CODE@MIT

@codemit.bsky.social

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Conference on Digital Experimentation (CODE@MIT) hosted by the MIT Initiative on the Digital Economy

With just ten days left until the final abstract deadline, I wanted to highlight some exciting research directions we're hoping to see at CODE 2025 (Nov 14-15 at MIT). This year, we are particularly interested in attracting submissions on the following topics: 1. Meta-experimental methodology and organizational learning from experimentation (e.g., how do systematic experimentation practices influence organizational decision-making? What factors drive institutional adoption of experimental methods? How can we develop frameworks for measuring the aggregate scientific and practical value of experimentation portfolios?) 2. Experimental evidence as foundational input for causal inference and predictive modeling (e.g., integrating randomized controlled trials with observational methods in econometric modeling, data-driven optimization, and synthetic control approaches; RCTs as inputs to media mix models; validation frameworks for surrogate endpoints and proxy measures) 3. AI and experimentation (e.g., AI-assisted experimental design and analysis; RCT-based evaluation frameworks for AI systems; using experiments to improve AI system performance; AI systems as experimental subjects or tools)