Data Science Workshop Series

Data Science Workshop Series brings together researchers, academics and students from across the University to showcase how Data Science can support our strategic goals.

DS4 Workshop Series

The 'Data Science for ...' series of workshops aims to fulfill our commitment to raise Data Science awareness and foster relevant collaborations addressing pressing societal challenges. The one day workshops are planned around the central theme of Data Science in the service of the University's strategy. In each edition we set one of the strategic goals of the University as a focus area, and invite researchers, academics, and students from across the University to showcase their work and ideas on the topic to raise awareness and generate conversations and collaborations.

Upcoming workshops

Data Science for Human Rights

Previous editions of the workshop

Data Science for Mental Health and Wellbeing

Mental health refers to an individual's capacity to feel, think, and act in ways to achieve a better quality of life while respecting personal, social, and cultural boundaries [Wikipedia]. In recent years poor mental health has become a global concern, with about 970 million people worldwide suffering from a mental disorder in 2019, most commonly anxiety and depression. Understanding the phenomenon and tackling the challenge of the globally worsening wellbeing is a priority. It is a complex problem since mental health is influenced by a range of biological, demographic and environmental factors, and therefore, we hope to bring together students and researchers from across a range of disciplines, to explore the application and applicability of Data Science in this area.

This workshop took place on Monday the 11th of March 2024 in the Bayes Centre.

Time	Presenter	Title
9:15	Sohan Seth	Welcome
9:30	Karthik Mohan	Modeling mental health trajectories during the COVID-19 pandemic using the Understanding Society data
9:45	Emma Gale	The role of mental well-being in the development of poor sleep and obesity in adolescents
10:00	Jasmin Wertz	Improving the early identification of mental health problems using routinely collected school data
10:15	Peggy Series	The emerging field of Computational Psychiatry
10:30	- - -	Coffee break
11:00	Kelly Fleetwood	Using electronic health records to understand relationships between mental and physical health
11:15	Pippa Thomson	Using Omics to understand environmental risk factors for depression
11:30	Suryansh Manocha	Causality Methods for Dementia Risk Inference
11:45	- - -	Pitch Session
	Koraima Sotomayor Enriquez	Mentalization and emotion regulation in the daily life of young people
	Katie Marwick	Deep phenotyping of women with bipolar disorder approaching the menopause
	Lisa Scholin	Diseases of despair and Emergency Services –Describing presentations, EStimating risk and Predictors, Analysing key Intervention points, and making Recommendations for commissioning (DESPAIR)
	Jasmeen Kanwal	Data Education in Schools
	Lysimachos Zografos	Pitch support by EI/Wellcome iTPA team
12:00	---	Lunch
13:00	Claire Anne Banga	Leveraging ML/AI to Tackle Mental Health & Drug Overdoses
13:15	Robin Flaig	The UK Longitudinal Linkage Collaboration: a trusted research environment for the longitudinal research community
13:30	Clare Llewellyn	Monitoring mental health and psychosocial wellbeing using big data sources
13:45	---	Short Talks
	Kasia Banas	Considering wellbeing in data science teaching
	Sohan Seth	Pollution, Mental Health, Remote Sensing, AI
13:55	Daga Panas	Wrap up

Data Science for Sustainable Development

The workshop aims to bring together researchers and students from a range of disciplines and will focus on the application and applicability of Data Science tools and practices in the pursuit of Sustainable Development Goals (SDGs). SDGs are 17 interrelated objectives formulated by the United Nations in 2015 to shape a sustainable future for the planet and the people. Our hope is to facilitate fruitful discussions among the academic community and aid in further development of cross-disciplinary research advancing this fundamentally important agenda by sharing data, methods and knowledge.

The event was hosted on 06.03.2023 at the Informatics Forum.

Time	Presentation	Title
9:00 AM	Sohan Seth	Introduction
9:15 AM	Jamie Cross	Introducing the Edinburgh Earth Initiative
9:25 AM	Ram Ramamoorthy	AI for next-generation and sustainable mobility
9:35 AM	Diego Oyarzun	Introducing The Science for Sustainability Hub
9:45 AM	Maximilian Parzen	AI and digital twins for advancing net-zero energy system planning
9:55 AM	Chris Banks	Boosted Regression for augmenting Bovine Tuberculosis test sensitivity
10:05 AM	Break
10:40 AM	Daga Panas	Data Science Unit for Science, Health, People and Environment
10:50 AM	Fraser Macdonald	Data for Good through Global Collaboration
11:00 AM	Brian Sellar	Capturing data from high-energy coastal environments for reliable and sustainable offshore renewable energy production
11:10 AM	Joe Kennedy	Modelling the health impacts of reducing meat consumption in the United States
11:20 AM	Desen Kirli	Data and Digitalisation for Net Zero
11:30 AM	DavidRush	Fires in informal settlements - my data needs
11:35 AM	Jasmeen Kanwal	Data Education in Schools
11:40 AM	John Morrissey	AI Application in the Particulate Products Manufacturing Industry
11:45 AM	Thomas Reynolds	Resilience of Traditional Buildings in Madagascar to Cyclone Winds
11:50 AM	Eleojo Abubakar	Socioeconomic determinants of inequality in subjective well-being in neighbourhoods and cities in Africa

12:00 PM	Lunch Break
1:00 PM	Karthik Mohan	Satellite Images 4 Sustainable Development
1:10 PM	Matjaz Vidmar	Sustainability in Open Engineering Practice
1:20 PM	Sergio Lopez Dubon	Data-driven methods on Tidal Blade testing
1:25 PM	Xue Li	Detecting false claims about climate change: an approach based on knowledge graph
1:40 PM	Breakout Session
2:40 PM	Wrap up

This article was published on 25 Mar, 2024