Seminar by Prof. Richard Gold, McGill University
Event details
| Date | 30.11.2018 |
| Hour | 12:00 › 13:30 |
| Speaker | Prof. Richard Gold, McGill University |
| Location | |
| Category | Conferences - Seminars |
"A discussion of the current innovation crisis "
Abstract :
The talk will cover two topics. First, a discussion of the (mostly economic and social science) literature explaining the current innovation crisis. I would highlight three factors that call for a change in how we organize research innovation: 1) increasing (and unsustainable) costs of research and innovation; 2) decreasing research productivity; and 3) narrowing of research investigations so as to be less innovative. This is a result of many trends, but a primary one is our organization of science in silos surrounded by intellectual property. While intellectual property does provide incentives, it also creates barriers. We have reached a point at which the barriers have become more significant than the incentives. Open science provides one alternative model – there are others – that can help address these problems.
Second, a presentation of a model of innovation based on the work of Matthew Clancy. We have developed a computer model that, so far, predicts about 8% of patent applications each year. We hope to improve it and to use it to test out the effects of changing parameters to reflect open science.
Abstract :
The talk will cover two topics. First, a discussion of the (mostly economic and social science) literature explaining the current innovation crisis. I would highlight three factors that call for a change in how we organize research innovation: 1) increasing (and unsustainable) costs of research and innovation; 2) decreasing research productivity; and 3) narrowing of research investigations so as to be less innovative. This is a result of many trends, but a primary one is our organization of science in silos surrounded by intellectual property. While intellectual property does provide incentives, it also creates barriers. We have reached a point at which the barriers have become more significant than the incentives. Open science provides one alternative model – there are others – that can help address these problems.
Second, a presentation of a model of innovation based on the work of Matthew Clancy. We have developed a computer model that, so far, predicts about 8% of patent applications each year. We hope to improve it and to use it to test out the effects of changing parameters to reflect open science.
Practical information
- General public
- Free