Archives for posts with tag: Jakarta

The Open Data Institute in London has awarded the project, through the SMART Open Source Geospatial Laboratory, a grant to showcase the project’s use of open data and software.

Read the announcement here:

Link to Q&A interview about the award below.

Fullbright-National Geographic Fellow Christina Leigh Geros is currently collaborating with the project in Indonesia. Read her description of the project for National Geographic here.

Read the transcript of the interview at the blog:
Social Media as Urban Infrastructure — JJK Extended Interview with

Or, click the link in the tweet below to view the e-magazine issue:

Presentation on 2.0 at FOSS4G in Seoul, September 2015

Paper Abstract

The use of mobile devices for identifying risk and coordinating disaster response is well accepted and has been proven as a critical element in disaster risk management. As new tools, applications, and software are adopted by municipal governments and NGOs for the identification and management of urban risk, the need for greater integration of the various data they collect becomes acute. While the challenge of integrated data management is substantial, it is aided by the fact that many new tools have been developed to include an Application Programming Interface (API), which allows the machine-to-machine (i.e. automated) sharing of open data. While some proprietary platforms for the management of urban data are currently available, they are extremely costly and very limited in terms of data inputs; to date there are no open source geospatial software tools for the integrated management of various API sources to evaluate hazards for disaster response.

A key to improving disaster risk management as an element of risk identification is the development of an integrated open source Decision-Support Risk Evaluation Matrix that enables: 1) automated integration of multiple geospatial and non-geosapatial API sources into a low cost, user-oriented dashboard; 2) backend database and software design for the Risk Evaluation Matrix that enables data sources to be parameterized and interrogated; 3) the development of an output API stream that allows additional secondary applications to optimize their evaluations and analyses through open access to critical risk information. To address these challenges this paper presents an open source Risk Evaluation Matrix, currently in development, which aims to provide situational oversight of flood hazards from multiple data-sources, including social media, in the city of Jakarta, Indonesia. is featured as the sixth chapter in a new book by Springer “Social Media for Government Services”. Created by colleagues Surya Nepal and Cécile Paris at CSIRO (Data 61) and Dimitrios Georgakopoulos from RMIT; the book explores the role of social media for governments at local, state and federal scales to improve communication, participation and transparency with citizens.

Chapter 6: From Social Media to GeoSocial Intelligence: Crowdsourcing Civic Co-Management for Flood Response in Jakarta, Indonesia

by Tomas Holderness & Etienne Turpin


Here we present a review of, a system designed to harness social media use in Jakarta for the purpose of relaying information about flood locations from citizen to citizen and from citizens and the city’s emergency management agency. The project aimed to produce an open, real-time situational overview of flood conditions and provide decision support for the management agency, as well as offering the government a data source for post-event analysis.

The platform was designed as a socio-technological system and developed as a civic co-management tool to enable climate adaptation and community resilience in Jakarta, a delta megacity suffering enormous infrastructural instability due to a troubled confluence of environmental factors—the city’s rapid urbanization, its unique geographic limitations, and increasing sea-levels and monsoon rainfalls resulting from climate change. The chapter concludes with a discussion of future research in open source platform and their role in infrastructure and disaster management.

Download pre-print (.pdf) | Link to publisher