Tag Archives: Conduct

Code of Conduct: Cyber Crowdsourcing for Good

There is currently no unified code of conduct for digital crowdsourcing efforts in the development, humanitarian or human rights space. As such, we propose the following principles (displayed below) as a way to catalyze a conversation on these issues and to improve and/or expand this Code of Conduct as appropriate.

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This initial draft was put together by Kate ChapmanBrooke Simons and myself. The link above points to this open, editable Google Doc. So please feel free to contribute your thoughts by inserting comments where appropriate. Thank you.

An organization that launches a digital crowdsourcing project must:

  • Provide clear volunteer guidelines on how to participate in the project so that volunteers are able to contribute meaningfully.
  • Test their crowdsourcing platform prior to any project or pilot to ensure that the system will not crash due to obvious bugs.
  • Disclose the purpose of the project, exactly which entities will be using and/or have access to the resulting data, to what end exactly, over what period of time and what the expected impact of the project is likely to be.
  • Disclose whether volunteer contributions to the project will or may be used as training data in subsequent machine learning research.
  • Not ask volunteers to carry out any illegal tasks.
  • Explain any risks (direct and indirect) that may come with volunteer participation in a given project. To this end, carry out a risk assessment and produce corresponding risk mitigation strategies.
  • Clearly communicate if the results of volunteer tasks will or are likely to be sold to partners/clients.
  • Limit the level of duplication required (for data quality assurance) to a reasonable number based on previous research and experience. In sum, do not waste volunteers’ time and do not offer tasks that are not meaningful. When all tasks have been carried, inform volunteers accordingly.
  • Be fully transparent on the results of the project even if the results are poor or unusable.
  • Only launch a full-scale crowdsourcing project if they are not able to analyze the results and deliver the findings within a timeframe that provides added value to end-users of the data.

An organization that launches a digital crowdsourcing project should:

  • Share as much of the resulting data with volunteers as possible without violating data privacy or the principle of Do No Harm.
  • Enable volunteers to opt out of having their tasks contribute to subsequent machine learning research. Provide digital volunteers with the option of having their contributions withheld from subsequent machine learning studies.
  • Assess how many digital volunteers are likely to be needed for a project and recruit appropriately. Using additional volunteers just because they are available is not appropriate. Should recruitment nevertheless exceed need, adjust project to inform volunteers as soon as their inputs are no longer needed, and possibly give them options for redirecting their efforts.
  • Explain that the same crowdsourcing task (microtask) may/will be given to multiple digital volunteers for data control purposes. This often reassures volunteers who initially lack confidence when contributing to a project.


Update:
See also http://crowdsourcing-code.com

An Operational Check-List for Flying UAVs in Humanitarian Settings

The Humanitarian UAV Network (UAViators) has taken off much faster than I expected. More than 240 members in 32 countries have joined the network since it’s launch just a few weeks ago.

UAViators Logo

I was also pleasantly surprised by the number of humanitarian organizations that got in touch with me right after the launch. Many of them are just starting to explore this space. And I found it refreshing that every single one of them considers the case for humanitarian UAVs to be perfectly obvious. Almost all of the groups also mentioned how they would have made use of UAVs in recent disasters. Some are even taking steps now to set up rapid-response UAV teams.

Credit: MicroDrones

My number one priority after launching the network was to start working on a Code of Conduct to guide the use of UAVs in humanitarian settings—the only one of it’s kind as far as I know. While I had initially sought to turn this Code of Conduct into a check-list, it became clear from the excellent feedback provided by members and the Advisory Board that we needed two separate documents. So my RA’s and I have created a more general Code of Conduct along with a more detailed operational check-list for flying UAVs in humanitarian settings. You’ll find the check-list here. Big thanks to Advisory Board member Gene Robinson for letting me draw on his excellent book for this check-list. Both the Code of Conduct and Check-List will continue to be updated on a monthly basis, so please do chime in and help us improve them.

One of my main goals for 2014 is to have the Code of Conduct officially and publicly endorsed by both UAV companies and humanitarian organizations alike. This may end up being a time-consuming process, but this endorsement is a must if the Code of Conduct is to become an established policy document. Another one of my goals is to organize a Humanitarian UAV Strategy Meeting in November that will bring together a select number of experts in Humanitarian UAVs with seasoned humanitarian professionals from the UN and Red Cross. The purpose of this meeting is to establish closer relationships between the humanitarian and UAV communities in order to facilitate coordination and information sharing during major disasters.

Also in the works for this year is a disaster response simulation with partners in the Philippines (including local government). The purpose of this simulation will be to rapidly deploy UAVs over a made-believe disaster area; then to upload the thousands of aerial images to MicroMappers to rapidly crowdsource the tagging of features-of-interest. Our (ambitious) hope is that the entire process can be done within a matter of hours. The simulation will help us identify the weak-links in our workflows. Our Filipino partners will also be using the resulting tagged images to create more accurate machine learning classifiers for automated feature detection. This will help them accelerate the analysis of aerial imagery during real disasters.

So stay tuned for updates, which will be posted on iRevolution and UAViators.

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See also:

  • How UAVs are Making a Difference in Disaster Response [link]
  • Humanitarians Using UAVs for Post Disaster Recovery [link]
  • Grassroots UAVs for Disaster Response [link]
  • Using UAVs for Search & Rescue [link]
  • Crowdsourcing Analysis of UAV Imagery for Search/Rescue [link]

Launching: SMS Code of Conduct for Disaster Response

Shortly after the devastating Haiti Earthquake of January 12, 2010, I published this blog post on the urgent need for an SMS code of conduct for disaster response. Several months later, I co-authored this peer-reviewed study on the lessons learned from the unprecedented use of SMS following the Haiti Earth-quake. This week, at the Mobile World Congress (MWC 2013) in Barcelona, GSMA’s Disaster Response Program organized two panels on mobile technology for disaster response and used the event to launch an official SMS Code of Conduct for Disaster Response (PDF). GSMA members comprise nearly 800 mobile operators based in more than 220 countries.

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Thanks to Kyla Reid, Director for Disaster Response at GSMA, and to Souktel’s Jakob Korenblummy calls for an SMS code of conduct were not ignored. The three of us spent a considerable amount of time in 2012 drafting and re-drafting a detailed set of principles to guide SMS use in disaster response. During this process, we benefited enormously from many experts on the mobile operators side and the humanitarian community; many of whom are at MWC 2013 for the launch of the guidelines. It is important to note that there have been a number of parallel efforts that our combined work has greatly benefited from. The Code of Conduct we launched this week does not seek to duplicate these important efforts but rather serves to inform GSMA members about the growing importance of SMS use for disaster response. We hope this will help catalyze a closer relationship between the world’s leading mobile operators and the international humanitarian community.

Since the impetus for this week’s launch began in response to the Haiti Earth-quake, I was invited to reflect on the crisis mapping efforts I spearheaded at the time. (My slides for the second panel organized by GSMA are available here. My more personal reflections on the 3rd year anniversary of the earthquake are posted here). For several weeks, digital volunteers updated the Ushahidi-Haiti Crisis Map (pictured above) with new information gathered from hundreds of different sources. One of these information channels was SMS. My colleague Josh Nesbit secured an SMS short code for Haiti thanks to a tweet he posted at 1:38pm on Jan 13th (top left in image below). Several days later, the short code (4636) was integrated with the Ushahidi-Haiti Map.

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We received about 10,000 text messages from the disaster-affected population during the during the Search and Rescue phase. But we only mapped about 10% of these because we prioritized the most urgent and actionable messages. While mapping these messages, however, we had to address a critical issue: data privacy and protection. There’s an important trade-off here: the more open the data, the more widely useable that information is likely to be for professional disaster responders, local communities and the Diaspora—but goodbye privacy.

Time was not a luxury we had; an an entire week had already passed since the earthquake. We were at the tail end of the search and rescue phase, which meant that literally every hour counted for potential survivors still trapped under the rubble. So we immediately reached out to 2 trusted lawyers in Boston, one of them a highly reputable Law Professor at The Fletcher School of Law and Diplomacy who also a specialist on Haiti. You can read the lawyers’ written email replies along with the day/time they were received on the right-hand side of the slide. Both lawyers opined that consent was implied vis-à-vis the publishing of personal identifying information. We shared this opinion with all team members and partners working with us. We then made a joint decision 24 hours later to move ahead and publish the full content of incoming messages. This decision was supported by an Advisory Board I put together comprised of humanitarian colleagues from the Harvard Humanitarian Initiative who agreed that the risks of making this info public were minimal vis-à-vis the principle of Do No HarmUshahidi thus launched a micro-tasking platform to crowdsource the translation efforts and hosted this on 4636.Ushahidi.com [link no longer live], which volunteers from the Diaspora used to translate the text messages.

I was able to secure a small amount of funding in March 2010 to commission a fully independent evaluation of our combined efforts. The project was evaluated a year later by seasoned experts from Tulane University. The results were mixed. While the US Marine Corps publicly claimed to have saved hundreds of lives thanks to the map, it was very hard for the evaluators to corroborate this infor-mation during their short field visit to Port-au-Prince more than 12 months after the earthquake. Still, this evaluation remains the only professional, independent and rigorous assessment of Ushahidi and 4636 to date.

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The use of mobile technology for disaster response will continue to increase for years to come. Mobile operators and humanitarian organizations must therefore be pro-active in managing this increase demand by ensuring that the technology is used wisely. I, for one, never again want to spend 24+ precious hours debating whether or not urgent life-and-death text messages can or cannot be mapped because of uncertainties over data privacy and protection—24 hours during a Search and Rescue phase is almost certain to make the difference between life and death. More importantly, however, I am stunned that a bunch of volunteers with little experience in crisis response and no affiliation whatsoever to any established humanitarian organization were able to secure and use an official SMS short code within days of a major disaster. It is little surprise that we made mistakes. So a big thank you to Kyla and Jakob for their leadership and perseverance in drafting and launching GSMA’s official SMS Code of Conduct to make sure the same mistakes are not made again.

While the document we’ve compiled does not solve every possible challenge con-ceivable, we hope it is seen as a first step towards a more informed and responsible use of SMS for disaster response. Rest assured that these guidelines are by no means written in stone. Please, if you have any feedback, kindly share them in the comments section below or privately via email. We are absolutely committed to making this a living document that can be updated.

To connect this effort with the work that my CrisisComputing Team and I are doing at QCRI, our contact at Digicel during the Haiti response had given us the option of sending out a mass SMS broadcast to their 2 million subscribers to get the word out about 4636. (We had thus far used local community radio stations). But given that we were processing incoming SMS’s manually, there was no way we’d be able to handle the increased volume and velocity of incoming text messages following the SMS blast. So my team and I are exploring the use of advanced computing solutions to automatically parse and triage large volumes of text messages posted during disasters. The project, which currently uses Twitter, is described here in more detail.

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