2024 update 13 (#108)

* 2024-update-13

* 2024-update-13

configs/members.yml

@@ -54,7 +54,7 @@
     coffee: https://calendly.com/milescheng/datagood-coffee-chats
 
 - name: Laura Ma
-  position: Co-VP of Research
+  position: VP of Research
   Year: Junior
   majors: Data Science and Linguistics
   hobbies: N/A
@@ -284,13 +284,3 @@
     linkedin: https://www.linkedin.com/in/rohan-kathuria-9b970a213/
     coffee: https://calendly.com/rohankathuria-berkeley/datagood-coffee-chat-rohan-kathuria
 
-- name: Aditi Telang
-  position: Research PM
-  Year: Sophomore
-  majors: Computer Science
-  hobbies: N/A
-  fun-fact: N/A
-  bio: hi! I am aditi! I am super excited to be research PM again this semester. I love to travel, paint and try new foods.
-  socials:
-    linkedin: https://www.linkedin.com/in/adititelang/
-    coffee: https://calendly.com/aditi-telang/datagood-coffee-chat-name

configs/projects.yml

@@ -1,4 +1,46 @@
 # Configuration for all projects
+
+- title: Fall 2024 industry projects
+  projects: 
+    - link: 
+      title: Oakland Promise
+      description: Oakland Promise empowers Oakland students through offering financial resources, educational programming, mentorship, and a supportive community. The main goal of this project is to determine metrics to assess college affordability, develop survey questions and conceptual framework to measure the impact of Oakland Promise’s College Access scholarships on college affordability, administer the survey to current scholars, and analyze the results. 
+      image: /images/projects/oakland_promise.webp
+      color: blue
+    - link:
+      title: Point Blue Conservation Science
+      description: Point Blue is a nonprofit organization focused on climate-smart conservation to help ensure that wildlife and communities continue to thrive in decades to come. As leaders and innovators in conservation science, Point Blue is filled with scientists, educators, and habitat restoration specialists. Data Good’s collaboration with Point Blue focuses on the Antarctic Wildlife Program in which we use data driven tools to access Adélie penguin ecology. This project is mainly focused on computer vision models.
+      image:  /images/projects/point_blue.webp
+      color: yellow
+    - link:
+      title: Tenants Together
+      description: Tenants Together is a non profit organization based in San Francisco, CA that is dedicated to defending and advancing the rights of California tenants to safe, decent and affordable housing. The purpose of this project is to analyze Tenants Together’s data as well as publicly available data (ie. census data) to understand the key metrics that make up ‘what an average Californian tenant’ looks like. We will do data analysis as well as machine learning such as regression analysis and causal inference in this project. 
+      image:  /images/projects/tenants.webp
+      color: green
+    - link:
+      title: Think of Us
+      description: Think of Us is a nonprofit organization dedicated to transforming the nation’s child welfare system to improve the lives of millions of children and families each year. Our collaboration with Think of Us focuses on using natural language processing and data analytics to analyze and enhance the efficiency of their operations to help them achieve their mission within the child welfare sector. 
+      image:  /images/projects/thinkofus.webp
+      color: purple
+
+- title: Fall 2024 research projects
+  projects: 
+    - link: 
+      title: Bias in Predictive Policing
+      description: With data science becoming a large part of policing in America in the form of predictive policing, it is imperative to ensure that these models are not discriminative against certain groups. Recent analyses, however, show that such policing models can be harmful to the criminal justice system. This project will teach and utilize prevalent data analysis techniques, such as data cleaning and building data models, to create and evaluate models for predictive policing based on the COMPAS algorithm. Finally, an interactive Bokeh dashboard will be incorporated to demonstrate the findings of the research analysis. 
+      image: /images/projects/bias_in_predictive_policing.webp
+      color: yellow
+    - link:
+      title: Financial Vulnerability Assessment
+      description: The goal of the Financial Vulnerability Assessment project is to create a KNN (K-Nearest Neighbors) model capable of forecasting high and low financial risks based on demographic factors. By leveraging machine learning techniques, the project aims to educate the general public on insights into their financial vulnerabilities, thereby fostering a more informed approach to managing finances. By the end of this project, you will provide an algorithm that uses personalized risk assessments to ultimately enable better decision-making in the face of economic challenges.
+      image:  /images/projects/financial_vulnerability.webp
+      color: green
+    - link: 
+      title: Data-Driven Insights(Returning DataGood Members Only)
+      description: The mission of the Intermediate Track is to bridge the gap between Research and Industry projects by providing developers with a controlled environment to learn the soft and professional skills they need to succeed in data consulting. The Intermediate Track combines a preliminary curriculum on strategy, communications, and essential data tools with a fabricated client scenario to prepare developers for working with real clients in Industry, and beyond. 
+      image: /images/projects/datadriven.webp
+      color: pink
+
 - title: spring 2024 industry projects
   projects: 
     - link: