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Abt helped 25 countries reform their own health financing, improve access to and quality of health services, and prevent and contain disease outbreaks.

Since our founding, Abt Global has tackled the world’s toughest challenges through advanced data analytics and emerging technologies. Data science remains at the heart of what we do today, powering solutions across health, environment, education, housing, and economic development. We utilize cutting-edge versions of tools—such as natural language processing (NLP), generative AI, chatbots, drones, and more—to meet our clients’ diverse needs.   

Abt’s proficiency in data science, statistics, methodology, and project management helps government and community stakeholders uncover valuable insights. We devise new survey designs like address-based sampling and precision geographic targeting. We meet data collection challenges with innovations like Virtual Omnichannel Integrated Citizen Engagement (VOICE), which integrates inbound and outbound support for in-person, telephone, web, texting, and interactive voice response approaches, augmented with chatbots and Artificial Intelligence (AI) response scraping. From design through execution, we evaluate data sources to eliminate inaccuracies and enhance the quality and integrity of results.

Etosha National Park, one of Namibia’s primary attractions, covers 8,600 square miles of wilderness, including the massive Etosha salt pan and savanna woodlands. Visitors stay in lodges within the park and visit watering holes to watch zebras, giraffes,…

Abt’s expertise with PFAS, lead, and perchlorate enables us to assess health risks, technology effectiveness, and health benefits of water treatment options.

Abt helped the EPA develop data-driven regulations, treatment tools, and exposure models that strengthen protections against contaminants such as PFAS and lead, improving drinking water safety for millions of Americans.

Non-partisan political polling presents unique challenges that demand an experienced team. Media clients, like ABC News and The Washington Post, demand quick-turnaround work to fit today’s rapid news cycle. In addition, this work is subject to a high…

Abt uses machine learning to do things that until recently would have been impossible, such as categorizing a vast amount of unstructured text into main themes or counting mosquito eggs from a smartphone picture using image recognition.

This feasibility study will help BJS assess whether to try to gather reliable national data on misdemeanor charges filed in state, county, and city courts.