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Dr Scott A. Hale

Associate Professor, Senior Research Fellow
Scott Hale

Dr Scott A. Hale

Associate Professor, Senior Research Fellow
(he/him)
OII / Fisher Studios

About

Dr Scott A. Hale is Associate Professor and Senior Research Fellow at the Oxford Internet Institute, where he leads the Equitable Access to Quality Information Lab (eaqilab). His research develops and applies computational and social science methods to understand how digital technologies, such as social media, large language models, and algorithmic systems shape society, focusing on how people discover, evaluate, and use information online to make important life decisions.

Scott is also Director of Research at Meedan, a nonprofit technology organisation developing tools to support digital literacy and civic engagement. He has worked internationally, including in Japan, and is committed to mentoring early-career researchers. In 2022, he received a Teaching Excellence Award from the University of Oxford’s Social Sciences Division, recognizing his outstanding contributions to teaching and supervision.

Research Interests

LLM alignment, bias, bilingualism, applications of machine learning, natural language processing (NLP)

Positions at the OII

  • Associate Professor, December 2020 -
  • Social Data Science MSc Programme Co-Director, January 2019 - December 2020
  • Senior Research Fellow, September 2018 -
  • Social Data Science Programme Director, February 2017 - December 2018
  • Senior Data Scientist and Research Fellow, June 2016 - August 2018
  • Data Scientist, January 2015 - May 2016
  • DPhil Student, October 2010 - January 2015
  • Research Assistant, May 2010 - December 2014
  • MSc Student, October 2009 - August 2010

Research

Integrity Statement

I currently hold an external funded position working as Director of Research at Meedan, a global technology not-for-profit. In the past five years my work has been financially supported by UK Research and Innovation, the US National Science Foundation, the Omidyar Network, the Alan Turing Institute, the UK Defence Science and Technology Laboratory, the Lloyd’s Register Foundation, the Volkswagen Foundation, DSO National Laboratories, Meta, Google, and Twitter. My research has included collaborative grants with Oxfordshire County Council, BT, Meta, Meedan, and a youth-support charity.  I have served in an advisory capacity to the Daily Edit, Meedan, the UK Government, and Town Square News in the past five years.

News & Press

Teaching

Current Students

Past Students

Silhouette

Owen Henkel

DPhil student, Department of Education, University of Oxford

Silhouette

Sherif ElRakabawy

Current Courses

Social Data Science in Practice

The course will teach computational complexity and how to profile and increase the computational efficiency of Python code. It will also cover parallel and distributed computing approaches, and discuss data storage and retrieval techniques.

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