ECCO is a compute resource of the Cornell Economics Department. In order to access ECCO, you will need to request a ECCO computer account. In general, accounts will be created :
- for faculty research:
- you are a faculty member of the Cornell Economics Department with a project on ECCO (if you are a faculty member at Cornell (at the Economics Department or elsewhere) and do not yet have a project on ECCO, please consult the project creation page or contact us)
- you are a student working with such a faculty member
- you are a researcher who is collaborating with such a faculty member
- for graduate research:
- you are a graduate student in the Cornell Economics Ph.D. program working on your thesis research
- for class work:
- your (Cornell Economics) graduate class requires you to do computational work, and points you here.
If, on the other hand,
- You wish to access the Synthetic Data Server (SDS), please see this page instead.
- You wish to prepare for a Census RDC proposal using the Simulated Census RDC (the original "VirtualRDC functionality"), please see this page instead.
We note that these systems are for users who are comfortable with advanced data analysis. Our systems run Linux, and users are provided access to several statistical software packages. Other on-campus resources are available, for instance at CISER and CAC which may better suit your needs. We note that ECCO does not house any confidential data, and is not set up to do so.
In order to request an account, please fill out this form.
Once filled out, we will route your account to the relevant faculty member for approval, and an additional form will then be filled out.
- we will setup your compute account.
- You will receive an email from firstname.lastname@example.org that will contain your login and password information for the first logon. You will be directed to the "First login" page, which outlines the next steps.
While you are here:
We ask that you acknowledge the use of resources originally provided through NSF Grant #0922005 in your publications and other materials. Suggested acknowledgements:
This research was made possible through the use of Cornell University's Economics Compute Cluster Organization, which was partially funded through NSF Grant #0922005.