Adding funding, removing members from research directions

Author: RSTZZZ

_includes/logo-grid.html

@@ -4,10 +4,22 @@
 {% assign display_logos = include.logos | default: page.logos %}
 {% endif %}
 
+{% assign chunk_size = 4 %}
+{% assign total = display_logos | size %}
+{% assign remainder = total | modulo: chunk_size %}
+{% assign rows = total | divided_by: chunk_size %}
+{% if remainder != 0 %}
+{% assign rows = rows | plus: 1 %}
+{% endif %}
+
+{% for i in (0..rows) %}
+{% assign start = i | times: chunk_size %}
+{% assign logos_chunk = display_logos | slice: start, chunk_size %}
 <div class="logo-grid">
-    {% for logo in display_logos %}
+    {% for logo in logos_chunk %}
     <div class="logo-grid-item">
         <img src="{{ logo.image }}" alt="{{ logo.name }}">
     </div>
     {% endfor %}
-</div>
+</div>
+{% endfor %}

_research_directions/online-crime.md

@@ -9,6 +9,16 @@ header:
 excerpt: "Our team combines AI and criminology expertise to develop ethical, human-centered tools that detect and counteract sex trafficking. Driven by a commitment to responsible research, we aim to bridge technology gaps and support victims in Canada and beyond."
 one-liner: "How to analyze large online markets and build victim-centered tools for countering sex-trafficking?" 
 
+logos:
+  - image: /assets/images/logo/CIFAR.png
+    name: CIFAR
+  - image: /assets/images/logo/MILA.png
+    name: MILA
+  - image: /assets/images/logo/NSERC.png
+    name: NSERC
+  - image: /assets/images/logo/SAMSUNG.png
+    name: SAMSUNG
+
 ---
 
 {% include breadcrumbs.html %}
@@ -23,9 +33,8 @@ Sex trafficking impacts 4.8 million people globally and is a $99 billion USD ind
 
 {% include tech-transfer.html category="online-crime" %}
 
-# Core Team Members
+# Funding
 
-{% include team-gallery.html authors=site.data.authors research_direction="online-crime" render_current_role=true %}
+We acknowledge funding from the Canadian Institute for Advanced Research (CIFAR AI Chair Program), Mila - Quebec AI Institute, Natural Sciences and Engineering Research Council of Canada (NSERC), and Samsung. 
 
-## Past Members
-{% include team-gallery.html authors=site.data.authors research_direction="online-crime" render_current_role=false %}
+{% include logo-grid.html id="logos" %}

_research_directions/online-toxicity.md

@@ -36,6 +36,6 @@ Toxic and harmful speech online is more than just unpleasant; it has widespread
 
 # Funding
 
-We acknowledge funding from Ubisoft, the Canadian Institute for Advanced Research (CIFAR AI Chair Program), Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship-Doctoral (PGS D) Award. Funding from Ubisoft is governed through the Mitacs Accelerate Program.
+We acknowledge funding from Ubisoft, the Canadian Institute for Advanced Research (CIFAR AI Chair Program) and Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship-Doctoral (PGS D) Award. Funding from Ubisoft is governed through the Mitacs Accelerate Program.
 
 {% include logo-grid.html id="logos" %}

_research_directions/poli-sci.md

@@ -9,6 +9,21 @@ header:
 excerpt: Our team creates tools and datasets to foster a safe, open space for online public discourse. We hope to empower researchers and the public to understand and navigate today’s digital landscape.
 one-liner: How can we use AI to understand the exchange of information and ideas, and to create positive, societally beneficial information ecosystems?
 
+logos:
+  - image: /assets/images/logo/CIFAR.png
+    name: CIFAR
+  - image: /assets/images/logo/FRQSC.png
+    name: FRQSC
+  - image: /assets/images/logo/SSHRC.png
+    name: SSHRC
+  - image: /assets/images/logo/MILA.png
+    name: MILA
+  - image: /assets/images/logo/CANADA.png
+    name: CANADA   
+  - image: /assets/images/logo/UKRI.png
+    name: UKRI
+  - image: /assets/images/logo/IVADO.png
+    name: IVADO
 ---
 
 {% include breadcrumbs.html %}
@@ -23,10 +38,8 @@ The current digital age fundamentally changes how we as individuals and a societ
 
 {% include tech-transfer.html category="poli-sci" %}
 
+# Funding
 
-# Core Team Members
+We acknowledge funding from the Canadian Institute for Advanced Research (CIFAR AI Chair Program), the Fonds de recherche du Québec – Société et culture (FRQSC), the Social Sciences and Humanities Research Council (SSHRC), Mila - Quebec AI Institute,the Government of Canada, UK Research and Innovation (UKRI), and IVADO (Institute for Data Valorization).
 
-{% include team-gallery.html authors=site.data.authors research_direction="poli-sci" render_current_role=true %}
-
-## Past Members
-{% include team-gallery.html authors=site.data.authors research_direction="poli-sci" render_current_role=false %}
+{% include logo-grid.html id="logos" %}

_research_directions/temporal-graph-learning.md

@@ -9,6 +9,16 @@ header:
 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."
 
+logos:
+  - image: /assets/images/logo/CIFAR.png
+    name: CIFAR
+  - image: /assets/images/logo/GOOGLE.png
+    name: Google
+  - image: /assets/images/logo/MILA.png
+    name: MILA
+  - image: /assets/images/logo/SAMSUNG.png
+    name: SAMSUNG
+
 ---
 
 {% include breadcrumbs.html %}
@@ -24,9 +34,8 @@ Time-evolving graphs, also known as temporal networks, are a crucial area of stu
 
 {% include tech-transfer.html category="TGL" %}
 
-# Core Team Members
+# Funding
 
-{% include team-gallery.html authors=site.data.authors research_direction="temporal-graph-learning" render_current_role=true %}
+We acknowledge funding from the Canadian Institute for Advanced Research (CIFAR AI Chair Program), Google, Mila - Quebec AI Institute and Samsung. 
 
-<!-- ## Past Members
-{% include team-gallery.html authors=site.data.authors research_direction="temporal-graph-learning" render_current_role=false %} -->
+{% include logo-grid.html id="logos" %}