This brief describes how Child Care and Development Fund (CCDF) Lead Agencies can use cost data when setting payment rates. It covers two main topics: analyzing gaps between costs and payment rates and exploring strategies to close gaps.
Oct 16, 2023
Pia Caronongan, Katie Gonzalez, Lynn A. Karoly, Julia Isaacs, Peter Willenborg
RAND researchers are conducting a multiyear evaluation of the VBID Model test using a mixed-methods approach that involves surveys, interviews, and quantitative analyses of the relationship between VBID implementation and a variety of outcomes.
Oct 13, 2023
Christine Eibner, Dmitry Khodyakov, Erin Audrey Taylor, Denis Agniel, Rebecca Anhang Price, Julia Bandini, Marika Booth, Lane F. Burgette, Christine Buttorff, Catherine C. Cohen, Stephanie Dellva, Michael Dworsky, Natalie C. Ernecoff, Priya Gandhi, Alice Y. Kim, Julie Lai, Monique Martineau, Nabeel Qureshi, Jessica Randazzo, Afshin Rastegar, Lucy B. Schulson, Daniel Schwam, Joan M. Teno, Anagha Alka Tolpadi, Asa Wilks, Shiyuan Zhang
This study collected quantitative and qualitative survey data on how youth mental health system decision-makers viewed financing strategies that support implementation and sustainment of evidence-based treatments.
Oct 13, 2023
Maddison North, Alex R. Dopp, Jane Frances Silovsky, Marylou Gilbert, Jeanne S. Ringel
This report provides estimates of the number of U.S. military veterans who experience financial burden from housing costs. It also offers context for how these estimates have changed over the course of the past 15 years.
Oct 12, 2023
Daniel Schwam, Jason M. Ward, Stephanie Brooks Holliday, Sarah B. Hunter
The authors examine influence campaigns employed by Ukraine and Russia since February 2022 — both those targeting each state's own people and military personnel and those targeting the adversary — to understand whether the campaigns have been persuasive.
As use of artificial intelligence algorithms in decisionmaking spreads, public perceptions will have many implications — including for jury judgments and support for regulation. This report describes a survey experiment that explored such perceptions.
Oct 12, 2023
Elina Treyger, Jirka Taylor, Daniel Kim, Maynard A. Holliday
The authors examine how artificial intelligence has shifted on occupational exposure in the United States, whether new technology reduces the need for human labor, and college degrees and routine cognitive tasks as indicators of exposure.
The authors evaluate occupational exposure to U.S. technology patents and specific artificial intelligence technologies, such as machine learning, natural language processing, speech recognition, planning control, and evolutionary computation.
We propose equity weighting, a new measurement framework to advance equity on multiple fronts that addresses the shortcomings of existing approaches and explicitly calibrates incentives to align with equity goals.
Oct 9, 2023
Denis Agniel, Irineo Cabreros, Cheryl L. Damberg, Marc N. Elliott, Rhianna C. Rogers
This report presents the evaluation framework and outlines the planned approach for the analytical frames and core evaluation data collection, including process and quasi-experimental impact evaluations and an economic feasibility assessment.
Oct 6, 2023
Sana Zakaria, Immaculate Dadiso Motsi-Omoijiade, Chryssa Politi, Merrilyn Groom, Joe Francombe
This policy brief uses LinkedIn data to track the movement of tech workers between industries and metro areas, with a particular focus on the U.S. Department of Defense, the defense industrial base, and the so-called “Big Tech” companies.
Authors lay out a research agenda for the American Mathematics Educator Study by synthesizing what they know from mathematics education research regarding key factors that shape equitable, high-quality mathematics teaching and learning.
Oct 5, 2023
Julia H. Kaufman, Elizabeth D. Steiner, Ashley Woo