ScoreMyDataCenter Independent observatory

Who we are

An independent observatory.
Designed and led by an expert.

ScoreMyDataCenter is the work of Franck Bardol. At the intersection of AI infrastructure, ethics and public decision-making.

  • Independent: no operator funding, no conflict of interest.
  • Public: method, sources and grades accessible to all.
  • Open: corrections and responses possible for every scored project.

AI in service of the method, not in place of the human.

Because grading every data center in Europe is not something you improvise. An architecture of specialised agents processes tens of thousands of sources to grade each data center rigorously — under human control.

  1. Collect

    The agents locate the useful public sources: regulatory files, institutional data, operator documents, maps, local decisions and press articles.

  2. Structure

    They turn these heterogeneous sources into comparable data: power, water, land, grid, consultation, transparency, project status.

  3. Verify

    They cross-check information, flag contradictions, identify missing data and keep the source of every fact.

  4. Compute

    They apply the same method to every project, recompute the grades and check that thresholds, rules and guardrails are respected.

  5. Monitor

    They detect changes: a new authorisation, an appeal, a project modification, a published figure, an evolution of the grid or the local context.

  6. Prepare publication

    They produce a first factual synthesis and flag fragile wording. Final validation, arbitration and publication remain my responsibility.

Human responsibility

I define the strategy, the methods, the ESG weightings and the publication rules. I arbitrate complex cases, settle disagreements, orchestrate the specialised AI agents and stand behind every published grade. Agents propose, the human decides.

Expertise in service of the public debate

  • 10+ yearsin AI, data and quantitative modelling
  • Companies & institutionsAI projects for Banque de France, Thales, Airbus, General Electric, Bouygues Colas, SNCF, Saint-Gobain, STMicroelectronics, the ITER/CEA nuclear-fusion project, Vinci, GlaxoSmithKline, the French space agency CNES, SMEs…
  • Teaching & transmissioncourses, conferences, keynotes, LinkedIn Learning MOOCs (50,000+ professionals trained in AI)
  • Ethics & responsibilityMSc in AI and machine learning (Université Paris 6 – CNAM), Management (University of Geneva), statistical modelling (Université Paris Nanterre) and a Certificate in Philosophical Ethics (University of Geneva)

AI makes it possible to work at the scale of the corpus. The method, the arbitration and the responsibility remain human.

Understand our method → Want in? Contribute on GitHub ↗