Leveraging Predictive Analytics to Address Climate Change Issues

The impact of climate change is wide-ranging and encompasses environmental, financial, and safety issues. Data, including sensor data, real-time or near real-time data and analytics, and predictive analytics are essential tools for the Federal Government to leverage to predict, forecast, and mitigate the adverse effects of climate change. In this Webinar, climate change and data science experts will discuss best practices, use cases and initiatives, and the best path forward on how data and predictive analytics can be leveraged in supporting an action plan. What data is needed? How can it be collected? What models should be used for a quicker, more effective, and efficient impact?

Speaker and Presenter Information

Malio West
Global Accounting, CEO

Sonal Larsen
Senior Advisor to the Administrator, Climate, GSA

Chakib Chraibi
Chief Data Scientist, NTIS

Ed Kearns
Chief Data Officer, First Street Foundation

Relevant Government Agencies

Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Census Bureau, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, USAID, State & Local Government, National Guard Association, EEOC, Federal Government, FDA, Foreign Governments/Agencies, NSA, FCC