Accepted Papers

Accepted submissions will be archived here.

Attending authors, please register via the CSCW registration page – you should receive an email with the workshop invited attendee registration code.

The affiliation stated for each paper is that of the first (or attending) author. Further details and contact information are included in the papers.

Invitee Institution Paper Title (reading group)
Jaime Snyder
University of Washington
Values in the Design of Visualizations

(reading group: 1)

Brian C. Keegan
Harvard Business School
Actually, It’s About Ethics in Computational Social Science: A Multi-party Risk-Benefit Framework for Online Community Research

(reading group: 2)

Katie Shilton
University of Maryland College Park
Empirical Ethics: Studying Values in Data Science Practice

(reading group: 2)

David Socha
University of Washington Bothell
Wide Field Ethnography and Exploratory Analysis of Large Ethnographic Datasets

(reading group: 3)

Nikki Usher
George Washington University
Developing Human-Centered Methods for Studying Journalism’s Big Data

[summary slide]

(reading group: 4)

Sebastian Benthall
University of California Berkeley
The Human is the Data Science

(reading group: 7)

Erin Smith Crabb
University of Maryland College Park
Best Practices for Data Set Development in Authorship Attribution and Beyond

(reading group: 5)

Marc Ericson C. Santos
Nara Institute of Science and Technology
On Usability Analytics and Beyond with Human-Centered Data Science

(reading group: 5)

Andrew Schrock
Rogue Academic
On Researching Data and Communication

(reading group: 6)

Nathaniel Poor
Independent Researcher
When The Data You Want Comes From Hackers, Or, Looking A Gift Horse In The Mouth

[summary slide]

(reading group: 2)

Sayamindu Dasgupta
MIT Media Lab
Learning With Data: Designing for Community Introspection and Exploration

(reading group: 8)

Shion Guha
Cornell University
Connecting Grounded Theory and Machine Learning: Proposing Research Directions in Human Centered Data Science

(reading group: 3)

Syed Ali Hussain
Michigan State University
Visual Illness Narratives of Depression

(reading group: 7)

Nicholas Adams
University of California Berkeley
Scaling Up Content Analysis: Crowd-Coding Text Units

(reading group: 8)

Yurong He
University of Maryland
Collaborative Big Data Sharing Through A Linked System

(reading group: 6)

Jim Maddock
Northwestern University
Two is Better Than One: A Mixed Methods Approach to Human-Centered Data Science

(reading group: 5)

Elena Glassman
MIT CSAIL
Scaling Up Qualitative Data Analysis With Interfaces Powered by Interpretable Machine Learning

(reading group: 1)

David Bamman
University of California Berkeley
Interpretability in Human-Centered Data Science

(reading group: 3)

Anissa Tanweer
University of Washington
Data Empathy: A Call for Human Subjectivity in Data Science

(reading group: 7)

Jed R. Brubaker
University of Colorado Boulder
Understanding Human-Data Relationships: Data as Personhood

(reading group: 6)

Casey Fiesler
University of Colorado Boulder
Understanding Human-Data Relationships: Data as Property

(reading group: 6)

Marina Kogan
University of Colorado Boulder
Data Science and Contextual Behavior: The Case of Crisis Informatics

(reading group: 4)

Margaret Drouhard
University of Washington
Critical Actor-Network Theory: Hybrid Theory for Visual Analytics

(reading group: 1)

Stevie Chancellor
Georgia Institute of Technology
Social Media Big Data as a “Sensor” of Mental Well-being: Ethical Insights and Challenges

(reading group: 8)

Jana Diesner
University of Illinois at Urbana Champaign
Seeing the forest for the trees: considering applicable types of regulation for the responsible collection and analysis of human centered data

(reading group: 2)

Alex Leavitt
University of Southern California
Human-Centered Data Science: Mixed Methods and Intersecting Evidence, Inference, and Scalability

(reading group: 5)

Marisa Leavitt Cohn
IT University of Copenhagen
A Feminist Intervention into Cartography of Controversies: Digital Methods as Humanist Data Science

(reading group: 4)

Meg Young
University of Washington
A Human-Centered Approach to Data Privacy

(reading group: 7)

Andrea K. Thomer
University of Illinois at Urbana Champaign
Taxonomic Work as Information Work: Design for Ontological Refactoring

(reading group: 3)

Sean Goggins
University of Missouri
Online Health Support Communities: A Domain Specific Example of the Messiness of Human Centered Data Science

(reading group: 4)

Julie Barnett
University of Bath
Human Centered Data Science: Considerations from a Policy Perspective

(reading group: 4)

Jordan Bates
Arizona State University
Student Essay / Statement of Interest

(reading group: 1)

Brittany Fiore-Gartland
University of Washington
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 7)

Cecilia Aragon
University of Washington
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 1)

C.J. Hutto
Georgia Institute of Technology
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 4)

Gina Neff
University of Washington
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 5)

Joseph Bayer
University of Michigan
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 8)

Andy Echenique
University of California San Diego
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 3)

Yun Huang
Syracuse University
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 2)

Jinyoung Kim
University of Maryland College Park
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science
Wanli Xing
University of Missouri
Workshop Organizer: Developing a Research Agenda for Human-Centered Data Science

(reading group: 6)

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