Dustin Haisler
President | e.Republic
Austin, Texas Area, TX, UNITED STATES
President of e.Republic | GovTech GTM & PE-Backed Executive | GovTech M&A Advisor | Former Government CIO/ACM | TEDx Speaker (2x)
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Biography
Dustin Haisler is the President of e.Republic - the nation's leading state and local government data, media, and events company - and the parent company of Government Technology, Governing, and the Center for Digital Government. He is also active in the academic and research community, serving as co-lead of the Center for Public Sector AI, an Eisenhower Fellow (2019 Zhi-Xing Program), board member of the Good Governance Worldwide Academic Journal, and Program Faculty for the Certified Public Management Program (CPM) at Texas State University.
As the former Chief Information Officer (CIO) and Assistant City Manager for the City of Manor, Texas, Dustin quickly built a reputation as an early innovator in civic tech. He pioneered government use of commercial technologies not previously used in the public sector, including open innovation, Quick-Response (QR) barcodes, crowdsourcing, and gamification. Recognized as one of the nation’s Top 25 Doers, Dreamers, and Drivers for government technology, he was also named a Business Transformation 150 Leader by Constellation Research. His work has been featured in Wired, Fast Company, the Wall Street Journal, Inc. Magazine, the Today Show on NBC, The Economist, CNN, Fortune, and Citizenville by California Governor Gavin Newsom. Most recently, Dustin has led initiatives to help public sector agencies safely adopt and integrate artificial intelligence technologies through public speaking, research, training, expert testimonies, and the development of AI tools.
Dustin graduated Magna Cum Laude from LeTourneau University with a Bachelor of Business Administration and has conducted research with universities around the globe on incubating next-generation technologies in government, including the Persuasive Technology Lab at Stanford University and the University of Trento, Italy. He is a frequent speaker and expert advisor who collaborates with Fortune 500 companies, investors, government agencies, academia, startups, and non-profits worldwide on the global govtech market, public sector technology trends, and artificial intelligence development.
Industry Expertise (3)
Computer Software
Government Administration
Media - Online
Areas of Expertise (13)
Predictive User Experiences
Technology Trends
Business Process Reengineering
Crowdsourcing
Innovation Management
Local Government
Emerging Technology
Innovation
Gamification
Citizen Engagement
Civic Technology
Open Innovation
SaaS
Accomplishments (2)
25 Doers, Dreamers & Drivers of Technology (professional)
2009-05-01
Recognized as one the 25 Doers, Dreamers & Drivers of Technology in the country by Government Technology magazine.
Business Transformation (BT) 150 (professional)
2024-05-26
Recognized as a Business Transformation 150 executive from Constellation Research.
Education (1)
LeTourneau University: BBA, Business Administration 2009
Magna Cum Laude
Affiliations (1)
- Manor Education Foundation
Links (3)
Languages (1)
- English
Event Appearances (4)
The State of Artificial Intelligence
AGRIP Nashville, TN
2024-03-05
Developing Institution Capacities in Digital Transformation
United Nations DESA Event Virtual
2024-12-05
State of GovTech - Market & Technology Overview
Beyond the Beltway Washington, D.C.
2024-02-27
State of AI in Government
Texas Digital Government Summit Austin, Texas
2024-05-22
Sample Talks (1)
TEDxLivermore
Speech regarding how to disrupt education at TEDxLivermore- https://www.youtube.com/watch?v=iZnEjy5qJCo
Style
Availability
- Keynote
- Moderator
- Panelist
- Workshop Leader
- Host/MC
- Corporate Training
Fees
Patents (1)
Challenge Ranking Based on User Reputation in Social Network and ECommerce Ratings
US20140222524A1
2015-09-11
A network-based rating system provides a mechanism whereby users can submit and rate challenges in a challenge processing step and submit and rank ideas in an idea processing step that correspond to the challenges in the challenge processing step. The highest rated challenge is determined in the challenge processing step and is then submitted to users in an idea processing step. Alternatively, challenges submitted by users in the challenge processing step are submitted to users for ideas in the idea processing step on an ongoing basis. In these alternative embodiments, the challenge rated in the idea processing step is a challenge other than the highest rated challenge determined in the challenge processing step. In another embodiment, the users rating challenges are the same users rating ideas in the idea processing step and in other embodiments the users are not the same as those rating ideas in the idea processing step.
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