Data Literacy at Scale

A Platform to Advance Data Literacy

Join the Harvard Data Science Initiative and The Institute for Experiential AI on Dec. 5 and 6, 2023 for this special, in-person event aimed at advancing data literacy among all parts of society. 

About Data Literacy at Scale

Data Literacy at Scale is a three-part event across two days and two campuses with a goal of providing a discussion platform to advance data literacy among all parts of society, and a special focus on schools and the workplace.

This event will bring together academicians, industry practitioners, government and NGO representatives who are passionate about and can advance data literacy in their respective focus areas. Attendees will share best practices and advance our collective awareness on challenges and potential solutions in building data literacy, a critical set of skills and knowledge in today’s digital economy.

Content directly from the event, and contributions from participants, will be considered for publication in the Harvard Data Science Review following a rigorous review process.

WHEN AND WHERE?

The event is comprised of three in-person components across two days. Note: there is not a virtual attendance option for this event, but select content will be shared at a later date.

• Tuesday, Dec. 5, 2023 at Harvard University: An invitation-only dinner reception with a short presentation.

• Wednesday, Dec. 6, 2023 – Morning at Northeastern University: A robust conference featuring keynotes and panel discussions. Location: Alumni Center (6th Fl), 716 Columbus Ave., Boston, MA 02120.

• Wednesday, Dec. 6, 2023 – Afternoon at Northeastern University: An invitation-only workshop to discuss different aspects of data literacy and drive content for Harvard Data Science Review.

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Workshop Co-chairs

Hamit Hamutcu, Senior Advisor of Strategy & Marketing, Institute for Experiential AI
Katie Malone, Director of Data Science at Tempus Labs

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About Our Sponsor

Liberty Source PBC combines state-of-the-art technology with human judgment and oversight so clients can realize the full benefit of their advanced technology investment. The human-in-the-loop approach achieves superior levels of accuracy compared to machine-only processes, and efficiency not possible with traditional manual operations.

The company’s flagship DataInFormation℠ suite of solutions provides image annotation, data labeling, computer vision calibration, NLP validation, prompt engineering, training data curation and related data optimization services.

With headquarters in Hampton, VA, the 100% U.S.-based team includes data engineers, data specialists, process engineers and project managers to provide clients with seamless, end-to-end secure solutions

As a Public Benefit Corporation and Certified “B” Corporation founded in 2014, the company actively recruits veterans and military spouses.