The MEchanick Transculturalization Research and Innovation Consortium (METRICS)
Our Mission
METRICS works to reduce global cardiometabolic risk by using advanced analytics and AI to understand diverse ethnocultural populations.
Vision
To transform and optimize cardiometabolic health for individuals from all cultures, backgrounds, ethnicities, and regions of the world through cutting-edge research, transcultural collaborations, and community-driven initiatives.
SCIENTIFIC DOMAINS
• Public health sciences, epidemiology, and social determinants
• Precision medicine, big data, and artificial intelligence
• Transculturalization, translational, and implementation sciences
• Mental well-being and policy
Performance and Outputs by 2025
Learn about the CMBCD model
METRICS STATEMENTS
Diversity, Equity, and Inclusion
We respect and interpret diversity, equity, and inclusion for all people as an advantage in our efforts to promote transcultural adaptations of healthcare and fulfill our mission. This not only applies to the care of our patients but also to how we interact with our colleagues and partners.
Policy statement on publications and Predatory journals
At METRICS, we are committed to maintaining the highest standards of EXCELLENCE in research AND COMMUNICATION TOWARD our mission of improving cardiometabolic health in diverse populations everywhere. As such, all our members are encouraged to report their research findings to peer-reviewed journals that follow the ICJME guidelines and are recognized for their Scientific credibility. By adhering to this practice, we ensure that our research and reporting are RIGOROUS and TRUSTWORTHY by colleagues in the global health community, thereby meaningfully contributing to the scientific knowledge BASE and upholding our commitment to ADVANCING GLOBAL CARDIOMETABOLIC HEALTH with the highest standards of quality, integrity, and impactful dissemination.
We encourage METRICS members to evaluate if the journal that they are planning to submit is indexed by MEDLINE/PubMed, and if the journal is open access, check if it is listed in the Directory of Open Access Journals.
Responsible Use of Artificial Intelligence (AI) in Research
We encourage our members to:
Adopt a critical approach when using generative AI, continuously learning responsible usage to achieve and maintain AI literacy.
Refrain from listing generative AI as an author, as it cannot assume responsibility or accountability for submitted work.
Ensure the appropriateness and accuracy of AI-generated outputs, acknowledging their potential for inaccuracies or biases.
Avoid using generative AI to analyze or formulate peer review critiques, following the «Use of Generative Artificial Intelligence Technologies is Prohibited for the NIH Peer Review Process» (Link).
Use AI tools like ChatGPT, Claude, or Gemini to assist in coding tasks (e.g., identifying errors, creating functions) and in enhancing article writing by improving grammar, conciseness, and clarity, ensuring AI is used responsibly, and outputs are critically evaluated while maintaining that the core content and authorship remain human-driven.