Research collaboration

We work with researchers and programmes from instrument design through collection, analysis, maps, and the tables that go into a report or manuscript.

Domains include health, public health, epidemiology, agriculture, environment, education, social science, economics, governance, climate, food systems, and community development.

What we do

Support across a study cycle

Study and indicator design

Help turn a protocol into variables, skip logic, and a codebook that matches the analysis plan.

Field and clinic collection

Configure REDCap, ODK, Kobo, or CSPro, train enumerators, and monitor incoming data quality.

Analysis

Statistics in R, Stata, Python, or SPSS — including survey weights and epidemiological measures when required.

Spatial and facility views

QGIS maps of cases, coverage, or catchment areas linked to the same IDs as the dataset.

Reporting

Tables, figures, and a methods note a co-investigator can defend.

Ethics-minded handling

Identifiers kept off analysis files where possible, and access limited to the named study team.

Tools we use

Research stack

REDCapeCRFs, surveys, longitudinal events, data quality rules, and export to Stata/R/SPSS

ODK / KoboToolboxCommunity and household interviews on Android, including GPS and photos

CSProLarge survey instruments and batch processing used in official statistics work

REpidemiology and biostatistics packages, reproducible reports

StataDo-file analysis for many health and social-science datasets

PythonCleaning, linkage, and modelling alongside R or Stata

SPSSWhen a faculty or NGO partner already analyses in SPSS

QGISStudy-area maps, facility locations, and choropleth indicators

Need this capability on a live project?

Tell us the dataset, the field setting, and the decision the work must support. We will propose a concrete stack and a delivery path.

Contact SAWE