Explore the plot here: https://terran.ai/collabs/scilifelab
The Challenge
SciLifeLab, a leading center for life sciences research in Sweden, recently recruited a new cohort of SciLifeLab Fellows and Data-Driven Life Science Fellows. These fellows are researchers at the forefront of innovative projects across multiple disciplines. However, SciLifeLab faced a challenge: traditional static presentations failed to effectively showcase the fellows and their diverse research topics while demonstrating how they fit within the broader research environment at SciLifeLab.
The goal was to create a comprehensive and engaging visualization that would not only highlight the new fellows but also provide a holistic view of the research landscape at SciLifeLab, making this data accessible and engaging for both internal and external audiences and using narrative storytelling to help navigate the data.
“The practice of life science is continuously becoming more data-dependent. The amount and complexity of data is growing exponentially, and more scientific discoveries are enabled when data is openly available to researchers across the world.”
SciLifeLab
The Solution
Terran proposed the development of a “scrollytelling” plot—a technique that combines scrolling with dynamic data visualization.
Key Features of Terran’s Solution:
- Dynamic Fellow Profiles: Each newly recruited fellow was featured with detailed profiles, including their research focus, contributions, and key achievements.
- Comprehensive Research Environment Overview: The tool also included profiles of other researchers at SciLifeLab, providing a complete view of the research environment. This helped in understanding how the fellows’ work fits into and enhances the overall research goals of SciLifeLab.
- Topic Grouping and Visualization: Fellows and researchers were grouped by research topics and personal characteristics, visually represented through interactive charts and graphs. This made it easy to see the distribution of expertise and to better understand the researchers in the community.
- Storytelling Insights: Leveraging AI, the tool turned publication data into engaging researcher summaries and allowed navigation through the data in an engaging way.
The Results
The implementation of Terran’s scrollytelling plot brought significant benefits to SciLifeLab:
- Increased Visibility for New Fellows: The engaging and dynamic presentation highlighted the research contributions and potential impact of the new fellow cohort.
- Enhanced Understanding of Research Topics: By grouping fellows and researchers by their topics, the tool provided a clear and organized view of SciLifeLab’s multidisciplinary research environment. This could be used in identifying synergies and collaborative opportunities.
- Engaging Presentation Format: The scrollytelling approach made the information accessible and engaging, capturing the interest of diverse audiences, including researchers, stakeholders, and the general public.
- Comprehensive Research Landscape: By including profiles of all researchers at SciLifeLab, the tool provided a holistic view of the research environment, showcasing the depth and breadth of expertise at the center.
Conclusion
By creating a dynamic, interactive, and engaging visualization, Terran helped SciLifeLab enhance the visibility of its researchers, foster collaboration, and celebrate the multidisciplinary nature of its research. This case study exemplifies how innovative data visualization techniques can transform the way research institutions showcase their work and engage with their audiences.
Explore the plot here: https://terran.ai/collabs/scilifelab
