What we offer
Methods support for publishable research.
From initial design to replication package — we cover the full methodological lifecycle of a research project.
Study design & pre-registration
Power calculations, sampling strategy, pre-registration drafts (OSF, AsPredicted). We design for the analysis you intend to run, not the other way around.
Econometric & statistical modelling
Panel data, IV estimation, DID, RD, structural equation models, hierarchical linear models, Bayesian inference. We work in R and Python with full reproducibility.
Peer review response
Reviewer 2 asked for a robustness check you weren't planning. We run it, document it, and draft the response section — so you resubmit stronger, not just faster.
Reproducibility & data documentation
Full replication packages: annotated code, README files, codebooks, version control. Meeting the standards of journals that require open data and open code.
Health & clinical study methods
We have MD collaboration for health data, epidemiological methods, and clinical study design. Appropriate for health-sector research requiring medical oversight.
Survey methods & measurement
Instrument design, translation validation, measurement invariance testing, scale reliability. For cross-national or Turkish-market surveys in political science, sociology, and public health.
Open source by conviction
R. Python. Linux.
No proprietary lock-in.
We use open-source tools not because they're free-as-in-beer, but because reproducibility requires auditability. Any researcher should be able to run your analysis from your code and your data and reach your results. That's only possible without proprietary walls.
We work in Stata and SPSS if that's what your institution requires — but where the choice is yours, we advocate for an open stack. We can also migrate legacy analyses from proprietary software to R or Python as part of a reproducibility project.
The same transparency we expect in published science, applied to our own work.
How we collaborate
A methodological partner, not a subcontractor.
We work with your team's standards, timelines, and theoretical commitments — not around them.
Start with a scope call →Scope call
We read your draft, pre-registration, or project outline in advance. The call is substantive from minute one.
Collaboration agreement
A document that names what we're doing, the timeline, the fee, and — critically — how our contribution will be acknowledged. No ghost work.
Iterative working sessions
Regular check-ins with shared working documents. You're involved in every methodological decision, not presented with a fait accompli.
Reproducible deliverable
Annotated code in your chosen environment. A narrative methods document you can drop into a supplementary file or share with a data editor.
Peer review support
When reviewers request additional tests, we're available to run them and help draft the methodological response.
Open source by conviction
R. Python. Linux.
No proprietary lock-in.
We use open-source tools not because they're free-as-in-beer, but because reproducibility requires auditability. Any researcher should be able to run your analysis from your code and your data and reach your results. That's only possible without proprietary walls.
We work in Stata and SPSS if that's what your institution requires — but where the choice is yours, we advocate for an open stack. We can also migrate legacy analyses from proprietary software to R or Python as part of a reproducibility project.
The same transparency we expect in published science, applied to our own work.
Pricing
A clear fee. Before you commit.
Every engagement starts with a free scope call and a written proposal. You see the total cost before we begin.
Project — defined scope, fixed fee
Most research projects fall under this tier. For ongoing programmes (ERC, national-council or institutional grants), the Araştırma Programı quarterly retainer is available.
What's included
Ready to make sense of your data?
Book a free 20-minute consultation. No commitment, no sales pitch — just a conversation about your research.