AREAS

Applied Research, Evaluation & AI Solutions

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AREAS International

Applied AI and research expertise for international teams.

We welcome inquiries from organizations outside the United States seeking practical support with AI, machine learning, and emerging technologies.

AREAS combines production AI/ML engineering with criminal justice research and public-policy evaluation to connect technical possibilities with institutional needs.

How we can work together

Practical support for your team.

We welcome inquiries from universities, research groups, public institutions, international organizations, development partners, and businesses.

Applied AI and technical collaboration

Work with your research or technical team to assess a use case, build and test a bounded AI/ML pilot, or develop an AI-assisted research workflow.

How we evaluate AI

Data analysis and technology evaluation

Turn available data into useful analysis and assess whether a tool performs reliably for its intended purpose.

Tailored workshops and knowledge exchange

Build practical skills in AI-assisted research, technology evaluation, and evidence-informed decision-making. We tailor workshops to your team’s questions and experience, with agreed learning objectives, practical exercises, and supporting materials.

For research teams and public institutions

Connect technology, research, and practice.

We welcome collaboration with university departments, research centers, and public institutions investigating AI, emerging technologies, and policy or program outcomes. Our criminal justice and public-policy expertise helps frame the questions; our engineering capabilities support the analytical and technical work.

Explore our published research
  • Research design and comparative studies

    Develop research questions, review evidence, and plan analyses that account for differences in institutions, data, and national context.

  • Program and technology evaluation

    Examine implementation, outcomes, and stakeholder experiences, with clear distinctions between observed associations and evidence of impact.

  • Collaboration with your team

    Agree on roles across researchers, technical staff, and institutional partners, with shared methods, documentation, and knowledge transfer suited to your context.

Start with a focused project

Discuss an international project.

Each engagement starts with a defined question, agreed deliverables, and clear evaluation criteria. For international projects, we also establish language needs, local context, and data requirements during scoping.

Discuss an international project