About Us

ResearchMethods.org and GrmdsAI form a knowledge platform for AI transformation through Holistic Computation (HC), Artificial Spiritual Intelligence (ASI), and the AI Maturity Ladder.

Our work integrates data science, causality, systems thinking, and responsible AI to help organizations move from fragmented experimentation to scalable, trustworthy, and high-impact transformation.

Who We Are

Global Association for Research Methods, Data Science and Artificial Intelligence (GrmdsAI) is the continuation of the RM Institute, which has delivered consultation and training in research methods, data science, machine learning, and AI since 2000. Formally established in California as a non-profit in 2016, GrmdsAI serves as the steward of the intellectual property and ecosystem behind Holistic Computation (HC), including 4Capital, Causal AI, and the 4Es operating framework.

Since 2019, we have established and supported technology labs, developed HC use cases, and served customers and partners across multiple sectors. Today, our platform continues to evolve toward a broader mission: helping individuals and organizations achieve responsible AI transformation with clarity, accountability, and long-term value creation.

Our Mission

We advance rigorous, responsible, and value-aligned research and AI practice so organizations can turn evidence into reliable, equitable decisions at scale for impacts.

What Makes Our Platform Different

ResearchMethods.org is not just an informational website. It is a developing knowledge platform built around an integrated framework for AI transformation.

• Holistic Computation (HC) provides causal clarity, ecosystem thinking, and multi-capital value optimization.
• Artificial Spiritual Intelligence (ASI) extends AI toward ethical, trustworthy, and purpose-aligned practice.
• AI Maturity Ladder helps organizations move from isolated pilots to scalable, high-impact AI adoption.

Together, these pillars connect strategy, systems, causality, governance, and human values into one coherent approach to transformation.

What We Do

• Advisory and Lab Enablement — stand up and modernize analytics and AI labs; design operating models and governance aligned to HC.
• Education and Certification — practitioner-focused programs in research methods, causal inference, forecasting, and responsible AI.
• Solution Development — build and transfer HC use cases in healthcare and wellness, clean-energy operations, and research optimization.
• Community and Convening — connect practitioners and leaders to share proven methods and accelerate impact.

Impact Focus

• Whole-person development: earlier risk detection, personalized care pathways, and equity-aware delivery.
• Energy and infrastructure: forecasts translated into safe, profitable dispatch, maintenance, and demand response.
• Research excellence: portfolios aligned to clear goals, higher reproducibility, and transparent impact.

How We Work

1. Clarify goals and stakeholders across measurable outcomes.
2. Make assumptions explicit and define decision points before modeling.
3. Prove value and safety with calibration, robustness, fairness, and decision-value tests.
4. Deploy with guardrails through policy cards, audit trails, and monitoring for drift and recourse.
5. Scale what works via shared playbooks, registries, and governance.

We are mission-driven, vendor-neutral, and privacy-first. Our purpose is to build capacity, not dependency, and to help each partner move from data to decisions, and from decisions to impact.

Start Here

If you are new to our work, we recommend starting with these core entry points:

• Introduction to HC and ASI
• Holistic Computation resources
• Artificial Spiritual Intelligence resources
• AI Maturity framework

Our Founder - Dr. Alex Liu

Dr. Alex Liu is the Director of the RMDS Lab, an advisor for the Harvard Data Science Review, an AI educator at Caltech, and an adjunct professor at Claremont Graduate University. From 2013 to 2019, he was recognized as a thought leader in data science and served as a Distinguished Data Scientist at IBM, where he held the role of Chief Data Scientist for Analytics Services.

Before joining IBM, Dr. Liu worked as Chief Data Scientist for several companies, including iSKY and Retention Science. He also has an extensive academic background, teaching advanced quantitative methods to MBA and PhD candidates at the University of Southern California and the University of California, Irvine. During this period, he consulted for prominent organizations such as the United Nations and Ingram Micro.

Dr. Liu holds an MS in Statistical Computing and a PhD in Quantitative Sociology from Stanford University. Read more about Dr. Alex Liu.

Our Partners