The Hadooponomics Podcast, Episode 8 – Gender Equality in Technology and Rethinking the Ethics of Big Data

HadooponomicsEp8This week’s episode of Hadooponomics features well-known techno-ethicist Emer Coleman.

Emer is the Chair of Ireland’s Open Data Governance Board, a frequent speaker, and a respected advocate for gender equality in the world of technology. Having Emer on the show let us take the podcast into uncharted territories. We navigated the discussion around the uneven socio-economic benefits associated with technology and posed questions as to why we should be designing our future with great care.

We start the interview with a conversation around data privacy and the merits of whether or not we should regulate the algorithms that tech giants use to influence our everyday experiences (such as Google search results and the Facebook newsfeed). From there, Emer proposes that we should start thinking about the merits of ethics training for the data scientists and software engineers that are building the digital world. I’ll admit, I was skeptical of this argument, but Emer’s points were enough to force me to reconsider.

We round out the episode talking about gender equality in the technology industry (or, more specifically, the lack of gender equality) and discuss first why it is an important issue and then lay out strategies to address it.  All in all, this episode offers a number of discussion starters, and dives deeper into the social forces that underpin the Big Data revolution.

Listen to the Show:

Use the embedded media player to stream the full episode or you can subscribe to our iTunes and Stitcher channels. The full transcript of the interview is also available.

PodcastHadooponomics Podcast Home | Subscribe via iTunes | Stitcher Radio | Transcript

Additional Resources

Find Emer on Twitter: @emercoleman

Check out Emer’s personal website offering background information and her latest discussions.

About Arcadia Data:

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Arcadia Data unifies visual analysis, business intelligence and data discovery; it runs natively on your Hadoop clusters without data extracts. Its easy-to-use browser-based visualizations deliver secure access for hundreds of concurrent users across hundreds of billions of rows in near-real time.

About James Haight

James Haight is a principal analyst at Blue Hill Research focusing on analytics and emerging enterprise technologies. His primary research includes exploring the business case development and solution assessment for data warehousing, data integration, advanced analytics and business intelligence applications. He also hosts Blue Hill's Emerging Tech Roundup Podcast, which features interviews with industry leaders and CEOs on the forefront of a variety of emerging technologies. Prior to Blue Hill Research, James worked in Radford Consulting's Executive and Board of Director Compensation practice, specializing in the high tech and life sciences industries. Currently he serves on the strategic advisory board of the Bentley Microfinance Group, a 501(c)(3) non-profit organization dedicated to community development through funding and consulting entrepreneurs in the Greater Boston area.
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