Webcast: Building the Field of Data Science for Social Impact
With nearly 2.5 quintillion bytes of data produced daily, how might we leverage the potential of data to address the socio-economic challenges of the COVID-19 pandemic, systemic racism and the deepening divide of information inequality? Despite great advances in data science, those who most may benefit from precise and timely data analytics – the social sector and civic organizations – are lagging behind. With increased attention and support, they can leverage data analytics to make their work go further and faster, ultimately helping more people survive, thrive and strive in a digital economy. But transforming the role of data in addressing major social and economic issues is not a job for any one person or organization. Only through a crowding-in of time, talent and capital can the digital economy begin to work for everyone, everywhere.
On Tuesday, October 6, from 4-5 pm ET, Data Science for the Public Good and The Center for Inclusive Growth at Mastercard present the latest in their speaker series. Drawing on groundbreaking case studies and the use of data tools to unlock potential in economically distressed communities, Shamina Singh, founder and president of the Center for Inclusive Growth and executive vice president of corporate sustainability at Mastercard, together with leading data scientists from Mastercard Arturo Franco and Matthew Lindsay, and Michelle Thompson, senior data fellow at the center amd an associate professor at the University of New Orleans,, will share examples of how data is helping to advance an agenda of inclusive growth.For more Inclusive Growth content, join the Mastercard Center for Inclusive Growth Community.
You can register for the event here.
