THEME: STATISTICS, ECONOMICS, COMPUTER SCIENCE, IMAGE MINING
DATE: 15 JULY 2018
Research Dive: AI and Machine Learning for Poverty aims to contribute in addressing the poverty issues by employing big data such as satellite imagery, e-commerce data, social media, and socio-economic data, among others. The seventh research dive aims to generate insights on how to leverage new datasets and Artificial Intelligence (AI) for getting insights on poverty across Indonesia. There are four tasks that are given to participants: (1) Estimating poverty at the provincial level; (2) Estimating poverty at the city level; (3) Estimating poverty at the district level; (4) Estimating poverty at the household level.
THEME: URBAN AND REGIONAL PLANNING
DATE: 25 MARCH 2018
Data-driven-city, smart cities, are few names of phenomenon which leveraging the use of new types of data, innovation and latest technology to better understanding dynamics of the city for developing sustainable and resilient city. The sixth Research Dive hopes to enhance the familiarity of researchers with several datasets, to generate insights on water access, energy consumption, health, and regional development.
DATE: 19 NOVEMBER 2017
Data-driven approach for developing intelligent transportation system is vital, to improve traffic management and to enhance transportation network. The upcoming research dive for development on transportation will enhancing the familiarity of researchers with several datasets, including, toll data, traffic CCTV data, public transportation data, among others. The research dive plans to generate insights on improvements of transportation system, transportation networks, and public transportation.
THEME: TRADE AND COMPETITIVENESS
DATE: 06 AUGUST 2017
Pulse Lab Jakarta, in collaboration with OLX Indonesia, is organizing a research event, Research Dive for Development: Trade and Competitiveness, in which academics, industry professionals and other researchers will dive into various datasets and produce new methods and analysis. The event will take place from 6th to 9th August 2017 at the Pulse Lab Jakarta office. The four topics are: Task 1 - Analysis of port network connectivity, national or ASEAN-wide, using global marine vessel automatic identification system data Task 2 - Analysis of inter-city connectivity in Indonesia, using e-commerce data Task 3 - Analysis of proxies in e-commerce data for city-level and national economic trends and shocks Task 4 - Analysis of correlations between postal network data and trade network data within ASEAN
DATE: 12 MARCH 2017
Realizing the needs of quality, accessible, timely and reliable disaggregated data not only to better measure the achievements of the 17 Goals but also to better implement SDGs, Pulse Lab Jakarta hosted statistics researchers or practitioners, who have relevant research experiences to statistical problems related to SDGs to analyzing 15-year MDGs indicator data in (sub-) national level.
THEME: COMPUTER SCIENCE, IMAGE MINING
DATE: 13 NOVEMBER 2016
Pulse Lab Jakarta in collaboration with UN Office for the Coordination of Humanitarian Affairs (UN OCHA) Indonesia, invited 16 image processing researchers and GIS enthusiast, advisors, and domain experts from 14 different universities and government research institutions, to analyse image-based datasets from social media, satellites and unmanned aerial vehicles (UAV) with the eventual aim of developing tools to better manage a disaster. Researchers were tasked on image classification and inference of visibility levels from hazy images, impacts quantification of volcanic eruption, and modelling risks and assessing hazards of landslides.
THEME: COMPUTER SCIENCE, NATURAL LANGUAGE PROCESSING
DATE: 22 JULY 2016
Pulse Lab Jakarta had launched Translator Gator, a people-powered language game to support research initiatives in Indonesia by translating a pre-defined set of 2,000 English keywords and phrases related to the Sustainable Development Goals (SDGs) to six Indonesian languages (Bahasa Indonesia, Jawa, Sunda, Bugis, Minang, and Melayu). After gathered more than 109,000 user contributions from hundreds of players from across Indonesia, 19 computational linguistic experts and advisors from 18 different universities and government research institutions were invited assess the quality of the translations, visualize the data to make better sense of it, and fill in important translation gaps.