Gina Neff

Gina Neff

University of Oxford

H-index: 28

Europe-United Kingdom

About Gina Neff

Gina Neff, With an exceptional h-index of 28 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of responsible ai, innovation, work and organizations, data science, collaboration.

His recent articles reflect a diverse array of research interests and contributions to the field:

The challenge of repurposed technologies for youth: Understanding the unique affordances of digital self-tracking for adolescents

A sociotechnical audit: Assessing police use of facial recognition

Rethinking affordances for human-machine communication research

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data

Interrogating human-centered data science: Taking stock of opportunities and limitations

The effects of AI on the working lives of women

Human-centered data science: an introduction

Nudging Behavior Change: Using In-Group and Out-Group Social Comparisons to Encourage Healthier Choices

Gina Neff Information

University

Position

Internet Institute & Department of Sociology

Citations(all)

6744

Citations(since 2020)

3738

Cited By

4558

hIndex(all)

28

hIndex(since 2020)

25

i10Index(all)

46

i10Index(since 2020)

36

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Gina Neff Skills & Research Interests

responsible ai

innovation

work and organizations

data science

collaboration

Top articles of Gina Neff

Title

Journal

Author(s)

Publication Date

The challenge of repurposed technologies for youth: Understanding the unique affordances of digital self-tracking for adolescents

new media & society

Jaimie Lee Freeman

Gina Neff

2023/11

A sociotechnical audit: Assessing police use of facial recognition

Evani Radiya-Dixit

Gina Neff

2023/6

Rethinking affordances for human-machine communication research

The SAGE handbook of human-machine communication

Peter Nagy

Gina Neff

2023

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data

Kathleen Pine

Claus Bossen

Naja Holten Møller

Milagros Miceli

Alex Jiahong Lu

...

2022/4/27

Interrogating human-centered data science: Taking stock of opportunities and limitations

Anissa Tanweer

Cecilia R Aragon

Michael Muller

Shion Guha

Samir Passi

...

2022/4/27

The effects of AI on the working lives of women

Clementine Collett

Livia Gouvea Gomes

Gina Neff

2022/3/8

Human-centered data science: an introduction

Cecilia Aragon

Shion Guha

Marina Kogan

Michael Muller

Gina Neff

2022/3/1

Nudging Behavior Change: Using In-Group and Out-Group Social Comparisons to Encourage Healthier Choices

Blake M. DiCosola III

Gina Neff

2022/4/29

Bringing human-centredness to technologies for buildings: An agenda for linking new types of data to the challenge of sustainability

Clara Vite

Anca-Simona Horvath

Gina Neff

Naja L Holten Møller

2021/7/11

Participatory threat modelling: Exploring paths to reconfigure cybersecurity

Julia Slupska

Scarlet Dawson Dawson Duckworth

Linda Ma

Gina Neff

2021/5/8

Reconfigure: feminist action research in cybersecurity

Julia Slupska

Scarlet Dawson Duckworth

GS Neff

2021/2/4

messyBIM: augmenting a building information model with messy talk to improve a buildings’ design process

Anca-Simona Horvath

Clara Vite

Naja Holten Møller

Gina Neff

2021

Can workplace tracking ever empower? Collective sensemaking for the responsible use of sensor data at work

Proceedings of the ACM on human-computer interaction

Naja Holten Møller

Gina Neff

Jakob Grue Simonsen

Jonas Christoffer Villumsen

Pernille Bjørn

2021/7/13

Three pathways to highly energy efficient buildings: assessing combinations of teaming and technology

Journal of Management in Engineering

Hoda Homayouni

Carrie Sturts Dossick

Gina Neff

2021/3/1

AI@ work: Artificial intelligence in the workplace

Gina Neff

Margaret McGrath

Nayanatara Prakash

2020/8/14

Using social comparisons to facilitate healthier choices in online grocery shopping contexts

Blake M DiCosola III

Gina Neff

2020/4/25

Who does the work of data?

Interactions

Naja Holten Møller

Claus Bossen

Kathleen H Pine

Trine Rask Nielsen

Gina Neff

2020/4/17

From bad users and failed uses to responsible technologies: A call to expand the AI ethics toolkit

Gina Neff

2020/2/7

Studying AI in its Social Context

Gina Neff

2020

Interrogating Data Science

Michael Muller

Cecilia Aragon

Shion Guha

Marina Kogan

Gina Neff

...

2020/10/17

See List of Professors in Gina Neff University(University of Oxford)

Co-Authors

H-index: 51
John E. Taylor

John E. Taylor

Georgia Institute of Technology

H-index: 51
David Stark

David Stark

Columbia University in the City of New York

H-index: 43
Cecilia Aragon

Cecilia Aragon

University of Washington

H-index: 25
Shion Guha

Shion Guha

University of Toronto

H-index: 23
Tim Jordan

Tim Jordan

University College London

H-index: 22
Carrie Sturts Dossick

Carrie Sturts Dossick

University of Washington

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