feat(collaborations): Add past data science collaborations

our-work/collaborations/burke.yml

@@ -0,0 +1,18 @@
+title: Leveraging Computer Vision to Augment Risk Prediction
+id: burke-lab
+description: The aim of this project is to collect and analyze image data from individuals with scarring from self-harm injuries. This data will be used to train computer vision models to predict various clinical outcome variables. CCV supports the data collection, analysis and model development infrastructure in collaboration with the Massachusetts General Hospital.
+tags:
+  - active
+  - computer-vision
+investigators:
+  - name: Taylor Burke, Ph.D.
+  - name: Thomas Serre, Ph.D.
+people:
+  - name: Matt Slivinski
+    github_user: mattsliv
+  - name: Mary McGrath
+    github_user: mcmcgrath13
+  - name: Paul Stey
+    github_user: paulstey
+  - name: Isabel Restrepo
+    github_user: mirestrepo

our-work/collaborations/vci.yml

@@ -0,0 +1,11 @@
+title: Investors vs Founders Data Exploration
+id: vci-lab
+description: The Venture Capital Inclusion (VCI) Lab uses data to identify levers for change towards a more inclusive venture capitalist (VC) industry. CCV's collaboration with the VCI Lab and Crunchbase focuses on examining how VC decsion-making and networks impact the flow of resources in entrepreneurial ecosystems.
+tags:
+  - active
+  - finance
+investigators:
+  - name: Banu Ozkazanc-Pan, PhD
+people:
+  - name: Matt Slivinski
+    github_user: mattsliv

schemas/collaborations.yml

@@ -12,7 +12,9 @@ id: "enum(
           'peac-lab',
           'pphc',
           'riddc',
-          'shenhav-lab'
+          'shenhav-lab',
+          'vci-lab',
+          'burke-lab'
           )"
 description: str()
 investigators: list(include('investigator'))
@@ -27,7 +29,9 @@ tag: "enum(
             'computational-psychiatry',
             'sociology',
             'ecology',
-            'epidemiology'
+            'epidemiology',
+            'finance',
+            'computer-vision'
           )"
 #people involved in the project
 investigator: