糖心原创

Tuesday 14 January to Thursday 19 February 2025  

  
Data Fest is the Researcher Academy’s series of specialist workshops, seminars, and discussions designed to help researchers develop key data skills, expand their knowledge, and build connections in a fast-evolving landscape. These sessions, delivered by experts from across the university and the UK Data Service, will provide researchers with the skills and support to advance their research.    

This series features essential sessions for all researchers, covering everything from creating effective data management plans and sharing research data to harnessing the power of machine learning and generative AI tools like ChatGPT and Azure AI Services.

Featured Sessions:

• AI4Green: Using AI-Enabled Electronic Lab Books (New course!)
  Presenter: Professor Jonathan Hirst
  
  Discover how AI and digital tools are revolutionizing research sustainability in this session. Witness a live demo of the AI4Green electronic lab notebook and explore how machine learning supports sustainable chemistry practices.

• Explore Digital Twins: Personalised Medicine and the Power of Emulation (New course!)
  Presenter: Dr. Chris Lanyon
  
  Learn how computer model emulation and digital twins are transforming personalized medicine. This session focuses on cutting-edge applications like personalized cardiac models.

• Grant Writing with AI (New course!)
  Presenter: Dr. George Gordon
  
  Revolutionize your grant-writing process with AI! In this short webinar, discover how to integrate AI tools to streamline and enhance your applications.

• Master Custom Vision with Azure AI (New course!)
  Presenter: Ola David
  
  Explore how to use Azure AI Services to run custom vision tasks. This 2-hour webinar offers hands-on experience with prewritten code, making it easy to bring your ideas to life.

• Responsible Data Governance: Ethics in the Digital Age
  Presenters: Professors Elvira Perez Vallejos and Bernd Stahl
  
  Join this interactive workshop to delve into ethical data practices. Learn about the AREA 4Ps Framework, tackle topics like bias and privacy, and gain practical skills using the RRI cards tool. Perfect for researchers seeking to lead with ethical digital practices.

• Introduction to AI and Machine Learning for Researchers
  Presenter: Ola David
  
  Dive into the world of machine learning in this beginner-friendly course. Discover how statistics and computer science combine to uncover patterns in data, explore key concepts and models, and see how these techniques can elevate your research.

• An Introduction to the UK Data Service
  Presenters: Dr. Jennifer Buckley and Alle Bloom
  
  Unlock the UK’s largest collection of social and economic data. This interactive session will guide you through accessing, analyzing, and visualizing datasets, providing you with the tools to choose the right data for your research.

• Foundations of Research Data Management
  Presenters: Jane Grogan and Adam Plumbley
  
  Enhance your research with effective data management skills! This introductory course covers data organization, compliance, and best practices across the entire data lifecycle.

• Generative AI in Higher Education: Enriching Digital Literacy
  Presenter: Dr. Klaus Mundt
  
  Explore the role of generative AI in academic writing in this insightful session. Learn how to responsibly integrate tools like ChatGPT into your research, understand their ethical implications, and gain a deeper understanding of this transformative technology.

糖心原创 researchers are invited to visit the  SharePoint page (internal access only) to view the full programme and register for sessions.