7xx schedule

src/teaching/cse-7xx/2021sp.erb

@@ -59,23 +59,52 @@ papers:
     url: https://databricks.com/session_na20/the-importance-of-model-fairness-and-interpretability-in-ai-systems
     abstract: |
       Machine learning model fairness and interpretability are critical for data scientists, researchers and developers to explain their models and understand the value and accuracy of their findings. Interpretability is also important to debug machine learning models and make informed decisions about how to improve them. In this session, Francesca will go over a few methods and tools that enable you to "unpack" machine learning models, gain insights into how and why they produce specific results, assess your AI systems fairness and mitigate any observed fairness issues.
-emails:
-  - name: TBD
-    papers:
-    - title: TBD
 claims: 
-  - title: TBD
-    speaker: TBD
+  - title: Algorithmic Decision Making and the Cost of Fairness
+    speaker: Shreya 
+  - title: Bias on the Web 
+    speaker: Mridula
+  - title: Online Set Selection with Fairness and Diversity Constraints
+    speaker: Xingtong
+  - title: A Nutritional Label for Rankings
+    speaker: Wei
+  - title: "Fides: Towards a Platform for Responsible Data Science"
+    speaker: Yash
+  - title: Responsible Data Management
+    speaker: Bhavin
+  - title: "The importance of Model Fairness and Interpretability in AI Systems (video)"
+    name: Oliver
 schedule: 
   - date: Feb. 1
     event: Introduction, Course Logistics, Scheduling
   - date: Feb. 8
+    speakers:
+      - title: "The importance of Model Fairness and Interpretability in AI Systems (video)"
+        name: Oliver
   - date: Feb. 15
+    speakers: 
+      - title: "Fides: Towards a Platform for Responsible Data Science"
+        name: Yash
   - date: Feb. 22
+    speakers: 
+      - title: Algorithmic Decision Making and the Cost of Fairness
+        name: Shreya 
   - date: March 1
+    speakers: 
+      - title: Bias on the Web
+        name: Mridula
   - date: March 8
+    speakers: 
+      - title: Online Set Selection with Fairness and Diversity Constraints
+        name: Xingtong
   - date: March 15
+    speakers: 
+      - title: A Nutritional Label for Rankings
+        name: Wei
   - date: March 22
+    speakers: 
+      - title: Responsible Data Management
+        name: Bhavin
   - date: March 29
   - date: April 5
   - date: April 12
@@ -114,14 +143,14 @@ The course is graded Sat/Unsat.  For a satisfactory grade:
   claims.each { |claim| claimed_papers[claim["title"]] = claim["speaker"] }
 %>
 
-<% schedule.each do |event| %>
+<% schedule.each do |event| p event%>
   <tr>
     <th style="text-align: right; padding-right: 30px;"><%= event["date"] %></th>
     <td><% if event.has_key? "event" %>
       <b><%= event["event"] %></b>
     <% elsif event.has_key? "speakers" %>
       <% event["speakers"].each do |speaker| %>
-        <div><%= speaker["name"] %> presents '<a href="<%= speaker.fetch("url") { papers_by_title[speaker["title"]]["url"] } %>"><%= speaker["title"] %></a>'</div>
+        <div><%= speaker["name"] %> presents '<a href="<%= speaker.fetch("url") { papers_by_title.fetch(speaker["title"], {}).fetch("url", "???") } %>"><%= speaker["title"] %></a>'</div>
       <% end %>
     <% else %>
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