Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

KDnuggets Home » News :: 2013 :: Oct :: Publications :: Great Debate: Design vs. Math ( 13:n26 )

Great Debate: Design vs. Math


Math informs; design compels. Which matters more? A well-designed collection of flawed information-or an opaque, hard-to-parse, but unerringly accurate model?



In this fast-paced, riveting, and sometimes irreverent debate, held at Strata 2013 Conference, and moderated by Alistair Croll, Strata conference chair, the teams take opposing positions on the core challenges of putting data to work.

On the side of Math, (left on the video) we have Skytree CTO and Co-Founder Alex Gray and Monica Rogati, Research Scientist at LinkedIn, on the side of Math.

On the side of Design (right on the video) we have Julie Steele (O'Reilly Media, Inc.) and Douglas van der Molen (ClearStory Data).

Math is proof. Given enough data-and today, we have plenty-we can know. "The right information in the right place just changes your life," said Stewart Brand. But your life won't change by itself. Bruce Mau defines design as "the human capacity to plan and produce desired outcomes." Math informs; design compels. Which matters more? A well-designed collection of flawed information-or an opaque, hard-to-parse, but unerringly accurate model? From mobile handsets to social policy, we need both good math and good design.

Which is more critical? You be the judge.



Sign Up

By subscribing you accept KDnuggets Privacy Policy