This study explores how pastoralists respond to changing environments in Somaliland . An agent-based model is used to simulate the movement of nomadic pastoralists based on typologically diverse, historical data of environmental, interpersonal, and transactional variables in Somaliland and Puntland between 2008 and 2018. Through subsequent application of spatial analysis such as choropleth maps, kernel density mapping, and standard deviational ellipses, we characterize the resultant pastoralist population distribution in response to these variables.
This guide outlines the tools and techniques to establish a foundation for visual analysis and discusses how these techniques can assist in identifying notable landscape features pertaining to agriculture, settlements, water catchment, and livestock in northern Somalia. To the knowledge of the Signal Program analysts, there is no systematic open-source remote sensing documentation of frequently occurring natural and man-made features in Somalia. This guide helps users to identify and analyze these features, particularly humanitarian practitioners supporting activities in the Horn of Africa. This project, titled “Children on the Move: Using Satellite Data Analysis in Conflict/Famine-Affected Areas,” was carried out in collaboration with UNICEF, the GovLab at NYU, and the Signal Program on Human Security and Technology at Harvard Humanitarian Initiative.
Humanitarians today lack sufficient ethical guidance adapted to the realities of humanitarianism in the information age to responsibly navigate the challenges and realities of the digital age.
The Signal Code: Ethical Obligations for Humanitarian Information Activities translates and applies the foundational sources of ethical humanitarian practice to humanitarian information activities, such as mobile devices, WiFi provision, data collection, storage and analysis, and biometric registration tools. This document represents the first effort to provide humanitarian practitioners and researchers with comprehensive ethical guidance for this increasingly commonplace and critical area of humanitarian practice.
The Obligations builds upon the rights-based approach first articulated in the January 2017 publication of The Signal Code: A Human Rights Approach to Information during Crisis. The Code seeks to identify extant international humanitarian and human rights law and standards, as well as other relevant and accepted international instruments, that provide all people basic rights pertaining to the access to, and provision and treatment of, information during a crisis. The first volume of the Code is employed as an underlying framework for how the Obligations is structured and from where the obligations are, in part, derived.
For more information please visit https://signalcode.org/obligations/
The Signal Code is the result of a six month study by the Signal Program on Human Security and Technology at the Harvard Humanitarian Initiative (HHI) at the Harvard T.H. Chan School of Public Health to identify what human rights people have to information during disasters. The Signal Code identifies five rights from multiple sources of international human rights and humanitarian law and standards that already exist and apply to humanitarian information activities (HIAs).
These five rights are the following: 1. The Right to Information; 2. The Right to Protection; 3. The Right to Privacy and Security; 4. The Right to Data Agency; and 5. The Right to Rectification and Redress. The goal of the Signal Code is to provide a foundation for the future development of ethical obligations for humanitarian actors and minimum technical standards for the safe, ethical, and responsible conduct of HIAs before, during, and after disasters strike.
Signal Program Standards and Ethics Series - Issue 1
Data are a central component of humanitarian response. Frequently, however, there is a disconnect between data, decision-making and response. Informed decisions need to be made in the first hours and days of an emergency, and if the elements to effectively gather, manage and analyse data are not in place before a crisis, then the evidence needed to inform response will not be available quickly enough to matter. What's more, a lack of readiness to use data can even cause "big data disasters".
Organizations need to be prepared to responsibly and effectively deploy and manage data collection and analysis tools, techniques, skilled staff and strategies in a specific operational context to be ready before a disaster strikes. This process is called “data preparedness”. The concept of data preparedness complements and expands on existing OCHA principles on the use of information management in disaster scenarios. This paper, which was reviewed by OCHA and other UN organizations, seeks to provide a blueprint for how the concept of data preparedness may be put into practice by members of the humanitarian data ecosystem. It is the first issue in the Signal Program's ongoing "Standards and Ethics" white paper series.
Building data responsibility into humanitarian action is the first UN Office for Coordination of Humanitarian Affairs think brief to explore what constitutes the responsible use of data in humanitarian response. It was co written by the Signal Program, NYU Gov Lab and the Center for Innovation at Leiden University.
This paper identifies the critical issues humanitarians face as they strive to responsibly use data in operations. It also proposes an initial framework for data responsibility.
At present, accepted methodologies for wind disaster damage assessments rely almost exclusively on responders having ground access to the affected area to document damage to housing structures. This approach can prove both time consuming and inefficient, and does not support the use of drones and satellites.
Geospatially-based damage assessments offer potential improvements to this process in terms of providing responding agencies with previously unavailable information about hard to reach, often non-permissive environments, at a scale and speed not possible through ground-based counts of damaged structures.
This guide provides the first standard method for conducting these types of damage assessments through the analysis of drone and satellite imagery. The “BAR Methodology” has been developed by the Signal Program on Human Security and Technology at HHI to address this critical gap in this evolving area humanitarian practice.
In October 2014, the European Interagency Security Forum (EISF) launched a knowledge hub on communications technology and security risk management. The first publication of this project brought together 17 authors who analyzed in 11 articles how communications technology is changing the operational environment, the ways in which communications technology is creating new opportunities for humanitarian agencies to respond to emergencies, and the impact that new programs have on how we manage security.
The most recent contribution to the project comes from the Signal Program on Human Security and Technology at the Harvard Humanitarian Initiative. In their article, al Achkar, Card and Raymond explore what constitutes ‘humanitarian communications space’, and the challenges to agreeing a common definition of ‘humanitarian communication’ and its protection under international law.
During armed conflict in East and Central Africa civilian dwellings are intentionally targeted and razed. These traditional civilian dwellings are known as tukuls which are primarily mud and thatch huts.
The intentional destruction of these dwellings, given their prevalence in these regions, is often one of the only available indicators of the intentional targeting of civilians observable in satellite imagery.
This field has lacked accepted methodologies for performing this type of analysis. This guide is the first to focus on tukuls because they are a uniquely valuable metric for both documenting attacks on civilians during armed conflicts and assessing potential mass displacement that can result from these incidents.
This guide is the second in a series of Satellite Imagery Interpretation Guides. Future satellite imagery interpretation guides from the Signal Program may focus on other, related phenomena and structures present in similar operational contexts.
Satellite Imagery Interpretation Guide: Displaced Population Camps is intended to help address the absence of public and standardized training resources for those seeking to use high resolution satellite imagery in support of refugee/IDP assistance operations. Students, general audiences, and volunteers studying and analyzing satellite imagery of displaced population camps may find this training resource beneficial.
The guide provides case studies of displaced population camps in East Africa and the Middle East. Dimensions, colors, shapes, and, when possible, unique identifying features of objects, including civilian shelters and humanitarian agency infrastructure, visible in high resolution imagery of the camps are identified. Objects are organized according to the United Nations Office for the Coordination of Humanitarian Affairs humanitarian cluster system and three other categories unique to this guide. Imagery provided by Google's Skybox Imaging for the creation of this guide can be explored online by following the directions included inside the report.
Remote sensing can provide unique, sometimes otherwise unavailable, information about human rights violations occurring in non-permissive environments, over large geographic areas, and across long and multiple timeframes. The evidentiary potential of RS analysis currently appears not to be fully exploited by international criminal justice mechanisms. The purpose of this paper is (A) to illustrate the nature of RS analysis and its evidentiary potential and limitations, (B) to identify the key, repeating factors across regional and cultural contexts and types of crimes that influence its limited use in court, and (C) to explore steps and strategies for overcoming the challenges.
The aim of this article is to highlight potential methods applicable to a standard forensic approach for the analysis of high-resolution satellite imagery that may contain evidence of alleged mass atrocities. The primary method employed is the retrospective analysis of a case study involving the use of high-resolution satellite imagery analysis to document alleged mass atrocities. The case study utilized herein is the Satellite Sentinel Project’s reporting on the May 2011 sacking of Abyei Town by Government of Sudan-aligned armed actors. In the brief case study, categories of objects, patterns of activities, and types of alleged mass atrocity events are applied the Abyei Town incident.
This article documents the development and initial use case of the GRID (Ground Reporting through Imagery Delivery) methodology by the Harvard Humanitarian Initiative (HHI). GRID was created to support corroboration of witness testimony of mass atrocity related-events using satellite imagery analysis. A repeating analytic limitation of employing imagery for this purpose is that differences in the geographic knowledge of a witness and an imagery analyst can limit or impede corroboration.