A Quality Adjusted H-Index: Less is More (opens in new tab)

Measures are necessary because unmeasured work is easily ignored. If universities want to reward merit, they need some way to identify it. The problem is that every measure can be gamed. A recent example comes from prediction markets: French authorities investigated possible tampering with a weather sensor at Charles de Gaulle Airport after unusual temperature … Continue reading A Quality Adjusted H-Index: Less is More → The post A Quality Adjusted H-Index: Less is More first appeared on Repl...