These are usually a compendium of different points of data (indicators, metrics) that are compiled from a wide variety of sources for practitioners, policymakers, researchers, and scholars to have a basis for comparing different conflicts. Data about conflicts, wars, and peace efforts are included based on a common set of criteria and definitions. Such data sets are helpful in discovering and analyzing cases or in searching for trends and patterns of conflict and peacemaking.
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|Title||Authors||Subject Keywords||Abstract||Link||Country Name|
|STOPPING WAR: 101 SUCCESSFUL EFFORTS TO REDUCE ARMED CONFLICT||Elliott Short||Conflict Management and Resolution, Peacemaking and Peacebuilding||This data set highlights and provides a synopsis of 101 peacebuilding successes. The goals is to provide evidence that peacebuilding can be effective and what works both in preventing wars and stopping political violence that has already erupted. The review of the cases concludes that intervention by governmental organizations was cited more than 7 times as often as activities by INGOs or local organizations. This report suggests a number of lines of inquiry and raises the question as to how to make interventions more effective and how to get governmental organizations to intervene to stop political violence more often.||https://mars.gmu.edu/handle/1920/12169||Worldwide|
|Women’s Participation And The Fate Of Nonviolent Campaign: A Report On The Women In Resistance (Wire) Data Set||Erica Chenoweth, Conor Seyle, Sahana Dharmapuri||Locally-led Peacemaking: Women-led, Gender, Inclusive Peacebuilding||Drawn from the Women in Resistance (WiRe) data set, this report is a first of its kind attempt to assess resistance movements on the degree to which they incorporate women into their political goals, their memberships, and their leadership. The brief draws on the findings from the full report, which examines the effects of women’s representation in resistance movements on their choice of strategies and movement effectiveness. It outlines key findings from the data, as well as practical implications and recommendations for governments, civil society, and scholars.||https://oursecurefuture.org/research-analysis/women%E2%80%99s-participation-and-fate-nonviolent-campaigns-policy-brief||Worldwide|
|USHMM Early Warning Project Statistical Risk Assessment||Valentino, Ulfelder and Hazlett, Center for Prevention of Genocide, USHMM||Genocide and Attrocity Risk Data||Genocide and mass atrocities are devastating crimes in their scale and scope, in their enduring psychic scars for survivors, and in the long-term trauma they cause in societies where they occur. Despite past efforts to address systematic killing, and a body of law formed after the Holocaust to prevent and punish perpetrators, such crimes persist.|
The dataset uses quantitative and qualitative methods to spotlight countries where mass atrocities have not begun, but where the risk for such violence is high.
USHMM strives to improve this early warning system for mass atrocities by using a variety of publicly available data and forecasting methods.
|USHMM Early Warning Project Comparison Survey||Valentino, Ulfelder and Hazlett, Center for Prevention of Genocide, USHMM||Genocide and Attrocity Risk Data||The survey consists of just a single question: Which country is more likely to see a new episode of mass killing in [YEAR]? Respondents choose between two countries in a head-to-head comparison. They can answer the question for as many different pairs of countries as they like. Responses are aggregated into an overall rank ordering of countries. Our survey is open to the public for the month of December, and is actively promoted to experts, policymakers, NGOs, and scholars in international affairs.||https://earlywarningproject.ushmm.org/comparison-surveys||Worldwide|
|Atrocity Forecasting Project||Goldsmith, Soymea, Australian National University||Genocide and Attrocity Risk Data||The project has the overall purpose of enhancing capacity for forecasting mass atrocities and genocide globally and in the Asia-Pacific region. The specific aims are to:|
develop sophisticated, appropriate, and cutting-edge quantitative forecasting models,
improve understanding of the causes of political instability and conflict which greatly increase the probability of mass atrocities or genocide,
improve understanding of the crucial causal processes which lead from instability to mass atrocities or genocide, and
produce forecasts and reports which are useful as early warning tools for protection of vulnerable populations.
The project builds on the current academic literature, and employs machine-learning based forecasting techniques, which can greatly enhance analytical capacity in combination with standard qualitative and quantitative social science methods. The forecasts are intended to be used in combination with other quantitative and qualitative analysis and expert knowledge.
|Peoples Under Threat||Minority Rights Group International||Genocide and Attrocity Risk Data||The Peoples under Threat ranking highlights countries most at risk of genocide and mass killing. The ranking is created by compiling data on the known antecedents to genocide or mass political killing.||https://peoplesunderthreat.org/||Worldwide|
|Fund for Peace Fragile States Index||Fund for Peace||Fragility Data||The Fragile States Index (FSI) produced by The Fund for Peace (FFP), is a critical tool in highlighting not only the normal pressures that all states experience, but also in identifying when those pressures are outweighing a states’ capacity to manage those pressures. By highlighting pertinent vulnerabilities which contribute to the risk of state fragility, the Index — and the social science framework and the data analysis tools upon which it is built — makes political risk assessment and early warning of conflict accessible to policy-makers and the public at large.|
The strength of the FSI is its ability to distill millions of pieces of information into a form that is relevant as well as easily digestible and informative. Daily, FFP collects thousands of reports and information from around the world, detailing the existing social, economic and political pressures faced by each of the 178 countries that we analyze.
|INFORM Risk Index||UN Inter-Agency Standing Comm. Ref. Group on Risk, Early Warning & Preparedness & European Comm.||Humanitarian Data||The INFORM Risk Index is a global, open-source risk assessment for humanitarian crises and disasters. It can support decisions about prevention, preparedness and response.||https://drmkc.jrc.ec.europa.eu/inform-index/INFORM-Risk||Worldwide|
|Global Peace Index||Institute for Economics and Peace||Peace and Security Data||Produced by the Institute for Economics and Peace (IEP), the GPI is the world’s leading measure of global peacefulness. This report presents the most comprehensive data-driven analysis to-date on trends in peace, its economic value, and how to develop peaceful societies. The GPI covers 99.7% of the world’s population, using 23 qualitative and quantitative indicators from highly respected sources, and measures the state of peace across three domains:|
– the level of Societal Safety and Security,
– the extent of Ongoing Domestic and International Conflict,
– and the degree of Militarisation.
|Positive Peace Index||Institute for Economics and Peace||Peace and Security Data||Peace is much more than the absence of violence. Positive Peace describes the attitudes, structures and institutions that underpin and sustain peaceful societies. The Institute has developed a conceptual framework, known as the Pillars of Peace, that outlines a system of eight factors that work together to build positive peace. Derived from a statistical analysis of over 4,000 datasets, the Pillars of Peace provides a roadmap to overcome adversity and conflict, and to build lasting peace.||https://www.economicsandpeace.org/research/||Worldwide|
|Global Terrorism Index||Institute for Econ. and Peace & Study of Terrorism and Responses to Terrorism (START)||Terrorism Data||The GTI report is produced by the Institute for Economics & Peace (IEP) using data from Terrorism Tracker and other sources. The GTI produces a composite score so as to provide an ordinal ranking of countries on the impact of terrorism. The GTI scores each country on a scale from 0 to 10; where 0 represents no impact from terrorism and 10 represents the highest measurable impact of terrorism.||https://www.visionofhumanity.org/maps/global-terrorism-index||Worldwide|
|Women, Peace and Security Index||Georgetown Institute for Women Peace and Security Index||Women Inclusion & Security Data||The third edition of the global Women Peace and Security Index (WPS Index) draws on recognized data sources to measure women’s inclusion, justice, and security in 170 countries.|
Trends in the WPS Index show that the global advance of women’s status has slowed and disparities have widened across countries.
The WPS Index is published by the Georgetown Institute for Women, Peace and Security and the PRIO Centre on Gender, Peace and Security with support from the Norwegian Ministry of Foreign Affairs.
|Freedom House Aggregate Score||Freedom House||Political and Civil Rights Data||Freedom House rates people’s access to political rights and civil liberties in 210 countries and territories through its annual Freedom in the World report. Individual freedoms—ranging from the right to vote to freedom of expression and equality before the law—can be affected by state or nonstate actors. Click on a country name below to access the full country narrative report.||https://freedomhouse.org/countries/freedom-world/scores||Worldwide|
|VDEM Egalitarian Democracy Index||VDEM Institute (Staffan I. Lindberg) Department of Political Science, University of Gothenburg||Democracy Data||Varieties of Democracy (V-Dem) is an unique approach to conceptualizing and measuring democracy. We provide a multidimensional and disaggregated dataset that reflects the complexity of the concept of democracy as a system of rule that goes beyond the simple presence of elections. The V-Dem project distinguishes between five high-level principles of democracy: electoral, liberal, participatory, deliberative, and egalitarian, and collects data to measure these principles.||https://www.v-dem.net/||Worldwide|
|World Inequality Database||World Inequality Lab||Income Inequality Data||The World Inequality Database (WID.world) aims to provide open and convenient access to the most extensive available database on the historical evolution of the world distribution of income and wealth, both within countries and between countries.||https://wid.world/||Worldwide|
|Gender Inequality Index||UNDP||Gender Inequality Data||The GII is an inequality index. It measures gender inequalities in three important aspects of human development—reproductive health, measured by maternal mortality ratio and adolescent birth rates; empowerment, measured by proportion of parliamentary seats occupied by females and proportion of adult females and males aged 25 years and older with at least some secondary education; and economic status, expressed as labour market participation and measured by labour force participation rate of female and male populations aged 15 years and older. The GII is built on the same framework as the IHDI—to better expose differences in the distribution of achievements between women and men. It measures the human development costs of gender inequality. Thus the higher the GII value the more disparities between females and males and the more loss to human development.||https://hdr.undp.org/en/content/gender-inequality-index-gii||Worldwide|
|WJP Rule of Law Index||Juan Carlos Botero, Mark David Agrast, and Alejandro Ponce, World Justice Project||Rule of Law Data||The World Justice Project Rule of Law Index® is the world’s leading source for original, independent data on the rule of law. Covering 139 countries and jurisdictions, the Index relies on national surveys of more than 138,000 households and 4,200 legal practitioners and experts to measure how the rule of law is experienced and perceived worldwide.||https://worldjusticeproject.org/our-work/research-and-data/wjp-rule-law-index-2021||Worldwide|
|Human Development Index||World Bank||Health and Standard of Living Data||The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.|
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.
|Corruption Perceptions Index||Transparency International||Corruption Data||The Corruption Perceptions Index (CPI) is the most widely-used global corruption ranking in the world. It measures how corrupt each country’s public sector is perceived to be, according to experts and businesspeople.||https://www.transparency.org/en/cpi/2021||Worldwide|
|Environmental Performance Index||Yale University and Columbia University in collaboration with the World Economic Forum||Environmental Policy Data||Using 32 performance indicators across 11 issue categories, the EPI ranks 180 countries on environmental health and ecosystem vitality. These indicators provide a gauge at a national scale of how close countries are to established environmental policy targets. The EPI offers a scorecard that highlights leaders and laggards in environmental performance and provides practical guidance for countries that aspire to move toward a sustainable future.||https://epi.yale.edu/||Worldwide|
|Global Food Security Index||Economist Intelligence Unit||Food Security Data||The Global Food Security Index (GFSI) considers the issues of food affordability, availability, quality and safety, and natural resources and resilience across a set of 113 countries. The index is a dynamic quantitative and qualitative benchmarking model constructed from 58 unique indicators that measure the drivers of food security across both developing and developed countries.||https://impact.economist.com/sustainability/project/food-security-index/||Worldwide|
|Peacebuilding Architecture Review: Matrix of Recommendations||NYU Center on International Cooperation||Peace and Security Data||Across 2020, the United Nations (UN) invited contributions to its Peacebuilding Architecture Review (PBAR). On paper, a consultative process is a good idea. But in practice, participants can come out of it frustrated. The PBAR was no exception. Most contributors looked at the secretary-general’s report in the hope of seeing their recommendations reflected—but apart from general statements with which few could disagree, the report focused mainly on providing examples of UN’s successful activities. Contributors were left to wonder if their inputs benefitted from enough attention to justify the hours and resources invested in the process.|
To rescue these efforts from oblivion, CIC undertook—with the support of the UK Foreign, Commonwealth & Development Office—a daunting task: extracting the recommendations from the more than 70 papers that were submitted for the PBAR. Close to 800 recommendations from the UN, member states, civil society organizations, Independent Eminent Persons, and Peacebuilding Commission (PBC) consultations were consolidated in a matrix..
|USIP CM-CRT Dataset||USIP Non-Violent Action Program||Non Violent Social Mobilization Data||The data, collected at the event level, provides a detailed look at how mobilization changes in the aftermath of successful nonviolent action campaigns and how those changes in mobilization interact with crucial secondary factors like government repression, dialogue and negotiation processes, and institutional change. Each event includes information on over 100 variables, capturing dozens of distinct concepts such as inclusivity, size, repression and foreign support.||https://public.tableau.com/app/profile/usip.nonviolent.action.program/viz/USIPCM-CRTDataset/Civic-MobilizationEvents||Worldwide|
|DME for Peace Website||Search for Common Ground||Design, Monitoring, and Evaluation Data||DME for Peace was created to provide professionals in the peacebuilding, development and humanitarian sectors with a platform to share tools, methodologies and findings among the community to help them identify and demonstrate what works, what does not and why. DME for Peace is a consortium and network of practitioners, evaluators and academics that share best and emerging practices on how to design, monitor and evaluate peacebuilding programs. The site has more than 1,000 resources focused on design, monitoring and evaluation that are shared and posted by the community in order to promote greater collaboration and transparency as well as increase the effectiveness of the peacebuilding field.||https://www.dmeforpeace.org/||Worldwide|
|The Armed Conflict Location & Event Data Project||ACLED||Conflict Data||ACLED collects real-time data on the locations, dates, actors, fatalities, and types of all reported political violence and protest events around the world.||https://acleddata.com/#/dashboard||Worldwide|
|Uppsala Conflict Data Program||Uppsala||Conflict Data||The Uppsala Conflict Data Program (UCDP) is the world’s main provider of data on organized violence and the oldest ongoing data collection project for civil war, with a history of almost 40 years. Its definition of armed conflict has become the global standard of how conflicts are systematically defined and studied.||https://ucdp.uu.se/||Worldwide|
|Peace Accords Matrix||University of Notre Dame, Kroc Institute||Peace Accords Data||The PAM database is a unique source of qualitative and quantitative longitudinal data on the implementation of 34 Comprehensive Peace Agreements (CPAs) negotiated between 1989 and 2012. Drawing on this world class, peer-reviewed database, PAM researchers have developed a quantitative methodology to track the progress of peace accord implementation. The PAM database serves as a valuable tool for analysis, which the Kroc Institute uses to support the negotiation and implementation of peace accords, including the implementation of the Colombian peace accord.||https://peaceaccords.nd.edu/||Worldwide|
|Eirene Peacebuilding Database||Alliance for Peacebuilding||Design, Monitoring, and Evaluation Data||The Eirene Peacebuilding Database® is the culmination of nearly two years of work to search, catalogue, curate, and share peacebuilding key indicators that will help you all better assess your work and measure impact. It puts forward program approaches, indicators, and measures currently being used in peacebuilding across seven program areas.||https://www.allianceforpeacebuilding.org/eirene-peacebuilding-database||Worldwide|
|The Correlates of War Project||Correlates of War Project||Conflict Data||COW seeks to facilitate the collection, dissemination, and use of accurate and reliable quantitative data in international relations. Key principles of the project include a commitment to standard scientific principles of replication, data reliability, documentation, review, and the transparency of data collection procedures. More specifically, we are committed to the free public release of data sets to the research community, to release data in a timely manner after data collection is completed, to provide version numbers for data set and replication tracking, to provide appropriate dataset documentation, and to attempt to update, document, and distribute follow-on versions of datasets where possible.||https://correlatesofwar.org/||Worldwide|
|International Crisis Behavior||Duke University||Peace and Conflict Data||The aim of the ICB Project is to shed light on a pervasive phenomenon of world politics. There are four specific objectives: the accumulation and dissemination of knowledge about interstate crises and protracted conflicts; the generation and testing of hypotheses about the effects of crisis-induced stress on coping and choice by decision makers; the discovery of patterns in key crisis dimensions – onset, actor behavior and crisis management, superpower activity, involvement by international organizations, and outcome; and application of the lessons of history to the advancement of international peace and world order.||https://sites.duke.edu/icbdata/||Worldwide|
|SIPRI Arms Transfers Database||Stockholm International Peace Research Institute||Arms Transfer Data||The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms.||https://www.sipri.org/databases/armstransfers||Worldwide|
|SIPRI Multilateral Peace Operations Database||Stockholm International Peace Research Institute||Peace Operations Data||The SIPRI database on multilateral peace operations provides comprehensive, reliable and authoritative data on all multilateral peace operations (both UN and non-UN) conducted around the world. The purpose of the database is to present an annual snapshot of multilateral peace operation deployments. SIPRI is currently expanding its multilateral peace operations database and, among other things, moving from annual to monthly snapshots. ||https://www.sipri.org/databases/pko||Worldwide|
|Global Internal Displacement Database (GIDD)||Internal Displacement Monitoring Centre||Humanitarian Data||The Displacement Data tab is a portal through which you can view the published figures from our annual flagship reports. These are the figures that have been able to validate through internal quality assurance and external peer review.|
The Global Displacement Risk Model is a tool for exploring and visualising disaster-related displacement risk metrics such as how many people are likely to be displaced per country per year, or over five- or ten-year period. It also enables users to assess the likelihood of the occurrence of specific displacement events, for instance a cyclone that displaces 100,000 people or an earthquake that displaces 50,000 people.
|Humanitarian Data Exchange||UN OCHA Centre for Humanitarian Data||Humanitarian Data||The Humanitarian Data Exchange (HDX) is an open platform for sharing data across crises and organisations. Launched in July 2014, the goal of HDX is to make humanitarian data easy to find and use for analysis.||https://data.humdata.org/dataset||Worldwide|
|Peace Agreements Database||The University of Edinburgh||Peace Agreements Data||The PA-X Peace Agreement Database (www.peaceagreements.org) is a database and repository of peace agreements from 1990 to date, current up until 1 June 2021. PA-X provides a comprehensive dataset of peace agreements from 1990 to mid-2021, capable of underpinning both quantitative and qualitative research. It aims to be accessible to:|
• mediators and parties in conflict seeking to understand how compromise can be crafted
• civic actors seeking to influence on-going peace talks and proposals
• social science researchers interested in understanding peace agreements quantitatively and qualitatively.
|African Peace Processes (APP)||ETH Zurich||Peace Negotiations Data||The “African Peace Processes (APP)” dataset covers peacemaking efforts in armed conflicts in Africa over the 1989–2019 period. Specifically, the APP dataset identifies rounds of peace negotiations in armed conflicts listed by the Uppsala Conflict Database Program (UCDP). Overall, the data cover more than 2,600 individual peace-negotiation rounds across 769 conflict-years in Africa. For each negotiation round, the APP dataset lists the start and end dates, and provides information on the negotiation’s outcome as well as on any third party involved as a mediator.||https://css.ethz.ch/en/research/datasets/african-peace-processes--app-.html||Africa|
|INFORM Severity Index||ACAPS||Humanitarian Data||The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. This global severity analysis is coherent with other types of severity analysis conducted by ACAPS, in the field, at a subnational level.||https://www.acaps.org/methodology/severity||Worldwide|
|Gender Gap Index||World Economic Forum||Gender Inequality Data||The Gender Gap Index quantifies the gaps between women and men in four key areas: health, education, economy, and politics. Data is available from 149 countries for select years between 2010-2021. Scores are based on the level of access women have to resources and opportunities relative to men. Countries are given a score from 0-1. A score of 1 indicates full equality between women and men and a score of 0 indicates full inequality. The Gender Gap Index is published annually by the World Economic Forum (WEF) and is designed to capture the magnitude of gender-based disparities and track progress over time.||https://reports.weforum.org/global-gender-gap-report-2018/data-explorer/||Worldwide|
|Women's Participation in Peace Processes||Council on Foreign Relations||Gender & Peace Agreements Data||This interactive displays data on women’s participation in a selection of major Track I (formal or official) peace processes since 1992, building on research by the Women and Foreign Policy program (WFP) at the Council on Foreign Relations (CFR) and data featured in the UN Women report Women’s Participation in Peace Negotiations: Connections Between Presence and Influence. The following outlines the methodologies used by WFP scholars and includes a definition of terms.||https://www.cfr.org/womens-participation-in-peace-processes/explore-the-data||Worldwide|
|Dynamic Analysis of Dispute Management (DADM) Project||University of Central Arkansas||Third Party Dispute Management Data||The Dynamic Analysis of Dispute Management (DADM) Project was established to assist scholars and students in researching and analyzing efforts by third-party actors – including states, intergovernmental organizations (IGOs), and non-governmental organizations (NGOs) – to manage intrastate or domestic political disputes during the 20th and 21st centuries. The project includes two basic activities: (1) the collection of information associated with cases of intrastate disputes and third-party management of intrastate disputes in the 20th and 21st centuries (intrastate dispute narratives); and (2) the coding of information related to cases of intrastate disputes and third-party management of intrastate disputes in the 20th and 21st centuries (data sets).||https://uca.edu/politicalscience/dadm-project/||Worldwide|
|Language of Peace||Lauterpacht Centre for International Law (University of Cambridge), in collaboration with the United Nations Mediation Support Unit||Peace Instruments, Terminology||The Language of Peace (LoP) data base of peace agreements is a key component of United Nations Mediation Support Unit’s online mediation support capacity. The database has been co-developed with Cambridge University. It is an innovative tool to search provisions of peace agreements providing easy access to compare and collate language on key issues across 75,000+ provisions of around 1,000 peace agreements.||https://www.languageofpeace.org/#/||Worldwide|
|Peace Agreements Database||United Nations||Peace Agreements Data||The database is a reference tool providing peacemaking professionals with close to 800 documents that can be understood broadly as peace agreements and related material. Users can access the full texts of the agreements in different languages and can use different search criteria, including searching by a number of different thematic issues.||https://peacemaker.un.org/document-search||Worldwide|
|Land Conflict Watch||Land Conflict Watch||Land Tenure Conflict Data||Land Conflict Watch is a research-based data journalism project that maps, collects, and analyses ongoing land conflicts in India. It not only presents a macro picture at the national level but also zooms in to give details of each conflict at the micro level.||https://www.landconflictwatch.org/#home||India|
|Aid Worker Security Database||Humanitarian Outcomes||Aid Worker Security Data||The Aid Worker Security Database (AWSD) records major incidents of violence against aid workers, with incident reports from 1997 through the present. Initiated in 2005, to date the AWSD remains the sole comprehensive global source of these data, providing the evidence base for analysis of the changing security environment for civilian aid operations.||https://aidworkersecurity.org/||Worldwide|
|Global Database of Humanitarian Organizations||Humanitarian Outcomes||Humanitarian Data||GDHO is a global compendium of organisations that provide aid in humanitarian crises. The database includes basic organisational and operational information on these humanitarian providers, which include international non-governmental organisations (grouped by federation), national NGOs that deliver aid within their own borders, UN humanitarian agencies, and the International Red Cross and Red Crescent Movement.||https://www.humanitarianoutcomes.org/projects/gdho||Worldwide|
|Conflict Data Dashboard||NGO Safety||Conflict Data||Updated weekly, this dashboard presents all recorded security incidents by date, location, type, perpetrator and the impact on civilians. ||https://ngosafety.org/conflict-data-dashboard/||Worldwide|
|Evidence database||Anticipatory Hub||Early Warning & Anticipatory Action Data||This database complements the Early Action Database by collating evidence on the effectiveness of (potential) early actions. Its primary purpose is to help practitioners evaluate and compare early actions based on existing data. As anticipation is a relatively new concept, evidence from anticipatory humanitarian programs may be lacking for many actions. For this reason, to the extent possible, the database also includes evidence from Development, Disaster Risk Reduction, and Humanitarian Response interventions/actions that could be adapted to the anticipatory context (see the implementation context filter). This way, practitioners can still learn from what is known about specific interventions in non-anticipatory contexts.||https://www.anticipation-hub.org/experience/evidence-database/evidence-list||Worldwide|
|Conflict Barometer||Heidelberg Institute for International Conflict Research||Political Conflicts Data||The Heidelberg Institute for International Conflict Research’s (HIIK) annually published Conflict Barometer grades countries based on the intensity of sub-national, national or international conflict they are currently experiencing, according to publicly available data.||https://hiik.de/?lang=en||Worldwide|
|Humanitarian Aid Contributions||UN OCHA||Humanitarian Data||FTS is a centralized source of curated, continuously updated, fully downloadable data and information on humanitarian funding flows. Government donors, UN-administered funds, UN agencies, NGOs and other humanitarian actors and partners exchange data and information with FTS in order to provide:|
visibility of their financial contributions to humanitarian activities
a timely and continuously updated picture of funding flows between donors (government and private) and operational humanitarian actors (UN agencies, the Red Cross Movement, NGOs and CSOs)
timely monitoring of funding progress against humanitarian response plan (HRP) and appeal requirements.
|International Aid Transparency Initiative Data||International Aid Transparency Initiative||Humanitarian & Development Data||Data published to IATI covers information about organisations and their development or humanitarian work, including finances, location, sector, results, conditions and supporting documents.||https://iatistandard.org/en/iati-tools-and-resources/||Worldwide|
|Global Registry of Violent Deaths (GReVD)||GReVD||Conflict Data||The Global Registry of Violent Deaths (GReVD, pronounced like ”grieved”) will be a database of every violent death coded by time and location. The primary use of the registry will be monitoring and counting violent deaths as an important part of monitoring global violence trends. Furthermore, it is expected that the database will be an important record and recognition of lives lost to violence.|
To build the infrastructure necessary to monitor violent deaths at this scale, new coding standards, innovations in human and machine coding and increased precision of coding will be necessary. Innovations in these technologies and practices will be shared within the consortium. These innovations will be shared with governments of countries affected by violence so that global monitoring of violence can improve. The consortium is committed to helping countries and civil society improve their monitoring of violence as an important component of promoting global violence reduction.
|Ceasefires Tracker: Monitorings the effects of Covid ceasefires on peace processes and armed conflict.||PeaceRep||Ceasefire Data||The Covid-19 Ceasefire Tracker is a publicly available digital tracking tool to examine the consequences of the coronavirus outbreak on peace processes and armed conflict across the world. The tool monitors the progress of ceasefires alongside live data on infection rates in country. The data can be viewed in a timeline format, a search browse format, and a map format which also includes live data on infection rates in country.||https://peacerep.org/covid19/research/ceasefires/||Worldwide|
|Global Militarisation Index||Bonn International Centre for Conflict Studies||Militarisation Data||With its Global Militarisation Index (GMI), BICC is able to objectively depict worldwide militarisation for the first time. The GMI compares, for example, a country’s military expenditure with its Gross Domestic Product (GDP) and its health expenditure. It contrasts the total number of military and paramilitary forces in a country with the number of physicians. Finally, it studies the number of heavy weapons available to a country’s armed forces. These and other indicators are used to determine a country’s ranking, which in turn makes it possible to measure the respective level of militarisation in comparison to other countries.||https://www.bicc.de/publications/publicationpage/publication/global-militarisation-index-2021-1140/||Worldwide|
|ACAPS Risk List||ACAPS||Risk Data||The dataset contains risks identified by ACAPS analysts in their daily monitoring and analysis of more than 100 humanitarian crises worldwide||https://crisisinsight.acaps.org/risklist||Worldwide|