Karim Lakhani is giving a great keynote at C&T about tracking innovation. He has worked with MatLab programming contests that have a fascinating format. There's clear performance outcome; source code of all entries is available to other people; leaders are tracked. Researchers can track which lines of code get reused.
What leads to displacing the currently leading entry? --novel code --novel combos of others' code --NOT borrowed code --complexity --NOT conformance
What leads code to get reused in future (leading) entries? --novel code --novel combos of others' code --borrowed code --complexity --conformance
Also did experiments with TopCoder. One experiment with computational biology contest problem. Three conditions (random assignment?): Fully collaborative vs. fully competitive vs. mixed (competitive first week, then all code shared) Fully collaborative got the best performance Best performing entries did better than state-of-the-art in computational biology
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