Topic: Government Analytics
Intended Audience: Chief Analytics Officers, Chief Data Officers, Chief Risk Officers, Directors of Analytics, Chief Information Officers, Directors of Data Management, Program Managers, Chief Acquisition Officers, Grant Managers, Chief Financial Officers
Length: 52 minutes
On January 14, 2019, President Trump signed the OPEN Government Data Act into law as part of Pubic Law 115-445. The OPEN Government Data Act creates a presumption that all federal information should be standardized in machine-readable formats and freely-available for public access. The new law also requires every agency to appoint a chief data officer and develop a comprehensive inventory of all its data sets, not just the public ones.
The OPEN Government Data Act is much more than a transparency law. Its presumption in favor of machine-readability and public access will open up new internal uses as well as external ones. Empowered by the OPEN Government Data Act, federal executives will be better able to gain access to the internal data they need to empower analytics and drive decisions.
Attendees will learn:
- Two ways to use the OPEN Government Data Act to gain access to the internal data you need
- Cutting-edge applications of federal data to drive management decisions, and how the OPEN Government Data Act will enhance these
- Where to engage with like-minded leaders who face similar challenges
Robert Han is a Director at Elder Research overseeing the Washington, D.C. office. Over the past six years at Elder Research, he has led innovative data science teams that have tackled some of the industry’s most challenging data science and analytics problems for both federal government and private sector clients. Some examples include designing and deploying cutting edge machine learning models to identify and prioritize highly suspicious actors (financial market players, medical providers, unemployment insurance recipients, workers compensation beneficiaries) for investigators and analysts; applying various text mining techniques to deploy models (both supervised and unsupervised) and solutions that ingest large amounts of documents from unstructured text; and leveraging network analysis and graph modeling techniques to detect highly suspicious social network behaviors and potential collusion within high profile domains such as the opioid crisis and federal tax fraud.
Hudson Hollister founded HData to help data companies build the relationships, strategies, and understanding they need to deploy their technologies to transform business and governance. Hudson is a securities lawyer, former regulator, former Congressional investigator, and trade association executive. He has invested his career in applying technological innovations to make regulation, government, and law work better. Hudson founded the Data Coalition and served as its first executive director. The Data Coalition is the world’s largest open data trade association. Its nearly fifty member companies work together to advocate for policy reforms to adopt common data structures across government management and compliance reporting. The Data Coalition has successfully passed multiple data reforms in Congress.