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I am very happy to see that this report from the the Senate of Canada is out. My testimony is heavily cited: sencanada.ca/en/info-page... "Aaron Erlich encouraged the allocation of more resources for non-governmental organizations to help them target hard-to-reach populations..."
Did an access-to-information system in #Mexico work? Did it become more responsive to public requests for information over time, or did portions of the public become more "expert" in their requests, which in turn ensured responses from the system?
Does anyone have thoughtful approaches to evaluating graduate-level quantitative methods courses in the era of generative AI? I have looked at a lot of folks' syllabi, and they are from a few years ago. It feels like there has been a sea change in the meantime. Thoughts on evaluation?