Maryland Data Stewardship in the Age of AI

Maryland is committed to advancing responsible and innovative data use across all state agencies. The Data Stewardship Program ensures that every data officer has the tools, frameworks, and real-world experience needed to transform data into meaningful public impact. Through hands-on labs, expert-led sessions, and Maryland-specific use cases, participants develop the skills to support the Maryland Data Exchange (MDX) and other statewide priorities in a systematic, sustainable, and responsible way. This is a specialized delivery of the Data Stewardship Academy's flagship program, built on the Data Stewards Canvas methodology and drawing on the GovLab / Open Data Policy Lab Tools & Resources and publications.

About the Course

Maryland is committed to advancing responsible and innovative data use across all state agencies. The Data Stewardship Program ensures that every data officer has the tools, frameworks, and real-world experience needed to transform data into meaningful public impact. Through hands-on labs, expert-led sessions, and Maryland-specific use cases, participants develop the skills to support the Maryland Data Exchange (MDX) and other statewide priorities in a systematic, sustainable, and responsible way.

This is a specialized delivery of the Data Stewardship Academy's flagship program, built on the Data Stewards Canvas methodology and drawing on the GovLab / Open Data Policy Lab Tools & Resources and publications. 

This program IS

  • A core professional-development requirement for Maryland’s Statewide Data Program.

  • Two immersive, in-person two-day intensives, two weeks apart, built for busy agency staff.

  • A practical, hands-on curriculum anchored in real Maryland use cases and the AI decisions agencies face now.

This program is NOT

  • A technical bootcamp focused solely on analytics or coding.

  • An abstract policy seminar divorced from agency realities.

  • A one-off workshop without long-term integration into ongoing work.

Why This Matters Now

Maryland is modernizing its data environment to advance key state priorities. New training for data stewardship is especially urgent because:

  • The Maryland Data Exchange (MDX) is scaling and needs stewardship capacity;

  • Agencies are increasingly required to demonstrate open-data compliance;

  • AI adoption is exposing governance gaps and data-quality issues faster than agencies can close them — raising the stakes for AI-ready, fit-for-purpose data; and

  • Governor-priority issues such as ending child poverty, supporting students, and building an equitable, competitive economy demand cross-agency, evidence-based approaches.

 

Stefaan Verhulst headshot

Your Lecturer

Stefaan Verhulst

Course Lead

Dr. Stefaan Verhulst is Co-Founder of the DataTank and The GovLab and the main lecturer of the data stewardship academy. In addition, he is a Research Professor at the Center for Urban Science and Progress at the Tandon School of Engineering of New York University; and a Senior Advisor to the Markle Foundation where he spent more than a decade as Chief of Research. He is also the Editor-in-Chief of the open-access journal Data & Policy (Cambridge University Press); the Research Director of the MacArthur Research Network on Opening Governance; Chair of the Data for Children Collaborative with Unicef; a member of the High-Level Expert Group to the European Commission on Business-to-Government Data Sharing; and of the Expert Group to Eurostat on using Private Sector data for Official Statistics. In addition he is also a member of the UNESCO Information Ethics Working Group; Researcher at the ISI Foundation (Torino, Italy); Senior Researcher at SMIT (Studies in Media, Innovation and Technology) at the Free University of Brussels (VUB) . In 2018 he was recognized as one of the 10 Most Influential Academics in Digital Government globally (by the global policy platform Apolitical). Previously at Oxford University, he was the UNESCO Chairholder in Communications Law and Policy and co-founded and was the Head of the Program in Comparative Media Law and Policy at the Center for Socio-Legal Studies. He was the Socio-Legal Fellow at Wolfson College, and is still an emeritus fellow at Oxford. He also taught for several years at the London School of Economics and was Co-Founder and Co-Director of the International Media and Info-Comms Policy and Law Studies (IMPS) at the University of Glasgow School of Law. He has published widely - including seven books- and his writings and work have appeared in the Harvard Business Review, Stanford Social Innovation Review, Project Syndicate, Wall Street Journal, and The Conversation (among many other outlets). He is asked regularly to present at international conferences including, for instance, TED, Collision, and the UN World Data Forum. Numerous organizations have sought his counsel on a variety of topics including data and AI governance - including the WorldBank; IDB, CAP, USAID, DFID, IDRC, AFP, the European Commission, Council of Europe, the World Economic Forum, UNICEF, OECD, UN-OCHA, UNDP, UNESCO and several other international and national private and public organizations. He is also a Linkedin Learning instructor seeking to democratize the practice of data stewardship globally.

Learning Objectives

  • Define and refine public-purpose problems that require data — including questions best answered with, or made newly answerable by, AI.

  • Identify, describe, and assess data supply realistically, including constraints, readiness, and AI-readiness (the “missing R” in FAIR).

  • Develop value propositions that align agency needs with statewide priorities, and a business case for others to grant data access.

  • Prototype operational and governance models for data collaboration across the spectrum of openness.

  • Conduct risk assessments and due diligence across the data lifecycle, including AI-specific risks.

  • Embed decision intelligence into agency workflows and keep humans meaningfully in the loop.

  • Measure impact from data initiatives and begin a sustainable data-reuse strategy.

Who Should Apply?

This course is for Maryland Agency Data Officers (ADOs), data stewards embedded in departments, senior analysts and program leads supporting data reuse, and any staff involved in MDX, open data, or cross-agency initiatives. The Maryland Department of Information Technology publicizes the course and manages enrollment.

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