Data Science

Do No Harm: An Ethical Data Life Cycle

Ethics generally works on the principles of do no harm. Although research protocols to protect human beings have been in place for a while now, the pervasiveness of multiple types of data and their use make it less clear where the impact on human beings is in the data life cycle. Thus, harm is not only direct based on exposing identifiable data for individuals, but also indirect resulting from the reuse of easily available data and combining multiple datasets[1].

Increasing participation of women in computing fields: A data science perspective

We live in an age when everyone understands the importance and pervasiveness of data—the pictures we take, the activities we track, the transactions we make, and the websites we visit. Data can often be contentious in terms of ownership and access. Today, businesses must deal with the availability, pervasiveness, control, and usage of data for their day-to-day workings. Now data and related aspects touch everyone’s life in one way or another. This portends a sea-change that needs to occur in the way we view technology jobs.

PODCAST | What makes a data scientist?

"Data Scientist" is listed as the “Sexiest Job of the 21st Century” by the Harvard Business Review, but what is data science and what do data scientists do? Claire Schulkey investigated the question at International Data Week speaking with Amy Nurnberger and Sarah Callaghan, two data professionals, and she heard from the chief data scientist at the New York Times to figure out what makes a data professional, how people get into the field, and what they do all day.

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