PAST EVENT

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".

May 21-22, 2024
Virtual Event
Two-Day Webinar Series
Event Completed

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, 2024

From the Editors

A Panoramic View of the Special Issue
Xiao-Li Meng - Department of Statistics, Faculty of Arts and Sciences, Harvard University; Harvard Data Science Review, Harvard Data Science Initiative, Harvard University

The New Importance of Data for Evidence Building

The View From Four Statistical Agencies
Spiro Stefanou - Economic Research Service, U.S. Department of Agriculture
Joe Parsons - National Agricultural Statistics Service, U.S. Department of Agriculture
The Importance of Philanthropic Foundations in Democratizing Data
Jonathan Sotsky - Overdeck Family Foundation
Daniel Goroff - Alfred P. Sloan Foundation
Stu Feldman - Schmidt Sciences

The Value of Data

An Invisible Hand for Creating Value From Data
Julia Lane - New York University
Alfred Spector - Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
A Mapping Lens for Estimating Data Value
Abhishek Nagaraj - University of California Berkeley; National Bureau of Economic Research
Scale, Publishing, and Open Data
Ian Mulvany - BMJ Publishing Group Ltd

Day 2 Sessions

May 22, 2024

Discovery Methods

Discovering Data Sets in Unstructured Corpora: Discovering Use and Identifying New Opportunities
Nick Pallotta - National Agricultural Statistics Service, U.S. Department of Agriculture
Adel Alaeddini - School of Data Science, The University of Texas at San Antonio (UTSA)

Event Highlights

2
Days of comprehensive sessions
20+
Expert presentations
15+
Downloadable resources

Key Topics Covered

  • Data democratization vision and theory
  • Statistical agency perspectives
  • Philanthropic foundation roles
  • Data value creation methods
  • Machine learning for data discovery
  • Web-scale dataset search
  • Practical implementation strategies
  • Research data center lessons
  • User engagement approaches
  • Collaborative community building
  • Data publishing and stewardship
  • AI infrastructure democratization

Questions?

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