On the Evidence MATHEMATICA

Within the past few years, organizations that help improve public well-being by providing data-driven insights have witnessed significant changes. From a digital transformation hastened by big data and artificial intelligence (AI) to the globalization of evidence-based solutions for problems that transcend borders, changes in technology, society, and culture are challenging leaders to rethink how their organizations operate. On the latest episode of Mathematica’s On the Evidence podcast, NORC at the University of Chicago President and Chief Executive Officer Dan Gaylin joined Mathematica President and Chief Executive Officer Paul Decker for a wide-ranging discussion about leadership, AI, globalization, the COVID-19 pandemic, and advocating for the use of high-quality evidence without straying into activism.

Find a full transcript at mathematica.org/blogs/norc-and-mathematica-ceos-on-the-future-of-data-and-evidence

Read an article by Dan Gaylin on LinkedIn where he explains his philosophy around the importance of sharing research findings: https://www.linkedin.com/pulse/from-silence-significance-case-sharing-your-research-dan-gaylin-d1cve/?trackingId=Mm6Fa4kN4WbH29J%2FQArQrg%3D%3D

Learn more about NORC’s AmeriSpeak Panel: https://amerispeak.norc.org/

Learn more about NORC’s 2020 Election Research Project for Facebook: https://www.norc.org/research/projects/2020-election-research-project.html

Learn more about NORC’s Advanced Data Solutions Center: https://www.norc.org/about/departments/advanced-data-solutions-center.html

Watch Decker’s interview with Mark Zandi, chief economist at Moody’s Analytics, which includes a discussion about the declining response rates in federal surveys and what they might mean for informing policy decisions: https://www.mathematica.org/blogs/mark-zandi-chief-economist-of-moodys-analytics-on-data-driven-decisions-in-public-policy

Watch Decker’s interview with Max Stier, the president and CEO of the Partnership for Public Service: https://www.mathematica.org/blogs/the-partnership-for-public-services-max-stier-on-using-data-to-improve-the-government

This episode of Mathematica’s On the Evidence podcast features a discussion about how various parties within the health care ecosystem can responsibly use artificial intelligence (AI) to improve patient health. The conversation comes amid increasing interest in the applications of AI in daily life and one month after Mathematica announced the launch of its Health Data Innovation Lab, a digital operational hub for government agencies, foundations, medical centers, and other health organizations to collaborate with data scientists and health policy experts.

The episode draws from a recent webinar moderated by Noland Joiner, the chief technology officer of health care at Mathematica, with Ngan MacDonald and Ellie Graeden as guests. MacDonald is the director of health data innovations at Mathematica and Graeden is a partner and chief data scientist at Luminos.Law. She is also an adjunct research professor at Georgetown University.

A transcript of the episode is available here: https://www.mathematica.org/blogs/improving-health-through-responsible-ai

Learn more about Mathematica’s Health Data Innovation Lab: https://www.mathematica.org/sites/health-data-innovation-lab

The latest episode of Mathematica’s On the Evidence podcast features Max Stier, the president and chief executive officer of the Partnership for Public Service. Stier discusses the central role that data and research play in supporting his organization’s mission to make the federal government more effective. The episode comes during Public Service Recognition Week (May 5–11), which is also when the partnership announces finalists for its Service to America Medals. These annual awards celebrate extraordinary leadership by career federal employees.

For the episode, Stier sits down with Mathematica President and Chief Executive Officer Paul Decker to talk about using data to improve government, enhancing data literacy among federal workers, measuring and rebuilding trust in government, the power of employee recognition, and more.

A full transcript of the episode is available at mathematica.org/blogs/the-partnership-for-public-services-max-stier-on-using-data-to-improve-the-government

See the list of 2024 finalists for the Samuel J. Heyman Service to America Medals: https://servicetoamericamedals.org/honorees/?_year=2024

Learn more about the Partnership’s Service to America Medals program: https://ourpublicservice.org/our-solutions/recognition/service-to-america-medals/

Learn more about the Partnership’s Best Places to Work in the Federal Government rankings: https://ourpublicservice.org/performance-measures/best-places-to-work-in-the-federal-government/

Explore data from the Partnership on Americans’ level of trust in the federal government: https://ourpublicservice.org/our-solutions/rebuilding-trust-in-government/dashboard/

In March, when the Biden administration released its budget request for fiscal year 2025, it not only offered a blueprint for the president’s policymaking agenda—it also provided the latest indication of how the White House and federal agencies are going beyond evidence generation to use evidence as a guide in making program investments that can improve Americans’ lives. For this episode of Mathematica’s On the Evidence podcast, Nichole Dunn, the vice president of federal policy at Results for America, joins the show to discuss evidence-based policy in the president’s budget as well as larger trends in federal and state funding of evidence-based initiatives and programs.

On the episode, Dunn speaks with Mike Burns, senior director of communications and public affairs at Mathematica, about American Rescue Plan spending, the growth of evidence clearinghouses, the increasing level of federal investment in program evaluation, the implications of the presidential election for federal investment in evidence-based policy, the implementation of the Foundations for Evidence-Based Policymaking Act, the recent formation of the bipartisan Congressional What Works Caucus, the Congressional Evidence-Based Policymaking Resolution, and the potential for evidence-based policy to bypass partisan gridlock in Washington.

A full transcript of the conversation is available at mathematica.org/blogs/evidence-based-policy-in-president-bidens-2025-budget

Read an op-ed by Michele Jolin, the chief executive officer and co-founder of Results for America, about how bipartisan elected leaders and career civil servants across the country who have been quietly transforming how governments invest taxpayer dollars to achieve better results: https://www.minnpost.com/community-voices/2024/03/from-minnesota-to-washington-d-c-a-better-way-to-deliver-results/

Read the research brief by Mathematica for Results for America, which shows how city governments with a history of prioritizing data-driven practices were more likely to use federal relief funds from the American Rescue Plan (ARP) to deepen their commitment to results-driven governance—with the goal of improving outcomes for residents through effective programs: https://mathematica.org/publications/unlocking-the-power-of-city-data

Watch a recording from the January 2024 virtual event hosted by Results for America to discuss the federal government’s progress in using evidence and data to get better results, which featured the release of a new report by Harvard University Professor Christina Ciocca Eller on federal evidence-based policymaking efforts: https://www.youtube.com/watch?v=rMYwG6P-1zI

Read the 2023 Invest in What Works State Standard of Excellence from Results for America, which showcases 194 efforts across 46 states to build and use evidence and data to improve residents’ lives: https://results4america.org/tools/2023-invest-in-what-works-state-standard-of-excellence/

Explore the ARP Data and Evidence Dashboard from Mathematica and Results for America, which highlights how state and local government leaders are investing one-time federal pandemic relief and economic recovery funds and using data and evidence to get better results: https://results4america.org/tools/arp-dashboard/

The latest episode of On the Evidence features Mark Zandi, the chief economist at Moody’s Analytics. On the episode, Zandi speaks with Paul Decker, Mathematica’s president and chief executive officer, about comprehensive immigration reform, artificial intelligence, labor shortages, remote work, the merits of pursuing a nonacademic career in economic research, and how Zandi seeks to influence politically charged policy debates with data and credibility. Zandi is the author of two books related to the Great Recession and hosts the Inside Economics podcast.

A video version of the episode as well as a full transcript is available at https://mathematica.org/blogs/mark-zandi-chief-economist-of-moodys-analytics-on-data-driven-decisions-in-public-policy

Listen to the Inside Economics podcast that Zandi hosts along with Cris deRitis and Marisa DiNatale for Moody’s Analytics: https://www.moodys.com/web/en/us/about/insights/podcasts/moodys-talks-inside-economics.html

Read Paul Decker’s blog about how Mathematica used evidence to guide the company’s approach to reopening in-person offices after the COVID-19 pandemic: https://www.mathematica.org/blogs/letting-evidence-guide-decisions-about-reopening-offices

Read an op-ed co-authored by Paul Decker for the website RealClearPolicy, which proposes comprehensive immigration reform and other solutions to address current labor shortages: https://www.realclearpolicy.com/articles/2023/04/25/without_immigration_reform_americas_labor_shortage_is_here_to_stay_895672.html

The latest episode of On the Evidence features an interview with Mathematica’s Ngan MacDonald about the applications of artificial intelligence (AI) for improving health care through data analytics. MacDonald recently joined Mathematica as the company’s director of health data innovations, where she leads a team of data scientists that help public and private health organizations use their data to deliver meaningful and effective insights. In addition to her role at Mathematica, MacDonald is also the chief of data operations for the Institute for Artificial Intelligence in Medicine at Northwestern University.

On the episode, MacDonald discusses the potential benefits of AI in health care, the equity implications of training AI on incomplete health care data, and what AI could mean for Mathematica’s work in data analytics.

A full transcript of the interview is available at https://mathematica.org/blogs/improving-health-equity-through-ai-and-data-innovation