We describe how ordinary interpretations of causal models and causal graphs fail to capture important distinctions among ignorable allocation mechanisms for subject selection or allocation. We ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, agent-based models (ABMs) proliferated across many fields, including economics ...

AI for coding has achieved product-market fit. Web3 is no exception. Among the domains AI will permanently change, smart ...

Valentine’s Day is less than a week away, and here’s how an economist says “I Love You” on that special day using graphs and economic theory. Here are three of my personal favorites below, and there’s ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph databases ...

Cooperative business models have long offered a unique method for organising economic activity by placing democratic control, shared ownership, and community benefit at the heart of enterprise. In the ...

As generative AI continues to dominate the headlines, it’s hard sometimes to find actual working business use cases among the hype. Writer is a San Francisco startup that is working to create ...

Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...

A multivariate Gaussian graphical Markov model for an undirected graph G, also called a covariance selection model or concentration graph model, is defined in terms of the Markov properties, i.e.