The Rise of Data Science for Social Good

Thursday, April 21, 2016
12:00 pm to 1:00 pm PDT
JeanCarlo Bonilla, DataKind

The rise of data science has been backed by a promise of changing the business landscape by providing competitive advantage, business optimization and efficiency, and ultimately a better bottom-line. And in many instances this promise had been delivered. Is this webinar, we explore how data science, as promise for change, can be used to reduce human suffering. JeanCarlo will discuss how to harness the power of data science in the service of human. Learn more about data science for social good and how to use cutting-edge analytics and advanced algorithms to maximize social impact.

JeanCarlo (J.C.) Bonilla is a technology and data management expert specializing in data-driven decisions, technology strategy, and insight delivery. JeanCarlo has over ten years of experience in cross-functional roles with responsibilities encompassing analytics solutions, strategic planning, technology selection and implementation, staffing, coaching, and resource and budget planning. At DataKind, he leads programs and the portfolio of projects, ensuring projects are designed to achieve maximum impact. JeanCarlo started his career as an engineer in the semiconductor community, followed by a decade in academia. When J.C. is not at DataKind, he can be found teaching tech strategy or business analytics at New York University. He holds a B.S. & M.S. in electrical engineering and Ph.D. in technology management.

To connect to the webinar

  1. Visit http://berkeleydatascience.adobeconnect.com/myseminar/

  2. Type in your name and enter the room as a guest. There may be a short waiting period; please be patient.

  3. When you get into the room, a popup window will appear with instructions to connect your audio.

    • If you are accessing the session from within the United States, click on the “Dial-Out” option, type in your phone number and choose “Join.” You will receive a call directly from the room's conference line. Answer it to connect to the lecture's audio.

    • If you are accessing the session from outside of the United States, click on the “Dial-In” option. The conference number and participant code will appear so that you can access the audio from your phone or Internet phone service.

To run a compatibility test to ensure that your system is properly configured, please go to http://link.datascience.berkeley.edu/907SFM2620001Lz004c9Q00

Last updated:

April 21, 2016