Rachel Schutt writes:

The hype surrounding Big Data and Data Science is at a fever pitch with promises to solve the world’s business and social problems, large and small. How accurate or misleading is this message? How is it helping or damaging people, and which people? What opportunities exist for data nerds and entrepreneurs that examine the larger issues with a skeptical view?

This Meetup focuses on mathematical, ethical, and business aspects of data from a skeptical perspective. Guest speakers will discuss the misuse of and best practices with data, common mistakes people make with data and ways to avoid them, how to deal with intentional gaming and politics surrounding mathematical modeling, and taking into account the feedback loops and wider consequences of modeling. We will take deep dives into models in the fields of Data Science, statistics, financial engineering, and economics.

This is an independent forum and open to anyone sharing an interest in the larger use of data. Technical aspects will be discussed, but attendees do not need to have a technical background.