Harvard Data Science Review Special Issue
A comprehensive two-day webinar series featuring leading experts discussing data democratization, discovery methods, and practical implementation strategies for "Democratizing Data: Discovering Data Use For Research And Policy".
Event Overview
The Harvard Data Science Review Special Issue webinar series brought together leading experts, researchers, and practitioners to explore the critical topic of democratizing data. Over two comprehensive days, participants engaged with cutting-edge research, practical implementation strategies, and innovative approaches to data discovery and utilization.
This event featured presentations from distinguished speakers across academia, government agencies, and industry, covering topics from data value creation to search methodologies, practical implementation lessons, and building collaborative communities around data democratization.
Recordings and Presentations Available
View the recordings and presentation slides from the Harvard Data Science Review's Democratizing Data webinar series below.
Day 1 Sessions
May 21, 2024From the Editors
A Panoramic View of the Special Issue
The Vision of Democratizing Data
The New Importance of Data for Evidence Building
The View From Four Statistical Agencies
Joe Parsons - National Agricultural Statistics Service, U.S. Department of Agriculture
The Importance of Philanthropic Foundations in Democratizing Data
Daniel Goroff - Alfred P. Sloan Foundation
Stu Feldman - Schmidt Sciences
The Value of Data
An Invisible Hand for Creating Value From Data
Alfred Spector - Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
A Mapping Lens for Estimating Data Value
Search Methods
Discovering Data Sets Through Machine Learning: An Ensemble Approach to Uncovering the Prevalence of Government-Funded Data Sets
Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search
Day 2 Sessions
May 22, 2024Discovery Methods
Discovering Data Sets in Unstructured Corpora: Discovering Use and Identifying New Opportunities
Adel Alaeddini - School of Data Science, The University of Texas at San Antonio (UTSA)
Searching for How Data Have Been Used: Intuitive Labels for Data Search and Discovery
Practical Implementation
Turning Visions Into Reality: Lessons Learned From Building a Search and Discovery Platform
A Practical Use Case: Lesson Learned From Social Science Research Data Centers
Christian Hirsch - Deutsche Bundesbank
Creating Engagements: Bringing the User Into Data Democratization
Building Collaborative Communities
On Democratizing Data: Diminishing Disparity and Increasing Scientific Productivity
The Future of Data in Research Publishing: From Nice to Have to Need to Have?
Building Trust: Data Metrics as a Focal Point for Responsible Data Stewardship
Iratxe Puebla - DataCite