Przemysław Marcowski

Applied Scientist

I use data to find answers, solve problems, and make things more interesting.

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Projects

Discrete Choice Experiments (DCE) with Shiny

Flexible system for building discrete choice experiments using R Shiny, with tools for efficient design generation, online and offline deployment, data collection, and cloud storage.

Data Collection R Shiny

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Predicting Behavior in Economic Choice

Research framework analyzing effort-based economic decisions, implementing computational models to evaluate how effort influences outcome valuation.

Behavioral Models R Python

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scio R Package for AI Object Summarization

scio: AI Summaries of R Objects

R package for generating AI-powered summaries of various R objects, including data frames, statistical models, plots, and text, directly within your R environment.

Automation LLM API

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Skills

Data Science Machine Learning Quantitative Methods Decision Science Applied Statistics (Descriptive & Inferential) Predictive Modeling Computational Modeling Causal Inference Experimental Design Model Evaluation Time Series Dashboards End-to-End Data Pipelines (ETL/ELT) Python R SQL Spark BigQuery Docker Git

Professional Experience

Recent Publication

Effort can have positive, negative, and nonmonotonic impacts on outcome value in economic choice

Marcowski, P., Białaszek, W., & Winkielman, P.

Journal of Experimental Psychology: General (2025)

This paper investigates effort's influence on outcome valuation in economic decisions, comparing prospective and retrospective scenarios. Effort can diminish or enhance value depending on context and individual, often displaying nonmonotonic patterns. To account for these patterns, a novel decision model explains and predicts these effects via the interplay of perceived effort costs and benefits.

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