DrivenData
UnclaimedConnecting data science talent with social impact challenges through online competitions and direct projects.
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TL;DR - DrivenData
- Connects data scientists with social impact projects.
- Hosts online machine learning competitions to solve real-world problems.
- Offers direct data science and engineering services to mission-driven organizations.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Addresses critical social impact challenges with data science
- Provides real-world problem-solving experience for data scientists
- Offers access to data science expertise for mission-driven organizations
- Promotes reproducible and ethical data science practices
- Shares prize-winning solutions and open-source tools
Cons
- Competition-based approach might not suit all project types
- Reliance on external data scientists for competitions could introduce variability
- Specific pricing for direct services is not transparently listed
Key Features
Online machine learning competitions for social impactDirect data science and engineering servicesOpen-source projects for data science community (e.g., cookiecutter data science, deon)Platform for model evaluation and rankingIntegration of winning models into organizational workflows
Pricing
Paid
DrivenData offers paid plans. Visit their website for current pricing details.
About DrivenData
By Toolradar Team·
DrivenData is a platform that leverages the power of AI and data science to address social impact challenges. It connects mission-driven organizations, such as those in international development, health, education, research, conservation, and public services, with a global community of data scientists. The platform facilitates online machine learning competitions where data scientists develop models to solve real-world problems posed by these organizations.
Beyond competitions, DrivenData also works directly with organizations through its in-house team of data scientists and engineers for more flexible needs or sensitive data. It aims to make data science capabilities accessible to organizations that might otherwise lack the resources, while providing data scientists with opportunities to apply their skills to meaningful social challenges. DrivenData also contributes to the data science community by maintaining open-source projects and sharing prize-winning solutions.
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DrivenData FAQ
How does DrivenData identify public health risks in restaurants?
DrivenData combines Yelp data with a city's open data on past inspections. This algorithmic approach helps predict public health risks, discovering approximately 25% more violations than traditional methods.
What open-source application did DrivenData develop for wildlife identification?
DrivenData developed the Zamba project, an open-source application that automatically identifies wildlife in video footage. This was achieved through a global algorithm development challenge, integrating the winning solution into the application.
How does DrivenData assist organizations with mobile money delivery in low-income populations?
DrivenData analyzes millions of mobile money records to uncover behavioral patterns. These insights are then combined with human-centered design to shape new approaches for delivering mobile money to low-income populations, as demonstrated in their work in Tanzania.
What is the purpose of the 'cookiecutter data science' project?
The 'cookiecutter data science' project is a popular open-source tool maintained by DrivenData. It provides a structured project layout to help organize data science work, making it easier to understand, reproduce, and build upon.
How does DrivenData address ethical considerations in data science projects?
DrivenData created 'deon,' an open-source command-line tool and ethics checklist. This tool provides concrete, actionable reminders to help data scientists address critical discussions around issues like privacy, bias, and downstream impacts in their projects.
Source: drivendata.org