As an open community, the first and foremost thing is to ensure an easy replication. However, statistics driven topics, such as machine learning in CS majors and empirical studies in economics and management have ruined that base for private data. I think the academic community is dead after all the data and statistics driven academics coming along and thriving. There is no way to verify all of the results and the community is a merely bunch of untestable meterials.
Most academic frauds come out of fake data. And that’s only the tip of the iceberg. We have to reevaluate the threat that’s coming along to the community. Admittedly, most results are biased to some extent. The issue exaggerated as the data and statitics dominated the toolbox. If some pathways to the final result have been polluted by fake results, it would be a waste of efforts.
There is no need to adore a college. I like MIT so much not because of their hacking culture, but a high level engineering institute. A man grabs the megatrend and succeeds and so does a college. Stanford is merely one of the colleges that makes the most of the Bay Area miracle. I really adore the way Princeton does college the other way round. No chasing trends, no enrollment expansion,(and an awsome math community of course lol) just do what a college should do and keep it stupid simple.