April 29th and 30th are now set for New Jersey Big Data Alliance’s 8th Annual Symposium that will showcase how New Jersey’s state, cities and communities are using big data to improve equity, sustainability and prosperity for the benefit of their community members.
The free two event is open to the public who will hear opening remarks from: Dr. Peggy Brennan-Tonetta, President, NJBDA; Director, Resource and Economic Development, NJAES, Rutgers University Dr. Andrea Goldsmith, Dean, School of Engineering & Applied Science, Princeton University and Beth Noveck, Chief Innovation Officer, State of New Jersey.
The virtual agenda hosted by Princeton University includes:
Stephen Goldsmith, Derek Bok Professor of the Practice of Urban Policy, Harvard Kennedy School, who will discuss “New Tools and New Frontiers for Community Impact through Data”, and
Tara Dawson McGuinness, Fellow and Senior Adviser, New Practice Lab, New America, who will discuss “Power to the Public: The Promise of Public Interest Technology”.
The conference agenda also includes panel discussions, workshops, and research presentations around the theme of Big Data for Community Impact.
The panel discussion titled, “Smart Data for Communities: Vision and Implementation” will focus on how municipalities and states are leveraging data for community impact often within a vision or framework providing context and priorities. Several municipal case studies will explore how the vision of data-enabled government co-evolves with the implementation to address opportunities and challenges.
The moderator is E. Steven Emanuel, CGI Consulting; Former CIO, State of New Jersey; Former CIO, City of Newark. The panelists are: Bernadette Kurcharczuk, Jersey City; Tim Moreland, Chattanooga and Ruthbea Yessner, IDC.
In addition, student research will be exhibited by current undergraduate or graduate students attending an institution of higher education. To be featured a project proposal should be submitted no later than April 5th on one of the following topics: e-sports, smart cities, AI, machine learning, or big data. Submissions are not limited to students from NJBDA member schools and may be completed by small groups consisting of members from one or more higher education institutions.