Disaster & Humanitarian Relief

Featured Blog Post

“If all You Have is a Hammer” - How Useful is Humanitarian Crowdsourcing?

Editor’s NoteUrban Search and Rescue Team, with assistance from U.S. military personnel, coordinate plans before a search and rescue mission: In this article, guest contributor Paul Currion looks at the potential for crowdsourcing data during large-scale humanitarian emergencies, as part of our "Deconstructing Mobile" series. Paul is an aid worker who has been working on the use of ICTs in large-scale emergencies for the last 10 years.  He asks whether crowdsourcing adds significant value to responding to humanitarian emergencies, arguing that merely increasing the quantity of information in the wake of a large-scale emergency may be counterproductive. Instead, the humanitarian community needs clearly defined information that can help in making critical decisions in mounting their programmes in order to save lives and restore livelihoods. By taking a close look at the data collected via Ushahidi in the wake of the Haiti earthquake, he concludes that crowdsourced data from affected communities may not be useful for supporting the response to a large-scale disaster.

1. The Rise of Crowdsourcing in Emergencies

Ushahidi, the software platform for mapping incidents submitted by the crowd via SMS, email, Twitter or the web, has generated so many column inches of news coverage that the average person could be mistaken for thinking that it now plays a central role in coordinating crisis responses around the globe. At least this is what some articles say, such as Technology Review's profile of David Kobia, Director of Technology Development for Ushahidi.  For most people, both inside and outside the sector, who lack the expertise to dig any deeper, column inches translate into credibility. If everybody's talking about Ushahidi, it must be doing a great job – right?

Maybe.

Ushahidi is the result of three important trends:

  1. Increased availability and utility of spatial data;
  2. Rapid growth of communication infrastructure, particularly mobile telephony; and
  3. Convergence of networks based on that infrastructure on Internet access.

Given those trends, projects like Ushahidi may be inevitable rather than unexpected, but inevitability doesn't give us any indication of how effective these projects are. Big claims are made about the way in which crowdsourcing is changing the way in which business is done in other sectors, and now attention has turned to the humanitarian sector. John Della Volpe's short article in the Huffington Post is an example of such claims:

"If a handful of social entrepreneurs from Kenya could create an open-source "social mapping" platform that successfully tracks and sheds light on violence in Kenya, earthquake response in Chile and Haiti, and the oil spill in the Gulf -- what else can we use it for?"

The key word in that sentence is “successfully”. There isn’t any evidence that Ushahidi “successfully” carried out these functions in these situations; only that an instance of the Ushahidi platform was set up. This is an extremely low bar to clear to achieve “success”, like claiming that a new business was successful because it had set up a website.  There has lately been an unfounded belief that the transformative effects of the latest technology are positively inevitable and inevitably positive, simply by virtue of this technology’s existence.

2. What does Successful Crowdsourcing Look Like?

To be fair, it's hard to know what would constitute “success” for crowdsourcing in emergencies. In the case of Ushahidi, we could look at how many reports are posted on any given instance – but that record is disappointing, and the number of submissions for each Ushahidi instance is exceedingly small in comparison to the size of the affected population – including Haiti, where Ushahidi received the most public praise for its contribution.

In any case, the number of reports posted is not in itself a useful measure of impact, since those reports might consist of recycled UN situation reports and links to the Washington Post's “Your Earthquake Photos” feature.  What we need to know is whether the service had a significant positive impact in helping communities affected by disaster.  This is difficult to measure, even for experienced aid agencies whose work provides direct help.  Perhaps the best we can do is ask a simple question: if the system worked exactly as promised, what added value would it deliver?

Read More

Featured How-to

Mapping SMS Incident Reports: A Review of Ushahidi and Managing News

In this how-to, we test out two systems for SMS incident mapping. Incident mapping is a simple but powerful concept that does what it says - using SMS to report a given incidence and mapping the data geographically.

It has been used in various scenarios ranging from reports from natural disasters to tracking violent crime, citizen reporting in elections.

Read More

Featured Case Study

SMS SOS: Reporting Gender-Based Violence in Haiti

Since the devastating earthquake in Haiti in January, thousands of internally displaced persons are living in camps, where it is often not easy to report incidences of violence. An ongoing project from Survivors Connect uses mobile phones to support camp managers and community leaders to protect women and encourage people to report incidences. The project, called Ayiti SMS SOS -- Ayiti comes from the Creole word for Haiti -- allows individuals to submit reports via SMS.

Survivors Connect is an organization that works to enhance anti-trafficking movements around the world through the use of new media and connective technology. Survivors Connect partners with grassroots organizations to incorporate new technology to help improve on-the-ground efforts toward protection, prosecution, and prevention.

Read More

Featured Case Study

Nokia Data Gathering

Nokia Data Gathering provides two pieces of software:

  • Server-side software that lets users create surveys that can be sent to the mobile phones.
  • Mobile phone software that can download the exact surveys, allow data collectors to fill them out, and send back to the server where the surveys were created. The survey responses can include camera and GPS data when available.
  • Servier-side software to analyze the data that comes back in from mobile phones, and GUIs (graphical user interfaces) to manage devices, survey creation, as well as data analysis.

Read More