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Description Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
Gender-based violence, or GBV, is an ongoing and ever-resent scourge around the world and is particularly prevalent in developing and least-developed countries. Gender-based violence also increased in many parts of the world during the COVID-19 pandemic.
One of the greatest challenges in combating GBV is the ‘culture of silence’, where victims of violence are scared, ashamed, or intimidated to discuss their experiences with others and often do not report their experiences to authorities.
Another challenge faced by victims is achieving justice for their abusers. Some may not be aware of support systems, or not know where and how to report the perpetrators.
Victims may find safety sharing their experiences online (as evidenced by the #MeToo movement), allowing them to get more support in an anonymous and safe way.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.
Your solutions can be used to summarise tweets and present evidence to policymakers and law enforcement agencies. Along with the classification algorithm, statistics about when and who made the tweet can be used to find trends while preserving anonymity.
About SDG5: Gender Equality
Gender equality is a fundamental and inviolable human right and women’s and girls’ empowerment is essential to expand economic growth, promote social development and enhance business performance. The full incorporation of women’s capacities into labor forces would add percentage points to most national growth rates – double digits in many cases. Further, investing in women’s empowerment produces the double dividend of benefiting women and children, and is pivotal to the health and social development of families, communities, and nations.
Empowering women and girls and achieving gender equality requires the concerted efforts of all stakeholders, including businesses. All companies have baseline responsibilities to respect human rights, including the rights of women and girls. Beyond these baseline responsibilities, companies also have the opportunity to support the empowerment of women and girls through core business, social investment, public policy engagement, and partnerships. As the engine for 90 percent of jobs in developing countries, technological innovation, capital creation, and investment, responsible business is critical to the advancement of women’s and girls’ empowerment around the world. With a growing business case, private sector leaders are increasingly developing and adapting policies and practices, and implementing cutting-edge initiatives, to advance women’s empowerment within their workplaces, marketplaces, and communities. The launch of the SDGs in September provides a tremendous opportunity for companies to further align their strategies and operations with global priorities by mainstreaming gender equality into all areas of corporate sustainability and systematically and strategically scaling up actions that support the development and livelihoods of women and girls.
About Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
The data was collected from Twitter using a Python library (twint) by Ambassador Lawrence Moruye for the AFD Gender-Based Violence Dataset Collection Challenge.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The G7 is a forum designed for frank and open discussion between leaders, ministers and policy-makers. As a member of the G7, Canada plays a leading role on the international stage and is able to advance domestic and international priorities. The G7 provides global leadership and serves as a powerful catalyst on issues that are later taken up by other fora with broader global and regional membership. The G7 brings together the world’s advanced economies to influence global trends and tackle pervasive and crosscutting issues, as well as emergent global crises. The G7 has strengthened international economic and security policies, advanced discussion of global issues including climate change and gender equality, brought donors together and supported disarmament programs. Most recently, the G7 has worked to tackle the COVID-19 pandemic and respond to Russia’s illegal invasion of Ukraine. At the G7, Canada has advanced its domestic and international priorities, including gender equality, peace and security, climate change and building a sustainable global economy. Transparent and inclusive engagement with Canadian and international stakeholders has helped Canada to deliver on priorities that are important to Canadians.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The G7 is a forum designed for frank and open discussion between leaders, ministers and policy-makers. As a member of the G7, Canada plays a leading role on the international stage and is able to advance domestic and international priorities. The G7 provides global leadership and serves as a powerful catalyst on issues that are later taken up by other fora with broader global and regional membership. The G7 brings together the world’s advanced economies to influence global trends and tackle pervasive and crosscutting issues, as well as emergent global crises. The G7 has strengthened international economic and security policies, advanced discussion of global issues including climate change and gender equality, brought donors together and supported disarmament programs. Most recently, the G7 has worked to tackle the COVID-19 pandemic and respond to Russia’s illegal invasion of Ukraine. At the G7, Canada has advanced its domestic and international priorities, including gender equality, peace and security, climate change and building a sustainable global economy. Transparent and inclusive engagement with Canadian and international stakeholders has helped Canada to deliver on priorities that are important to Canadians.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This study examines aggregate crime rates and the spatial distribution of violence against women (VAW) both before and after the COVID-19 pandemic. It also explores the influence of socioeconomic and situational factors on these trends. The analysis assesses potential variations across different pandemic phases by addressing the following research questions: (1) Did VAW incident rates change during the different pandemic phases? (2) Did the spatial distribution of VAW incidents per municipality in Colombia change before, during, and after the pandemic? and (3) What key determinants significantly impacted VAW rates during the study period? Given the documented global rise in domestic and intimate partner violence against women during the pandemic, we hypothesized an increase in VAW incidents in Colombia from 2020 to 2022. Furthermore, based on existing literature, we predicted that urban municipalities, poverty, lack of education, coca cultivation, and the presence of non-state armed actors would predict higher VAW at the municipality level. Finally, we expected statistically significant VAW hot spots to remain consistent at the municipality level throughout the pandemic stages, due to persistent underlying risk factors in these areas. The findings revealed a significant post-quarantine decrease in VAW incidents, followed by a significant increase after the economy's gradual reopening in September 2020. Notably, the geographical distribution of VAW remained consistent, with persistent 'hot spot' concentrations in the same areas across all study periods. Furthermore, urbanization and higher general violent crime rates consistently predicted higher VAW rates. Conversely, the presence of armed groups and coca production were significant negative predictors, while education's impact on VAW rates was mixed.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Pakistan Demographic and Health Survey PDHS 2017-18 was the fourth of its kind in Pakistan, following the 1990-91, 2006-07, and 2012-13 PDHS surveys. The primary objective of the 2017-18 PDHS is to provide up-to-date estimates of basic demographic and health indicators. The PDHS provides a comprehensive overview of population, maternal, and child health issues in Pakistan. Specifically, the 2017-18 PDHS collected information on: Key demographic indicators, particularly fertility and under-5 mortality rates, at the national level, for urban and rural areas, and within the country’s eight regions Direct and indirect factors that determine levels and trends of fertility and child mortality Contraceptive knowledge and practice Maternal health and care including antenatal, perinatal, and postnatal care Child feeding practices, including breastfeeding, and anthropometric measures to assess the nutritional status of children under age 5 and women age 15-49 Key aspects of family health, including vaccination coverage and prevalence of diseases among infants and children under age 5 Knowledge and attitudes of women and men about sexually transmitted infections (STIs), including HIV/AIDS, and potential exposure to risk Women's empowerment and its relationship to reproductive health and family planning Disability level Extent of gender-based violence Migration patterns The information collected through the 2017-18 PDHS is intended to assist policymakers and program managers at the federal and provincial government levels, in the private sector, and at international organisations in evaluating and designing programs and strategies for improving the health of the country’s population. The data also provides information on indicators relevant to the Sustainable Development Goals.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Description Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
Gender-based violence, or GBV, is an ongoing and ever-resent scourge around the world and is particularly prevalent in developing and least-developed countries. Gender-based violence also increased in many parts of the world during the COVID-19 pandemic.
One of the greatest challenges in combating GBV is the ‘culture of silence’, where victims of violence are scared, ashamed, or intimidated to discuss their experiences with others and often do not report their experiences to authorities.
Another challenge faced by victims is achieving justice for their abusers. Some may not be aware of support systems, or not know where and how to report the perpetrators.
Victims may find safety sharing their experiences online (as evidenced by the #MeToo movement), allowing them to get more support in an anonymous and safe way.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.
Your solutions can be used to summarise tweets and present evidence to policymakers and law enforcement agencies. Along with the classification algorithm, statistics about when and who made the tweet can be used to find trends while preserving anonymity.
About SDG5: Gender Equality
Gender equality is a fundamental and inviolable human right and women’s and girls’ empowerment is essential to expand economic growth, promote social development and enhance business performance. The full incorporation of women’s capacities into labor forces would add percentage points to most national growth rates – double digits in many cases. Further, investing in women’s empowerment produces the double dividend of benefiting women and children, and is pivotal to the health and social development of families, communities, and nations.
Empowering women and girls and achieving gender equality requires the concerted efforts of all stakeholders, including businesses. All companies have baseline responsibilities to respect human rights, including the rights of women and girls. Beyond these baseline responsibilities, companies also have the opportunity to support the empowerment of women and girls through core business, social investment, public policy engagement, and partnerships. As the engine for 90 percent of jobs in developing countries, technological innovation, capital creation, and investment, responsible business is critical to the advancement of women’s and girls’ empowerment around the world. With a growing business case, private sector leaders are increasingly developing and adapting policies and practices, and implementing cutting-edge initiatives, to advance women’s empowerment within their workplaces, marketplaces, and communities. The launch of the SDGs in September provides a tremendous opportunity for companies to further align their strategies and operations with global priorities by mainstreaming gender equality into all areas of corporate sustainability and systematically and strategically scaling up actions that support the development and livelihoods of women and girls.
About Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
The data was collected from Twitter using a Python library (twint) by Ambassador Lawrence Moruye for the AFD Gender-Based Violence Dataset Collection Challenge.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.