ag will put out IN 180 days!

The #TANF Data Collaborative: An Innovative Approach to Increasing #DataAnalytics Capacity. Learn more 🔗acf.hhs.gov/opre/project/t… TDI/TDC Project Funder: @OPRE_ACF @OFA_ACF. Partners: @CDI_MDRC @Chapin_Hall @Coleridge4Data & @AISP_Penn

New podcast!!! Alissa Stover and Ahmed Whitt discuss our Center’s partnership with @ceoworks on the importance of capturing participant voices that represent a fuller spectrum of program experiences.

Impact analysis does not need to be a multiyear affair. In Lean Impact, @annmei shows how the social sector can adopt methods that have propelled rapid innovation in the private sector. annmei.com/book

Top functions used in our PUMP #rstats package, which calculates power for RCTs, built with @LMiratrix @keporter_ca @ZarniHtet13 and @CDI_MDRC. Thanks @nrennie35 for the fun tutorial! Find PUMP on CRAN and github github.com/MDRCNY/PUMP.

@socio_steve @TheOmniZaddy Great point —yes. It definitely affects the composition of the sample seeking treatment. An implication,therefore, is that programs should recalibrate based on economic conditions and not operate on auto pilot.

@socio_steve @TheOmniZaddy Sorry for the late reply. I have not kept up with this literature but my general sense is that these programs (e.g training and placement programs) tend to have larger impacts in weak economies due to weaker counterfactuals.

Does anyone have any research on how low unemployment/“Full Employment” has been helping ex-felons/convicted criminals etc. get jobs that they would have previously been discriminated from?

@MDRC_News Brit Henderson and Edith Yang presenting at #2022APPAM Saturday on @CDI_MDRC's Ethical Framework for Data Science

@hendr239 is starting the @NDEMExpo off with a presentation on Machine Learning and Disaster Management. He is discussing how emergency managers can prepare for and respond to disasters. #AI

As climate related disasters increase in frequency and severity, excited to speak at NDEM this morning about how machine learning can help emergency managers prepare for and respond to disasters

Not the technology or advanced methods but rather…

It’s not about the systems —it’s about collaboration and setting up teams for success.

For those interested in increasing success rates for data initiatives I recommend this book by ⁦@AJAlgmin⁩ Very insightful and a good audiobook! So much of it resonated and I like the ‘can do’ energy. algmin.com/book/