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Reinventing Humanitarian Aid Procurement for the Age of AI

Giulio Coppi

Access Now (2026), 59 pp.

"Our research reveals that the organisational use of AI and algorithmic systems often happens through a process of unstructured integration rather than formal adoption. More precisely, cloud-based, algorithmic-enhanced functionalities and processes are making their way into humanitarian entitiesʼ t ... ech stack through updates and add-ons to preexisting products, slowly but inexorably seeping into most internal systems. A price-based procurement process designed around the static idea of digital asset purchase is inadequate to ensure adequate protection from hyperdynamic tech product development. This is especially evident looking at the growing power imbalances between private actors and nonprofits, and among nonprofits themselves. Digital technology is often heralded as key to democratise and equalise the playing field between humanitarian actors, by finally unlocking local actorsʼ access to resources traditionally reserved for international entities. But emerging trends seem to disprove such claims. The lack of adequate legal frameworks and safeguards, lagging investments in humanitarian funding for information and communication technology (ICT) resources and connectivity, and inadequate dedicated funding for digital programmes are thwarting these opportunities. More broadly, virtuous and responsible procurement practices are proving inadequate for protecting human rights alone, as tech companiesʼ commitments to human rights are replaced by defence-oriented pitches and the size of their human rights teams keeps shrinking. Preexisting digital divides are enhanced by several deep and subtle changes in traditional tech business models, resulting from the gradual cloudification of most common digital systems and the fast-paced, distributed nature of modern digital development. Even more worryingly, we are seeing new forms of digital divide well beyond the traditional gaps in digital capacity between local and small non-governmental organisations (NGOs) and international non-governmental organisations (INGOs) or UN entities. Cloud-based companiesʼ takeover of generic coordination platforms creates a constantly broadening chasm between the few organisations that are digitally mature, those who are barely retrofitting their processes to fit the new reality, and the broad majority forced to access the promised land of digital humanitarianism through the predatory gates of algorithmic and cloud servicesʼ free tech licensing. Our findings highlight how organisation-led digital development, building on open-source systems (despite some “openwashing” practices) and trusted external providers, remains the best option for risk reduction when it comes to algorithmic systems. However, in the short to medium term, this might not be financially and technically feasible for the majority of humanitarian actors, especially considering the catastrophic funding environment. To fill this gap, we propose a toolkit in an appendix to this report. This is a foundational governance model for transforming digital procurement from a transactional into a strategic business function, integrated across key organisational departments. By doing so, protection-mandated aid groups could move from running purchase-centred processes, to adopting a dynamic, proactive, and rights-based approach to tech management. This report also contains a set of recommendations for states and donors, the humanitarian community, tech companies, local aid actors and communities, research centres, and cyber experts." (Executive summary, pages 2-3) more

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The Essential Convergence: Global Compact on Extreme AI Risks

Sundeep Waslekar, Ilmas Futehally, Jayantika Kutty

Mumbai: Strategic Foresight Group (2026), 90 pp.

"Supply-Side Governance: Progress and Limitations: Most existing AI governance frameworks focus on the supply side of the technology ecosystem. These measures regulate developers, model providers, and infrastructure operators responsible for building advanced systems. Supply-side mechanisms include: ... pre-deployment safety testing and red-teaming; model evaluation and capability assessments; transparency and reporting obligations; incident response mechanisms; restrictions on certain high-risk uses. Several jurisdictions are experimenting with these tools in different combinations. China has implemented regulatory standards for generative AI systems; the European Union has adopted a risk based regulatory framework; Brazil and South Korea are developing legislative approaches; and the United States has introduced a mixture of executive measures and sectoral rules. These frameworks represent important progress. However, they face two structural limitations. First, supply-side regulation depends heavily on the cooperation of a small number of developer states. Second, the growing distribution of AI models, through open-weight releases, cloud APIs, and downstream applications, means that many systems reach global markets beyond the jurisdiction where they were originally developed. This reality limits the effectiveness of purely supply-side approaches. Demand-Side Governance: A New Dimension of AI Regulation: The paper introduces a second dimension of governance that has received far less attention: demand-side oversight. Demand-side governance shifts the locus of control from the point of creation to the point of deployment. Instead of relying solely on developer-state regulations, importing countries can establish safety requirements for any AI systems operating within their markets. These requirements may include risk assessments, certification standards, procurement rules, insurance obligations, and infrastructure safeguards. The central insight is that states controlling large consumer markets, digital infrastructure, financial systems, or public procurement channels possess significant leverage over global AI deployment, even if they do not develop frontier models themselves. This demand-side leverage can reshape incentives across the global AI ecosystem. Developers seeking access to major markets must comply with the safety conditions imposed by importing states. This approach represents a strategic shift in global AI governance: from a developer-centric model to a market-driven model of safety enforcement. Countries across different regions possess different forms of demand-side power. Brazil and South Africa represent large emerging markets; the United Arab Emirates plays a major role in AI infrastructure investment; South Korea combines technological capability with advanced regulatory institutions. When coordinated, these forms of leverage could help establish global safety norms. The Case for a Global Compact: Given the limitations of purely national approaches, the paper proposes the development of a Global Compact on Extreme AI Risks. The Compact would not aim to harmonise all aspects of AI regulation. Instead, it would focus narrowly on the most severe risk categories and establish shared mechanisms for prevention, monitoring, and response. Five institutional pillars form the backbone of the proposed Compact. The five pillars in the Global Compact should not be treated as isolated measures but designed as an interoperable system in which each pillar reinforces and informs the others through shared definitions, compatible standards, and coordinated implementation mechanisms. To address extreme risks effectively, the Compact should rest on a small set of guiding principles: a human-centric principle to ensure protection of humanity and human dignity as the primary objective; technological neutrality so that safeguards apply across methods and architectures rather than specific tools; interoperability to enable national and regional AI frameworks to exchange information, align risk classifications, and coordinate responses; and mutual cooperation to institutionalize cross-border collaboration in prevention, incident reporting, and crisis management. These can be complemented by principles of proportional risk governance, scientific integrity, and shared responsibility, creating a coherent normative base that allows diverse governance models to function together as a connected global safety architecture." (Executive summary, pages 5-6) more

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Advancing Open Source AI in India: Recommendations for Governments & Technology Developers

Aarushi Gupta, Anushka Jain, Urvashi Aneja, Shreeja Sen

Bonn; Delhi; Noida (IN): Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward – Artificial Intelligence for All; NASSCOM (2026), 80 pp.

"[...] this brief positions open source AI as a strategic policy option within India’s evolving AI ecosystem. It unpacks the critical importance of openness for India’s digital future, crystallising the key opportunities it offers to governments and developers alike. In doing so, it also explore ... more

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Societies at an AI Crossroads: Choices and Value Conflicts

Ignas Kalpokas, Julija Kalpokienė

London; New York: Routledge (2026), 116 pp.

"As contemporary societies undergo profound transformations driven by artificial intelligence and related technologies, a unilinear vision of inevitable ‘progress’ and development increasingly dominates public discourse. This book offers a counterpoint, challenging such deterministic narratives ... more

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Funding the Future of Local News: Lessons for the UK and beyond from journalism funds around the world
Deep Insights

Lucas Batt, Rhiannon Davies

Greater Community Media; Public Interest News Foundation (PINF) (2026), 124 pp.

"In this report we have documented ten case studies of visionary journalism support funds that we can learn from, drawing out insights and experiences from interviews with the people behind these funds. As we ourselves have been founders and leaders of pioneering local news organisations in the UK, ... more

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Targeted: How cuts to US foreign aid threaten freedom of expression and its defenders worldwide

London: Article 19 (2026), 112 pp.

"Between January and April 2025, the United States government implemented massive and immediate cuts to foreign aid spending. Our new report Targeted explores the global impact of those cuts on freedom of expression and the people working to defend it. The cuts have weakened civil society’s capac ... more

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No Signal, no Voice: How Internet Shutdowns Undermined Uganda’s 2026 Elections

Kampala: Unwanted Witness; Women of Uganda Network (WOUGNET) (2026), 55 pp.

"This report finds that significant, deliberate, and centrally coordinated internet disruptions occurred before, during, and after Uganda’s January 2026 general elections. Contrary to public assurances issued by government officials in the weeks preceding polling, access to the internet was progre ... more

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The Local News Playbook: Creating Value for a Sustainable Future
Deep Insights

London; Miami: FT Strategies; Knight Foundation (2026), 105 pp.

"Drawing on global interviews with newsroom leaders, a cross-market survey of exemplary organisations, and FT Strategies’ work with more than 1,000 media businesses worldwide, the playbook identifies the core drivers that distinguish financially sustainable, community-rooted local news. It reframe ... more

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Toward AI Governance Alignment in Africa, Middle East, and Türkiye (AMET) Region

Emma Ruttkamp-Bloem, Fola Adeleke, Jake Effoduh, Kebene Wodajo, Nagla Rizk, Olubayo Adekanmbi, Rachel Adams, Rami Alkarmi, Seani Rananga, Seydina Ndiaye, Shikoh Gitau, Tami Koroye

Global Center on AI Governance (GCG) (2026), 54 pp.

"The analysis begins by identifying the core “centric approaches” that guide Artificial Intelligence (AI) national strategies. These include security-anchored models driven by state control, innovation-led frameworks that prioritise competitiveness, rights-based regimes centred on fundamental pr ... otections, and developmental approaches focused on public service delivery and technological catch-up. Each approach expresses incentives, risk perceptions and administrative capacities. Out of these foundational choices, there are different groupings. Various regions within AMET are adopting recognisable patterns of regulation that reflect their political economies, institutional structures and geopolitical positions. These groupings are not static categories, but evolving alignments shaped by domestic pressures, supply-chain dependencies and shifting global power dynamics. Across all regions, a set of cross-cutting issues consistently shapes the regulatory landscape. Data protection and interoperability remain central, alongside growing demands for accountability, explainability and robust auditing. Standards and certification are emerging as tools for both trustbuilding and geopolitical influence. Sector-specific rules in finance, health, education and public administration are increasingly decisive. Capacity constraints, fiscal limits and uneven institutional strength continue to define what is realistically possible for many governments. Geopolitical tensions and cloud concentration reinforce questions around sovereignty, infrastructure control and long-term strategic autonomy. This report translates these insights into practical implications for states, regional bodies and technology firms. It highlights workable pathways for reconciling innovation with safety, managing cross-border data flows, and building resilient digital infrastructure. It also identifies areas where architecture choices such as regional cloud centres, culturally calibrated testing layers and tiered sovereignty models can support both regulatory goals and developmental priorities. The recommendations emphasise flexible alignment, cooperation through standards, and the need for shared mechanisms that accommodate political diversity while reducing fragmentation. Taken together, the framework provides a stable and operational way of understanding global AI regulation. It clarifies the interests driving different jurisdictions, the pressures that shape convergence or divergence, and the strategic considerations that technology firms and policymakers must navigate as the regulatory environment continues to evolve." (Executive summary) more

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Step by Step: How SAFE AI contributes to trustworthy AI

CDAC Network; Alan Turing Institute; Humanitarian AI Advisory (2026), 8 pp.

"Based on the National Institute of Standards and Technology (NIST) AI Risk Management Framework, the seven characteristics of trustworthy AI are: 1. Valid and Reliable: The AI system should perform as intended, delivering accurate results consistently across different situations. 2. Safe: The sy ... more

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Navigating risks and rewards: How South African journalists use AI in the newsroom

Karen Allen, Herman Wasserman, Nande Mbekela

Johannesburg; Stellenbosch: Konrad-Adenauer-Stiftung (KAS), Media Programme Sub-Saharan Africa; Centre for Information Integrity in Africa (CINIA) (2026), 33 pp.

"This study demonstrates impressively how widely AI is already used in South African newsrooms – often, however, without systematic training, without editorial guidelines, and without tools adapted to African languages and contexts. The interviews make it clear that journalists stand between curio ... more

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Weaponising the law: Threats to media freedom in Kenya

Lawrence Mute, Andrew Songa

Thomson Reuters Foundation (2026), 55 pp.

"This report presents a comprehensive analysis of the legal threats to media freedom in Kenya today. For the purposes of this report, weaponisation of the law is defined as the deliberate use or misuse of legal provisions and processes to intimidate, silence, or economically weaken media actors. Des ... pite robust constitutional safeguards for freedom of expression and of the media, as well as a vibrant media sector, Kenya continues to experience setbacks in the realisation of these rights, alongside improvements in some areas. This report follows the global Weaponizing the Law: Attacks on Media Freedom report, published in 2023, by providing a country-specific analysis of the Kenyan context. Informed by an initial desktop review of relevant laws, regulations and court decisions, the research included an industry survey and focus group discussions, which identified six primary categories of legal threats: the abuse of court processes; regressive and disabling legislation; weak implementation of media laws; technology-facilitated harms; impunity and safety of journalists; the sustainability of the media industry. This report presents these threats thematically rather than in order of severity, reflecting the fact that they do not occur in isolation, but intersect with broader patterns of political influence, intimidation, and pressure from certain private actors. Together, they undermine independent journalism and weaken the long-term sustainability of the media sector. Our survey found that 42% of media actors in Kenya have faced legal threats in response to their work, including litigation, arrest, and the shutting down of online platforms. A summary of these key threats is outlined below. Moreover, 65% of media professionals who responded to our survey highlighted legal protections as their top support need to ensure the sustainability of journalism in Kenya. Throughout the research and across the six categories of threats documented in this report, three cross-cutting themes have emerged: 1. Legal tools are increasingly used to punish, deter, or delegitimise critical journalism. 2. Institutional weaknesses, such as inconsistent implementation and limited enforcement, undermine the effectiveness of legal protections already on the books. 3. Rapid technological change is outpacing the law, leaving journalists exposed to new risks ranging from AI-driven market disruptions to technology-facilitated gender-based violence. These issues are not unique to the Kenyan context; the solutions will lie in collaborative action that harnesses the expertise of a breadth of stakeholders across the media freedom ecosystem within the country and region." (Executive summary) more

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SAFE AI: A Governance Framework for Humanitarians using AI. How to turn SAFE AI principles into practical action

Helen McElhinney, Anjali Mazumder, Michael Tjalve, Suzy Madigan, Sarah Spencer

CDAC Network; Alan Turing Institute; Humanitarian AI Advisory (2026), 93 pp.

"The SAFE AI Framework is designed to support humanitarian organisations on their AI journey, and navigate the risks raised. Organisations procuring AI systems or designing AI projects will benefit from each tool within this framework, which is intended as a practical approach to using, designing, p ... more

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How Russia Is Reshaping Command and Control for AI-Enabled Warfare

Kateryna Bondar

Washington, DC: Center for Strategic and International Studies (CSIS) (2026), 20 pp.

"This paper examines how Russia is transforming its command and control (C2) architecture under wartime pressure, how these changes shape the country’s incremental move toward battlefield-required software solutions, and what lessons U.S. policymakers can learn from Russia’s experiences. Focusin ... g on both strategic ambitions and battlefield practice, the takeaways below summarize how automated C2 systems, unmanned platform management software, and emerging AI applications are being developed, adapted, and scaled within Russia’s military ecosystem. 1. Russia is no longer prioritizing the construction of a single, comprehensive automated C2 architecture comparable to Western joint concepts; instead, it is reallocating effort toward tactical, task-specific software, driven by battlefield necessity. Prolonged, high-intensity combat in Ukraine exposed the limits of centralized, system-wide C2 modernization and elevated the importance of accelerating the tactical kill chain. The emergence of systems such as the “Svod” Tactical Situational Awareness Complex and other integrated reconnaissance-strike tools reflects a pragmatic shift in which operational control of unmanned systems and real-time battlefield management now deliver greater military value than achieving end-to-end C2 integration. 2. Because unmanned systems now conduct up to 80 percent of Russian fire missions, the center of gravity in C2 innovation has shifted toward software that manages drones and integrates them with artillery and other fire units. Civilian engineers and volunteer developers have focused on closing this gap by building tools that provide situational awareness, automate fire correction, and link unmanned aircraft systems (UAS) operators directly to firing units. Russia’s “Glaz/Groza” software complex demonstrates this trend, functioning as a unified reconnaissance-strike workflow that converts drone footage into targeting data and compresses the time from detection to impact from hours to minutes. 3. The Russian military assesses its AI capabilities for visual and audio data processing as relatively mature, placing computer vision, sensor fusion, and signal analysis at technology readiness level (TRL) 6–9, while natural-language processing remains at an early, experimental stage, TRL 1–3. This disparity reflects a deliberate prioritization of AI applications that deliver immediate battlefield utility—such as target recognition, guidance, and autonomous terminal functions for unmanned systems—and where abundant data and combat validation are available. By contrast, text analysis AI, which underpins document processing and higher-level C2 decision support, remains constrained by immature architectures, limited certified software, and organizational barriers, slowing progress toward fully AI-enabled command workflows. 4. Within Russian C2 systems, AI is primarily envisioned as a support function rather than a replacement for human decisionmaking. Russian military doctrine assigns AI two core roles: enhancing the processing and interpretation of sensor data and providing predictive decision support through forecasting, scenario generation, and recommendations for commanders. Across strategic and tactical levels, AI is intended to augment situational awareness and analytical capacity, while formal authority and responsibility for decisions remain firmly with human commanders. 5. Russia began its C2 digitalization effort by building a dense layer of standards governing terminology, system architecture, hardware-software integration, and information management. This standardization drive, coupled with the transition to the domestically controlled Astra Linux operating system, reflects an attempt to create a unified technical foundation capable of supporting data integration, interoperability, and future AI insertion across the command hierarchy. While this framework provides structural coherence, it has not, on its own, resolved deeper institutional and methodological constraints that continue to limit system-wide C2 integration. 6. To enable AI-driven tactical software, the Russian military launched a systematic data collection effort in 2025 focused on unmanned operations and strike outcomes. The emerging data infrastructure aggregates UAS video feeds, operator telemetry, strike effects, and individual pilot performance metrics, each linked to unique personal identifiers. These datasets serve multiple functions simultaneously: operational analysis, training evaluation, and the creation of labeled data for AI model development, establishing a feedback loop that ties battlefield performance directly to software refinement. 7. Despite efforts to reduce dependence on foreign commercial technologies, Russia’s military AI development remains heavily reliant on open-weight models and civilian software ecosystems. The transition from tools such as AlpineQuest and Discord toward domestic alternatives like ZOV Maps and Astra-based platforms reflects a push for security and sovereignty at the application layer. At the same time, Russian developers actively adapt open-weight and commercially available AI models, including Mistral, Qwen, LLaMA, YOLO, and related architectures, for military use, embedding them into on-premise, tightly controlled environments. This hybrid approach allows Russia to mitigate sanctions and accelerate AI adoption without building foundational models from scratch." (Executive summary) more

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AI in the media: Kenya and South Africa

Karen Allen, Herman Wasserman, Nande Mbekela

Bonn; Stellenbosch (ZA): Deutsche Welle DW Akademie; Centre for Information Integrity in Africa (CINIA) (2026), 27 pp.

"This study shows that AI remains largely an underexplored, and often misunderstood, topic for journalism in South Africa and Kenya. Stories can be framed in overly positive terms, such as the potential AI holds for development and social change, or negative terms, by highlighting the extractive nat ... ure of big tech firms or the potential of AI to foster disinformation. Either way, these reports frequently lack a more nuanced understanding of the impacts of AI in African contexts. Fear of the impact of AI on the media workforce may also explain why reporters say they often face resistance by editors when seeking to get AI and tech stories commissioned. AI articles tend to be siloed and reactive, framed as business, security or technology stories. Seldom is AI presented in terms of its multidimensional, layered impact on society. Furthermore, the geopolitical aspect of AI rarely gets interrogated in mainstream media. Journalists interviewed for the study admitted that many of their stories were reactive, and identified areas where synergies could be harnessed from other parts of the world. On issues of AI and social media regulation, for example, where precedents have been set by countries such as Australia, South African and Kenyan media could use such precedents to develop locally focused stories. AI reporting often adopts a framing promoted by technology vendors who derive interest from presenting a one-dimensional, optimistic view of AI. The unintended consequences often go unreported unless supported by an investigation, such as the CCTV camera surveillance reportage by Swart referenced above. Furthermore, the topic is often presented through a Global North lens, with little contextualisation or interrogation of these issues from an African point of view amid resource and access constraints. This occurs against a background of under-developed policy frameworks for AI on the continent generally, and in newsrooms in particular. Consequently the playing field can be tilted in favour of AI and tech vendors who fill the vacuum with hyperbole and hype about what the technology is capable of delivering. At the same time, more nuanced and specialised reporting on AI is constrained by the familiar obstacles of journalism, such as lack of resources, over-stretched newsrooms and story competition. To enhance coverage of AI in Africa, a multifaceted strategy is needed. While training and AI literacy programmes can deepen the knowledge needed by African journalists to investigate the topic more comprehensively, increased investment in newsrooms can provide the structural support to provide more context-specific coverage of AI on the continent. Crucially, training and education of African journalists should be done from within the African context, as solutions cannot be imposed from newsroom contexts in the Global North." (Conclusions, page 21) more

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Journalism Funds: Building Sustainable Infrastructure for Healthy Information Ecosystems. Why and How the International Fund for Public Interest Media Supports Journalism Funds

Pierrick Judeaux, Bridie Rollins, Maha Taki, Jessica White, Sameer Padania

International Fund for Public Interest Media (IFPIM) (2026), 24 pp.

"This position paper presents the International Fund for Public Interest Media’s vision for journalism funds as a promising structural and sustainable solution for financing independent journalism at scale. It draws on our experience as a multilateral pooled fund, as well as our work funding, advi ... more

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Meeting the Revenue Challenge: Philanthropy's Role in Local News Growth

Mark Fuerst, Caroline Porter, Feather Houstoun

Philadelphia, PA: Wyncote Foundation (2026), 32 pp.

"Starting in February 2025, we set out to identify and examine success stories among local news groups, where success was sustainability in business operations, even if that term has a range of interpretations. We reasoned that the experiences of these successful organizations might carry predictive ... more

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The “Authoritarian Utopia”: The impact of funding cuts on independent media

Jos Midas Bartman, Evelien Wijkstra

Free Press Unlimited (2026), 23 pp.

"Recent reports by the Carnegie Endowment for International Peace (2026) and Article 19 (2026) on the impact of U.S. funding cuts, laid bare some of the most direct consequences of the U.S. funding cuts. They reported that the median grantee of their survey respondents lost about 35 to 40 percent of ... annual revenue for the year 2025. That number makes sense in light of the fact that the U.S. government cut at least $1.7 billion worth of freedom of expression programmes. This number was reported when some of the terminations were still unfolding. This is largely in line with our own findings, more than a year after the cuts. Out of the 57 surveyed partners, 37 percent reported budget cuts of 26-50 percent and 26 percent reported budget cuts of more than 50 percent Unfortunately, the abrupt and devastating level of the cuts have also led to media outlets and media support organisations ceasing operations. For this research we have not collected data on this but we are aware of several examples such as the closing of our Ukrainian partner, media outlet Zaborona, caused by the cessation of support of both the US and UK governments. Zaborona was an independent media outlet specialized in long-form, analytical reporting. The long-term political and geopolitical consequences of the U.S. governement funding cuts are still unfolding, but some of the medium-term effects are already visible. In the Philippines for example, disinformation has been able to flow more uncontrolled and narratives that support Chinese claims to the South China Sea have been diffusing more rapidly. Partners in Venezuela reported on how RT Academy provides training in several African countries, Argentina, Mexico and Cuba as an indirect way to approach people who can help amplify pro-Russian narratives in each of those countries, make friends and improve RT’s credibility. This report lays bare similar worrying but expected developments. Our survey shows unequivocally that where independent media decline, authoritarian interests fill the vacuum. Partners have reported on this dynamic across different continents. The boundary between domestic politics and international relations shows to be thin as well in this regard. In Pakistan for example, our partners report that China’s ability and assertiveness in trying to export its governance model have increased. Pakistani media organizations have been open about their recent collaboration with the Chinese embassy and the China–Pakistan Economic Corridor (CPEC). Authoritarian governments, such as Pakistan’s military elite, are unlikely to push back against these dynamics. [...] The same political actors who increasingly argue that international cooperation must be more interest driven should recognise that independent media serve precisely those interests. Where independent journalism collapses, corruption becomes harder to expose, authoritarian influence becomes easier to project, disinformation spreads with fewer constraints, and democratic allies become weaker. The vacuum is not neutral: it is filled by actors whose interests often run directly counter to those of the European Union. For Europe, the question is therefore not whether it can afford to support independent media globally. The question is whether it can afford not to. If the EU wants to remain a credible geopolitical actor, preserve its normative influence, strengthen democratic partners, and counter authoritarian interference, then support for independent media must be treated as strategic infrastructure: as essential to democratic resilience as election support, rule-of-law programming, anti-corruption work or cyber defence." (Executive summary, pages 4-5) more

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Safer platforms, stronger participation: Mapping gender-based violence online in Syria

Bonn: Deutsche Welle DW Akademie (2026), 57 pp.

"Findings show that Gender-Based Violence Online( GBVO) in Syria is normalized and systemic, not merely isolated incidents, functioning as a mechanism of social control that reinforces patriarchal power and restricts civic participation. It takes overlapping forms, including sexual blackmail, harass ... more

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Countering Digital Scams: Stemming the Tide on an Urgent Development Challenge

Megan Roberts, Vitalii Zakhozhyi

UNDP (2026), 14 pp.

"Digital scams have become a global development challenge, inflicting costs of up to one trillion dollars annually. Beyond financial losses, scams inflict emotional harm and erode trust in digital systems, weakening confidence in governments, financial institutions, and online services. As countries ... more

Funding the Future of Local News: Lessons for the UK and beyond from journalism funds around the world Deep Insights

The Local News Playbook: Creating Value for a Sustainable Future Deep Insights

Funding the Future of Local News: Lessons for the UK and beyond from journalism funds around the world
Deep Insights

The Local News Playbook: Creating Value for a Sustainable Future
Deep Insights