About CODE@MIT
The ability to rapidly deploy and iterate on randomized experiments in complex digital environments has reshaped social science and decision-making. With more social interactions, behaviors, decisions, opinions, and transactions digitized and/or mediated by online platforms, we have gained new capacities to address complex causal questions about the impact of social behavior on macro-level outcomes such as health, voting, political mobilization, consumer demand, and information diffusion. This evolved toolkit is shifting our scientific comprehension of human behavior and has facilitated monumental advancements in social and business policy. When grounded in robust theoretical models and applied with rigorous precision, digital experiments have emerged as the gold standard of causal inference and the linchpin of effective policy formulation and evaluation. Yet, the sheer scale and complexity of these experiments also pose distinctive scientific, statistical, and managerial challenges, including in experimental design and inference. The purpose of the Conference on Digital Experimentation at MIT (CODE@MIT) is to foster an interdisciplinary forum for leading researchers engaged in the design and analysis of randomized digital experiments. This includes researchers from diverse scientific disciplines (such as economics, computer science, and sociology) and working in academia, industry, civil society, and government — all with the common objective of establishing a sustainable multidisciplinary research community that continues to push the boundaries of our understanding.Thank you to our 2025 CODE@MIT Organizers:
- Sinan Aral
- Dean Eckles
- David Holtz
- John Horton
CODE@MIT Founders:
- Sinan Aral
- Erik Brynjolfsson
- Alex "Sandy" Pentland