Computational Social Welfare: Application of Big Data in Research and Practice
This event is free and open to the public, however registration is required. Continuing Education units available (see registration page for details).
About the Presentation
Big Data is everywhere. Business. Finance. Government.
However, the fields of social work and welfare have yet to benefit from Big Data as thoroughly as other sectors. Employed to its fullest, Big Data has the potential to vastly improve the lives of vulnerable populations by expanding access to services, improving organizational efficiencies, enhancing the quality of public and private programs, and reducing the costs of services. In China, the Guizhou Berkeley Big Data Innovation Research Center (GBIC) is working to make it all possible and could provide crucial lessons for the application of Big Data to social services in the US.
During this revealing presentation, Dr. Julian Chun-Chung Chow (bio) and Dr. Marla Stuart (bio) will discuss their work at GBIC regarding the application of data management and analytics to inform and improve the way society can support vulnerable populations.
Hosted by the China Center for Social Policy, this event is free and open to the public, however registration is required. Continuing Education credits are available for a fee (see below).
To register to attend in person or virtually via livestream, click Register Here.
Continuing Education Information
CE registration is $37.50 for 1.5 contact hours awarded for NYS, NJ and CT licensed social workers and NYS licensed mental health counselors. Licensed social workers for other states, please email firstname.lastname@example.org. Columbia University School of Social Work is a CSWE accredited institution. Additional details regarding continuing education units can be found on the registration page for this event.
For more Continuing Education workshops, click here.