We review issues of data infrastructure and artificial intelligence for social and behavioral modeling. Among the newer machine learning methods,adversarial training and fuzzy cognitive maps have particular unrealized potential.
Social media and social network analysis could help law enforcement monitor for safety threats, identify those at high risk for involvement in violence, and investigate crimes and crime networks. But computer security, privacy, and civil rights protections must be in place before using these tools.
Assessing whether networked risk assessments match the actual cascades that occur during disasters can provide a process for further refinement of assessment tools by uncovering their strengths and weaknesses.
Many academic disciplines have formally theorized culture as socially learned information that can influence beliefs and behaviors. This tool combines methods from anthropology and related areas to create a manual to examine cultural data.
This report examines the partnerships developed in Million Hearts, defines the practices and approaches to cardiovascular disease prevention that occurred as a result of the program, and provides suggestions for future Million Hearts activities.
Helping formerly homeless people identify members of their social network who trigger alcohol and other drug (AOD) use may motivate them to reduce high-risk AOD use in the transition to permanent housing.
The U.S. Army's global landpower network concept integrates, sustains, and advances the Army's efforts to meet U.S. national security guidance emphasizing the importance of working closely with partner nations to achieve U.S. strategic objectives.
This report describes a general agent-based model (ABM) for studying social learning, and uses that general ABM to explore the relationship between micro-influence and macro-dynamics for broad classes of problems.
Health care teams could use social network analysis study findings to adjust team structures to help facilitate information exchange, promote collaboration, and improve team performance and patient outcomes.
ISIS uses Twitter to inspire followers, recruit fighters, and spread its message. Its opponents use Twitter to denounce the group. An analysis of the communities opposed to ISIS suggests inroads for influence that the U.S. government's social media strategy should explore.
Political and economic risks arise from social phenomena that spread within and across countries. Regime changes, protest movements, and stock market and default shocks can have ramifications across the globe.
This pilot study will assess whether coupling social network visualizations with motivational interviewing can help Housing First participants transition away from homelessness and high-risk behaviors, such as substance use and risky sexual activity.
This article examines how friendship networks in adolescence are linked to tobacco use trajectories through a combination of analytic techniques that traditionally are located in separate literatures: social network analysis and developmental trajectory analysis.