Month: March 2025

• I want to perform “Geospatial Patterns of Protest Activities During Election Cycles”.
• I want to investigate how protest occurrences vary geographically during different phases of election cycles, such as pre-election campaigns, election days, and post-election periods.
• Further, want to apply some machine learning algorithm to predict the hotspot regions in next elections cycle.
• I have got 1 source “United States Election Assistance Commission” https://www.eac.gov/research-and-data, and I am exploring it, if it provides the elections data.
• If anyone knows the exact source, it will make my life easy :).

• ACLED data has large number of columns with multiple unique values in each column.
• To better understand the data, I went through the documentation of data on ACLED website, https://acleddata.com/knowledge-base/guide-to-2023-acled-column-changes/.
• I am going through the documentation to get better understanding of the data and then come up with some questions to perform on this.

• Completed the programming part of the project for problem statement “A Racial Disparity in Police Shootings Across US Counties.”
• Racial Disparity in this project is defined as a race has more share in shooting as compared to the county population.
• I have found Baltimore, Cook, Fulton counties where Black race has face continuous disparity in shooting throughout the data being recorded 2015-2023.
• Despite being may be 1/3rd of the population, they were among the majority or sometimes the only people being shot by police.
• I made another analysis and find out counties where at least 2 races have faced disparity for at least 6 years, and I found the following results.
  • Orange- B, H
  • El Paso- B, W
  • Miami Dade- B, W
  • Maricopa- B, N
  • San Bernardino- B, W
  • Alameda- B, H

All the above analysis are dynamic, and we can find the counties where a continuous disparity was observed within a certain time period i.e., 2020-2024, 2015-2019.
Also, we can find counties where multiple races have face disparity in a non-continuous manner.