PDF Document For residents of Jakarta, soundofheaven.info enabled autonomous users to make independant decisions on safey and navigation in response to. Powered by CogniCity Open Source Software, soundofheaven.info is a free web- based Jabodetabek, Surabaya, and Bandung, soundofheaven.info has proven. The actual dimensions of the Jakarta map are X pixels, file size (in bytes) - You can open this downloadable and printable map of Jakarta by.
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Our first targeted audience is Jakarta's middle class. As the best-educated in a country where even primary school is a. Detail of 3rd Map · Peta Hijau Menteng. Rights Reserved. Download as PDF, TXT or read online from Scribd Jakarta offline map guide screenshot.. download peta jakarta Bluestacks offline. Our city map of Jakarta (Indonésia) shows 8, km of streets and paths. If you wanted to walk them all, assuming you walked four kilometers an hour, eight.
During the monsoon season, petajkt helped BPBDJakarta to disseminate key messages by re-tweeting information, such as water levels, rainfall forecasts, and flood-affected areas. From one administration to another, the most common approach toward flood infrastructure in Jakarta is to focus on new physical construction. Where possible erroneous analytic measurements from the media coverage following the project launch in Jakarta on 2 December which led to numerous tweets to the PetaJakarta. At present, There were various types of flood reports addressed to petajkt; in what follows, the three types of tweets received by petajkt are classified, and this classification is clarified with example tweets. Decisions regarding critical flood infrastructure investment should be evidence-based and rely on an understanding of critical interdependencies, energy demands, and an integrated assessment of needs in all related sectors because infrastructure interdependencies bring with them layers of complexity, uncertainty, and risk to urban planning and design Tran et al.
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In wenigen Minuten erhalten Sie eine Email mit einem Link. Neues Passwort eingeben. As a result of these programmatic invitations, petajkt hit the Twitter rate limit on several occasions. The first time was on 27 December , during a period of heavy precipitation; the second occurrence was on 23 January Consequently, on both occasions the petajkt account needed to wait for one hour to be able to send addition tweets or re-tweets.
However, once petajkt was granted the status of a Verified Twitter account, this problem did not occur again. There were various types of flood reports addressed to petajkt; in what follows, the three types of tweets received by petajkt are classified, and this classification is clarified with example tweets. Flood reports came in several forms.
First, flood reports with photos and detailed information, such as the name of the street, village, RT, RW, and the height of the flood, were received [ Fig. In this type of report, flood height information was provided in meters, centimeters, or by the reference to the human body, such knee high, chest high, etc.
The petajkt account also received flood reports with photos and information, such as the name of the street, village, RT, RW, and the height of the flood, as well as additional requests for needed evacuation supplies, such as portable pumps, boats, or food supplies [ Fig.
Additionally, the petajkt account received flood reports without photos, but with useful information such as the name of the street, village, RT, RW, and the height of the flood [Figs. The petajkt account also received flood reports from outside the bounding box of Jakarta [Figs.
The petajkt account also received requests for help and evacuation support. These messages sometimes originated from government agencies and were addressed to affected residents. Usually, Dinas Sosial DKI Social Services Agency tweeted petajkt to share what they were doing to help flood victims, such as delivering food, building common kitchens, etc.
The petajkt account also received from organized communities to residents [Figs. Finally, the petajkt account also helped to relay peer to peer information being shared public on Twitter platform by re-broadcasting relevant information once it was confirmed [Figs.
Users also sent reviews and feedback regarding petajkt and PetaJakarta. The most frequent question directed to petajkt on Twitter was about how to activate the geo-location function for tweets. So far, this question has been addressed manually by sending a reply tweet with a graphic instruction describing how to activate geo-location functionality. Another question that is frequently asked, often outside the Twitter platform, is about information accuracy and validation.
Although ensuring the information sent by Twitter users is challenging, there a number of ways PetaJakarta.
First, during a flood event, users continuously report areas that are flooded. In one scroll of the mention tab, the PetaJakarta. This allows PetaJakarta. Second, PetaJakarta. By monitoring these accounts, additional cross-checking of crowdsourced petajkt reports is possible. Third, PetaJakarta. The final aspect for verifying reports is the recognition of active users that frequently tweet to petajkt with reliable information; as PetaJakarta.
An additional remark on verification is critical. According to Harlan Hale of USAID Hale , the most critical resource in disaster scenarios is information; therefore, it is important to encourage users to share flood data that is relevant, well-formatted, and accurate. In the context of social media, this can occur through the mechanisms described above; however, there is also a naturally-occurring filter of self-selection.
That is, users who do not have valuable information, or who are not willing to make a detailed report albeit one not exceeding characters , are disinclined to send replies. In this way, PetaJakarta. Importantly, the overall aim of sending programmatic messages is not to simply solicit a high volume of replies, but to reach active, committed citizen-users willing to participate in civic co-management by sharing nontrivial data that can benefit other users and government agencies in decision-making during disaster scenarios.
The most frequent complaint to the petajkt account was regarding the programmatic reply feature. Many replies to petajkt about the programmatic replies used humor or ironic criticism to explain that they were not, in fact, in the vicinity of a flood event. However, petajkt also received a number of positive responses and messages of gratitude from users who were not affected, but who still saw the value of the programmatic messaging. The programmatic reply sent by CogniCity helpd to awareness about the existence of PetaJakarta.
Many people discovered PetaJakarta. Importantly, the programmatic replies also allowed PetaJakarta. During the monsoon season, the petajkt sent approximately 90, programmatic replies. Unfortunately, there were also several negative aspects that resulted from using the programmatic reply functionality. Because it is not uncommon for Indonesians to use the word banjir figuratively, for example banjir air mata flood of tears , banjir kenangan flood of memories , etc.
The second main weakness that was created by using a programmatic reply function has to do with usability on the Twitter platform itself. On mobile devices, auto-replies occupy the Tweets tab because tweets and replies are listed in a single tab. Because most users use their mobile device to check the petajkt account, they can become frustrated that most of petajkt tweets in the tab are programmatic invitations, not flood information.
Several critical improvements for citizen-users are anticipated for the next phase of software and platform development. Second, citizen-users have expressed their desire to see their photographs directly embedded on the PetaJakarta. Because of this interruptive advertising content, it is clear that embedding images and tweets directly would greatly improve the user experience and the efficiency for citizen-users trying to view multiple tweets.
Regarding the PetaJakarta. Tweets with screenshots of the current situation received the highest number of impressions in February , suggesting that users like this type of tweet, and that adding date and time details would help encourage further circulation of the images.
Another improvement anticipated for future development is the addition of a time slider bar that would allow users to go back in time and view the map historically to see changes over time; this functionally would be difficult to achieve on a mobile device, although it can be quickly developed for desktop viewing. Finally, many users have asked for more detailed flood height information; such data can we integrated in several ways, including through the additional integration of a Digital Elevation Model in the base layers of the map see Section 6.
A critical element of the PetaJakarta. This section details the government experience of the PetaJakarta. The objective of the workshop, co-organized by PetaJakarta.
Not only did this workshop built trust between the members of the respective partner organizations, it also allowed for a more considered approach to the software and platform development.
It also highlighted three main areas of concern: The system architecture in Section 2 above details the technical solutions to these problems; however, it is important to stress that the technical resolutions did not develop in isolation Douglas , Medina The technical development of the system was a considered response to the operational concerns and existing logic of the Agency; without such an intensive institutional ethnography that included technical, social, and ethical dimensions, it is evident that the project could not have succeeded.
The design of PetaJakarta. To optimize the performance of the system, it was necessary to achieve a high degree of understanding regarding the existing operational procedures and protocols of BPBD DKI Jakarta.
This understanding is ongoing, as the research phase of the project does not end when the development component begins; however, it should be stressed that the institutional ethnographic element of the research relied on recurrent semi-structured interviews, group discussions, and development meetings with the aim of maximizing feedback during the prototyping and development phases.
At the same time, the development goals included an OSS that was highly transferable to other domains, geographies, and languages. These two objectives—building a robust OSS that suited the operational and institutional needs of BPBD DKI Jakarta that was also transferable beyond this immediate use case—worked to parameterize the design process and frame decisions during prototyping and development.
This allowed PetaJakarta. Additionally, five undergraduate students have planned to return in anticipation of the monsoon to conduct thesis research that can be used by PetaJakarta. These endeavours have clearly demonstrated the value of field-based learning and first-hand experience that, as one student remarked during the January visit:. At peak times, PetaJakarta. Critical to the success of the project was its official public launch with, and promotion by, the Governor [ Fig. This endorsement gave the platform very high visibility and increased legitimacy among other government agencies and public users; it also produced a very successful media event, which led substantial media coverage and subsequent public attention.
During the monsoon season, petajkt helped BPBDJakarta to disseminate key messages by re-tweeting information, such as water levels, rainfall forecasts, and flood-affected areas. Also, petajkt retweeted information about the response and relief efforts of BPBD DKI Jakarta and other government agencies, including activities such as helping residents through rescue and relief efforts, draining flood water, installing medical shelters, and delivering food and other aid.
In addition, petajkt manually forwarded relevant reports about floods and evacuation requested to BPBDJakarta, alerting them to urgent reports.
Ultimately, the sharing of flood information directly on the Twitter platform was somewhat ad hoc; it was difficult to anticipate developing protocols of this type of data sharing in advance of the Joint Pilot Study. Instead, what was critical was developing a rhythm of information sharing, and detailing the challenges and opportunities for new tools that could expedite this process without losing aspects of quality control that are gained by manual checks and human oversight.
Although the PetaJakarta. Instead, the Agency relied on the Twitter stream, and began to sketch out a plan for the development of a more robust decision-support dashboard in the form of a Risk Evaluation Matrix that could help manage this point data more effectively see Section 6.
Instead, the Agency recognised that the point representation i. These lessons are critical for the subsequent development of the Risk Evaluation Matrix, discussed in Section 6. SmartCity Jakarta was developed by Dinas Komunikasi dan Informatika Provinsi DKI Jakarta as a one-stop hub with data feeds on traffic, flood, violation reports and even restaurant locations. Some of the information is interactive and is extracted from third party applications, such as flood information from the PetaJakarta.
This kind of real-time input is not only useful for government coordination and management, but also for urban residents Townsend SmartCity Jakarta is an example of public sector innovation wherein the government aims to provide better service delivery through digital applications; making this platform open, sharing the data collected, and fostering further innovations through an open API can call support additional improvements to service delivery.
The success of the Joint Pilot Study has led to the extension of the collaboration into a second and final phase—Operational Integration and Knowledge Transfer—to be completed in May This phase includes three primary components: Third, following the successful deployment of PetaJakarta.
Following the Joint Pilot Study, it is especially clear that one of the most critical elements for success in the DRM sector is the integration of API-sourced data streams see Sections 4. The data rich environment of Jakarta includes a variety of programs and applications that could share data through open APIs.
Finally, the integration of additional private sector platforms, such as Detik. As a compliment to increased ICT investment by the Jakarta government, open data allows universal participation where data is available as a whole and and at no more than a reasonable reproduction cost. For the purposes of data collection and evaluation of PetaJakarta. This period included five key flood events, manually identified by observations on the ground in Jakarta. These events corresponded with increased Twitter and PetaJakarta.
This section provides an overview of the response and use of PetaJakarta. Public interaction is reviewed using metrics from Twitter for the PetaJakarta. Where possible erroneous analytic measurements from the media coverage following the project launch in Jakarta on 2 December which led to numerous tweets to the PetaJakarta. In what follows, we provide further details regarding the elements of the Joint Pilot Study that were deemed most successful by the research team and the project stakeholders.
Below we divide these remarks by focusing first on the social media platform Twitter, then on the web-based cartographic dimension of the project, and finally by analyzing how the Jakarta government valued the project for operational decision-support. Throughout the extent of the monsoon season the PetaJakarta. These reports were formed by users, indicating an average tweet to user ratio of 1. With regard to unconfirmed reports, PetaJakarta. Confirmed reports were largely generated in response to the programmatic invitations messages sent by CogniCity.
A total of 89, invitation messages were sent one message per user , generating over 2. Note that the number of invitations is significantly higher than the number of unconfirmed reports, because CogniCity issues a programmatic invitation for unconfirmed reports for tweets without geolocational information but does not record them [ Fig.
In association with Fig. These dates also saw the highest number of users engaging with tweets from the PetaJakarta. In contrast overall engagement rate appears to reduce over the five events, although there are two few data to support a trend in this instance. In analysis of these data over the monsoon, the relationship between Twitter activity related to flooding, as measured by twitter analytics metrics in Table 02 , and the number of unconfirmed, and confirmed reports about flooding received by PetaJakarta.
While it is self evident that the number of impressions must be linked to the number of programmatic invitations sent of which unconfirmed reports are a subset , it would appear that number of confirmed reports is proportional to the the number of impressions, and related sharing metrics such as retweets [ Table 02 ].
The numbers in Table 02 suggest that the programmatic invitation process performed by the CogniCity Reports module is capable of reaching large numbers of users, who are sending flood related tweets in Jakarta as measured by overall impressions for the five flood events in Table However, it is also clear that the process successfully generates a filtered subset of useful and actionable reports as shown in the previous examples [e.
This is significant given the number of impressions and total unconfirmed reports over the monsoon would suggest the potential for the map to be overwhelmed by user conversations not relevant to the current flood situation.
The ratio of filtering between unconfirmed and confirmed reports is approximately consistent over all five events, with between 20 and 30 unconfirmed reports for every one confirmed [ Table 02 ]. Twitter and PetaJakarta. These figures would suggest that user outreach predominantly achieved through the programmatic Twitter invites and embedded PetaJakarta.
This is supported by correspondence between number of pageviews and key flood events. For the majority of the monsoon season the number of website visits was less than per day, however on the days of 9th and 10th February [ Fig. Demographic information, created independently by Google based on user web-traffic showed that the gender of PetaJakarta. As noted in 4. Instead, the Agency used the petajkt Twitter stream to direct their use of the map and to verify and cross-check information about flood-affected areas in real-time.
While this use of social media was productive overall, the findings from the Joint Pilot Study have led to the proposal for the development of a more robust Risk Evaluation Matrix REM that would enable CogniCity OSS to serve a wider community of users and optimize the data collection process through an open API see 6.
In this regard, it is disconcerting that a recent report prepared by the Humanitarian OpenStreetMap Team and commissioned by the Australia-Indonesia Facility for Disaster Reduction Reeves confuses the use of Twitter-sourced data as a research tool with its existing integration into the DRM information ecosystem.
The confusion in the report appears to derive from a misunderstanding of how the Twitter-sourced data is used operationally by BPBD DKI Jakarta, as well as a misperception about the role of open API-sourced data integration as a goal of the Agency. While reports about the potential value of social media-derived data can provide insights for innovation, it is critical that studies provide accurate information and precise detail to avoid spreading misinformation within the DRM sector.
Because Reeves fails to grasp broader institutional goals and partnerships—no doubt because the report was prepared at such a distance from the real, on the ground concerns of the Agency—he creates a false impression of the operational mandate and current developments within the Agency.
In this section, the objective to is provide more detail regarding the four key aspects of the project that could be dramatically improved by rather straightforward emendations within the existing DRM information ecosystem. In Section 6. While the PetaJakarta. This will facilitate greater information sharing and data coordination among PetaJakarta, the Agency, and the public. As noted in Section 3. Because of this interruptive ad content, embedding images and tweets directly will greatly improve the user experience and the efficiency for citizen-users trying to view multiple tweets from a mobile device.
In this section, we highlight research and development goals for the project, moving from the platform of the Joint Pilot Study, to the OSS which underpinned the platform, and finally to the methodological approach which motivated the research undertaken during the study. Following this deployment, it is the objective of the research team to also complete the transfer of the OSS and attendant tools and documentation to the Agency for future use, deployment and development by May The use of mobile devices for identifying risk and coordinating disaster response is well accepted and has been scientifically proven as a critical element in DRM.
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 aid in collecting 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.
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 OSS tools for the integrated management of various API sources. As noted in 1. GNSS-enabled messaging and the network capabilities of social media through CogniCity OSS to provide validated and actionable information for citizens and government agencies, thereby improving situational knowledge and increasing response times in disaster scenarios.
Further research and development of the GeoSocial Intelligence Framework will require additional testing and operational deployments in Jakarta, but also in other megacities in the region, as well as other coastal or deltaic cities with high flood risk. The findings of the PetaJakarta. The key lessons from the Joint Pilot Study are summarized here for decision makers; following this summary, we provide several additional recommendations for more specific research and development that is anticipated to occur in the final year of the project, in preparation for the monsoon season.
In order to provide the most clear and precise recommendations derived from the PetaJakarta. In this context, OSS should be designed for scalability and transferability with respect to the domain of application, the location, and the language of the users.
Tools and platforms built for single-use applications are both costly and inefficient; for the DRM sector to advance social media usage and crowd-sourcing potential most effectively, investments should target scalable and transferable OSS platforms that can be brought up to enterprise-grade performance in a timely manner. While Twitter has been used effectively to analyse disasters offline after the event, and to source data in an ad hoc manner during disaster events, importantly, decision makers and DRM agencies do not need to wait for disasters to afflict their cities before developing these elements to support their existing DRM information ecosystem.
Building robust social media strategies as an element of preparedness is key to using social media during response, rescue, and recovery efforts. DRM OSS for social media integration should be built with the aim of complimenting existing institutional frameworks and offer an open API for further integration into DRM information ecosystems; when possible, the storage of social media-sourced data should adapt to standard metadata formats such as the Common Alerting Protocol CAP.
DRM OSS should be developed incrementality through an iterative, co-research process that involves the widest variety of stakeholders, including DRM agencies, government managers, scientific researchers, industry partners, and citizen-user groups. By developing modular OSS components through co-research, user feedback can be effectively integrated into both prototyping and development processes, thereby optimizing user feedback as the driver of better design and functionality.
DRM OSS cannot be developed solely as research tools; investments should target applied research projects that use scientific research to aid in operational development, and operational challenges to drive scientific innovation; such an approach removes the redundancies of research and development which can prevent the best tools from reaching the users who could most benefit from their deployment.
By fostering co-research among industry, government, and academia, scientific research can advance apace with industrial innovations and the needs of both government agencies and citizen-users.
Public engagement and transparency are invaluable assets for the development of meaningful, effective, and sustainable DRM OSS platforms and tools; engagement must be nontrivial and demonstrate the value of opt-in projects for participating users.
Because information is a valuable resource for both citizen-users and government agencies in disaster situations, the objective of DRM OSS data visualization should be the ease of use and clarity of information; an emphasis on useable design should be the principle concern for all components of data visualization.
Mapping initiatives that move beyond traditional sources are especially valuable for gathering critical data to aid first responders and rescue workers; supporting mapping projects in high risk communities is therefore a critical area of investment if DRM OSS projects will succeed in reducing risk over the long term.
In this regard, further investment in the Humanitarian OpenStreetMap Team mapping efforts is an especially promising trajectory in the development of data-supported resilience within the DRM information ecosystem. While the value of both risk identification and disaster risk management mobile applications is widely accepted, the variety of data sources, the variation of metadata structures, and the different configuration of data processing from such applications make the effective coordination of these data sources a key area for building greater resilience.
In this way, CogniCity would enable critical data integration, by extending the information ecosystem to fuse data gathered from citizens via social media and formal reporting via API-derived sources into a single Risk Evaluation Matrix. From an urban management perspective, hundreds of thousands of images with exchangeable image file format EXIF metadata including latitude, longitude and altitude are being generated from these UAVs.
By aggregating these images and processing them with a series of computer-vision algorithms across an entire city, digital elevation models DEM can be built, maintained, and constantly updated.
For example, when 3-dimensional elevation data is overlain with 2-dimensional tweets of flooding, flooding extents and depths can be quickly determined. A civilian drone-generated DEM thereby offers an entirely novel urban dataset and an innovative means for developing civic co-management. More than half of the users engaging with PetaJakarta. This figure is expected to grow with the continued development of mobile technology and ubiquitous computing in Southeast Asian markets.
This feature was harnessed by PetaJakarta. The opportunity exists to build on this feature and extend CogniCity to provide the user with real-time alerts based on their location, warning of them of recently reports of flood events. This is particularly relevant due to recent developments in wearable technology, such as smart watches, which can provide notifications at a glance, without the same level of engagement as is required for the user to study a map.
Importantly, future research and development in this area should not focus on developing a single mobile device application, but should instead support the development of a range of applications within the civic co-management DRM ecosystem by extending the CogniCity data API with an alerts module.
This extension to the ecosystem would also enable third parties, including the government, the public, and private sector developers, to leverage the geosocial intelligence gathered by PetaJakarta. DKI Jakarta can increase its leadership role by demonstrating improved cooperation between the provincial BPBD DKI Jakarta and national BNPB emergency management agencies; as this type integration is a challenge throughout the region, Indonesia is poised to demonstrate how effective, applied co-research can help overcome these challenges and achieve greater efficiency through data coordination.
Such an approach would promote the further development of data sharing within the sector and across departments through open data, common protocols, and open APIs.
DKI Jakarta can also play an exemplary role by investing in in ICT and OSS management tools for DRM, thereby diversifying infrastructure investment to move beyond the merely physical elements of flood management to include the technical tools and platforms for effective planning, preparedness, response and recovery.
Finally, by continuing to work with academic partners like the SMART Infrastructure Facility to develop long term research objectives, DKI Jakarta can begin to leverage the success of the Joint Pilot Study to promote an ethic of co-research that sustains evidence-based decision making for investment in the DRM sector. The authors would like to acknowledge contributions from the following researchers to this publication: This formidable, committed team of researchers have all worked to ensure that PetaJakarta.
We are also extremely grateful to the brilliant team at Selera Labs who assisted in the project software development. We are also grateful for the advice, openness, and friendship of all our colleagues at BPBD DKI Jakarta, as well as allies and supporters in the DKI Jakarta government, the Jakarta SmartCity project, and the Jakarta Timur government; the success of the project is a measure of their commitment and dedication to the residents of Jakarta.
Finally, and most sincerely, we are so grateful to all the users in Jakarta who shared their experiences, concerns, frustrations, and advice on our platform—it is to all these citizen reporters who helped make the city more resilient to flood events that we dedicate this publication.
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Charlotte Mandell. New York: Fordham University Press. NCICD, Online access: Paar, P. Future Internet , 3, Rahmawati, L. Vila-vila bekas bongkar di Puncak dibangun kembali. Antara News , 23 April, accessed online: Reeves, J. Crowdsourcing Tools for Flood Reporting in Jakarta. Rosenzweig, C. All Climate is Local. Scientific American. Rostanti, Q. Rujak Center for Urban Studies, Semiocast, Twitter reaches half a billion accounts [Access 20 April ]. Taufik, M. Ini 5 banjir besar yang pernah melumpuhkan Jakarta, 16 January, online access: Tobler, W.
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For further information see: Official launch of PetaJakarta. Photo courtesy of Tatyana Kusumo. His research focuses on developing new architectures for urban data collection, integration and analysis applied to urban infrastructure resilience and Earth systems engineering.
In particular, he has developed new modes of inquiry into the response of megacities to climate change using informal and crowd-sourced data. Holderness developed a pioneering spatio-topological database schema for encoding, modeling and analysis of spatial infrastructure networks, and their inter-dependencies. He has successfully applied this framework to model sanitation networks in rapidly-urbanizing developing regions of Africa using crowd-sourced data and volunteer geographic information.
This research provided a novel insight into the infrastructure challenges faced by developing nations, and allows the calculation of long term operating costs of different improved sanitation network options.
Dr Holderness is also the co-creator of the PetaJakarta. His research on PetaJakarta. Before joining the SMART Infrastructure Facility, as a spatial modeler for the Geospatial Engineering Research Group at Newcastle, Dr Holderness was responsible for the development of an open-source integrated modeling environment for urban systems research. Dr Holderness developed a prototype framework that allowed the integration of models to create processing flow-lines and statistical ensembles for land-use change modelling in response to different climate scenarios.
Dr Etienne Turpin is a philosopher studying, designing, curating, and writing about complex urban systems, political economies of data and infrastructure, aesthetics and visual culture, and Southeast Asia colonial-scientific history. In Jakarta, Indonesia, Etienne is the founder and director of anexact office, a design research practice operating on the shifting conceptual and physical terrain of the Anthropocene through the interventive study of urbanization processes, knowledge infrastructures, and data polities; and the co-principal investigator, with Dr Tomas Holderness, of PetaJakarta.
He is also the editor of Architecture in the Anthropocene: Verlag, , and Jakarta: Prior to his work in Australia and Indonesia, Etienne was a Research Fellow at the Center for Southeast Asian Studies, University of Michigan, where he also taught advanced design research, architecture theory, and coordinated international research-based design studios for the Taubman College of Architecture and Urban Planning.
Toggle navigation. Table of Contents. Executive Summary 1. Citizen Perspectives 3. Overview 3.
Government Perspectives 4. Lessons Learned 6. Document License. Press Release Available from the University of Wollongong. Bahasa Indonesian A Bahasa Indonesian version of this document is currently in preparation; it will be posted soon, thanks for your patience.
Supporting Agencies. Executive Summary. Map showing Asia's population. Map showing Megacities in Southeast Asia. Map showing Jakarta and PetaJakarta. CogniCity System Architecture.