NSF CCF director and CS theorist Sampath Kannan talked about similarities between CS and econ: Both deal with human-created artifacts and both talk about understanding the possible and the impossible. I would argue that while computers are a human-created artifact, computation itself is a natural process. I suppose an economists might make a similar argument.
Most importantly Sampath talked about the strong support of the NSF in both CS and Econ to focus more on these communities. The NSF Econ program office Nancy Lutz also promoted this view talking about the fondness of math in both fields.
Much of my research in the last couple of years has been looking at ways to apply tools of computational complexity to economic models which is what I'll be talking about later today. Can we harness the computational powers of "the market"? How does agents of limited computational ability change the outcomes of economic situations? Can we use computation to help explain economics phenomenon? Somehow I need to talk more complexity theorists to work on these problems. Why should algorithms people have all the fun?
On that note the accepted papers for SODA is out and Noam picks out the ones related to CS/Econ issues.