KDD 2020 San Diego
2nd Workshop on Data Science Standards – What do you need to know as a Data Scientist?
Special Workshop Theme: Training Data Scientists of the Future
Workshop Date/Time: August 24, 2020, 1pm-5pm PDT
Background, Definition and Audience of the Workshop
As the demand for data science talent has exploded so have the efforts to train data scientists. There are many programs and formats for training Data Science, but these seem to have a very wide variance in what they target and what they emphasize in the training. They range from short online courses to full-time undergraduate and graduate degree programs. As there is not yet an agreed-upon definition of who data scientists are and which skills and knowledge they need to have, designing training programs or developing curriculae have become challenging. On the other hand, organizations in industry are often not able to articulate their expectations from data science talent clearly, which in turn makes hiring, managing and creating development programs for data professionals inefficient and ineffective.
The first workshop in this series was held at KDD-2019, organized by the Initiative for Analytics and Data Science (IADSS), where contributors discussed challenges in defining data related roles and ways to standardize skills and knowledge required for a variety of roles in analytics and data science space. The topic of training data scientists has been a major topic over the last year, and an important area of coverage for Harvard Data Science Review (HDSR), the new open access platform of Harvard Data Science Initiative that features foundational thinking, research milestones, educational innovations, and major applications in data science. Our proposed workshop, co-chaired by Usama Fayyad, Co-Founder of IADSS and Xiao-Li Meng, Founding Editor-in-Chief of HDSR, aims to discuss how we can better train data scientists with the skills and knowledge that the industry needs and explores how the industry and academia can collaborate to make sure we’re not only meeting the demands of today but also preparing for the changes and challenges of the future.
This workshop has the goal of sharing detailed findings from IADSS research on industry needs and skill-set requirements for data science professionals, discuss the various ways universities and training organizations are currently approaching data science education and explore how we improve effectiveness through industry and academia collaboration. We aim to have participation and contribution by administrators and educators from leading institutions as well as industry managers and executives responsible for managing, hiring and training data science talent, in order to gain insight into both supply and demand side of the data science profession. We will also invite representatives of training boot camps, and other training programs, as well as representatives on in-house training programs in industry. In order to achieve intended aim, workshop will be held as a half-day working meeting with short talks, invited panels and discussion sessions to plan for future steps in the topic.
Attendance at First Workshop: The first workshop help at KDD-2019 attracted over 200 attendees and involved very active and vigorous discussion of the hot topics. The program for the first workshop is listed on the KDD-2019 web site.
Agenda of the Workshop at KDD 2020
Workshop Date: August 24, 2020