Update

Author: RSTZZZ

_research_directions/poli-sci.md

@@ -26,7 +26,7 @@ logos:
     name: IVADO
 ---
 
-The current digital age fundamentally changes how we as individuals and a society collect and distribute information. With these changes come powerful new approaches to influence the public agenda. However, the quality of shared information varies widely, and can have wide-reaching consequences. As the sophistication and accessibility of AI tools continue to expand, the authenticity of digital content has been increasingly called into question. Our team stands at the forefront of the challenge to safeguard digital space, as we assess the nature of content and how it proliferates online.
+The current digital age fundamentally changes how we as individuals and a society collect and distribute information. With these changes come powerful new approaches to influence the public agenda. However, the quality of shared information varies widely, and can have wide-reaching consequences. As the sophistication and accessibility of AI tools continue to expand, the authenticity of digital content has been increasingly called into question. Our team stands at the forefront of the challenge to safeguard digital space, as we assess the nature of content and how it proliferates online. For more information check out our [a4.institute](https://www.ai4.institute/).
 
 # Selected Publications
 

_research_directions/temporal-graph-learning.md

@@ -7,7 +7,7 @@ header:
     overlay_image: /assets/images/research_directions/temporal-graph-learning.png
     overlay_css: "background-position: center; background-repeat: no-repeat; background-size: 40% 100%"
 one-liner: "How can we advance machine learning methods to more effectively model and predict dynamic real-world networks and relationships within these time-evolving graphs?"
-excerpt: "Our team comprises experts in AI, data mining, social science, and public health, dedicated to advancing the analysis, prediction, and understanding of dynamic networks. We specialize in developing innovative models and creating realistic, robust benchmarks for state-of-the-art models and real-world applications of temporal graphs. Our work encompasses areas such as recommendation systems, fraud detection, disease modeling, and more."
+excerpt: "Our team specializes in developing innovative models and creating realistic, robust benchmarks for temporal graphs driven by applications in recommendation systems, fraud detection, disease modeling, and more."
 
 logos:
   - image: /assets/images/logo/CIFAR.png