Welcome to the

Distributed Meta-Analysis System

a tool for performing meta-analyses and comparing results


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Start your estimate


Contribute a new scientific result to our database. Your work will be searchable, able to be included in automated meta-analyses, and available to modelers looking for parameter estimates.




Crowd-sourcing


Explore the available meta-analyses and build one of your own! You can create a custom online form to distribute to other scientists, to collect results to compare and combine.



Bayesian updating


Each new results improves our combined estimate of the "gold standard" of knowledge for an area. We use Bayesian methods that reflect idiosyncratic differences between studies but captures the common element.



JAMES RISING, UC BERKELEY


James Rising is a researcher at the Energy and Resources Group at UC Berkeley. He studies and develops frameworks to model the feedback loops between environmental and human systems.

Hi, I’m James, the chief developer of DMAS, the Distributed Meta-Analysis System. I want to tell you about how DMAS can help you as a fellow scientist collaborate and get results.

SOLOMON HSIANG, UC BERKELEY


Solomon Hsiang combines data with mathematical models to understand how society and the environment influence one another.  

DMAS is a like a live literature review of quantitative results, with tools for comparing them, combining them, and collaborating around them. There is a lot more there, but I hope that gives you a sense of what is possible.  Thanks for listening and I look forward to your contributions!