Helping Students Graduate: DataKind Presents Work in Post-Secondary Education
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Helping Students Graduate: DataKind Presents Work in Post-Secondary Education Read More »
Background Access to clean water, sanitation, and hygiene (WASH) is critical for healthy and humane living conditions. Clean water and sanitation improves health and supports development in other sectors, such as education (particularly for women and girls), environmental stewardship, and the economy. Policy decisions around development and financing for WASH …
Predicting Poverty Using Satellite Imagery: DataKind San Francisco Shares Key Learnings Read More »
By DataKind San Francisco How can we better understand equity in local governments and the resources they provide to our communities? The City of San José is the tenth most populous city in the U.S., and one of the most diverse . The City of San José’s Mayor’s Office of …
By Shanna Lee, Director, Global Volunteers, DataKind As Global Volunteer Month approaches its end, we thank our global volunteer community past and present for your support of DataKind. We hosted a volunteer appreciation and networking event on April 21. It was a great time to reflect on recent DataKind happenings …
Celebrating Our Global Volunteer Community: The Power of Movement Building Read More »
At DataKind, we take an expansive definition of data ethics and responsible data science as broad terms that can be used to describe the appropriate handling of data, use and performance of models, inclusion of stakeholders, staffing of teams, and more. Incorporating ethical review and responsible data science practices has …
Talking Ethics in the DataKind Playbook: Highlights from our Lunch + Learn Read More »
Develop and provide Thresholds with a data warehouse to house, scale and process raw data from various sources including Thresholds internal systems, the Illinois Department of Healthcare and Family Services, the Cook County Jail and other potential future data sources.
Automate the process of data flow from a central database and create tools to help make managing patient data, generating reports and dashboards easier and more efficient for Thresholds staff, allowing them to better serve their patients.
Explore the possibilities of using predictive analytics to help Thresholds better tailor care to people suffering from mental illness.
De-siloing Data to Help Improve the Lives of those Suffering from Mental Illness Read More »
Gain basic insights about what newly released data shows about UK companies
Uncover flaws in the data to improve future data collection efforts
See whether the data points to any promising leads for further investigation
Using Open Data to Uncover Potential Corruption Read More »
Using Microcred’s loan application data and internal loan status information, build statistical models to help predict customer default and better inform decision making about lending to make it more efficient and inclusive.
Identify whether loan application data and factors such as past repayment behavior or late payments during the early stages of a loan cycle could predict default.
Advancing Financial Inclusion in Senegal Using Predictive Modeling Read More »
Partner with New York, Seattle, New Orleans, and Microsoft to explore how data science can help the Vision Zero movement, which aims to reduce traffic-related deaths and severe injuries to zero
Help New York City’s Department of Transportation improve traffic safety on its streets by understanding what existing safety interventions are working and where there is potential for improvement so the city can better allocate resources
Inform Seattle’s Department of Transportation’s Bicycle and Pedestrian Safety Analysis to provide policy makers and engineers with actionable information to best allocate funding for future safety interventions and to find out what factors may contribute to crashes–such as traffic volume, street characteristics and environmental variables
Help the City of New Orleans’ Office of Performance Accountability understand how effective street treatments, like bike lanes, traffic signage and other interventions, are at preventing traffic injuries and fatalities to inform future efforts
Creating Safer Streets Through Data Science Read More »
Understand who benefits from Llamau’s services so that the organization can better support the young homeless and vulnerable populations they serve.
Identify projects and locations that have the best outcomes, as well as those that need improving, and investigate contributing causes and factors.
Evaluate the outcomes from each of Llamau’s services to gain insights to help improve the services they provide to individuals.
Using Data to Create Paths out of Homelessness Read More »