AI is supercharging war. Could it also help broker peace?


Article by Tina Amirtha: “Can we measure what is in our hearts and minds, and could it help us end wars any sooner? These are the questions that consume entrepreneur Shawn Guttman, a Canadian émigré who recently gave up his yearslong teaching position in Israel to accelerate a path to peace—using an algorithm.

Living some 75 miles north of Tel Aviv, Guttman is no stranger to the uncertainties of conflict. Over the past few months, miscalculated drone strikes and imprecise missile targets—some intended for larger cities—have occasionally landed dangerously close to his town, sending him to bomb shelters more than once.

“When something big happens, we can point to it and say, ‘Right, that happened because five years ago we did A, B, and C, and look at its effect,’” he says over Google Meet from his office, following a recent trip to the shelter. Behind him, souvenirs from the 1979 Egypt-Israel and 1994 Israel-Jordan peace treaties are visible. “I’m tired of that perspective.”

The startup he cofounded, Didi, is taking a different approach. Its aim is to analyze data across news outlets, political discourse, and social media to identify opportune moments to broker peace. Inspired by political scientist I. William Zartman’s “ripeness” theory, the algorithm—called the Ripeness Index—is designed to tell negotiators, organizers, diplomats, and nongovernmental organizations (NGOs) exactly when conditions are “ripe” to initiate peace negotiations, build coalitions, or launch grassroots campaigns.

During ongoing U.S.-led negotiations over the war in Gaza, both Israel and Hamas have entrenched themselves in opposing bargaining positions. Meanwhile, Israel’s traditional allies, including the U.S., have expressed growing frustration over the war and the dire humanitarian conditions in the enclave, where the threat of famine looms.

In Israel, Didi’s data is already informing grassroots organizations as they strategize which media outlets to target and how to time public actions, such as protests, in coordination with coalition partners. Guttman and his collaborators hope that eventually negotiators will use the model’s insights to help broker lasting peace.

Guttman’s project is part of a rising wave of so-called PeaceTech—a movement using technology to make negotiations more inclusive and data-driven. This includes AI from Hala Systems, which uses satellite imagery and data fusion to monitor ceasefires in Yemen and Ukraine. Another AI startup, Remesh, has been active across the Middle East, helping organizations of all sizes canvas key stakeholders. Its algorithm clusters similar opinions, giving policymakers and mediators a clearer view of public sentiment and division.

A range of NGOs and academic researchers have also developed digital tools for peacebuilding. The nonprofit Computational Democracy Project created Pol.is, an open-source platform that enables citizens to crowdsource outcomes to public debates. Meanwhile, the Futures Lab at the Center for Strategic and International Studies built a peace agreement simulator, complete with a chart to track how well each stakeholder’s needs are met.

Guttman knows it’s an uphill battle. In addition to the ethical and privacy concerns of using AI to interpret public sentiment, PeaceTech also faces financial hurdles. These companies must find ways to sustain themselves amid shrinking public funding and a transatlantic surge in defense spending, which has pulled resources away from peacebuilding initiatives.

Still, Guttman and his investors remain undeterred. One way to view the opportunity for PeaceTech is by looking at the economic toll of war. In its Global Peace Index 2024, the Institute for Economics and Peace’s Vision of Humanity platform estimated that economic disruption due to violence and the fear of violence cost the world $19.1 trillion in 2023, or about 13 percent of global GDP. Guttman sees plenty of commercial potential in times of peace as well.

“Can we make billions of dollars,” Guttman asks, “and save the world—and create peace?” ..(More)”….See also Kluz Prize for PeaceTech (Applications Open)

The Power of Volunteers: Remote Mapping Gaza and Strategies in Conflict Areas


Blog by Jessica Pechmann: “…In Gaza, increased conflict since October 2023 has caused a prolonged humanitarian crisis. Understanding the impact of the conflict on buildings has been challenging, since pre-existing datasets from artificial intelligence and machine learning (AI/ML) models and OSM were not accurate enough to create a full building footprint baseline. The area’s buildings were too dense, and information on the ground was impossible to collect safely. In these hard-to-reach areas, HOT’s remote and crowdsourced mapping methodology was a good fit for collecting detailed information visible on aerial imagery.

In February 2024, after consultation with humanitarian and UN actors working in Gaza, HOT decided to create a pre-conflict dataset of all building footprints in the area in OSM. HOT’s community of OpenStreetMap volunteers did all the data work, coordinating through HOT’s Tasking Manager. The volunteers made meticulous edits to add missing data and to improve existing data. Due to protection and data quality concerns, only expert volunteer teams were assigned to map and validate the area. As in other areas that are hard to reach due to conflict, HOT balanced the data needs with responsible data practices based on the context.

Comparing AI/ML with human-verified OSM building datasets in conflict zones

AI/ML is becoming an increasingly common and quick way to obtain building footprints across large areas. Sources for automated building footprints range from worldwide datasets by Microsoft or Google to smaller-scale open community-managed tools such as HOT’s new application, fAIr.

Now that HOT volunteers have completely updated and validated all OSM buildings in visible imagery pre-conflict, OSM has 18% more individual buildings in the Gaza strip than Microsoft’s ML buildings dataset (estimated 330,079 buildings vs 280,112 buildings). However, in contexts where there has not been a coordinated update effort in OSM, the numbers may differ. For example, in Sudan where there has not been a large organized editing campaign, there are just under 1,500,000 in OSM, compared to over 5,820,000 buildings in Microsoft’s ML data. It is important to note that the ML datasets have not been human-verified and their accuracy is not known. Google Open Buildings has over 26 million building features in Sudan, but on visual inspection, many of these features are noise in the data that the model incorrectly identified as buildings in the uninhabited desert…(More)”.

Building a Data Infrastructure for the Bioeconomy


Article by Gopal P. Sarma and Melissa Haendel: “While the development of vaccines for COVID-19 has been widely lauded, other successful components of the national response to the pandemic have not received as much attention. The National COVID Cohort Collaborative (N3C), for example, flew under the public’s radar, even though it aggregated crucial US public health data about the new disease through cross-institutional collaborations among government, private, and nonprofit health and research organizations. These data, which were made available to researchers via cutting-edge software tools, have helped in myriad ways: they led to identification of the clinical characteristics of acute COVID-19 for risk prediction, assisted in providing clinical care for immunocompromised adults, revealed how COVID infection affects children, and documented that vaccines appear to reduce the risk of developing long COVID.

N3C has created the largest national, publicly available patient-level dataset in US history. Through a unique public-private partnership, over 300 participating organizations quickly overcame privacy concerns and data silos to include 13 million patient records in the project. More than 3,000 participating scientists are now working to overcome the particular challenge faced in the United States—the lack of a national healthcare data infrastructure available in many other countries—to support public health and medical responses. N3C shows great promise for unraveling answers to questions related to COVID, but it could easily be expanded for many areas of public health, including pandemic preparedness and monitoring disease status across the population.

As public servants dedicated to improving public health and equity, we believe that to unite the nation’s fragmented public health system, the United States should establish a standing capacity to collect, harmonize, and sustain a wide range of data types and sources. The public health data collected by N3C would ultimately be but one component of a rich landscape of interoperable data systems that can guide public policy in an era of rapid environmental change, sophisticated biological threats, and an economy enabled by biotechnology. Such an effort will require new thinking about data collection, infrastructure, and regulation, but its benefits could be enormous—enabling policymakers to make decisions in an increasingly complex world. And as the interconnections between society, industry, and government continue to intensify, decisionmaking of all types and scales will be more efficient and responsive if it can rely on significantly expanded data collection and analysis capabilities…(More)”.

Prisms of the People


Book by Hahrie Han, Elizabeth McKenna, and Michelle Oyakawa: “Grassroots organizing and collective action have always been fundamental to American democracy but have been burgeoning since the 2016 election, as people struggle to make their voices heard in this moment of societal upheaval. Unfortunately much of that action has not had the kind of impact participants might want, especially among movements representing the poor and marginalized who often have the most at stake when it comes to rights and equality. Yet, some instances of collective action have succeeded. What’s the difference between a movement that wins victories for its constituents, and one that fails? What are the factors that make collective action powerful?

Prisms of the People addresses those questions and more. Using data from six movement organizations—including a coalition that organized a 104-day protest in Phoenix in 2010 and another that helped restore voting rights to the formerly incarcerated in Virginia—Hahrie Han, Elizabeth McKenna, and Michelle Oyakawa show that the power of successful movements most often is rooted in their ability to act as  “prisms of the people,” turning participation into political power just as prisms transform white light into rainbows. Understanding the organizational design choices that shape the people, their leaders, and their strategies can help us understand how grassroots groups achieve their goals.

Linking strong scholarship to a deep understanding of the needs and outlook of activists, Prisms of the People is the perfect book for our moment—for understanding what’s happening and propelling it forward….(More)”.

Morocco finds a new source of policy expertise — its own citizens


Participo: “This spring saw the release of a long-awaited report by the Commission Spéciale sur le modèle de developpement (CSMD), created in 2019 by His Majesty King Mohammed VI….

“Blue ribbon” commissions to tackle thorny issues are nothing new. But the methods employed by Morocco’s CSMD, and the proposals which resulted from them, point the way toward an entirely new approach to governance in the Middle East and North Africa (MENA) region.

Morocco’s new model of development was created through methods of collective intelligence, an emerging science that explores how groups can outperform individuals in learning, decision making, and problem-solving.

It is an ability that has long defined our species, from coordinated bands of hunters on the savannah to the networks of scientists that develop coronavirus vaccines. A complex environment has conditioned humans to pool their knowledge to survive. But collective intelligence doesn’t just happen; for the “wisdom of crowds” to emerge, a group must be organized in the right way, with the right methods and tools….

Beginning in January 2020, the CSMD launched a broad national consultation open to all Moroccan citizens, aimed at harnessing a wide variety of expertise from local communities, government, NGOs, and the private sector.

Its multi-channel approach was designed to reflect four indicators that studies suggest are critical to producing collective intelligence: a diversity of participants and information sources; a critical mass of contributions; a sufficiently rich exchange of information at each “touch point”; and an effective process to synthesize contributions into a coherent whole.

The CSMD created an online platform with opportunities to give quick feedback (“What is one thing you want to change about Morocco?”), as well as more detailed proposals on themes like health care and territorial inequality. A social media campaign reached an estimated 3.2 million citizens, with dozens of “participatory workshops” live-streamed on Facebook and YouTube.

To seek out the knowledge of those least connected to these channels, the CSMD conducted 30 field visits to struggling urban districts, universities, and remote villages in the High Atlas mountains. These field visits featured learning sessions with social innovators and rencontres citoyennes (“citizen encounters”) where groups of 20 to 30 local residents, balanced by age and gender, shared stories and aspirations….(More)”.

Tracking Economic Activity in Response to the COVID-19 using nighttime Lights


Paper by Mark Roberts: “Over the last decade, nighttime lights – artificial lighting at night that is associated with human activity and can be detected by satellite sensors – have become a proxy for monitoring economic activity. To examine how the COVID-19 crisis has affected economic activity in Morocco, we calculated monthly lights estimates for both the country overall and at a sub-national level. By examining the intensity of Morocco’s lights in comparison with the quarterly GDP data at the national level, we are also able to confirm that nighttime lights are able to track movements in real economic activity for Morocco….(More)”.

Essential Requirements for Establishing and Operating Data Trusts


Paper by P Alison Paprica et al: “Increasingly, the label “data trust” is being applied to repeatable mechanisms or approaches to sharing data in a timely, fair, safe and equitable way. However, there is a gap in terms of practical guidance about how to establish and operate a data trust.

In December 2019, the Canadian Institute for Health Information and the Vector Institute for Artificial Intelligence convened a working meeting of 19 people representing 15 Canadian organizations/initiatives involved in data sharing, most of which focus on public sector health data. The objective was to identify essential requirements for the establishment and operation of data trusts. Preliminary findings were presented during the meeting then refined as participants and co-authors identified relevant literature and contributed to this manuscript.

Twelve (12) minimum specification requirements (“min specs”) for data trusts were identified. The foundational min spec is that data trusts must meet all legal requirements, including legal authority to collect, hold or share data. In addition, there was agreement that data trusts must have (i) an accountable governing body which ensures the data trust advances its stated purpose and is transparent, (ii) comprehensive data management including responsible parties and clear processes for the collection, storage, access, disclosure and use of data, (iii) training and accountability requirements for all data users and (iv) ongoing public and stakeholder engagement.

Based on a review of the literature and advice from participants from 15 Canadian organizations/initiatives, practical guidance in the form of twelve min specs for data trusts were agreed on. Public engagement and continued exchange of insights and experience is recommended on this evolving topic…(More)”.

Data Protection in the Humanitarian Sector – A Blockchain Approach


Report by Andrej Verity and Irene Solaiman: “Data collection and storage are becoming increasingly digital. In the humanitarian sector, data motivates action, informing organizations who then determine priorities and resource allocation in crises.

“Humanitarians are dependent on technology and on the Internet. When life-saving aid isn’t delivered on time and to the right beneficiaries, people can die.” -Brookings

In the age of information and cyber warfare, humanitarian organizations must take measures to protect civilians, especially those in critical and vulnerable positions.

“Data privacy and ensuring protection from harm, including the provision of data security, are therefore fundamentally linked—and neither can be realized without the other.” -The Signal Code

Information in the wrong hands can risk lives or even force aid organizations to shut down. For example, in 2009, Sudan expelled over a dozen international nongovernmental organizations (NGOs) that were deemed key to maintaining a lifeline to 4.7 million people in western Darfur. The expulsion occurred after the Sudanese Government collected Internet-accessible information that made leadership fear international criminal charges. Responsible data protection is a crucial component of cybersecurity. As technology develops, so do threats and data vulnerabilities. Emerging technologies such as blockchain provide further security to sensitive information and overall data storage. Still, with new technologies come considerations for implementation…(More)”.

Geolocation Data for Pattern of Life Analysis in Lower-Income Countries


Report by Eduardo Laguna-Muggenburg, Shreyan Sen and Eric Lewandowski: “Urbanization processes in the developing world are often associated with the creation of informal settlements. These areas frequently have few or no public services exacerbating inequality even in the context of substantial economic growth.

In the past, the high costs of gathering data through traditional surveying methods made it challenging to study how these under-served areas evolve through time and in relation to the metropolitan area to which they belong. However, the advent of mobile phones and smartphones in particular presents an opportunity to generate new insights on these old questions.

In June 2019, Orbital Insight and the United Nations Development Programme (UNDP) Arab States Human Development Report team launched a collaborative pilot program assessing the feasibility of using geolocation data to understand patterns of life among the urban poor in Cairo, Egypt.

The objectives of this collaboration were to assess feasibility (and conditionally pursue preliminary analysis) of geolocation data to create near-real time population density maps, understand where residents of informal settlements tend to work during the day, and to classify universities by percentage of students living in informal settlements.

The report is organized as follows. In Section 2 we describe the data and its limitations. In Section 3 we briefly explain the methodological background. Section 4 summarizes the insights derived from the data for the Egyptian context. Section 5 concludes….(More)”.

Handbook of Research on Politics in the Computer Age


Book edited by Ashu M. G. Solo: “Technology and particularly the Internet have caused many changes in the realm of politics. Aspects of engineering, computer science, mathematics, or natural science can be applied to politics. Politicians and candidates use their own websites and social network profiles to get their message out. Revolutions in many countries in the Middle East and North Africa have started in large part due to social networking websites such as Facebook and Twitter. Social networking has also played a role in protests and riots in numerous countries. The mainstream media no longer has a monopoly on political commentary as anybody can set up a blog or post a video online. Now, political activists can network together online.

The Handbook of Research on Politics in the Computer Age is a pivotal reference source that serves to increase the understanding of methods for politics in the computer age, the effectiveness of these methods, and tools for analyzing these methods. The book includes research chapters on different aspects of politics with information technology, engineering, computer science, or math, from 27 researchers at 20 universities and research organizations in Belgium, Brazil, Cape Verde, Egypt, Finland, France, Hungary, Italy, Mexico, Nigeria, Norway, Portugal, and the United States of America. Highlighting topics such as online campaigning and fake news, the prospective audience includes, but is not limited to, researchers, political and public policy analysts, political scientists, engineers, computer scientists, political campaign managers and staff, politicians and their staff, political operatives, professors, students, and individuals working in the fields of politics, e-politics, e-government, new media and communication studies, and Internet marketing….(More)”.