CrowdDoing Growth Hacking for Recruiting Data Science Volunteers
Growth hacking is a marketing process that aims to get leverage of high impact while bootstrapping. https://en.wikipedia.org/wiki/Growth_hacking, https://neilpatel.com/what-is-growth-hacking/, https://www.quora.com/What-is-a-typical-example-where-Growth-hacking-meets-data-science.
Our use of growth hacking at CrowdDoing is intended to scale our efforts in all key areas. One key area is recruiting machine learning volunteers/data science volunteers.
CrowdDoing has multiple project management machine learning and data science research initiatives that need additional volunteers. CrowdDoing Marketing and Communications to the Big Data/Machine Learning Community is an opportunity to help CrowdDoing reach its target audiences in machine learning and data science.
Content marketing in deep learning, cluster analysis, data science, regressions as an impact analysis tool, and other impact-oriented applications of machine learning are tools that can be used to reach this demographic.
Social innovation-oriented data science is a new field, as is machine learning-for-good. You can see a community of practice we've started seeding in big data-for-good/machine learning-for-good/data science-for-good here: https://www.facebook.com/groups/181152952554213/.
CrowdDoing Marketing and Communications to the Big Data/Machine Learning Communities help our global virtual volunteers collaborate to advance impact research objectives and machine learning-for-good/data science-for-good objectives.
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