Data@Work
Claim This Podcastby Results for America
Podcast Authority
Beta
Podcast Overview
<p>A podcast for workforce development practitioners. Each episode we explore a different way that governments are using data-driven strategies to revolutionize their workforce programs and services. Presented by Results for America.</p>
Language
🇺🇲
Publishing Since
8/16/2023
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
Podcast Authority
BetaRecommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
1 verified contact email on file for Data@Work
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 3, 2025
Applying Evidence in the Real World with Dr. Elizabeth Linos
In this episode of Data@Work, we sit down with Dr. Elizabeth Linos, the Emma Bloomberg Associate Professor for Public Policy and Management at the Harvard Kennedy School and Faculty Director of the People Lab. We dig into her research on reducing burnout and turnover in the public sector—and the surprisingly simple, low-cost intervention that's making a big difference for frontline workers. We also explore what it really takes to get evidence-based practices adopted and scaled in government. ...
April 29, 2024
Can AI Make Workforce Services More Human?
<p>In this episode of Data@Work, our guest Amanda Cage, President and CEO of the National Fund for Workforce Solutions explores the potential impacts of AI on the U.S. job market. Andrea and Amanda discuss AI's dual potential to perpetuate existing inequalities or to make jobs more accessible to everyone, particularly through improved career navigation systems. Should more government workforce agencies adopt AI, ensuring all workers can access quality jobs is imperative.</p><p><a href='https://results-for-america.read.axioshq.com/signup/work-lab-update'><b>Subscribe to Our Newsletter</b></a></p>
March 24, 2024
Artificial Intelligence for America's Workforce
<p>Will artificial antelligence take away everyone’s jobs? This week we begin a mini-series to dispel myths and legends around what AI is and how it could benefit (and in some cases hinder) America’s workforce. Our first guest, Mary Olson is an Industry Executive Director at Oracle who taught us the basics of how workforce and education agencies might use AI as a tool to make government services more human-centered and equitable.</p><p>The good news? Mary says AI won’t take away everyone’s jobs—but it will change them. The bad news? AI isn’t going to solve all of our problems, and it will mainly support workers in accomplishing their work.<br/><b><br/></b><a href='https://results-for-america.read.axioshq.com/signup/work-lab-update'><b>Subscribe to Our Newsletter</b></a><b><br/></b><br/></p><p><b>Trainings and Resources Courtesy of Mary </b></p><ul><li><a href='https://education.oracle.com/'><b>Oracle University</b></a></li><li><a href='https://academy.oracle.com/en/membership-join-oracle-academy.html'><b>Oracle Academy</b></a></li><li><a href='https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/livelabs-workshop-cards?c=y&p100_focus_area=212:220'><b>Oracle Live Labs</b></a><b> (AI and Machine Learning Hands-on Workshops)</b></li><li><a href='https://www.oracle.com/artificial-intelligence/'><b>Oracle Cloud AI Services</b></a></li><li><a href='https://www.oracle.com/artificial-intelligence/generative-ai/'><b>Oracle Cloud Generative AI Capabilities</b></a><b>. </b></li><li><a href='https://www.deeplearning.ai/short-courses/'><b>DeepLearning Short Courses</b></a><b> </b></li><li><a href='https://www.coursera.org/learn/introduction-to-ai'><b>Introduction to Artificial Intelligence</b></a><b> (Coursera)</b></li></ul>
10 total episodes available
Deep-dive analytics for Data@Work
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Data@Work?
<p>A podcast for workforce development practitioners. Each episode we explore a different way that governments are using data-driven strategies to revolutionize their workforce programs and services. Presented by Results for America.</p> - How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.