📣 The @data_foundation's DataCoalition community is proud to announce our newest member: @westat!
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📊 Westat is a leader in research, data collection and analysis, technical assistance, evaluation, and communications whose evidence-based findings help clients in government and the private sector accelerate advancements in health, education, and social policy.
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🤝 We're looking forward to working with the Westat team as we advocate for better data policies and practices in government!
🔗 To learn more about membership, visit our Data Coalition webpage: buff.ly/HNlRzEH
🔗 To learn more about membership, visit our Data Coalition webpage: buff.ly/HNlRzEH
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The Data Foundation is a finalist in three categories of the 6th Annual #AnthemAwards! Vote by tomorrow (October 29): open each category at buff.ly/U54voSV, scroll to our entry, click "celebrate," then "confirm." It's one vote per category, so please celebrate all three.
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The @data_foundation is a finalist in three categories of the 6th Annual #AnthemAwards! Vote by October 29: open each category at datafoundation.org/pages/anthem-a…, scroll to our entry, and click "celebrate." It's one vote per category, so please celebrate all three. Video shows how.
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🔎 New white paper: @data_foundation Senior Fellow Lauren Damme, Ph.D., proposes a multidisciplinary approach to AI evaluation and measurement in public policy, one that helps the public understand the impacts of AI-driven systems and programs on society. 🧵
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Damme previewed key insights from the paper in a September webinar hosted by the Data Foundation. Missed it? Watch the recording: datafoundation.org/news/past-even…
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Most execs think they understand data standards.
Most can't actually describe what a good one looks like.
Here's the difference — and why regulators are now smart enough to tell which firms are faking it 🧵
Most can't actually describe what a good one looks like.
Here's the difference — and why regulators are now smart enough to tell which firms are faking it 🧵
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This isn't only a compliance story either.
Bad reference data = bad training data = Gen AI models that hallucinate.
Standards aren't bureaucracy. They're the foundation both regulators AND your AI systems are relying on.
Bad reference data = bad training data = Gen AI models that hallucinate.
Standards aren't bureaucracy. They're the foundation both regulators AND your AI systems are relying on.
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Full breakdown from Data Foundation's Tom Dunlap 👇
buff.ly/xE8lvNi
buff.ly/xE8lvNi
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🚨 Speaker announcement: govDATAx 2026 is bringing together the leaders shaping the future of public data. Confirmed so far:
🔹 Ken Dieffenbach, @COVID_Oversight
🔹 Deidre Harrison, @McKinsey
🔹 Renata Miskell, @USTreasury
🔹 Matt Graviss, Ph.D., @Atlassian
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🔹 Ken Dieffenbach, @COVID_Oversight
🔹 Deidre Harrison, @McKinsey
🔹 Renata Miskell, @USTreasury
🔹 Matt Graviss, Ph.D., @Atlassian
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🎟️ Register now to network with federal decision-makers and secure your seat for govDATAx 2026: buff.ly/y2pjfFk 3/4
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🌟 Tickets are free for Data Coalition members! Please refer to Data Coalition emails (including our weekly newsletter) for the registration code. If you are not subscribed to Data Coalition emails, please create an account in our member portal: buff.ly/9Dovbf1 4/4
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