Global

Selected Readings on Data and Humanitarian Response

Curated on April 3, 2016May 29, 2019 by Stefaan Verhulst

By Prianka Srinivasan and Stefaan G. Verhulst *

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data and humanitarian response was originally published in 2016.

Data, when used well in a trusted manner, allows humanitarian organizations to innovate how to respond to emergency events, including better coordination of post-disaster relief efforts, the ability to harness local knowledge to create more targeted relief strategies, and tools to predict and monitor disasters in real time. Consequently, in recent years both multinational groups and community-based advocates have begun to integrate data collection and evaluation strategies into their humanitarian operations, to better and more quickly respond to emergencies. However, this movement poses a number of challenges. Compared to the private sector, humanitarian organizations are often less equipped to successfully analyze and manage big data, which pose a number of risks related to the security of victims’ data. Furthermore, complex power dynamics which exist within humanitarian spaces may be further exacerbated through the introduction of new technologies and big data collection mechanisms. In the below we share:

Selected Reading List (summaries and hyperlinks)
Annotated Selected Reading List
Additional Readings

Selected Reading List (summaries in alphabetical order)

Data and Humanitarian Response

John Karlsrud – Peacekeeping 4.0: Harnessing the Potential of Big Data, Social Media, and Cyber Technologies – Recommends that UN peacekeeping initiatives should better integrate big data and new technologies into their operations, adopting a “Peacekeeping 4.0” for the modern world.
Fancesco Mancini, International Peace Institute – New Technology and the prevention of Violence and Conflict – Explores the ways in which new tools available in communications technology can assist humanitarian workers in preventing violence and conflict.
Patrick Meier – Digital Humanitarians- How Big Data is changing the face of humanitarian response – Profiles the emergence of ‘Digital Humanitarians’—humanitarian workers who are using big data, crowdsourcing and new technologies to transform the way societies respond to humanitarian disasters.
Andrew Robertson and Steve Olson (USIP) – Using Data Sharing to Improve Coordination in Peacebuilding – Summarises the findings of a United States Institute of Peace workshop which investigated the use of data-sharing systems between government and non-government actors in conflict zones. It identifies some of the challenges and benefits of data-sharing in peacebuilding efforts.
United Nations Independent Expert Advisory Group on a Data Revolution for Sustainable Development – A World That Counts, Mobilizing the Data Revolution – Compiled by a group of 20 international experts, this report proposes ways to improve data management and monitoring, whilst mitigating some of the risks data poses.
Katie Whipkey and Andrej Verity – Guidance for Incorporating Big Data into Humanitarian Operations – Created as part of the Digital Humanitarian Network with the support of UN-OCHA, this is a manual for humanitarian organizations looking to strategically incorporate Big Data into their work.

Risks of Using Big Data in Humanitarian Context

Kate Crawford and Megan Finn – The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters – Analyzes the use of big data techniques following a crisis event, arguing that a reliance of social and mobile data can lead to significant oversights and ethical concerns in the wake of humanitarian disasters.
Katja Lindskov Jacobsen – Making design safe for citizens: A hidden history of humanitarian experimentation – Argues that the UNHCR’s use of iris recognition technology in 2002 and 2007 during the repatriation of Afghan refugees from Pakistan constitutes a case of “humanitarian experimentation.” It questions this sort of experimentation which compromises the security of refugees in the pursuit of safer technologies for the rest of the world.
Responsible Data Forum – Responsible Data Reflection Stories: an Overview – compiles various stories sourced by the Responsible Data Forum blog relating to data challenges faced by advocacy organizations, and draws recommendations based on these cases.
Kristin Bergtora Sandvik – The humanitarian cyberspace: shrinking space or an expanding frontier? – Provides a detailed account of the development of a “humanitarian cyberspace” and how information and communication technologies have been further integrated into humanitarian operations since the mid-1990s.

Annotated Selected Reading List (in alphabetical order)

Karlsrud, John. “Peacekeeping 4.0: Harnessing the Potential of Big Data, Social Media, and Cyber Technologies.” Cyberspace and International Relations, 2013. http://bit.ly/235Qb3e

This chapter from the book “Cyberspace and International Relations” suggests that advances in big data give humanitarian organizations unprecedented opportunities to prevent and mitigate natural disasters and humanitarian crises. However, the sheer amount of unstructured data necessitates effective “data mining” strategies for multinational organizations to make the most use of this data.
By profiling some civil-society organizations who use big data in their peacekeeping efforts, Karlsrud suggests that these community-focused initiatives are leading the movement toward analyzing and using big data in countries vulnerable to crisis.
The chapter concludes by offering ten recommendations to UN peacekeeping forces to best realize the potential of big data and new technology in supporting their operations.

Mancini, Fancesco. “New Technology and the prevention of Violence and Conflict.” International Peace Institute, 2013. http://bit.ly/1ltLfNV

This report from the International Peace Institute looks at five case studies to assess how information and communications technologies (ICTs) can help prevent humanitarian conflicts and violence. Their findings suggest that context has a significant impact on the ability for these ICTs for conflict prevention, and any strategies must take into account the specific contingencies of the region to be successful.
The report suggests seven lessons gleaned from the five case studies:
- New technologies are just one in a variety of tools to combat violence. Consequently, organizations must investigate a variety of complementary strategies to prevent conflicts, and not simply rely on ICTs.
- Not every community or social group will have the same relationship to technology, and their ability to adopt new technologies are similarly influenced by their context. Therefore, a detailed needs assessment must take place before any new technologies are implemented.
- New technologies may be co-opted by violent groups seeking to maintain conflict in the region. Consequently, humanitarian groups must be sensitive to existing political actors and be aware of possible negative consequences these new technologies may spark.
- Local input is integral to support conflict prevention measures, and there exists need for collaboration and awareness-raising with communities to ensure new technologies are sustainable and effective.
- Information shared between civil-society has more potential to develop early-warning systems. This horizontal distribution of information can also allow communities to maintain the accountability of local leaders.

Meier, Patrick. “Digital humanitarians: how big data is changing the face of humanitarian response.” Crc Press, 2015. http://amzn.to/1RQ4ozc

This book traces the emergence of “Digital Humanitarians”—people who harness new digital tools and technologies to support humanitarian action. Meier suggests that this has created a “nervous system” to connect people from disparate parts of the world, revolutionizing the way we respond to humanitarian crises.
Meier argues that such technology is reconfiguring the structure of the humanitarian space, where victims are not simply passive recipients of aid but can contribute with other global citizens. This in turn makes us more humane and engaged people.

Robertson, Andrew and Olson, Steve. “Using Data Sharing to Improve Coordination in Peacebuilding.” United States Institute for Peace, 2012. http://bit.ly/235QuLm

This report functions as an overview of a roundtable workshop on Technology, Science and Peace Building held at the United States Institute of Peace. The workshop aimed to investigate how data-sharing techniques can be developed for use in peace building or conflict management.
Four main themes emerged from discussions during the workshop:
- “Data sharing requires working across a technology-culture divide”—Data sharing needs the foundation of a strong relationship, which can depend on sociocultural, rather than technological, factors.
- “Information sharing requires building and maintaining trust”—These relationships are often built on trust, which can include both technological and social perspectives.
- “Information sharing requires linking civilian-military policy discussions to technology”—Even when sophisticated data-sharing technologies exist, continuous engagement between different stakeholders is necessary. Therefore, procedures used to maintain civil-military engagement should be broadened to include technology.
- “Collaboration software needs to be aligned with user needs”—technology providers need to keep in mind the needs of its users, in this case peacebuilders, in order to ensure sustainability.

United Nations Independent Expert Advisory Group on a Data Revolution for Sustainable Development. “A World That Counts, Mobilizing the Data Revolution.” 2014. https://bit.ly/2Cb3lXq

This report focuses on the potential benefits and risks data holds for sustainable development. Included in this is a strategic framework for using and managing data for humanitarian purposes. It describes a need for a multinational consensus to be developed to ensure data is shared effectively and efficiently.
It suggests that “people who are counted”—i.e., those who are included in data collection processes—have better development outcomes and a better chance for humanitarian response in emergency or conflict situations.

Katie Whipkey and Andrej Verity. “Guidance for Incorporating Big Data into Humanitarian Operations.” Digital Humanitarian Network, 2015. http://bit.ly/1Y2BMkQ

This report produced by the Digital Humanitarian Network provides an overview of big data, and how humanitarian organizations can integrate this technology into their humanitarian response. It primarily functions as a guide for organizations, and provides concise, brief outlines of what big data is, and how it can benefit humanitarian groups.
The report puts forward four main benefits acquired through the use of big data by humanitarian organizations: 1) the ability to leverage real-time information; 2) the ability to make more informed decisions; 3) the ability to learn new insights; 4) the ability for organizations to be more prepared.
It goes on to assess seven challenges big data poses for humanitarian organizations: 1) geography, and the unequal access to technology across regions; 2) the potential for user error when processing data; 3) limited technology; 4) questionable validity of data; 5) underdeveloped policies and ethics relating to data management; 6) limitations relating to staff knowledge.

Risks of Using Big Data in Humanitarian Context
Crawford, Kate, and Megan Finn. “The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters.” GeoJournal 80.4, 2015. http://bit.ly/1X0F7AI

Crawford & Finn present a critical analysis of the use of big data in disaster management, taking a more skeptical tone to the data revolution facing humanitarian response.
They argue that though social and mobile data analysis can yield important insights and tools in crisis events, it also presents a number of limitations which can lead to oversights being made by researchers or humanitarian response teams.
Crawford & Finn explore the ethical concerns the use of big data in disaster events introduces, including issues of power, privacy, and consent.
The paper concludes by recommending that critical data studies, such as those presented in the paper, be integrated into crisis event research in order to analyze some of the assumptions which underlie mobile and social data.

Jacobsen, Katja Lindskov (2010) Making design safe for citizens: A hidden history of humanitarian experimentation. Citizenship Studies 14.1: 89-103. http://bit.ly/1YaRTwG

This paper explores the phenomenon of “humanitarian experimentation,” where victims of disaster or conflict are the subjects of experiments to test the application of technologies before they are administered in greater civilian populations.
By analyzing the particular use of iris recognition technology during the repatriation of Afghan refugees to Pakistan in 2002 to 2007, Jacobsen suggests that this “humanitarian experimentation” compromises the security of already vulnerable refugees in order to better deliver biometric product to the rest of the world.

Responsible Data Forum. “Responsible Data Reflection Stories: An Overview.” http://bit.ly/1Rszrz1

This piece from the Responsible Data forum is primarily a compilation of “war stories” which follow some of the challenges in using big data for social good. By drawing on these crowdsourced cases, the Forum also presents an overview which makes key recommendations to overcome some of the challenges associated with big data in humanitarian organizations.
It finds that most of these challenges occur when organizations are ill-equipped to manage data and new technologies, or are unaware about how different groups interact in digital spaces in different ways.

Sandvik, Kristin Bergtora. “The humanitarian cyberspace: shrinking space or an expanding frontier?” Third World Quarterly 37:1, 17-32, 2016. http://bit.ly/1PIiACK

This paper analyzes the shift toward more technology-driven humanitarian work, where humanitarian work increasingly takes place online in cyberspace, reshaping the definition and application of aid. This has occurred along with what many suggest is a shrinking of the humanitarian space.
Sandvik provides three interpretations of this phenomena:
- First, traditional threats remain in the humanitarian space, which are both modified and reinforced by technology.
- Second, new threats are introduced by the increasing use of technology in humanitarianism, and consequently the humanitarian space may be broadening, not shrinking.
- Finally, if the shrinking humanitarian space theory holds, cyberspace offers one example of this, where the increasing use of digital technology to manage disasters leads to a contraction of space through the proliferation of remote services.

Additional Readings on Data and Humanitarian Response

Kristin Bergtora Sandvik, et al. – Humanitarian technology: a critical research agenda. – Takes a critical look at the field of humanitarian technology, analyzing what challenges this poses to post-disaster and conflict environment.
Kristin Bergtora Sandvik – “The Risks of Technological Innovation.” – Suggests that despite the evident benefits such technology presents, it can also undermine humanitarian action and lead to “catastrophic events” themselves needing a new type of humanitarian response.
Ryan Burns – Rethinking big data in digital humanitarianism: practices, epistemologies, and social relations – Takes a critical look at the use of big data in humanitarian spaces, arguing that the advent of digital humanitarianism has profound political and social implications, and can in fact limit information available following a humanitarian crisis.
Kate Crawford – Is Data a Danger to the Developing World? – Argues that it is not simply risks to privacy that data poses to developing countries, but suggests that “data discrimination” can affect even the basic human rights of individuals, and introduce problematic power hierarchies between those who can access data and those who cannot.
Paul Currion – Eyes Wide Shut: The challenge of humanitarian biometrics – Examines the use of biometrics by humanitarian organizations and national governments, and suggests stronger accountability is needed to ensure data from marginalized groups remain protected.
Yves-Alexandre de Montjoye, Jake Kendall and Cameron F. Kerry – Enabling Humanitarian Use of Mobile Phone Data – Analyzes how data from mobile communication can provide insights into the spread of infectious disease, and how such data can also compromise individual privacy.
Michael F. Goodchild and Alan Glennon – Crowdsourcing geographic information for disaster response: a research frontier – Explores how though volunteered geographic data may be messy and unreliable, it can provide many benefits in emergency situations.
Raphael Horler – Crowdsourcing in the Humanitarian Network – An Analysis of the Literature – A Bachelor thesis which explores the increasing use of crowdsourced data by organizations involved in disaster response, investigating some of the challenges such use of crowdsourcing poses.
Gus Hosein and Carly Nyst – Aiding Surveillance – Suggests that the unregulated use of technologies and surveillance systems by humanitarian organizations create systems which pose serious threats to individuals’ rights, particularly their right to privacy.
L. Jacobsen – The Politics of Humanitarian Technology: Good Intentions, Unintended Consequences and Insecurity – Raises concerns about the rise of data collection and digital technology in humanitarian aid organizations, arguing that its unquestioned prominence creates new structures of power and control, which remain hidden under the rubric of liberal humanitarianism.
Mirca Madianou – Digital Inequality and Second-Order Disasters: Social Media in the Typhoon Haiyan Recovery – Taking the effects of Typhoon Haiyan as a key case study, this paper investigates how digital inequalities and an unequal access to data can exacerbate existing social inequalities in a post-disaster environment.
Sean Martin McDonald – Ebola: A Big Data Disaster. Privacy, Property, and the Law of Disaster Experimentation – Analyzes the challenges and privacy risks of using unregulated data in public health coordination by taking the use of Call Detail Record (CDR) data during the Ebola crisis as a key case study.
National Academy of Engineering – Sensing and Shaping Emerging Conflicts: Report of a Joint Workshop of the National Academy of Engineering and the United States Institute of Peace: Roundtable on Technology, Science, and Peacebuilding – Building on the overview report of the United States Institute of Peace workshop examines what opportunities new technologies and data sharing provides for humanitarian groups.
Mary K.Pratt – Big Data’s role in humanitarian aid – A Computer World article which provides an overview of Big Data, and how it is improving the efficiency and efficacy of humanitarian response, especially in conflict zones.
Bertrand Taithe Róisínand and Roger Mac Ginty – Data hubris? Humanitarian information systems and the mirage of technology – Specifically looks at visual technology and crisis mapping, and big data, and suggests that there exists an over-enthusiasm in these claims made on behalf of technologically advanced humanitarian information systems.
Linnet Taylor – No place to hide? The ethics and analytics of tracking mobility using mobile phone data – Examines the ethical problems associated with the tracking of mobile phone data, especially in low or middle-income countries.
UN Office for the Coordination of Humanitarian Affairs (UN-OCHA) – Big data and humanitarianism: 5 things you need to know – Briefly outlines five issues that face humanitarian organizations as they integrate big data into their operations.
United Nations Global Pulse – Mapping the Risk-Utility Landscape of Mobile Data for Sustainable Development and Humanitarian Action – Reports on a Global Pulse project (done in partnership with Massachusetts Institute of Technology) which aimed to find how aggregated mobile data can be maximized to protect privacy and provide effective support to crisis response.
The Wilson Center – Connecting Grassroots to Government for Disaster Management: Workshop Summary – Summarizes the key points drawn from a two day Wilson Center workshop, which investigated how new technologies could engage whole communities in disaster management.

* Thanks to: Kristen B. Sandvik; Zara Rahman; Jennifer Schulte; Sean McDonald; Paul Currion; Dinorah Cantú-Pedraza and the Responsible Data Listserve for valuable input.

The Bottom of the Data Pyramid: Big Data and the Global South

Curated on April 1, 2016August 3, 2018 by Stefaan Verhulst

Payal Arora at the International Journal of Communication: “To date, little attention has been given to the impact of big data in the Global South, about 60% of whose residents are below the poverty line. Big data manifests in novel and unprecedented ways in these neglected contexts. For instance, India has created biometric national identities for her 1.2 billion people, linking them to welfare schemes, and social entrepreneurial initiatives like the Ushahidi project that leveraged crowdsourcing to provide real-time crisis maps for humanitarian relief.

While these projects are indeed inspirational, this article argues that in the context of the Global South there is a bias in the framing of big data as an instrument of empowerment. Here, the poor, or the “bottom of the pyramid” populace are the new consumer base, agents of social change instead of passive beneficiaries. This neoliberal outlook of big data facilitating inclusive capitalism for the common good sidelines critical perspectives urgently needed if we are to channel big data as a positive social force in emerging economies. This article proposes to assess these new technological developments through the lens of databased democracies, databased identities, and databased geographies to make evident normative assumptions and perspectives in this under-examined context….(More)”.

How to train Public Entrepreneurs

Curated on March 31, 2016August 3, 2018 by Stefaan Verhulst

10 Lessons : “…The GovLab and its network of 25 world-class coaches and over 100 mentors helped 446 participants in more thana dozen US cities and thirty foreign countries to take a public interest technology project from idea to implementation. In the process, we ‘ve learned a lot about the need for new ways of training the next generation of leaders and problem solvers.

Our aim has been to aid public entrepreneurs — passionate and innovative people who wish to take advantage of new technology to do good in the world. That’s why we measure success, not by the number of participants in a class, but by the project’s participants create and the impact those projects have on communities….

Lesson 1: There is growing, and unmet, demand for training a new kind of public servant: the public entrepreneur…

Lesson 2: Tap the distributed supply of talent and expertise to accelerate learning…

Lesson 3: Create new methods for training public entrepreneurs to solve problems…

Lesson 4: Develop tools to help public interest innovators “cross the chasm” from idea to implementation…

Lesson 5: Teach collaboration and partnering for change…

Lesson 6: In order to be successful, public entrepreneurs must be able to define the problem — a skill widely lacking…

Lesson 7: Connecting innovators and alumni with one another generates a lasting public infrastructure that can help solve problems more effectively…

Lesson 8: Pedagogical priorities include making problem solving more data driven and evidence based….

Lesson 9: The demand and supply are global — which requires a global mindset and platform in order to learn what has worked elsewhere and why…

Lesson 10: Collaboration and coordination among anchor organizations is key to meeting the demand and coordinating the supply….(More)

Innovating for pro-poor services: Why politics matter

Curated on March 24, 2016May 29, 2019 by Stefaan Verhulst

Nathaniel Mason, Clare Cummings and Julian Doczi for ODI insights: “To solve sustainable development challenges, such as the provision of universal access to basic services, we need new ideas, as well as old ideas applied in new ways and new places. The pace of global innovation, particularly digital innovation, is generating optimism, positioning the world at the start of the ‘Fourth Industrial Revolution’.1 Innovation can make basic services cheaper, more accessible, more relevant and more desirable for poor people. However, we also know few innovations lead to sustainable, systemic change. The barriers the this are often political – including problems related to motivation, power and collective action. Yet, just as political factors can prevent innovations from being widely adopted, politically smart approaches can help in navigating and mitigating these challenges. And, because innovations can alter the balance of power in societies and markets, they can both provoke new and challenging politics themselves and also help unlock systemic political change. When and why does politics affect innovation? What does this mean for donors, foundations and impact investors backing innovations for development?…(More)

UN statistics commission agrees starting point for SDG oversight

Curated on March 14, 2016August 3, 2018 by Stefaan Verhulst

Emma Rumney at Public Finance: “The United Nations Statistical Commission agreed on a set of 230 preliminary indicators to measure progress towards the 17 Sustainable Development Goals published last September.

Wu Hongbo, under secretary general of the UN Department of Economic and Social Affairs, of which the UKSC is part, said “completing the indicator framework is not the end of the story – on the contrary, it is the beginning”.

Hongbo said it was necessary to acknowledge that developing a high-quality set of indicators is a technical and necessarily continuous process, “with refinements and improvements” made as “knowledge improves and new data sources become available”.

One challenge will entail the effective disaggregation of data, by income, sex, age, race, ethnicity, migratory status, disability, geographic location and more, to allow coverage of specific sectors of the population.

This will be essential if the SDGs are to be implemented successfully.

Hongbo said this will require “an unprecedented amount of data to be produced and analysed”, posing a significant challenge to national statistics systems in both the developing and developed world.

National and regional authorities will also have to develop their own indicators for regional, national and sub-national monitoring, as the global indicators won’t be able to account for different realities, capacities and levels of development.

The statistical commission will now submit its initial global indicator framework to the UN’s Economic and Social Council and General Assembly for adoption….(More)

Crowdsourcing Site Works to Detect Spread of Zika

Curated on March 12, 2016August 3, 2018 by Stefaan Verhulst

Suzanne Tracy at Scientific Computing Source: “Last month, the Flu Near You crowdsourcing tool expanded its data collection to include Zika, chikungunya and dengue symptoms, such as eye pain, yellow skin/eyes and joint/bone pain. Flu Near You is a free and anonymous Web site and mobile application that allows the public to report their health information by completing brief weekly surveys.

Created by epidemiologists at Harvard, Boston Children’s Hospital and The Skoll Global Threats Fund, the novel participatory disease surveillance tool is intended to complement existing surveillance systems by directly engaging the public in public health reporting. As such, it relies on voluntary participation from the general public, asking participants to take a few seconds each week to report whether they or their family members have been healthy or sick.

Using participant-reported symptoms, the site graphs and maps this information to provide local and national views of illness. Thousands of reports are analyzed and mapped to provide public health officials and researchers with real-time, anonymous information that could help prevent the next pandemic.

The survey, which launched in 2011, is conducted year-round for several reasons.

First, it is possible for an influenza outbreak to occur outside of the traditional flu season. For instance, the first wave of pandemic H1N1 hit in the spring of 2009. The project wants to capture any emerging outbreak, should something similar occur again.
Second, the project’s symptoms-based health forms allow it to monitor other diseases, such as the recently-added Zika, chikungunya and dengue, which may have different seasons than influenza….(More)

See also: http://flunearyou.org and video: Fight the flu. Save lives

Accelerating Discovery with New Tools and Methods for Next Generation Social Science

Curated on March 11, 2016August 3, 2018 by Stefaan Verhulst

DARPA: “The explosive growth of global digital connectivity has opened new possibilities for designing and conducting social science research. Once limited by practical constraints to experiments involving just a few dozen participants—often university students or other easily available groups—or to correlational studies of large datasets without any opportunity for determining causation, scientists can now engage thousands of diverse volunteers online and explore an expanded range of important topics and questions. If new tools and methods for harnessing virtual or alternate reality and massively distributed platforms could be developed and objectively validated, many of today’s most important and vexing challenges in social science—such as identifying the primary drivers of social cooperation, instability and resilience—might be made more tractable, with benefits for domains as broad as national security, public health, and economics.

To begin to assess the research opportunities provided by today’s web-connected world and advanced technologies, DARPA today launched its Next Generation Social Science (NGS2) program. The program aims to build and evaluate new methods and tools to advance rigorous, reproducible social science studies at scales necessary to develop and validate causal models of human social behaviors. The program will draw upon and build across a wide array of disciplines—including social sciences like sociology, economics, political science, anthropology, and psychology, as well as information and computer sciences, physics, biology and math.

As an initial focus, NGS2 will challenge researchers to develop and use these new tools and methods to identify causal mechanisms of “collective identity” formation—how a group of individuals becomes a unified whole, and how under certain circumstances that community breaks down into a chaotic mix of disconnected individuals.

“Social science has done a remarkable job of helping us understand ourselves as the highly social creatures we are, but the field has long acknowledged and rued some frustrating research limitations, including technical and logistical limits to experimentally studying large, representative populations and the challenges of replicating key studies to better understand the limits of our knowledge,” said Adam Russell, DARPA program manager. “As a result, it’s been difficult for social scientists to determine what variables matter most in explaining their observations of human social systems and to move from documenting correlation to identifying causation.”

On top of those methodological and analytic limitations, Russell said, the field is inherently challenged because of its subject matter: human beings, with all their complex variability and seeming unpredictability. “Physicists have joked about how much more difficult their field would be if atoms or electrons had personalities, but that’s exactly the situation faced by social scientists,” he said.

By developing and applying new methods and models to larger, more diverse, and more representative groups of individuals—such as through web-based global gaming and alternate reality platforms—NGS2 seeks to validate new tools that may empower social science in the same way that sophisticated telescopes and microscopes have helped advance astronomy and biology….(More)”

How tech is forcing firms to be better global citizens

Curated on March 8, 2016August 15, 2018 by Stefaan Verhulst

Catherine Lawson at the BBC: “…technology is forcing companies to up their game and interact with communities more directly and effectively….

Platforms such as Kritical Mass have certainly given a fillip to the idea of crowd-supported philanthropy, attracting individuals and corporate sponsors to its projects, whether that’s saving vultures in Kenya or bringing solar power to rural communities in west Africa.

Sponsors can offer funding, volunteers, expertise or marketing. So rather than imposing corporate ideas of “do-gooding” on communities in a patronising manner, firms can simply respond to demand.

HelpfulPeeps has pushed its volunteering platform into more than 40 countries worldwide, connecting people who want to share their time, knowledge and skills with each other for free.

In the UK, online platform Neighbourly connects community projects and charities with companies and people willing to volunteer their resources. For example, Starbucks has pledged 2,500 days of volunteering and has so far backed 70 community projects….

Judging by the strong public appetite for supporting good causes and campaigning against injustice on sites such as Change.org, Avaaz.org, JustGiving andGoFundMe, his assessment appears to be correct.

And LinkedIn says millions of members have signalled on their profiles that they want to serve on a non-profit board or use their skills to volunteer….

Tech companies in particular are offering expertise and skills to good causes as way of making a tangible difference.

For example, in January, Microsoft announced that through its new organisation,Microsoft Philanthropies, it will donate $1bn-worth (£700m) of cloud computing resources to serve non-profits and university researchers over the next three years…

And data analytics specialist Applied Predictive Technologies (APT) has offered its data-crunching skills to help the Capital Area Food Bank charity distribute food more efficiently to hungry people around the Washington DC area.

APT used data to develop a “hunger heat map” to help CAFB target resources and plan for future demand better.

In another project, APT helped The Cara Program – a Chicago-based charity providing training and job placements to people affected by homelessness or poverty – evaluate what made its students more employable….

And Launch, an open platform jointly founded by Nasa, Nike, the US Agency for International Development, and the US Department of State aims to provide support for start-ups and “inspire innovation”.

In the age of internet transparency, it seems corporates no longer have anywhere to hide – a spot of CSR whitewashing is not going to cut it anymore….(More)”.

Visualizing Potential Outbreaks of the Zika Virus

Curated on March 7, 2016May 29, 2019 by Stefaan Verhulst

Google’s Official Blog: “The recent Zika virus outbreak has caused concern around the world. We’ve seen more than a 3,000 percent increase in global search interest since November, and last month, the World Health Organization (WHO) declared a Public Health Emergency. The possible correlation with Zika, microcephaly and other birth defects is particularly alarming.

But unlike many other global pandemics, the spread of Zika has been harder to identify, map and contain. It’s believed that 4 in 5 people with the virus don’t show any symptoms, and the primary transmitter for the disease, the Aedes mosquito species, is both widespread and challenging to eliminate. That means that fighting Zika requires raising awareness on how people can protect themselves, as well as supporting organizations who can help drive the development of rapid diagnostics and vaccines. We also have to find better ways to visualize the threat so that public health officials and NGO’s can support communities at risk….

A volunteer team of Google engineers, designers, and data scientists is helping UNICEF build a platform to process data from different sources (i.e., weather and travel patterns) in order to visualize potential outbreaks. Ultimately, the goal of this open source platform is to identify the risk of Zika transmission for different regions and help UNICEF, governments and NGO’s decide how and where to focus their time and resources. This set of tools is being prototyped for the Zika response, but will also be applicable to future emergencies….

We already include robust information for 900+ health conditions directly on Search for people in the U.S. We’ve now also added extensive information about Zika globally in 16 languages, with an overview of the virus, symptom information, and Public Health Alerts from that can be updated with new information as it becomes available.

We’re also working with popular YouTube creators across Latin America, including Sesame Street and Brazilian physician Drauzio Varella, to raise awareness about Zika prevention via their channels.

We hope these efforts are helpful in fighting this new public health emergency, and we will continue to do our part to help combat this outbreak.

And if you’re curious about what that 3,000 percent search increase looks like, take a look:….(More)

Ideas Help No One on a Shelf. Take Them to the World

Curated on March 2, 2016August 3, 2018 by Stefaan Verhulst

Tina Rosenberg at The New York Times: “Have you thought of a clever product to mitigate climate change? Did you invent an ingenious gadget to light African villages at night? Have you come up with a new kind of school, or new ideas for lowering the rate of urban shootings?

Thanks, but we have lots of those.

Whatever problem possesses you, we already have plenty of ways to solve it. Many have been rigorously tested and have a lot of evidence behind them — and yet they’re sitting on a shelf.

So don’t invent something new. If you want to make a contribution, choose one of those ideas — and spread it.

Spreading an idea can mean two different things. One is to take something that’s working in one place and introduce it somewhere else. If you want to reduce infant mortality in Cleveland, why not try what’s working in Baltimore?

Well, you might not know about what’s working because there’s no quick system for finding it.

Even when a few people do search out the answer, innovative ideas don’t spread by themselves. To become well known, they require effort from their originators. For example, a Bogotá, Colombia, maternity hospital invented Kangaroo Care — a method of keeping premature babies warm by strapping them 24/7 to Mom’s chest. It saved a lot of lives in Bogotá. But what allowed it to save lives around the world was a campaign to spread it to other countries.

The Colombians established Fundación Canguro and got grants from wealthy countries to bring groups of doctors and nurses from all over to visit Bogotá for two or three weeks. Once the visitors had gone back and set up a program in their hospital, the foundation loaned them a doctor and nurse to help get them started. Save the Children now leads a global partnership to spread Kangaroo Care, with the goal of reaching half the world.

In short, this work requires dedicated organizations, a smart program and lots of money.

The other meaning of spreading an idea is creating ways to get new inventions out to people who need them.

“When I talk to college students or anyone who’s thinking about entrepreneurship or targeting global poverty, the gadget is where 99 percent of people start thinking,” said Nicholas Fusso, the director of D-Prize (its slogan: “Distribution is development”). “That’s important — but the biggest problems in the poverty world aren’t a lack of gadgets or new products. It’s figuring out how people can have access to them.” So D-Prize gives seed money, in chunks of $10,000 to $20,000, to tiny new organizations that have good ideas for how to distribute useful things.

This analysis may be familiar to regular readers of Fixes. Indeed, the first Fixes column, more than five years ago, focused on distribution: getting health care to people in rural Africa by putting health care workers on motorcycles and keeping the bikes running….

Philanthropists and government aid agencies are only starting to get interested in the challenges of distribution — one new philanthropy that does have this focus is Good Ventures. As for academia, it still rewards invention almost exclusively. “There’s a lot of attention and award-giving and prize-giving and credit to people who come up with fancy new ideas instead of reaching people and having impact,” said Brodbar. “The incentives aren’t aligned. The culture of social entrepreneurship needs to change.”

Recognizing the true value of spreading an idea would also allow people who aren’t inventors (which is most of us) to get involved in social change. “The notion that if you want to engage in [social entrepreneurship] you have to have the big idea does a disservice to this space and people who want to play a role in it,” said Brodbar. “It’s a much wider front door.”…(More)