- 01 Computer Vision for Outcome Measurement Automates classification, counting, and measurement tasks from images or video to produce outcome variables at scale
- 02 NLP for Open-Ended Survey Responses Automatically classifies, codes, and extracts information from free-text survey responses using natural language processing
- 03 LLM-Assisted Qualitative Coding Uses large language models to apply a codebook to qualitative data at scale, with human validation at each step
- 04 Synthetic Data Generation for Piloting and Privacy Creates realistic artificial datasets that preserve statistical properties without containing real respondent data — for instrument testing, code development, and privacy-compliant sharing
- 05 Automated Transcription Quality Assessment Evaluates the accuracy and completeness of automated speech-to-text transcripts before using them as data in qualitative or quantitative analysis
- 06 Machine Learning for Survey Imputation and Prediction Uses flexible machine learning models to impute missing values or predict survey outcomes from cheaper-to-collect proxy variables
- 07 Satellite Imagery & Remote Sensing for Outcome Measurement Uses publicly available or commercial satellite data to measure agricultural, environmental, and infrastructure outcomes at scale without field enumeration