Many mission-driven organizations understand the power of data science, but they’re often stymied by a lack of data, unsure of where to look to obtain the right data, or confused as to the limitations and ethical considerations of launching a data science project. This webinar is for every organization that wants to launch a data for good project. To execute and maintain a strong data science for good project, DataKind believes that selecting the data source and considering the ethical implications of the data science project go hand in hand. In this webinar, DataKind will share possible data sources to consider using for your inclusive growth and recovery project, including open source and overlooked data. More importantly, DataKind will walk attendees through the ethical considerations of selecting data and data science solutions, and what the “risks of things going right” might be. We’ll dive into how to apply research ethics to your project and how to prevent unintentional harm to the communities you’re aiming to help.
About Datakind: DataKind is a global nonprofit that harnesses the power of data science and AI in the service of humanity. Named one of Fast Company's top 10 innovative nonprofits, DataKind engages pro bono data scientists and leading social change organizations on projects that address critical humanitarian problems and drive the conversation about how machine learning and AI can be applied to solve the world’s biggest challenges. Launched in 2012, DataKind is headquartered in New York City and has Chapters in Bangalore, San Francisco, Singapore, the United Kingdom, and Washington DC.
About data.org: data.org is a platform for partnerships to build the field of data science for social impact. We envision a world that uses the power of data science to tackle society’s greatest challenges. data.org works with organizations from all over the world to increase the use of data science in order to improve the lives of millions of people.