InBloom student data repository to close
The New York Times Bits blog reports on the close of InBloom, a database for student data that became a privacy lightning rod. On the one hand, it’s a great idea: there’s a lot that educators and researchers could learn from analyzing this type of data across regions, demographics, etc. On the other hand, it’s probably not a wise idea to connect students’ names with sensitive or personal information. Objectivity is key, too. You’d like to measure attributes in a way that doesn’t lend itself to educators’ biases and reinforcement of stereotypes.

In medicine, data Darwinism becomes playing god

It’s easy enough to quantify our lives with data and score people against the models we build, but sometimes — like in the case of organ transplants — deciding what scores matter is a matter of life and death.

Coffee & Empathy: Why data without a soul is meaningless

As we move towards a quantified society, one shaped by data, we start to dismiss things that are unquantified. Empathy, emotion and storytelling — these are as much a part of business as they are of life. Here is why.

Data Darwinism: reactions & reflections

My post, “Uber, Data Darwinism and the future of work” sparked a conversation. Here is a sampling of the reaction and reflection from the blog world.

Uber, Data Darwinism and the future of work

Uber, a San Francisco-based personal transportation oriented startup, is facing a backlash from a few of its drivers. But the confrontation is less about Uber and more about the challenges facing a society being rebuilt because of connectedness.