We’re excited to announce that DataKind has launched a cohort of seven U.S.-based, economic empowerment-focused DataCorps ® projects! This cohort of projects is part of a portfolio of work that we kicked off in 2021 to leverage data science and AI with mission-driven organizations focused on economic resilience across the …
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 »
During the high-energy, three-day marathon-style DataDive® event that took place March 4-7, 2021, volunteers on this project set out to do the following:
