Meet a TReNDS Expert: Jeanne Holm
Written by TReNDS Staff
In the Meet TReNDS series, we introduce you to TReNDS' experts, staff, and friends–leading individuals and organizations in the broader data for development community.
TReNDS expert Jeanne Holm, Deputy CIO and Senior Tech Advisor to the Mayor, City of Los Angeles; Distinguished Instructor UCLA
As a leader in open data, education, and civic innovation, Jeanne Holm empowers people to discover new knowledge and collaborate to improve life on Earth and beyond. Jeanne is the Deputy CIO and Senior Technology Advisor to the Mayor for the City of Los Angeles, bringing technical innovations to 4 million people. Her work in Los Angeles focuses on delivering great city services like 311, public television and new media, ShakeAlertLA, and public-private collaborations for technology innovations ranging from data science to 5G. She was formerly the Evangelist for open data for the White House under President Obama, the leader for Africa open data for the World Bank, and the Chief Knowledge Architect at NASA. She is a Distinguished Instructor at UCLA and a Fellow of the United Nations International Academy of Astronautics. She directs two startups that promote peace and social justice through technology and education programs for innovators throughout the world.
TReNDS Staff: In your career, what area of data for development have you primarily focused on?
Jeanne Holm: Government data, data architecture, space data, open data ecosystems, data for Africa, architect of data.gov
What emerging area of data for development are you most eager to tackle in your own work?
Data for social good, artificial intelligence (AI), and predictive analytics for development
What emerging area of data for development are you most eager to see addressed by the community at large?
Disaggregation of global data for country and regional governments to easily use, data literacy training, development of data science curriculum
What are you most eager to engage in with TReNDS?
How new data combined with technologies like AI, machine learning, predictive analytics, and others can provide radically different insights for development