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

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

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…

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.

TCS-COMMUNITY - Open community for TCS-PLATFORM. L1-L3 macro pipeline (FRED/GDACS/ACLED) + Discussions + Trial Pro 30 days. Star to join.

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.

Multi-agent platform using OSINT tools to create geopolitical analysis

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.

This project supports economic monitoring in Morocco using alternative data. It currently includes drought monitoring and conflict event analysis using satellite and geospatial data.

Interactive Tableau dashboard analyzing global civilian targeting events over time using ACLED aggregated conflict data.

This project analyzes conflict events and population exposure using data from the Armed Conflict Location & Event Data Project (ACLED) and WorldPop population rasters. It maps conflict fatalities, applies spatial gridding, and estimates exposed populations at country level to support regional conflict monitoring and humanitarian analysis.

This project analyzes Gen Z protest participation using conflict event data, demographic analysis, and social contract indicators. It combines protest data from the Armed Conflict Location & Event Data Project (ACLED), UN population estimates, and Gallup World Poll data to examine youth-led mobilization patterns and protest dynamics.

ACLED MCP — Armed Conflict Location & Event Data Project

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

Calibrated Early-warning and Risk Estimation System: Automated probabilistic forecasting system for acute food insecurity. Generates 90-day ahead probability estimates of IPC Phase 3+, 4+, and 5 conditions for 43 high-risk countries, updated weekly. Fuses six data streams. Free for humanitarian and academic use.

Geospatial visualisation of the Russia-Ukraine war's footprint across Ukrainian territory, 2022-2025, using ACLED event data.

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

Replication package for MSc thesis: how armed conflict shapes women's information and digital access across Nigeria, DRC, Ethiopia, Jordan, and Tajikistan using 18 DHS survey waves (2007–2024).