Tag Archives: DHN

Live Crisis Map of Disaster Damage Reported on Social Media

Update: See early results of MicroMappers deployment here

Digital humanitarian volunteers have been busing tagging images posted to social media in the aftermath of Typhoon Yolanda. More specifically, they’ve been using the new MicroMappers ImageClicker to rate the level of damage they see in each image. Thus far, they have clicked over 7,000 images. Those that are tagged as “Mild” and “Severe” damage are then geolocated by members of the Standby Volunteer Task Force (SBTF) who have partnered with GISCorps and ESRI to create this live Crisis Map of the disaster damage tagged using the ImageClicker. The map takes a few second to load, so please be patient.

YolandaPH Crisis Map 1

The more pictures are clicked using the ImageClicker, the more populated this crisis map will become. So please help out if you have a few seconds to spare—that’s really all it takes to click an image. If there are no picture left to click or the system is temporarily offline, then please come back a while later as we’re uploading images around the clock. And feel free to join our list-serve in the meantime if you wish to be notified when humanitarian organizations need your help in the future. No prior experience or training necessary. Anyone who knows how to use a computer mouse can become a digital humanitarian.

The SBTF, GISCorps and ESRI are members of the Digital Humanitarian Network (DHN), which my colleague Andrej Verity and I co-founded last year. The DHN serves as the official interface for direct collaboration between traditional “brick-and-mortar” humanitarian organizations and highly skilled digital volunteer networks. The SBTF Yolanda Team, spearheaded by my colleague Justine Mackinnon, for example, has also produced this map based on the triangulated results of the TweetClicker:

YolandaPH Crisis Map 2
There’s a lot of hype around the use of new technologies and social media for disaster response. So I want to be clear that our digital humanitarian operations in the Philippines have not been perfect. This means  that we’re learning (a lot) by doing (a lot). Such is the nature of innovation. We don’t have the luxury of locking ourselves up in a lab for a year to build the ultimate humanitarian technology platform. This means we have to work extra, extra hard when deploying new platforms during major disasters—because not only do we do our very best to carry out Plan A, but we often have to carry out  Plans B and C in parallel just in case Plan A doesn’t pan out. Perhaps Samuel Beckett summed it up best: “Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better.”


MicroMappers Launched for Pakistan Earthquake Response (Updated)

Update 1: MicroMappers is now public! Anyone can join to help the efforts!
Update 2: Results of MicroMappers Response to Pakistan Earthquake [Link]

MicroMappers was not due to launch until next month but my team and I at QCRI received a time-sensitive request by colleagues at the UN to carry out an early test of the platform given yesterday’s 7.7 magnitude earthquake, which killed well over 300 and injured hundreds more in south-western Pakistan.


Shortly after this request, the UN Office for the Coordination of Humanitarian Affairs (OCHA) in Pakistan officially activated the Digital Humanitarian Network (DHN) to rapidly assess the damage and needs resulting from the earthquake. The award-winning Standby Volunteer Task Force (SBTF), a founding member of the DHN. teamed up with QCRI to use MicroMappers in response to the request by OCHA-Pakistan. This exercise, however, is purely for testing purposes only. We made this clear to our UN partners since the results may be far from optimal.

MicroMappers is simply a collection of microtasking apps (we call them Clickers) that we have customized for disaster response purposes. We just launched both the Tweet and Image Clickers to support the earthquake relief and may also launch the Tweet and Image GeoClickers as well in the next 24 hours. The TweetClicker is pictured below (click to enlarge).


Thanks to our partnership with GNIP, QCRI automatically collected over 35,000 tweets related to Pakistan and the Earthquake (we’re continuing to collect more in real-time). We’ve uploaded these tweets to the TweetClicker and are also filtering links to images for upload to the ImageClicker. Depending on how the initial testing goes, we may be able to invite help from the global digital village. Indeed, “crowdsourcing” is simply another way of saying “It takes a village…” In fact, that’s precisely why MicroMappers was developed, to enable anyone with an Internet connection to become a digital humanitarian volunteer. The Clicker for images is displayed below (click to enlarge).


Now, whether this very first test of the Clickers goes well remains to be seen. As mentioned, we weren’t planning to launch until next month. But we’ve already learned heaps from the past few hours alone. For example, while the Clickers are indeed ready and operational, our automatic pre-processing filters are not yet optimized for rapid response. The purpose of these filters is to automatically identify tweets that link to images and videos so that they can be uploaded to the Clickers directly. In addition, while our ImageClicker is operational, our VideoClicker is still under development—as is our TranslateClicker, both of which would have been useful in this response. I’m sure will encounter other issues over the next 24-36 hours. We’re keeping track of these in a shared Google Spreadsheet so we can review them next week and make sure to integrate as much of the feedback as possible before the next disaster strikes.

Incidentally, we (QCRI) also teamed up with the SBTF to test the very first version of the Artificial Intelligence for Disaster Response (AIDR) platform for about six hours. As far as we know, this test represents the first time that machine learning classifiers for disaster resposne were created on the fly using crowdsourcing. We expect to launch AIDR publicly at the 2013 CrisisMappers conference this November (ICCM 2013). We’ll be sure to share what worked and didn’t work during this first AIDR pilot test. So stay tuned for future updates via iRevolution. In the meantime, a big, big thanks to the SBTF Team for rallying so quickly and for agreeing to test the platforms! If you’re interested in becoming a digital humanitarian volunteer, simply join us here.


Introducing MicroMappers for Digital Disaster Response

The UN activated the Digital Humanitarian Network (DHN) on December 3, 2012 to carry out a rapid damage needs assessment in response to Typhoon Pablo in the Philippines. More specifically, the UN requested that Digital Humanitarians collect and geo-reference all tweets with links to pictures or video footage capturing Typhoon damage. To complete this mission, I reached out to my colleagues at CrowdCrafting. Together, we customized a microtasking app to filter, classify and geo-reference thousands of tweets. This type of rapid damage assessment request was the first of its kind, which means that setting up the appropriate workflows and technologies took a while, leaving less time for the tagging, verification and analysis of the multimedia content pointed to in the disaster tweets. Such is the nature of innovation; optimization takes place through iteration and learning.

Microtasking is key to the future of digital humanitarian response, which is precisely why I am launching MicroMappers in partnership with CrowdCrafting. MicroMappers, which combimes the terms Micro-Tasking and Crisis-Mappers, is a collection of free & open source microtasking apps specifically customized and optimized for digital disaster response. The first series of apps focus on rapid damage assessment activations. In other words, the apps include Translate, Locate and Assess. The Translate & Locate Apps are self-explanatory. The Assess App enables digital volunteers to quickly tag disaster tweets that link to relevant multimedia that captures disaster damage. This app also invites volunteers to rate the level of damage in each image and video.

For example, say an earthquake strikes Mexico City. We upload disaster tweets with links to the Translate App. Volunteer translators only translate tweets with location information. These get automatically pushed to the Assess App where digital volunteers tag tweets that point to relevant images/videos. They also rate the level of damage in each. (On a side note, my colleagues and I at QCRI are also developing a crawler that will automatically identify whether links posted on twitter actually point to images/videos). Assessed  tweets are then pushed in real-time to the Locate App for geo-referencing. The resulting tweets are subsequently published to a live map where the underlying data can also be downloaded.  Both the map & data download feature can be password protected.

The plan is to have these apps online and live 24/7 in the event of an activation request. When a request does come in, volunteers with the Digital Humanitarian Network will simply go to MicroMappers.com (not yet live) to start using the apps right away. Members of the public will also be invited to support these efforts and work along side digital humanitarian volunteers. In other words, the purpose of the MicroMappers Apps is not only to facilitate and accelerate digital humanitarian efforts but also to radically democratize these efforts by increasing the participation base. To be sure, one doesn’t need prior training to microtask, simply being able to read and access the web will make you an invaluable member of the team.

We plan to have the MicroMappers Apps completed in May/June September for testing by members of the Digital Humanitarian Network. In the meantime, huge thanks to our awesome partners at CrowdCrafting for making all of this possible! If you’re a coder and interested in contributing to these efforts, please feel free to get in touch with me. We may be able to launch and test these apps earlier with your help. After all, disasters won’t wait until we’re ready and we have several more disaster response apps that are in need of customization.


Using CrowdFlower to Microtask Disaster Response

Cross-posted from CrowdFlower blog

A devastating earthquake struck Port-au-Prince on January 12, 2010. Two weeks later, on January 27th, a CrowdFlower was used to translate text messages from Haitian Creole to English. Tens of thousands of messages were sent by affected Haitians over the course of several months. All of these were heroically translated by hundreds of dedicated Creole-speaking volunteers based in dozens of countries across the globe. While Ushahidi took the lead by developing the initial translation platform used just days after the earthquake, the translation efforts were eventually rerouted to CrowdFlower. Why? Three simple reasons:

  1. CrowdFlower is one of the leading and most highly robust micro-tasking platforms there is;
  2. CrowdFlower’s leadership is highly committed to supporting digital humanitarian response efforts;
  3. Haitians in Haiti could now be paid for their translation work.

While the CrowdFlower project was launched 15 days after the earthquake, i.e., following the completion of search and rescue operations, every single digital humanitarian effort in Haiti was reactive. The key takeaway here was the proof of concept–namely that large-scale micro-tasking could play an important role in humanitarian information management. This was confirmed months later when devastating floods inundated much of Pakistan. CrowdFlower was once again used to translate incoming messages from the disaster affected population. While still reactive, this second use of CrowdFlower demonstrated replicability.

The most recent and perhaps most powerful use of CrowdFlower for disaster response occurred right after Typhoon Pablo devastated the Philippines in early December 2012. The UN Office for the Coordination of Humanitarian Affairs (OCHA) activated the Digital Humanitarian Network (DHN) to rapidly deliver a detailed dataset of geo-tagged pictures and video footage (posted on Twitter) depicting the damage caused by the Typhoon. The UN needed this dataset within 12 hours, which required that 20,000 tweets to be analyzed as quickly as possible. The Standby Volunteer Task Force (SBTF), a member of Digital Huma-nitarians, immediately used CrowdFlower to identify all tweets with links to pictures & video footage. SBTF volunteers subsequently analyzed those pictures and videos for damage and geographic information using other means.

This was the most rapid use of CrowdFlower following a disaster. In fact, this use of CrowdFlower was pioneering in many respects. This was the first time that a member of the Digital Humanitarian Network made use of CrowdFlower (and thus micro-tasking) for disaster response. It was also the first time that Crowd-Flower’s existing workforce was used for disaster response. In addition, this was the first time that data processed by CrowdFlower contributed to an official crisis map produced by the UN for disaster response (see above).

These three use-cases, Haiti, Pakistan and the Philippines, clearly demonstrate the added value of micro-tasking (and hence CrowdFlower) for disaster response. If CrowdFlower had not been available in Haiti, the alternative would have been to pay a handful of professional translators. The total price could have come to some $10,000 for 50,000 text messages (at 0.20 cents per word). Thanks to CrowdFlower, Haitians in Haiti were given the chance to make some of that money by translating the text messages themselves. Income generation programs are absolutely critical to rapid recovery following major disasters. In Pakistan, the use of CrowdFlower enabled Pakistani students and the Diaspora to volunteer their time and thus accelerate the translation work for free. Following Typhoon Pablo, paid CrowdFlower workers from the Philippines, India and Australia categorized several thousand tweets in just a couple hours while the volunteers from the Standby Volunteer Task Force geo-tagged the results. Had CrowdFlower not been available then, it is highly, highly unlikely that the mission would have succeeded given the very short turn-around required by the UN.

While impressive, the above use-cases were also reactive. We need to be a lot more pro-active, which is why I’m excited to be collaborating with CrowdFlower colleagues to customize a standby platform for use by the Digital Humanitarian Network. Having a platform ready-to-go within minutes is key. And while digital volunteers will be able to use this standby platform, I strongly believe that paid CrowdFlower workers also have a key role to play in the digital huma-nitarian ecosystem. Indeed, CrowdFlower’s large, multinational and multi-lingual global workforce is simply unparalleled and has the distinct advantage of being very well versed in the CrowdFlower platform.

In sum, it is high time that the digital humanitarian space move from crowd-sourcing to micro-tasking. It has been three years since the tragic earthquake in Haiti but we have yet to adopt micro-tasking more widely. CrowdFlower should thus play a key role in promoting and enabling this important shift. Their con-tinued important leadership in digital humanitarian response should also serve as a model for other private sector companies in the US and across the globe.