Social Capital Analytics Challenge

Competition Name: Social Capital Analytics Challenge: Unearthing Economic Connectedness

Description: In a world where economic disparity is a growing concern, understanding and improving economic connectedness within communities is crucial. This challenge invites teams to analyze the Social Capital dataset, developed by Meta, featuring data on 21 billion friendships to uncover insights into economic connectedness and social cohesion. 

Find the dataset here: https://data.humdata.org/dataset/social-capital-atlas 

Prompt: The goal is to identify actionable strategies that could enhance economic integration and uplift communities at the school, county, or state level. Your task is to use data analytics and machine learning techniques to analyze the Social Capital dataset for insights into economic connectedness in U.S. neighborhoods, schools, and colleges. You may choose to focus on school, county, or state level data. Focus on identifying patterns, anomalies, and actionable strategies that could contribute to improving economic integration and social capital. Your analysis should lead to practical recommendations for community leaders, policymakers, or educational institutions.

Guidelines

1.      Data Understanding: Familiarize yourself with the dataset, focusing on one or more of the three types of social capital: Cohesiveness, Economic Connectedness, and Civic Engagement.

2.     Analysis Plan & Execution: Develop a clear plan for your analysis. Outline the methods and tools you'll use, including any machine learning models or statistical techniques and then execute your analysis.

3.     Collaboration: Encourage teamwork and collaboration within your group. Utilize the diverse skill sets of team members.

4.     Potential Impact: Detail how your insights into economic connectedness could improve community welfare, reduce economic disparities, or influence policy-making. Consider both short-term and long-term effects.

5.     Feasibility: Evaluate the feasibility of implementing your recommendations. Discuss potential challenges and practicality, considering factors like resource availability, scalability, and societal acceptance.

6.     Presentation: Prepare a presentation of your findings, in the form of a concise 5-minute video detailing the problem, your methods, results and recommendations. Use clear, compelling visuals and narratives to convey your analysis and recommendations.

This competition is restricted to members of current AIS Student Chapters. 

Important Dates

  • (EXTENDED) February 8, 2024: Preliminary submissions due.
  • February 15, 2024: Finalists notified.
  • March 21 – 23, 2024: Finalists compete at the conference in Logan, Utah, before a panel of judges.

Prizes

Monetary Awards

  • 1st place team: $3000
  • 2nd place team: $2000
  • 3rd place team: $1000

Contact

For questions or additional information, please email aisconf@usu.edu and place the track name in the subject line.

Preliminary Submission

Your submission must include:

A concise, 5-minute video demonstrating all aspects of the analysis. The video should communicate the purpose, methodology, results and any actionable insights or recommendations. This video should include a discussion of all major components of your analytical methods and results.  Points will be based on the quality of the questions posed, the thoroughness of the analysis, the extent to which your results and recommendations reflect your original posed questions or problem statement, as well as their potential for societal impact, and the quality of the video/presentation.

Submission Directions

Utilize this survey to submit your materials for this competition.

Finalist Expectations

Once finalists are notified, additional instructions will be given to them on what to prepare for the finals held in Logan, Utah.

Detailed Judging Criteria

Criteria

Description

Measurability of Posed Questions

All posed analytical questions should be fully operationalized, with a clear description of how success will be measured.

Depth and rigor of analysis

The chosen methods are an appropriate choice in addressing the posed questions and were conducted properly.

Originality of insights

Actionable insights concluded from the analyses are original and have the potential to meaningfully contribute to the field.

Potential societal impact

Insights demonstrate clear ability to produce positive societal impact.

Feasibility of recommendations

Recommendations are realistic and feasible considering the assets and constraints of the stakeholders.

Quality of presentation

The presentation addresses all required components within the 5-minute time limit. Presenters communicate their information clearly and professionally using a slide deck and visualizations as necessary.