Data Methods Initative

Empowering social science research with data-driven methods.

An academic initiative empowering social scientists to apply data-driven methods for analyzing media, making advances like machine learning and generative AI accessible.

Join our upcoming seminars Learn more about us

Data driven approaches to media analysis

Data-Augmented Ethnography * Network Analysis * Object Detection * Sentiment Analysis * Transformer Models * Emotion Detection * Computer Listening * Image Caption *

Text Analysis * Computer Vision * Topic Models * Supervised Learning * Image Classification * Semantic Similarity * Word Embeddings * Supervised Learning

Text Analysis * Computer Vision * Topic Models * Supervised Learning * Image Classification * Semantic Similarity * Word Embeddings * Supervised Learning *

About the initiative

The Data Methods Initiative is a collaborative academic group committed to fostering innovation in social science research.

We aim to strengthen methodological competencies, especially among early-career researchers, and promote the diversity of methods used in the social sciences.

The challenges of today’s world are increasingly complex. As social scientists, we must adopt innovative tools and fresh perspectives to address them. Advancements in machine learning and generative AI have made methods like computational linguistics, computer vision, and machine listening more accessible, accurate, and faster to apply, opening up new opportunities for our research.

Our work centers on studying media, including the analysis of text, images, videos, and audio, to uncover insights that inform and transform our understanding of the social world.

As an interdisciplinary group, we foster collaborations between researchers with diverse backgrounds and complementary skills. We explore applications across a range of fields, including business and organizational studies, economics, information systems, law, media and communication studies, psychology, political science, sociology, and more. By combining expertise, we aim to develop new methods and ideas to tackle the most pressing questions in social science research.

Supporting Institutions

What we do

Collaborate, learn and innovate with us

Seminars

Online talks showcasing data methods with a behind-the-scenes look at their application.

More about our seminars

PhD Courses

Specialized courses for PhD students.

More about our courses

Workshops

Hands-on workshops for researchers. More information coming soon.

Our seminars

Join us for a behind-the-scenes look at research methods in action

Upcoming

Simon Lindgren

04/06/2025

1:15 pm – 2:45 pm CET

Behind the scenes of digital climate disinformation: methods for detecting communities and tracing information flows

Upcoming

Simona Bisiani

01/10/2025

1:15 pm – 2:45 pm CET

Towards Efficient and Accessible Geoparsing of Local Media: A Benchmark Dataset and LLM-based Approach

Upcoming

Qinfeng Zhu

05/11/2025

1:15 pm – 2:45 pm CET

Linking individual, meso, and macro data: A mixed-method approach to survey-based research

Through computational analysis, social scientists can uncover latent structures within large datasets, revealing new dimensions of social phenomena.

The team

Organizing team of the Data Methods Initiative

Marcel Garz

Associate Professor,

Jönköping International Business School

Thomas Cyron

Assistant Professor,

Jönköping International Business School

Sumaya Hashim

Assistant Professor,

Jönköping International Business School

Jukka Huhtamäki

Senior Research Fellow,

Tampere University

Maria Arango-Kure

PhD Researcher

Jönköping International Business School

Jason Burton

Assistant Professor

Copenhagen Business School

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Empowering social science research with data-driven methods.

The Data Methods Initiative is a collaborative academic group committed to fostering innovation in social science research.

Collaborate, learn and innovate with us

Seminars

PhD Courses

Workshops

Join us for a behind-the-scenes look at research methods in action

Behind the scenes of digital climate disinformation: methods for detecting communities and tracing information flows

Towards Efficient and Accessible Geoparsing of Local Media: A Benchmark Dataset and LLM-based Approach

Linking individual, meso, and macro data: A mixed-method approach to survey-based research

Organizing team of the Data Methods Initiative

Marcel Garz

Thomas Cyron

Sumaya Hashim

Jukka Huhtamäki

Maria Arango-Kure

Jason Burton

Sign up to receive the details for our upcoming seminars

Contact us to join the initiative