Learning Hub

Welcome to Our Learning Hub!

At DATAMIND, we're committed to enhancing knowledge and empowering people in the field of Mental Health Data Science and beyond. Our Learning Hub offers a diverse array of resources tailored to inspire, educate, and enhance your skills.

Discover our range of courses designed to deepen your understanding and expertise in Mental Health Data Science. From foundational principles to advanced techniques, our courses cater to learners at every stage of their journey.

Explore our collection of past workshop recordings, developed in collaboration with MQ. Delve into topics such as R, Python, Data Management, and Epidemiological Methods using R, as shared by experts, innovators, and practitioners.

Additionally, access recordings from our Data Science meetings in partnership with MQ. These sessions provide a platform for the community to exchange insights and best practices on diverse topics including co-producing studies, recent findings in mental illnesses, panel discussions on mental health missions and digital technologies, collaboration opportunities in longitudinal research, enhancing data ethics and much more.

Join us on a journey of discovery and growth. Explore our Learning Hub to unlock new possibilities and make a positive impact in your field and beyond.

Courses

Machine Learning in Mental Health

What is machine learning in mental health?Machine learning is a subfield of artificial intelligence (AI) and data science that focusses on algorithms able to automatically extract knowledge from data. When…
Read more
Resources and Guides

Lived experience voices

Development Design and Planning  Patient and public involvement (RAG) throughout planning phase of research study, development of the research question, scoping review design, recruitment, PPIE element in study, and dissemination…
Read more

Episode 1: Origins of DATAMIND

In our very first episode, we start at the beginning – exploring the origins, impact, and vision of DATAMIND, the UK Hub for Mental Health Data Science. With DATAMIND co-directors, Professors Ann John and Robert Stewart. 

Discover our range of courses designed to deepen your understanding and expertise in Mental Health Data Science. From foundational principles to advanced techniques, our courses cater to learners at every stage of their journey. 

Courses

Machine Learning in Mental Health

What is machine learning in mental health?Machine learning is a subfield of artificial intelligence (AI) and data science that focusses on algorithms able to automatically extract knowledge from data. When…
Read more
Courses

Data Literacy Short Course

Public involvement is vital in health research as lived experience can drive forward change and improvement in our healthcare and services. Knowledge of research processes and how data is collected,…
Read more

Explore our collection of past workshop recordings, developed in collaboration with MQ. Delve into topics such as R, Python, Data Management, and Epidemiological Methods using R, as shared by experts, innovators, and practitioners.

Access recordings from all our conferences, including our Data Science meetings in partnership with MQ. These sessions provide a platform for the community to exchange insights and best practices on diverse topics, including co-producing studies, recent findings in mental illnesses, panel discussions on mental health missions and digital technologies, collaboration opportunities in longitudinal research, enhancing data ethics, and much more. 

Welcome to the DATAMIND Resources and Guides section – your destination for straightforward support. Whether you’re puzzled by research terminology or seeking strategies to engage patients and the public, we’re here to provide direction. Our user-friendly resources encompass everything from glossary definitions to engaging methods.

Welcome to PODMIND – the podcast where we explore the vital intersection of data science and mental health research, policy, and practice. Each episode shines a light on the inspiring people driving change in this field.

Hosted by Marcos del Pozo Banos, FAIR Curated Mental Health Data Co-Lead at DATAMIND and Senior Lecturer in Mental Health Data Science at Swansea University Medical School.

Join us each month as we uncover fresh insights, stories, and innovations at the crossroads of data science and mental health. Episodes are released monthly and can be found below – or subscribe to us on Spotify and YouTube so you never miss an episode!

Episode 5: Digital Innovation in Mental Health

Marcos is joined by Dr Pauline Whelan to explore how digital innovation is turning mental health research into real-world impact and strengthening collaboration across academia, industry and lived experience.

Episode 4: The value of data-driven partnerships

Marcos is joined by Professor Andrew McIntosh to explore how the Mental Health Platform is transforming access to data and collaboration to accelerate mental health research across the UK.

Episode 3: AI & the future of mental health care

Marcos is joined by Professor Daniel Joyce to explore how AI and NLP can turn mental health data into actionable insights while balancing technology with human care.

Episode 2: Lived Experience shaping mental health research

Marcos is joined by DATMIND LEAG members Jan Speechley and Michael McTernan to explore how lived experience drives more ethical, inclusive, and impactful mental health research.

Episode 1: Origins of DATAMIND

In our very first episode, we start at the beginning – exploring the origins, impact, and vision of DATAMIND, the UK Hub for Mental Health Data Science. With DATAMIND co-directors, Professors Ann John and Robert Stewart. 

Skip to content