What happens when you apply data science to social or business challenges? What factors will help to make such projects successful?

In the first two parts of this mini-series, I outlined how you can develop your own approach for having a positive social impact as a data scientist by experimenting. Here is what I learned in the last 15 years from conducting such experiments.

In this blog post, I dig deeper into how we can run experiments that yield insights into how we can have a positive social impact as data scientists.

As a community, we know we can contribute more than just doctoring startup growth numbers or optimizing ad clicks. But how?

What kind of impact is meaningful to us is a deeply personal question, so there will be no one-fits-all answer.

There is a heated debate raging on whether AI and data science do more to help or harm society. My link list introduces optimistic, pessimistic and pragmatic voices on this topic.