What an engagement actually looks like

Systems thinking. The structure behind the behavior, for a problem that keeps coming back however it is fixed: how the parts connect, where the feedback and the delays are, why the pattern over time is what it is, and where to act on it.
Causal loop and stock-and-flow diagrams · The iceberg model · System archetypes · Group model building

System dynamics. A simulation you can run, for a problem that unfolds over time and fights back when you push on it: the stocks, flows, feedback and delays quantified, so a strategy or a policy is tried in the model before it is tried for real.

Network analysis. The relationships mapped and measured, for a problem that lives in who is connected to whom: which people, institutions or factors are central, where the chokepoints and the clusters are, and how influence flows.

Agent-based modeling. A model built from the bottom up, for a problem where the actors differ and adapt: each one given its own rules and left to interact, so the behavior of the whole emerges from the parts, where no top-down model captures it.

Scenario analysis. The futures worth testing, run on the model, for a decision that has to hold whichever way things go: what happens if, how sure the result is, and what to watch.
Scenarios on a system dynamics or agent-based model · Sensitivity and Monte Carlo analysis · Projections and forecasts

Emissions inventories. What is emitted, by whom, within what boundary, to the standards that govern it (GHG Protocol; ISO 14064), with every number traceable and the whole built to pass third-party verification.
Organizational GHG inventory, Scope 1, 2 and 3 · Community-scale GHG inventory for a city, county or state · Household and small-business GHG footprints

Life cycle assessments. A product, process or organization assessed from raw materials to end of life, to ISO 14040/44: what goes in and comes out, and what that does to climate, health, ecosystems, water and land, with the boundaries, factors and uncertainty visible.
A full assessment, cradle to grave · The life cycle analysis inside an environmental impact assessment · The toxicity and fate of substances, with USEtox

Carbon, water and product footprints. One question asked across the life cycle and answered to its standard: a carbon footprint, a water footprint, or the declared footprint a product carries to market, each with its factors and its boundary stated.
Carbon footprint (ISO 14067) · Water footprint (ISO 14046) · Environmental product declaration

Emission factors. The numbers an inventory multiplies by: chosen for the boundary and the year, sourced to the publication each came from, and versioned so the next inventory can be rebuilt on the same factors or moved to new ones on purpose.
A factor set chosen and sourced for one inventory · A maintained factor library · A review of the factors in an existing inventory

Regulatory reporting. The inventory or report a program requires, built to its rules, with the method, the factors and every number traceable to what the regulator can check.
Facility GHG and air-pollutant reporting under state and federal programs · Disclosure under a climate rule or program

Data engineering. Building the systems that take raw data in and produce consistent, checked data that analysis can run on.
Data pipelines · Databases: relational, document and graph · Data quality and governance · Document extraction

Custom datasets. You can't find the data? I'll build it. A dataset that doesn't exist, built from scratch for the question: the sources chosen, the records gathered, reconciled and checked, and delivered with the code that produces it and a methods note to rebuild it. Emission-factor datasets are the ones I have built most.

Data analysis & modeling. The analysis itself, on your data or on data I build: explored, cleaned and described, then modeled to answer the question, with the figures, the code and the method note so the result can be rerun and checked.
Exploratory and descriptive analysis, with the figures · Statistical models: regression, inference, time series · Machine learning, where the pattern is learned rather than fitted · Spatial and graph analysis

Tools & dashboards. A working tool your team keeps, with its code and documentation, from a prototype to a maintained tool.
A working prototype of the idea · A tested, versioned tool your team keeps · A dashboard for the people who have to read the numbers

AI applications. Building applications on top of existing language models.

Research design. The question framed so it can be answered, and the plan to answer it: which methods, what data or whom to ask, how the analysis will run, and what a reviewer will ask before it is accepted.
The methods and analysis plan for a project or a proposal · Sampling, instruments and protocols · Monitoring and evaluation frameworks with indicators

Evidence synthesis. What is already known on your question, gathered from the published record and put together so that every claim keeps its source and the disagreements stay visible.
Literature review · Scoping review · Rapid evidence assessment · Evidence-based systems mapping: a systems map built from the evidence base

Mixed methods. The qualitative and the quantitative in one design, each done properly and each checking the other: what people said and wrote, coded into findings, and the numbers analyzed alongside.
Qualitative data analysis: interviews, focus groups, workshop records, documents · Grounded theory · The quantitative analysis alongside, and how the two are brought together

Report and paper writing. The writing, to the standard of where it is going, as author, co-author, or the person who turns a finished analysis into a draft people will read.
Reports for funders and decision-makers · Journal articles, chapters and conference papers, as author or co-author · Methods sections and supplementary material

Critical review. Someone else's work read the way a reviewer will read it, before it goes out or before you rely on it: what holds, what does not, and what would make it hold, in writing.
Peer review of a paper or report before submission · Critical review of a life cycle assessment or product declaration · Review of a model or an inventory before you rely on it

A problem in one of my areas and nobody to take it on. I run it end to end, from scoping to handover, in steps, each step's result setting the next.

A project in your field with one piece in mine. I take that piece, at the stage where it is needed, and hand it back in a form your project can use.

Your people and your project, with a method or a pair of hands missing. I work inside the team, on your direction, for as long as the work needs.

The capability, kept in-house. I teach the method to the people who will keep using it, on a real piece of your work, until they do not need me.

Your team and your plan, with someone who has done this before looking over it, or on call while you do it.

An inventory, an assessment, a dataset, a model, a report: a fixed price for the agreed scope.

Time inside your team, or work that cannot be sized up front: by the hour or the day.

Being on call, reading and questioning the work as it goes: a retainer.

Toward a publication with my name among the authors: a lower fee, or an arrangement of its own.

Lower rates for clients in the Global South and for work on the issues I most want to help with.