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Opioid Data Initiative

/analyses/2018/12/opioid-data-initiative

Opioid use disorder is a major public health and public safety crisis in communities across the U.S. Many local jurisdictions have begun using data to more effectively and efficiently target resources and expertise, while also forming multidisciplinary partnerships to improve coordination of response efforts. This study examined how local jurisdictions use data at the policy, operational, and program assessment levels, and explored potential barriers and promising practices to facilitate data sharing among stakeholders. The study team developed and administered an online survey and conducted semi-structured interviews with stakeholders from 11 jurisdictions. Our findings indicate that data-driven approaches to fighting the opioid epidemic are common and used primarily to improve situational awareness and understanding of the epidemic, target resources effectively, and destigmatize opioid use disorder. Key barriers to sharing data among stakeholders include concerns about the timeliness and accuracy of data, resource constraints, and legal protections on sharing health related information.

Opioid Data Initiative Opioid Data Initiative Opioid use disorder is a major public health and public safety crisis in communities across the U.S. Many local jurisdictions have begun using data to more effectively and efficiently target resources and expertise, while also forming multidisciplinary partnerships to improve coordination of response efforts. This study examined how local jurisdictions use data at the policy, operational, and program assessment levels, and explored potential barriers and promising practices to facilitate data sharing among stakeholders. The study team developed

The CNA Supply Chain Operational Engagement (CNA SCOPE™) Method

/quick-looks/2025/08/the-cna-supply-chain-operational-engagement-method

CNA has developed a methodology to characterize lifeline commodity networks to inform both public and private sector decision-makers.

” of nodes, links, players, and interdependencies involved in that flow, and targeted assessment to meet the lifeline commodity needs of a dense, urban population. /quick-looks/2025/08

BTAM: Barriers to Continuity of Care

/quick-looks/2025/04/btam-barriers-to-continuity-of-care

BTAM is a community-based process that requires partners to work together to identify, assess, and manage threats

BTAM: Barriers to Continuity of Care BTAM is a community-based process that requires partners to work together to identify, assess, and manage threats Behavioral threat assessment and management (BTAM) is a community-based process that requires partners to work together to identify, assess, and manage threats. In a 2015 report, the FBI identified 11 key contributors to the BTAM process: law enforcement, prosecutors, schools, social services, health care systems and providers, lawmakers, courts, probation and parole officers, employers, parents and immediate family, and bystanders

BTAM: A Deep Bench of Resources

/quick-looks/2025/03/btam-a-deep-bench-of-resources

In June 2019, the Colorado Department of Public Safety hosted the Colorado Preventing Targeted Violence Summit.

suggests that successful intervention—that is, successful behavioral threat assessment and management (BTAM)—requires a team with a deep bench. Core players will be involved in most cases

Using Analytics to Improve Officer Safety

/centers-and-divisions/ipr/jri/officer-safety/analytics

Analyzes five years of data on law enforcement incidents to indentify characteristics associated with officer injuries and deaths.

and Innovation uses data-driven research and analysis while working with law enforcement agencies to analyze thousands of police incident data to support the development of a risk assessment model. This model ... to identify incident characteristics associated with negative officer safety outcomes. Using machine learning techniques, CNA produces a risk assessment model for each agency to link incident ... ://camdencountypd.org/ /images/Centers/IPR/JRI/OrgReform/CamdenCntySeal.png CNA presentation, 2021 International Association of Chiefs of Police (IACP) Officer Safety and Wellness Symposium: Using risk assessment

cna talks: U.S. Strategy on Al-Qaeda

/our-media/podcasts/cna-talks/2017/u.s.-strategy-on-al-qaeda

Despite experiencing setbacks over the last 16 years, Al Qaeda has proven to be a learning organization that has evolved and expanded. On this episode of CNA Talks, experts Jonathan Schroden, Julia McQuaid, Pamela Faber and Zack Gold discuss the findings released in CNA's independent assessment of U.S. government efforts against Al Qaeda.

U.S. Strategy on Al-Qaeda Despite experiencing setbacks over the last 16 years, Al Qaeda has proven to be a learning organization that has evolved and expanded. On this episode of CNA Talks, experts Jonathan Schroden, Julia McQuaid, Pamela Faber and Zack Gold discuss the findings released in CNA's independent assessment of U.S. government efforts against Al Qaeda. U.S. Strategy on Al-Qaeda Dr ... , operations assessment, Afghanistan, Pakistan and the Middle East. Julia McQuaid   is director of CNA’s Program on Transnational Challenges. She is an expert on international security issues

ai with ai: Remember, Remember, the Fakes of November

/our-media/podcasts/ai-with-ai/season-3/3-41

In COVID-related AI news, Andy and Dave discuss an article from Wired that describes how COVID confounded most predictive models (such as finance). And NIST investigates the effect of face masks on facial recognition software. In regular-AI news, CSET and the Bipartisan Policy Center released a report on “AI and National Security,” the first of four “meant to be a roadmap for Washington’s future efforts on AI.” The Intelligence Community releases its AI Ethics Principles and AI Ethics Framework. Researchers from the University of Chicago announce “Fawkes,” a way to “cloak” images and befuddle facial recognition software. In research, OpenAI demonstrates that GPT-2, a generator designed for text, can also generate pixels (instead of words) to fill out 2D pictures. Researchers at Texas A&M, University of S&T of China, and MIT-IBM Watson AI Lab create a 3D adversarial logo to cloak people from facial recognition. And other research explores how the brain rewires when given an additional thumb. CSET publishes a Deepfakes: a Grounded Threat Assessment. And MyHeritage provides a "photo enhancer" that uses machine learning to restore old photos.

an additional thumb. CSET publishes a Deepfakes: a Grounded Threat Assessment. And MyHeritage provides a "photo enhancer" that uses machine learning to restore old photos. /images/AI-Posters/AI_3_41.jpg ... paper Report of the Week Deepfakes: A Grounded Threat Assessment (50 page) Report Book of the Week All of Statistics: A Concise Course in Statistical Inference (446 page) Book

ai with ai: Xenophobe

/our-media/podcasts/ai-with-ai/season-3/3-12

The U.S. Government announces the restriction of the sale outside of the U.S. of AI for satellite image analysis. Baidu beats out Google and Microsoft for language “understanding” with its model ERNIE, which uses a technique that it developed specifically for the Chinese language. Samsung unveils NEON, its humanoid AI avatars. The U.S. Department of Defense stands up a counter-unmanned aerial system office. And GoogleAI publishes an AI system for breast cancer screening, but meets with some Twitter (and Wired) backlash on solving the “wrong problem.” Researchers at University of Vermont, the Allen Discovery Center/Tufts, and Wyss Institute/Harvard introduce the world’s “first living robots,” xenobots, constructed from skin and muscle cells of frogs (from designs made with evolutionary algorithms). RAND releases a report on an assessment and recommendations of the DOD’s posture for AI. AI for social good (AI4SG) releases its survey of research and publications on beneficial applications of AI. Daniel Dennett explores the question of whether HAL committed murder, in a classic 1996 essay. From the Bengio and Marcus debate, both references Daniel Kahneman’s “Thinking, Fast and Slow.” And Robert Downey Jr. hosts a YouTube series on The Age of AI.

algorithms). RAND releases a report on an assessment and recommendations of the DOD’s posture for AI. AI for social good (AI4SG) releases its survey of research and publications on beneficial ... : Assessment and Recommendations Summary (186 page) Report Review Paper of the Week Artificial Intelligence for Social Good: A Survey (78 page) paper Classic Essay

ai with ai: I Have No Eyes and I Must Meme

/our-media/podcasts/ai-with-ai/season-1/1-43

In breaking news, Andy and Dave discuss the Dota 2 competition between the Open AI Five team of AIs and a top (99.95 th   percentile) human team, where the humans won one game in a series of three; the Pentagon signs an $885M AI contract with Booz Allen; MIT builds Cheetah 3, a “blind” robot that has no visual sensors but can climb stairs and maneuver in a space with obstacles; Tencent Machine Learning trains AlexNet in just 4 minutes on ImageNet (breaking the previous record of 11 minutes); researchers at MIT Media Lab have developed a machine-learning model to perceive human emotions; and the 2018 Conference on Uncertainty in AI (UAI) may have been held 7-10 August in Monterey, CA – we’re not certain (but what is certain is that Dave will never tire of these jokes). In other news, IBM Watson reportedly recommended cancer treatments that were “unsafe and incorrect, and Amazon’s Rekognition software incorrectly identifies 28 lawmakers as crime suspects, about which Andy and Dave yet again highlight the dangerous gap in AI between expectations and reality. Lipton (CMU) and Steinhardt (Standford) identify “troubling trends” in machine learning research and scientific scholarship. The Institute for Theoretical Physics in Zurich describes SciNet, a neural network that can discover physical concepts (such as the motion of a damped pendulum). A paper by Kott and Perconti makes an empirical assessment of forecasting military technology on the 20-30 year horizon and finds the forecasts are surprisingly accurate (65-87%). “Elements of Statistical Learning Data Mining, Inference, and Prediction,” is available online. Andy recommends the Ellison classic story, I Have No Mouth, and I Must Scream, and finally, a video by Percy Liang at Stanford discusses ways of evaluating machine learning for AI.

makes an empirical assessment of forecasting military technology on the 20-30 year horizon and finds the forecasts are surprisingly accurate (65-87%). “Elements of Statistical Learning Data Mining ... concepts with neural networks THINGS OF THE WEEK Paper of the Week –   Long-Term Forecasts of Military Technologies for a 20-30 Year Horizon: An Empirical Assessment of Accuracy Technical

ai with ai: Tacotron, Aesthetics, and a Musical Game

/our-media/podcasts/ai-with-ai/season-1/1-12

Andy and Dave discuss “Tacotron 2,” the latest text-to-speech capability from Google that produces results nearly indistinguishable from human speech. They also discuss efforts at Google to create a Neural Image Assessment (NIMA), that not only can evaluate the quality of an image but can also be trained to rate the aesthetics (as defined by the user) of an image. And after a look at some of the AI predictions for 2018, they play a musical game with two pieces of music – can Andy guess which piece Dave wrote, and which the AI composer AIVA, the Artificial Intelligence Virtual Artist, wrote?

Andy and Dave discuss “Tacotron 2,” the latest text-to-speech capability from Google that produces results nearly indistinguishable from human speech. They also discuss efforts at Google to create a Neural Image Assessment (NIMA), that not only can evaluate the quality of an image but can also be trained to rate the aesthetics (as defined by the user) of an image. And after a look at some ... miscellaneous image-related topics: Aesthetic AI Complete “AI-created” image set Neural Image Assessment (NIMA) Adversarial patches A plethora of “AI in 2018” predictions: Carlos Perez