Understanding how diverse individuals and communities respond to persuasive messaging holds significant potential for advancing personalized and socially aware machine learning. While Large Vision and Language Models (VLMs) offer promise, their ability to emulate nuanced, heterogeneous human responses, particularly in high stakes domains like public health, remains underexplored due in part to the lack of comprehensive, multimodal dataset. We introduce PHORECAST (Public Health Outreach REceptivity and CAmpaign Signal Tracking), a multimodal dataset curated to enable fine-grained prediction of both individuallevel behavioral responses and community-wide engagement patterns to health messaging. This dataset supports tasks in multimodal understanding, response prediction, personalization, and social forecasting, allowing rigorous evaluation of how well modern AI systems can emulate, interpret, and anticipate heterogeneous public sentiment and behavior. By providing a new dataset to enable AI advances for public health, PHORECAST aims to catalyze the development of models that are not only more socially aware but also aligned with the goals of adaptive and inclusive health communication

A.I is here to stay, and is growing at a tremendous pace. As are the amount of startups in the field. In 2020, VCs poured in $27.8B in A.I startups, and in 2021 so far, VC funding has ballooned to $29.5B, all into A.I startups. Tons of new projects out there that deserve getting coverage! So here is a list of the Top 107 A.I journalists in 2021.

Booz Allen Epidemico is a platform for monitoring health topics derived from online conversations across media sources. The platform provides custom portfolios by topic, including disease outbreaks, drug safety, product and brand sentiment, patient experience, food safety, and more. This health vigilance product blends leading edge technologies to deliver accessible, high-quality, and actionable insights. Booz Allen Epidemico was developed by a team of industry-recognized and mission-driven epidemiologists, health leaders, scientists, and engineers. Booz Allen Epidemico is a cloud-based software for understanding health topics.

This study investigates the public health intelligence utility of Yik Yak, a social media platform that allows users to anonymously post and view messages within precise geographic locations. Our dataset contains 122,179 “yaks” collected from 120 college campuses across the United States during 2015. We first present an exploratory analysis of the topics commonly discussed in Yik Yak, clarifying the health issues for which this may serve as a source of information. We then present an in-depth content analysis of data describing substance use, an important public health issue that is not often discussed in public social media, but commonly discussed on Yik Yak under the cloak of anonymity.