NEW CDC PLACES Data Now Live!

August 29, 2024

NEW PLACES Data Now Live!

The Centers for Disease Control and Prevention’s Division of Population Health in the National Center for Chronic Disease Prevention and Health Promotion is excited to announce the newest release of PLACES (available at www.cdc.gov/places). PLACES provides hyper-local, model-based estimates for the entire U.S. population for 49 chronic disease and other health-related measures at four levels of geography: U.S. counties, incorporated and census-designated places, census tracts, and ZIP Code Tabulation Areas.  The latest PLACES model-based estimates are generated from the 2022 Behavioral Risk Factor Surveillance System (BRFSS), U.S. Census 2020 Population Count, and the American Community Survey 2018-2022. Seven New PLACES Measures This year’s release includes seven new health-related social needs measures for 39 states and the District of Columbia. These include the prevalence of:  Social isolation Supplemental Nutrition Assistance Program benefits (or SNAP, formerly food stamps) Food insecurity Housing insecurity Threat of utility shut-off Transportation barriers, and Lack of social and emotional support. Additional updates for this PLACES release include: Two measures were discontinued because of program recommendations—chronic kidney disease and preventive services for older adults. U.S. Preventive Services Task Force recommendations for colorectal cancer screening were updated for adults aged 50–75 to 45–75 years. The measure for cervical cancer screening could not be updated. Measure names and definitions were adjusted for asthma, cancer, smoking, sleep, taking high blood pressure medication, routine checkup, dental visit, mental health, and physical health. See current release notes and measure definitions for more information. All measure definitions were updated based on Chronic Disease Indicators (CDI) indicator definitions. We want to hear from you! Thank you for your support of PLACES as a tool for effective and efficient public health action. We look forward to hearing how you use these data to promote health, prevent disease, and promote equity in our nation’s largest cities to smaller cities and rural areas—and everywhere in between. Please share your stories with us by sending an email to PLACES@cdc.gov. You can also direct any questions to that mailbox address. Click Here to Email Us!

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But why AI? ❓

View this email in your browser Hi concerns2me, Did you see our most recent blog post on AI?  If not, here's the abridged version: Creative Commons is thinking about AI a lot. We've hosted intimate roundtables, organized workshops at conferences, and run public events, digging into this challenging topic.  Last year, we started exploring the possibilities of preference signals as a means for individuals to indicate the terms (attribution, non-commercial, research purposes etc.) by which their work can or cannot be used for AI training. We're getting feedback on this from our community and will keep you in the loop as this work develops. AI is impacting how we think about open sharing, and rewriting the rules of life online. We need to fight for the public interest, and we welcome your input as we do this work. We also need financial support. Even a small donation of $20 has a significant impact. Would you consider a tax-deductible gift to CC? Thank You! Anna Donate to Creative Commons This email is licensed under CC BY 4.0. Want to change how you receive these emails? You can update your preferences or unsubscribe from this list.

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What about AI? 🦾

View this email in your browser Hi concerns2me, Just in case you missed it: we're refreshing how we do things here at Creative Commons. The world has changed a lot since we launched our 2021-2025 Strategy, and it's time to reset. We've been gathering feedback from the community (you!) on our new strategy. You've raised a lot of important questions, including: "what about Artificial Intelligence (AI)?"  Creative Commons is thinking about AI a lot. We've hosted intimate roundtables, organized workshops at conferences, and run public events, digging into this challenging topic. Last year, we started exploring the possibilities of preference signals as a means for individuals to indicate the terms (attribution, non-commercial, research purposes etc.) by which their work can or cannot be used for AI training. A tool like this would function much like the CC licenses do! We invite you to learn more here. Our CEO, Anna, has been exploring this topic out loud on our blog.  Thank You! CC Team  Donate to Creative Commons This email is licensed under CC BY 4.0. Want to change how you receive these emails? You can update your preferences or unsubscribe from this list.

This email was sent to concerns2me.easypost@blogger.com why did I get this?    unsubscribe from this list    update subscription preferences Creative Commons · 211 Hope St # 1866 · Mountain View, CA 94042-8817 · USA