CrowdDoing Big Data & Machine Learning Volunteering is a key volunteer role for us. Machine learning is so important inn social innovation scaling, learning from datasets that allow simulation, productization based on simulation, cost-benefits analysis simulation.
CrowdDoing leverages global virtual collaboration to help transformative social innovations scale (https://drive.google.com/file/d/1gDJtdZsCHHskaiOcwf4MB1tikkL7LMoo/view?usp=sharing). You can see how we have organized volunteers around for example developing an Impact Potential Analysis vis a vis the Sustainable Development Goals for Arcimoto (https://drive.google.com/file/d/0B2QfhAjsxaIGU2hRNXk1QVVxUVE/view?usp=sharing). You can learn more about how CrowdDoing works here (https://drive.google.com/file/d/1NlevZtOIq6NmwdfighptYqTRK_Pt-YQy/view?usp=sharing).
For each social enterprise challenge, we identify from a systematic change perspective what volunteer expertise combinations would ideally be available for that social enterprise. CrowdDoing, a joint initiative of Match4Action (http://match4action.org is the partner of CrowdDoing along with Reframe It)
CrowdDoing Machine Learning Volunteering for Systemic Change needs colleagues to help us at with machine learning expertise, machine learning micro-leadership and machine learning service learning.
"To help support you joining the right part of CrowdDoing for you, please use this form: https://docs.google.com/forms/d/e/1FAIpQLSftd6E0tyV2uq7mMty1rZ80BB2MSGhbnof9gRBvaQXbrttIkg/viewform?usp=sf_link"
If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to email@example.com
CrowdDoing Big Data & Machine Learning Volunteering is a key volunteer role for us. Machine learning is so important inn social innovation scaling, learning from datasets that allow simulation, productization based on simulation…