Working with experts from Nanyang Technological University (SG), we are developing an AI model capable of detecting potentially radicalized profiles to support terrorism prevention.
Supported by NTU Grant (Rp 1,3 M)
Aiming to understand the nature of radicalisation, develop intervention programmes and an innovative methodology to estimate radicalisation and deradicalisation processes through a platform for data collection from five continents.
Supported by European Research Council Grant (Rp 46 M)
Kementerian Koordinator Bidang Pembangunan Manusia dan Kebudayaan bekerjasama dengan Labpsipol untuk memetakan probabilitas konflik berdasarkan data dari seluruh Indonesia.
In collaboration with network of laboratories from 15 countries, This project aims to test whether a subtle linguistic intervention is able to ameliorate the gender bias in political leadership stereotypes across different languages and national contexts
Many studies have identified Indonesia as experiencing democratic backsliding due to numerous cases of power abuse by its authorities. This study seeks to examine the consequences of this situation on the Indonesian electorate.
Elections in Indonesia have yet to deliver promised prosperity. One possible reason is the electorate’s limited ability to choose long-term beneficial candidates. This problem may stem from the election model that rewarded all stakeholders to game the election.
Supported by Hibah PUTI Q3 (Rp 80 Juta)
A common trend in polarized democracies is that many people believe their political beliefs are superior, leading to a more extreme positions. This study aims to understand this ongoing debate by examining the relationship between political ideology and belief superiority.
Supported by Hibah PUTI Q1
This study examines factors influencing bias in information processing, specifically emotion and open-minded cognition. This study aims to identify the antecedents of biased cognition using experimental approach.
Supported by Hibah PUTI Q1
This research explores which aspects and sources of meaning in life that can help people face loneliness. Identifying key existential factors that could foster social connection and well-being can help people to survive the existential threat.
This study explores how ‘happiness’ is socially represented. By analyzing large-scale digital interactions, it identifies patterns in how people define and express happiness, providing insights into cultural and contextual variations in the perception of happiness.
