Webcast/Debate: Should Data Science Become a Profession and Self-regulate?
Join/Watch on Google Hangout, Apr 10, 1 pm PT, 4 pm ET, with Gregory Piatetsky-Shapiro (KDnuggets), Eric Siegel (Predictive Analytics World) and Michael Walker (Rose Business Technologies) for a spirited discussion on data science as an independent profession with a code of conduct and self-regulation. Tag #DataScienceProfession.
Should Data Science Become a Profession and Self-regulate?
Wednesday April 10, 2013 at 1pm PT, 4pm ET, 21:00 London time. Duration: 30 minutes
Join debate here: bit.ly/10VRMc1
Follow #DataScienceProfession on Twitter.
Join Gregory Piatetsky-Shapiro (KDnuggets), Eric Siegel (Predictive Analytics World) and Michael Walker (Rose Business Technologies) for a spirited discussion on data science as an independent profession with a code of conduct and self-regulation. Held on Google Hangout for interactive questions.
Most professions are regulated. In other professions the act of joining the profession is accompanied by a rite of passage, such as taking a pledge, symbolizing the entry of the initiate into a position of responsibility.
ACM, the leading organization of computing professionals, is considering The Pledge of the Computing Professional, which touches upon many themes relevant to Data Science. INFORMS has started Analytics Certification programs, which is voluntary.
Will there be a similar pledge for data scientists? Will there be a stronger regulation or certification of data scientists?
Michael argues that either data science becomes a profession and regulates itself or congress will impose draconian regulations that defeat the purpose of data science: to make life, business and government better. He has drafted a proposed "Data Science Code of Professional Conduct". See: bit.ly/YbsjXR. Also read Big Data Is Opening Doors, but Maybe Too Many and Why the collision of big data and privacy will require a new realpolitik.
On the other hand, a recent KDnuggets Poll (March 2013) had a majority of data scientists against a pledge.
Gregory Piatetsky-Shapiro, @kdnuggets, is the Editor of KDnuggets, a leading site on Analytics, Big Data, Data Mining, and Data Science. He is also a well-known consultant in Analytics and Data Mining. Gregory is a co-founder of KDD (Knowledge Discovery and Data mining conferences) and SIGKDD association for Knowledge Discovery and Data Mining. He served as SIGKDD Chair 2005-2009. He previously led data mining and consulting groups at GTE Labs and 2 start-ups.
Eric Siegel, PhD, founder of Predictive Analytics World and Text Analytics World, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. Eric is a former Columbia University professor who used to sing educational songs to his students, and a renowned speaker, educator and leader in the field.
Michael Walker is a managing partner at Rose Business Technologies, a professional technology services and systems integration firm. He leads the Data Science Professional Practice at Rose. Mr. Walker is the author of a proposed "Data Science Code of Professional Conduct". He speaks and writes frequently about data science and is writing a book on Data Science Strategy for Business. Learn more about the Rose Data Science Professional Practice at bit.ly/10TgVHG.