Search Results

Your search for Data Analytics found 82 results.

CNA: A Trusted Partner in Maritime and Defense Revitalization

/quick-looks/2025/08/cna-a-trusted-partner-in-maritime-and-defense-revitalization

After decades of declining US shipbuilding and US-flagged maritime trade, leaders in Washington are prioritizing a renaissance of American seapower.

not only funding and policy support, but also world-class data analytics, labor analysis, and strategic planning. CNA offers critical resources in these areas. /quick-looks/2025/08

StaffLab Frequently Asked Questions

/quick-looks/2021/stafflab-faqs

5 questions about StaffLab are answered

, wargaming, and analytics. Organizational wargaming is a component of this service but does not stand alone. Unlike some traditional types of wargames, it also yields quantitative data that are further

Thirteen COVID-19 Resources that Use Artificial Intelligence

/our-media/indepth/2020/05/thirteen-covid-19-resources-that-use-artificial-intelligence

Andy Ilachinski and David Broyles, co-hosts of AI with AI, CNA's popular podcast on artificial intelligence, have compiled a timely, annotated list of AI developments and resources related to COVID-19.

a machine-learning-driven analytics dashboard that monitors locally reported COVID-19 cases and notifies users when a region’s numbers change significantly. Algorithms are based on publicly available data ... Coronavirus The Innovation & Digital Health Accelerator at Boston Children’s   Hospital has developed a dashboard that uses machine learning and social media data to track COVID-19. John Brownstein ... is the most extensive machine-readable coronavirus literature collection available for data mining. Additional resources include a full-text search engine ( CORD-19 Explorer ) and CoViz , an interactive

CNA: A Cultural Revolution Empowering Business Transformation

/our-media/indepth/2024/04/cna-a-cultural-revolution-empowering-business-transformation

CNA Chief Information Officer Rizwan Jan is fostering a collaborative culture to drive innovation, efficiency, and cybersecurity.

data management practices to ensure data integrity, availability, and compliance with regulatory requirements. Navigating the complex regulatory landscape and ensuring compliance with industry regulations and data protection laws presented its own set of challenges. This included implementing robust data governance policies, enhancing data security measures, and improving data analytics capabilities ... , he has taken on "a more strategic role in shaping the organisation's approach to data management, cybersecurity, and emerging technologies such as artificial intelligence and machine learning

Crime Analysts: Using Data to Make Communities Safer

/our-media/indepth/2023/09/crime-analysts-as-profession

Crime analysts identify patterns, trends, and connections in vast datasets to help law enforcement. The crime analysis profession expands along with police data.

justice or data analytics, a Master of Science in law enforcement administration, or a Master of Science in criminal justice. As crime analysis has grown in popularity over the years, colleges ... Crime Analysts as Profession Crime analysts identify patterns, trends, and connections in vast datasets to help law enforcement. The crime analysis profession expands along with police data. /images/InDepth/2023/09/Crime-Analysis-Map.jpg Crime analysis education, certification, careers with police Crime Analysts: Using Data to Make Communities Safer Alisa Leduc Alisa Leduc is a research analyst

Delivery Drones are Coming. Are We Ready?

/our-media/indepth/2023/09/delivery-drones-are-coming

Controlling the airspace for small package delivery by drones or UAS requires planning that is informed by analysis and modeling with tools such as CNA’s UCATS™.

Rebekah Yang is a systems engineer in CNA’s Center for Data Management Analytics supporting the future integration of emerging technologies, such as UAS and artificial intelligence, for the FAA ... clients. Mark Lesko is a research scientist in CNA’s Center for Data Management Analytics specializing in issues and analysis related to traditional air traffic management. Controlling

ai with ai: Elfnark’s Lottery Ticket

/our-media/podcasts/ai-with-ai/season-2/2-29

Andy and Dave take a look at the reintroduction of the "AI in Government Act," a bill that intends to get more AI technical experts into the US Government. San Francisco bans facial recognition software (but leaves the door open in the future), while Moscow announces plans to weave AI facial recognition into its urban surveillance net. Facebook opens up its data to academic researchers for analysis. DARPA announces the Air Combat Evolution (ACE) program, to automate air-to-air combat; DARPA also announces Teaching AI to Leverage Overlooked Residuals (TAILOR), to make soldiers fitter, happier, and more productive. And IARPA announces Trojans in AI (TrojAI), an effort to inspect AI for malicious code. In research, Andy and Dave discuss research from Frankle at MIT that proposes a "Lottery Ticket" hypothesis, which suggests only certain "winning combinations" are necessary for training neural networks, and that researchers have been training neural networks that are much larger than they need to be to increase the chances of includes one of these winning combinations. Leon Bottou at Facebook AI proposes a method for using AI to identify causal relationships in data (and which goes against the common modern practice of combining data sets into one giant dataset). And research from Cambridge, George IT, and the University of Pennsylvania demonstrates that Magic: the Gathering is officially the world’s most complicated game (and is Turing complete). In reports of the week, the Stockholm International Peace Research Institute releases the Impact of AI on Strategic Stability and Nuclear Risk. IKV and Pax Christi release The State of AI. Analytics Vedhya has compiled a list of 25 open datasets for deep learning. Benedek Rozemberczki has curated a list of decision tree research papers. The IEEE Spectrum releases a report on Accelerating Autonomous Vehicle Technology. The May 2019 issue of The Scientist contains 15 articles on how Biology is tackling AI. David Kriesel provides A Brief Introduction to Neural Networks. COL Jasper Jeffers wins the 2019 Sci-Fi Writing Contest with AN41. The ICLR 2019 provides video on four talks, including Frankle’s Lottery Ticket hypothesis, and Bottou’s Casual Invariance. Melanie Mitchell gives a Ted Talk on the Collapse of AI and the possibility of an AI winter. And the National Academies-Royal Society Public Symposium will be meeting in DC on 24 May for an International Dialogue on AI.

recognition software (but leaves the door open in the future), while Moscow announces plans to weave AI facial recognition into its urban surveillance net. Facebook opens up its data to academic researchers ... than they need to be to increase the chances of includes one of these winning combinations. Leon Bottou at Facebook AI proposes a method for using AI to identify causal relationships in data (and which goes against the common modern practice of combining data sets into one giant dataset). And research from Cambridge, George IT, and the University of Pennsylvania demonstrates that Magic

ai with ai: Slightly Unconscionable

/our-media/podcasts/ai-with-ai/season-5/5-10

Andy and Dave discuss the latest in AI news and research, including a GAO report on AI – Status of Developing and Acquiring Capabilities for Weapon Systems [1:01]. The U.S. Army has awarded a contract for the demonstration of an offensive drone swarm capability (the HIVE small Unmanned Aircraft System), seemingly similar but distinct from DARPA’s OFFSET demo [4:11]. A ‘pitch deck’ from Clearview AI reveals their intent to expand beyond law enforcement and aiming to have 100B facial photos in its database within a year [5:51]. Tortoise Media releases a global AI index that benchmarks nations based on their level of investment, innovation, and implementation of AI [7:57]. Research from UC Berkeley and the University of Lancaster shows that humans can no longer distinguish between real and fake (generated by GANs) faces [10:30]. MIT, Aberdeen, and the Centre of Governance of AI look at trends of computation in machine learning, identifying three eras and trends, including a ‘large-scale model’ trend where large corporations use massive training runs [13:37]. A tweet from the chief scientist at OpenAI, speculating on the ‘slightly conscious’ attribute of today’s large neural networks, sparks much discussion [17:23]. While a white paper in the International Journal of Astrobiology examines what intelligence might look like at the planetary level, placing Earth as an immature Technosphere [19:04]. And Kush Varchney at IBM publishes for open access a book on Trustworthy Machine Learning, examining issues of trust, safety, and much more [21:29]. Finally, CNA Russia Studies Program member Sam Bendett returns for a quick update on autonomy and AI in the Ukraine-Russia conflict [23:30].

Technical paper Compute trends across three eras of machine learning Database of milestone ML models Visualization of Parameter, Compute and Data Trends in Machine Learning ... enthusiasts sign up to repel Russian forces Analytics Insight: AI-related companies and their reactions Nando de Freitas’s Tweet on “AI community’s role” Small Drones

Sources for Police Use of Force Data

/our-media/indepth/2022/07/sources-for-police-use-of-force-data

Daniel S. Lawrence and Hannah McLaurin provide a variety of resources to help analysts and policymakers find data on police use of force.

Sources for Police Use of Force Data Daniel S. Lawrence and Hannah McLaurin provide a variety of resources to help analysts and policymakers find data on police use of force. /images/InDepth/Cop%20in%20Mask%20resized.jpg Sources for Police Use of Force Data Daniel S. Lawrence & Hannah McLaurin Daniel Lawrence is a Research Scientist Center for CNA’s Justice Research and Innovation. Hannah McLaurin is a CNA System Engineer for CNA's Center for Data Management and Analytics . Recent social movements for police reform have highlighted the lack of data collected or publicly available

China’s Global Public Opinion War with the United States and the West

/our-media/indepth/2024/08/chinas-global-public-opinion-war

China’s global propaganda is covert and overt, digital and analog. Developing informed policy responses requires studying the totality of Beijing’s propaganda.

social media tactics. The third is an overreliance on digital tools and big data analytics to understand Beijing’s behavior. Although important, these narrowly focused — or “siloed” — examinations