What percentage of contributions to Github's “very high impact” AI projects will be from the EU in 2022?
Started
May 26, 2022 04:00PM UTC
Closed Jan 01, 2023 04:59AM UTC
Closed Jan 01, 2023 04:59AM UTC
Question will be resolved using Github data from the OECD AI Policy Observatory’s data on AI software development. The link will take you to the “Contributions to public AI projects by country and project impact” page. Set the following parameters for the data:
- AI projects impact indicator (# of forks): “Very high impact (>100 forks)”
- “Percentage” checkbox: checked
See here for more information about the OECD’s methodology and the Github data. Question will be suspended on 31 December 2022 and resolved when the OECD database is updated.
New to AI? Check out our blog post on AI competitiveness for a list of resources to jumpstart your research. To learn more about the OECD data and how it's used by policy makers, check out this video.
Question clarification
Issued on 05/31/22 08:29pm
The wording of this question has been updated to better align with the data source. This question asks about the ratio of the EU's contributions to AI projects to the total number of contributions to AI projects from all countries. You can read more about this data set at https://oecd.ai/en/github.
The wording of this question has been updated to better align with the data source. This question asks about the ratio of the EU's contributions to AI projects to the total number of contributions to AI projects from all countries. You can read more about this data set at https://oecd.ai/en/github.
Resolution Notes
9.8% of contributions to high-impact projects on GitHub came from the EU
| Possible Answer | Correct? | Final Crowd Forecast |
|---|---|---|
| Less than 10 | 20% | |
| More than or equal to 10 but less than 15 | 38% | |
| More than or equal to 15 but less than 20 | 35% | |
| More than or equal to 20 | 7% |
Crowd Forecast Profile
| Participation Level | |
|---|---|
| Number of Forecasters | 38 |
| Average for questions older than 6 months: 60 | |
| Number of Forecasts | 161 |
| Average for questions older than 6 months: 222 | |
| Accuracy | |
|---|---|
| Participants in this question vs. all forecasters | better than average |
