An end-to-end event extraction and summarization system.

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. Thi…

A small package to access the API of ACLED and retrieve conflict event data. IMPORTANT: the dev version is maintained on my GitLab page.

Social unrest is hypothesized to exhibit patterns, which if detected early can facilitate mitigation efforts. This real world task introduced us to the task of identifying and predicting social unrest based on NLP and ML methods. This task consists of 3 subtasks revolving around information extraction, summarization and event prediction from text.

an R function to ingest ACLED event data using jsonlite for ingestion and data.table for processing

Code repository for the EACL 2023 long paper Extracting Victim Counts from Text

Elastic search index for the Armed Conflict Location and Event Data Project (ACLED) from Asia and Africa in the same Elastic Search index.

HTML and JS project visualising ACLED data using MapBox for @UCL course 'Digital Visualisation'

Developed a real-time geopolitical event analysis platform, showcasing skills in competitive analysis and industry research, relevant to understanding the financial impact of climate risks at a property level.

Diplomacy Lab Dashboard: Visualizing Global Displacement and Conflict Data with ACLED and UNHCR Refugee Datasets using R Shiny.