Erasmus+ Blended Intensive Program "Data Unlocked: Mastering Data Analysis Methods and Storytelling"
Apraksts
Invitation to Participate in
Data Unlocked: Mastering Data Analysis Methods and Storytelling
Organized at Vidzeme University of Applied Sciences, Valmiera, Latvia, from February 13 to February 14.
Event Objectives and Description
- Unlock the Power of Data: Explore how various quantitative and qualitative data analysis methods can be applied to the same dataset.
- Harness Artificial Intelligence: Learn how AI can support research endeavors.
- Tell Captivating Stories: Transform research findings into engaging narratives tailored for diverse audiences.
This hands-on program includes interactive workshops focused on:
- Quantitative and qualitative research methods.
- Research storytelling techniques.
- Research presentation skills.
Participants will work with publicly available public health data, offering a practical learning experience. Designed to enhance research expertise, the program welcomes students from diverse study fields and promotes a multidisciplinary approach to data analysis and storytelling.
Added Value
- Collaborative Teamwork: Work in team-based research projects, enhancing teamwork and collaboration skills.
- Interdisciplinary Perspectives: Students from various social sciences bring diverse viewpoints, enriching the learning process.
- Comprehensive Skill Development: Learn data collection, analysis, and presentation, advancing your ability to conduct responsible research.
Key Learning Outcomes
- Research Mastery: Gain practical insights into both qualitative and quantitative data analysis methods.
- Effective Storytelling: Develop the skills to present research results in a clear, engaging narrative.
- Critical Competences: Understand the strengths and limitations of different research methods and apply them confidently to independent research projects.
Application
Apply by December 27, 2024 here: https://forms.office.com/e/2d6YPZJyhr
Acceptance letters will be sent by January 8, 2025.
