Tag Archives: Crisis Mapping

Crisis Mapping Africa’s Crossborder Conflicts

My colleague Dennis King just sent me update on the Humanitarian Information Unit’s (HIU) project, “Africa: Conflicts Without Borders 2007-2008.”

Instead of the usual depiction of conflicts as countrywide and defined by national boundaries, this map displays distinct conflict-affected areas in Africa as sub-national and transnational pockets of insecurity, violence, and armed aggression.  Areas of conflict were drawn around locations of reported conflict incidents in 2007 and 2008, as well as concentrations of internally displaced persons and cross-border rebel bases and refugee camps in neighboring countries.

This depiction of areas of conflict more accurately displays where conflict has been occurring in Africa and the sub-national and transnational nature of these conflicts.  In a follow-on project, this new visualization will be used to analyze the relationship between conflict and geo-spatial factors that are also not related to national boundaries, such as topography, natural resources, demographic distributions, and climatic hazards.

A PDF of the map below is available here.

HIU

The map categorizes conflict-affected areas into three types of conflict:

Armed Conflict, Inter-communal Strife, and Political Violence.  In many cases, armed conflicts and political violence are based on inter-communal strife.  The locations of violent food riots, pirate attacks (as of October 2008) and targeted attacks associated with terrorism during 2007-2008 have also been plotted on this map.  Disputed border conflicts are also identified on this map.

HIU zoom

As I have suggested in earlier blogs, I continue to be surprised that crisis maps are still shared as PDFs or JPGs. The above data should be made available in KML with a simple interface that enables users to query the data they are visualizing. At the very minimum, we should be able to visualize the data over time. I find static data less and less compelling in the context of crisis mapping.

For a Google Earth Layer of the above map, please see my follow up blog post.

Patrick Philippe Meier

Satellite Imagery, Mobile Phones and Radios

Earth Observation System Launches in Africa: the SERVIR system integrates satellite resources into a web-based Earth information system, putting previously inaccessible information into action locally.

“A satellite birds-eye view can provide an overall picture of a natural disaster and its consequences,” said Dr. Tesfaye Korme, director of remote sensing and geographic information systems at RCMRD. “The new SERVIR-Africa platform comes just in time to provide us with the satellite data to develop maps of last week’s flooding in western Kenya and eastern Uganda, and estimate the number of displaced people.  We will provide this information to the authorities responsible for disaster response.”

For early warning in advance of events, SERVIR-Africa is developing tools to predict floods in high-risk areas and vector-borne diseases such as Rift Valley Fever. It will also provide visualization capability to map the location of climate change projections so people can see, for example, the potential impact climate change may have on the land resources where they live.  In addition, SERVIR-Africa’s information technology team will use the Internet to serve up satellite and ground-based earth observations, map data, and geospatial analyzes that target issues such as urbanization, biodiversity threats, and management of natural resources.  Mobile phones and radio, too, will be explored as a means to deliver useful information to people.
I’m particularly pleased to read that mobile phones and radios will be explored (and hopefully used) to deliver information at the community level.

Crisis Mappers Meeting

Our first CrisisMappers meeting took place in Orlando, Florida this past weekend. The meeting brought together a small group of tech professionals who are at the very cutting edge of crisis mapping. It truly was a powerhouse. Ushahidi, Development Seed, NiJEL, Emergencity, GeoCommons, InSTEDD, In.itiative and the Harvard Humanitarian Initiative (HHI). This meeting was mostly self-funded and scheduled on a Saturday. The fact that everyone showed up is a clear testament to the commitment we all have to pushing the new field of crisis mapping forward to the next frontier.

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Andrew Turner gave a typical tour de force presentation on some of the most exciting tech-innovations in mapping. I highly recommend viewing his slide show presentations available on Slideshare here. I gave the second introductory talk and chose to highlight two major themes in the future of crisis mapping: Mobile Crisis Mapping (MCM) and Crisis Mapping Analytics (CMA).

The former focuses on our understanding of dynamic mapping platforms as communication tools. In other words, all our communication tools should be fully integrated within our dynamic mapping platforms. Imagine a Google Map interface from which I can receive geo-referenced text messages and forward those messages by SMS broadcast or email right back to the field, without ever having to navigate away from the map. InSTEDD’s GeoChat is a good example of what I have in mind.

Understanding mapping platforms as communication tools poses two challenges common to communication in crisis zones. The first is connectivity while the second is data security. In terms of connectivity, we urgently need to move towards meshed-networked peer-to-peer communication that obviates the need for cell phone towers. As for encryption, SMS encryption should be the default setting on all our communications. Anything less is simply unsatisfactory.

I’ve written about Crisis Mapping Analytics before, so won’t go into detail here. I just want to point out that as our crisis mapping platforms continue to crowdsource data, we will need to make sense of this information in terms of trends over both space and time. We are still far from having any user friendly  point-and-click statistical tools for identifying such trends.

Since I was the only token humanitarian-wanna-be-geek at the meeting, I closed my introductory talk with the following three reminders: (1) if our crisis mapping tools work in humanitarian crises, they’ll work anywhere; (2) we need to identify methods and metrics to evaluate the impact of our crisis mapping platforms; (3) if you don’t keep your crisis mappers as simple as Fisher Price, they are unlikely to be adopted by the humanitarian community; call it the Fisher Price Theory of Crisis Mapping.

Let me expand on the latter point. What our colleagues in the tech-world need to keep in mind is that the vast majority of our partners in the field have never taken a computer science or software engineering course. Most of my humanitarian colleagues have done a Master’s degree in Humanitarian Affairs, International Development, etc. I guarantee you that 99.9% of these graduate programs do not include any seminar on humanitarian information management systems let alone computer science.

The onus thus falls on the techies to produce the most simple, self-explanatory, intuitive interfaces. What we in the humanitarian field want are interfaces as simple as computer games. We want software packages that are simply plug-and-play. Say an iGoogle approach which allows us humanitarians to import various “widgets” such as 2-way SMS broadcasting, wiki-mapping, etc.

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The rest of the CrisisMappers meeting was dedicated to a series of thought-provoking presentations on individual crisis mapping projects that each organization is working on. I shan’t attempt a summary here but shall close with the following. I had the good fortune of sitting next to Ushahidi’s David Kobia during the meeting. At one point, he turns to me and motions to his laptop screen: “Look, just got a text message from someone in the DRC.”

David was pointing to Ushahidi’s admin interface, and indeed, someone on the ground had gotten wind of Ushahidi’s new deployment and had texted the dedicated Ushahidi DRC number. The texter was expressing her/his concern that the DRC site was in English which posed problems for French speakers. The text message itself was in French. The Ushahidi team has been working diligently on a French version of the interface and are nearly finished. David asked me if I might be able to reply (in French) to the person and let them know that the completed interface will be ready next week. I did so, and pointed the texter to the “French Flag” icon on the Ushahidi DRC interface.

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Here’s what I find particularly neat about this exchange. First, here we were sitting in a conference room in Florida on a Saturday afternoon getting a text message from someone in the DRC interested in reporting events using Ushahidi’s DRC platform. Second, the admin interface that David had up set up was simple and clear to understand. Third, David had included two optional buttons to send one-click replies to the text messages he receives: (1) please send us more information on the event; (2) please send us more information on the location event. Simple yet elegant. After I finished typing my reply to the sender of the text message, I clicked on send and off went my message, right back to the field. All this took place in less than five minutes.

Patrick Philippe Meier

Global Incident Map

A colleague of mine recently flagged this automated, quasi real-time crisis map: Global Incident Map. The map displays the latest 25 terror-related incidents using customized icons. These include markers for suspicious devices, bus hijackings, airport incidents, etc. Clicking on the icon provides a link to local news report(s) concerning the event. The service is subscription based so I wasn’t able to tinker around as much as I would have liked.

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Compare this with other automated crisis maps such as the Global Disaster Alert and Coordination System (GDACS), Havaria and HealthMap.

Patrick Philippe Meier

CrisisWire Goes Live

CrisisWire is a “self-aggregating website that pulls information on any disaster around the US and displays it on one page.” The project seeks to get information into the hands of the people that need it most.

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From Nate Ritter:

During a disaster people spend valuable time searching the internet and waiting for the media to report on their city, their neighborhood, their street.  While main stream media serves a vital role during disasters, it is impossible to update the population on everything that is happening during a crisis.  There usually isn’t enough time or resources.  CrisisWire not only uses the traditional media outlets’ valuable information but will also utilize citizen journalist and google maps to track the disaster. YouTube.com (videos), Flickr.com (photos) and a whole host of other types of published media will also soon be integrated.

Future iterations of CrisisWire will include text messages to reach disaster-affected communities who have lost their electricity, Internet access, or who have been displaced from their home. The developers of CrisisWire hope that the platform will “change the way people respond and learn about disasters.” The team  just set up a page on the fires in Santa Barabara, which will be a good “on-site” test for CrisisWire. At the moment, only one contributor appears to be populating the dynamic map.

As always, my interest in such platforms (including Ushahidi, Humanitarian SensorWeb, etc)., is their:

  1. Viability in conflict zones and places with minimal communications infrastructure;
  2. Link to local, decentralized early response;
  3. Actual impact on the ground.

Patrick Philippe Meier

Crisis Mapping Kenya’s Election Violence

Are citizen journalists playing an increasingly important role in documenting violent conflict and human rights violations? I posed this question during the 2008 Global Voices Summit and answered affirmatively—but without more than a hunch and rather limited anecdotal evidence. Paul Curion took issue and David Sasaki recommended that someone carry out an empirical study.

I appreciated David’s practical recommendation and decided to pursue the project since the topic overlaps with the Conflict Early Warning and Crisis Mapping project I’ve been working on at the Harvard Humanitarian Initiative (HHI). Supported by Humanity United, the project seeks to explore the changing role and impact of information communication technology in crisis early warning and humanitarian response.

Seeing that I was in Nairobi visiting my parents during the election violence, I chose Kenya as a case study to assess the role of citizen journalists in crisis environments as compared to the mainstream media. My colleagues Kate Brodock, Briana Kramer and I used event-data analysis to code reports of violent and peaceful events as documented by about a dozen citizen journalist bloggers between December 27, 2007 and January 27, 2008.

We did the same for mainstream media, ranging from print media (national newspapers) to radio and television programs. I also included the Ushahidi data because I wanted to carry out a three way comparison between mainstream news media, citizen journalism and a dedicated crowdsourcing platform.

We then created a Google Earth layer to visualize the data over time and space. Below is a YouTube video I created of the animation (for slower Internet connections). Here is the Google Earth layer (KMZ). The data can also be visualized on Google Maps here.

Yellow icon = mainstream news reports; Blue icon = citizen journalism blogs; Green icon = Ushahidi reports.

A dynamic time line is also available below. The interactive time line depicts the number of daily reports produced by mainstream news, citizen journalists and Ushahidi over the 30-day period of study.

Our preliminary findings:

  • Mainstream media reported actual death count before citizen journalists; however, on many accounts, mainstream media did not report on incidents leading to actual deaths, i.e., early warning signs;
  • Citizen journalist reports and Ushahidi reports did not overlap geographically with mainstream media reports;
  • Citizen journalists tended to report as soon as violence started, well before mainstream media;
  • The number of comments on citizen journalist blogs increased during the 30-day period, or during particular periods of violence;
  • The comment section was also used as a medium for real-time updating;
  • Many citizen journalist bloggers used real-time updates sent to them via SMS, primarily from rural areas;
  • Citizen journalism reports declined after the launch of Ushahidi;
  • Ushahidi reports document an important number of violent events not reported by the mainstream media and citizen journalists;
  • Contrary to news media and citizen journalist reports, Ushahidi data always had specific location information;
  • Ushahidi reports also covered a wider geographical area than both mainstream news and citizen journalist bloggers.

For further information on our project’s methodology and sources, please see this short powerpoint presentation (PDF) which we have also uploaded on Slideshare. For more on crisis mapping, please see this page. For additional information on the role of digital technology during Kenya’s post election violence, see this narrative-based analysis (PDF) by my two colleagues Josh Goldstein and Juliana Rotich.

We look forward to receiving as much feedback as possible so we can improve our methodology and analysis in future case studies. We’re especially keen to have others interpret the dynamics displayed in the animation above. In the meantime, please contact me if you’d like to join the team and contribute to our next case study, which will be of Georgia.

To cite this research, please use: Meier, Patrick and Kate Brodock (2008). “Crisis Mapping Kenya’s Election Violence: Comparing Mainstream News, Citizen Journalism and Ushahidi.” (Harvard Humanitarian Initiative, HHI, Harvard University: Boston). URL: https://irevolution.wordpress.com/2008/10/23/mapping-kenyas-election-violence

Patrick Philippe Meier

Crisis Mapping Kenya’s Election Violence

Are citizen journalists playing an increasingly important role in documenting violent conflict and human rights violations? I posed this question during the 2008 Global Voices Summit and answered affirmatively—but without more than a hunch and rather limited anecdotal evidence. Paul Curion took issue and David Sasaki recommended that someone carry out an empirical study.

I appreciated David’s practical recommendation and decided to pursue the project since the topic overlaps with the Conflict Early Warning and Crisis Mapping project I’ve been working on at the Harvard Humanitarian Initiative (HHI). Supported by Humanity United, the project seeks to explore the changing role and impact of information communication technology in crisis early warning and humanitarian response.

Seeing that I was in Nairobi visiting my parents during the election violence, I chose Kenya as a case study to assess the role of citizen journalists in crisis environments as compared to the mainstream media. My colleagues Kate Brodock, Briana Kramer and I used event-data analysis to code reports of violent and peaceful events as documented by about a dozen citizen journalist bloggers between December 27, 2007 and January 27, 2008.

We did the same for mainstream media, ranging from print media (national newspapers) to radio and television programs. I also included the Ushahidi data because I wanted to carry out a three way comparison between mainstream news media, citizen journalism and a dedicated crowdsourcing platform.

We then created a Google Earth layer to visualize the data over time and space. Below is a YouTube video I created of the animation (for slower Internet connections). Here is the Google Earth layer (KMZ). The data can also be visualized on Google Maps here.

Yellow icon = mainstream news reports; Blue icon = citizen journalism blogs; Green icon = Ushahidi reports.

A dynamic time line is also available below. The interactive time line depicts the number of daily reports produced by mainstream news, citizen journalists and Ushahidi over the 30-day period of study.

Our preliminary findings:

  • Mainstream media reported actual death count before citizen journalists; however, on many accounts, mainstream media did not report on incidents leading to actual deaths, i.e., early warning signs;
  • Citizen journalist reports and Ushahidi reports did not overlap geographically with mainstream media reports;
  • Citizen journalists tended to report as soon as violence started, well before mainstream media;
  • The number of comments on citizen journalist blogs increased during the 30-day period, or during particular periods of violence;
  • The comment section was also used as a medium for real-time updating;
  • Many citizen journalist bloggers used real-time updates sent to them via SMS, primarily from rural areas;
  • Citizen journalism reports declined after the launch of Ushahidi;
  • Ushahidi reports document an important number of violent events not reported by the mainstream media and citizen journalists;
  • Contrary to news media and citizen journalist reports, Ushahidi data always had specific location information;
  • Ushahidi reports also covered a wider geographical area than both mainstream news and citizen journalist bloggers.

For further information on our project’s methodology and sources, please see this short powerpoint presentation (PDF) which we have also uploaded on Slideshare. For more on crisis mapping, please see this page. For additional information on the role of digital technology during Kenya’s post election violence, see this narrative-based analysis (PDF) by my two colleagues Josh Goldstein and Juliana Rotich.

We look forward to receiving as much feedback as possible so we can improve our methodology and analysis in future case studies. We’re especially keen to have others interpret the dynamics displayed in the animation above. In the meantime, please contact me if you’d like to join the team and contribute to our next case study, which will be of Georgia.

To cite this research, please use: Meier, Patrick and Kate Brodock (2008). “Crisis Mapping Kenya’s Election Violence: Comparing Mainstream News, Citizen Journalism and Ushahidi.” (Harvard Humanitarian Initiative, HHI, Harvard University: Boston).
URL: http://irevolution.net/2008/10/23/mapping-kenyas-election-violence

Patrick Philippe Meier

Tactical Tech: Maps for Advocacy

Tactical Tech recently released it’s Maps for Advocacy guide, which is a must-read for those new to the field of crisis mapping. The guide is an excellent collection of user scenarios and mini case studies that span a diverse range of fields and technologies.

My main concern with Tactical Tech’s research on mapping for advocacy has to do with impact evaluation, or lack thereof. It’s one thing to describe a crisis mapping project, the tools involved and purpose, but it’s quite another to evaluate whether the project had any impact, whether it’s replicable and/or why it may not have been effective.

Crisis mapping is a new field with projects proliferating in multiple directions. But there are few feedback loops in place that enable us to learn from any impact these projects may have had. Anecdotal evidence is a start, but hardly sufficient to build a case for crisis mapping and advocacy.

Patrick Philippe Meier

The Past and Future of Crisis Mapping

I’ve written about crisis mapping on this blog and elsewhere so what I want to do here is simply reflect on where we’ve been in the field and on what I’d like to see happening over the coming weeks, months and years. For a “Brief History of Crisis Mapping” click here and for a “Video Primer on Crisis Mapping” please follow this link.

What follows is thus a brief personal account of the field of operational crisis mapping as I have experienced it over the past five years. I also add three (TED) wishes for the future of crisis mapping, which, when fulfilled, should usher in the next logical step in the field, namely Mobile Crisis Mapping (MCM).

I first began thinking about crisis maps in 2003 when consulting for the OSCE on the Environmental Security Initiative (EnvSec), which made extensive use of social mapping to assess environmental security dynamics in Central Asia. I was impressed by the notable added value that the maps brought to that project (particularly at the community level) and wanted to do the same for the field of conflict prevention and early warning.

I therefore toyed around with the idea of “FAST Maps” in 2003 when setting up FAST International’s United Nations (UN) Liaison Office in New York. FAST was one of the leading pioneers of conflict monitoring and early warning analysis. At the time, however, FAST was only producing conflict barometers, or baselines, i.e., time series frequency analysis of conflict (and peace) events. I therefore followed up with a series of proposals on “FAST Maps” sharing them with Jeffrey Sachs at Columbia University’s Earth Institute amongst others.

Here is how I defined FAST Maps back in 2003:

Unfortunately, Swisspeace was unable to secure funding to see this project through, so in 2004 I joined the CEWARN team in the Horn of Africa and set up a GIS Unit in Addis Ababa to map cross-border conflicts in the region. When I left my full time consulting work to pursue my PhD at The Fletcher School, the team in Addis did not have the resources to expand let alone sustain the mapping component of CEWARN.

The main hurdles were threefold: (1) GIS tools were anything but user-friendly and particularly difficult to teach to colleagues who did not have a background in GIS; (2) the cost of the ArcView license was prohibitive; and (3) many in the field of conflict early warning, including donors, still did not get the point of crisis mapping, which meant (amongst other things) that our field monitors in the Horn were never equipped with handheld GPS units, a suggestion I had made in 2005.

In sum, crisis mapping faced a number of hurdles between 2003-2006, but we’ve come a long way since. Although the ideas were being developed as early as 2003, more intuitive and accessible mapping technology was not yet available and an understanding of the value-added of crisis mapping had not fully materialized.

Five years later, crisis mapping is all the buzz, and the technology is finally here to make it happen. The Harvard Humanitarian Initiative (HHI) has been engaged in major applied research project on crisis mapping for almost two years. And new donors like Humanity United are excited about the potential of crisis mapping. A new initiative, CrisisMappers, set up by Erik Hersman and myself seeks to facilitate the exchange of best practices and to ensure interoperability across mapping platforms.

Thanks to Google Maps and Google Earth, we’ve moved from static hardcopy maps, to dynamic, interactive and multi-layer digital maps like Ushahidi. OpenLayers and GeoDjango are two recently released tools that further facilitate our efforts.

There is still some way to go, however, at least in terms of the ideas I had back in 2003. So here are my three wishes for the immediate future of crisis mapping:

First wish: we need to think of maps not simply as dynamic tools for improving situational awareness but also as communication tools. The example I’ve used over the past two years:

A local NGO in Somalia encounters a roadblock, they take a picture or video using their camera phone and/or write a quick text message using the format: [town*message] or [lat*long*message]. They send the info to a designated number. Better yet, they have a pre-installed application on their phone (like the iPhone app for Ushahidi) that automatically geo-references and sends the text/picture/video.

Once sent, the text/picture/video gets geo-referenced in real-time on a dedicated Google Maps platform like the SensorWeb.

An icon denoting a security-related event pops up on the map. Anyone monitoring the SensorWeb clicks on the icon, a box opens with the identity (name/picture) of the person who sent the message, the actual message (SMS/video/text), and location.

Within that box are four links: Call, Reply, Broadcast and Tag. Selecting “Call” automatically calls the person back via Skype or similar VoIP tool. Selecting “Reply” or “Broadcast” prompts the user for the preferred mode of communication, i.e, by “SMS” or “Email”. This allows the user to access an address book, select contacts and, for example, to use SMS broadcasting to forward the text (or picture) right back to the field with the option of adding to the text a set of instructions for early response.

The point here is that the user never needs to navigate away from the map, which is what turns the map into a communication tool. The user is at most 3 clicks of the mouse away from facilitating real-time networked communication. Being on the Board of Advisers for Ushahidi and on the SensorWeb team, I hope this is a functionality that both projects will seriously consider and implement.

Second wish: RSS feeds need to be an integral part of mapping platforms, much like they are for Google Reader. If done well, the feeds can automate the process outlined above. For example, local communities should be able to subscribe to Ushahidi in order to receive (and also submit) information via email and/or SMS on specific events, e.g., robbery or to all events within a specific geographic area, say Kibera. This new approach can help us shift away from traditional hierarchical approaches (that characterize the majority of current conflict early warning/response initiatives) and foster a more distributed approach to conflict prevention. For only then will we be able to facilitate the crowdsourcing of information AND response.

Third wish: this has to do with data security and connectivity. In terms of security, Mobile Crisis Mapping (MCM) platforms should integrate encrypted SMS and email communication. Users should also be given the option of remaining anonymous. As for connectivity, future MCM platforms should promote peer-to-peer mobile phone technology that enables mobile phone users to communicate directly between one another without the need for cell phone towers. This technology is currently being developed out of MIT and, in my opinion, has the potential to have even more far reaching consequences in the telephony sector than Napster (file sharing) did in the music industry.

In conclusion, we’ve come a long way since 2003 but there is still plenty to do. We need more creative thinking and innovative applications. As Columbia University Professor Michael Cervieri recently noted in Kenya’s leading national newspaper regarding Ushahidi and the election violence, people in proximity to violent conflict are not going to be sitting at their computers (the very few who have access to computers) waiting to get information, “they are going to run.” This is obvious and why the future of crisis mapping belongs to Mobile Crisis Mapping.

In addition, future Mobile Crisis Mapping platforms should use spiders to craw the web (newswires and blogs) to populate the map in addition to having individuals in the field adding relevant information to the map. We need both. For the automated feeds, I’m thinking of an approach similar to Havaria and HealthMap which I’ve written about here.

I am relying on the Ushahidi team to help pave the way forward and to continue pioneering the field of Mobile Crisis Mapping over the next few months and years. At the same time, I will rely on the Harvard Humanitarian Initiative (HHI) to help develop the field of Crisis Mapping Analytics (CMA) in collaboration with Ushahidi and partners. In sum, the future of Crisis Mapping = Mobile Technology + Crisis Mapping Analytics = Mobile Crisis Mapping.

Patrick Philippe Meier

e-CORCE to render Google Earth Obsolete?

I was watching TV Afrique during my stay in Jo’burg for MobileActive ’08 and caught an interesting piece of news that could have far-reaching implications for crisis mapping: a new project called “e-Continuous Observing System Relayed by Cellular processing Environment” or e-CORCE.

The driving question behind this bold initiative led by le Centre Francais d’Etudes Spatiales (CNES) is: “can we provide a massive and automated representation of the whole Earth with 1-m resolution and on a daily basis?”

The project would make use of 13 satellites and 50 relay stations for image processing. CNES hopes to have the e-CORCE operational by 2014.

Patrick Philippe Meier