Data Driven Government
September 25, 2019 – Washington, D.C.

The premier analytics and AI conference for government

To support the President’s Management Agenda to use data as a strategic asset, Data Driven Government aims to help agency leaders more effectively accomplish their mission, increase efficiency, and improve evidence-based policymaking.

 

Data Driven Government is focused on helping government executives to share and discuss emerging trends and best practices of how government agencies are currently using data analytics to enhance mission outcomes. A practically-focused, vendor-neutral conference, Data Driven Government advances the deployment of analytics and data science within Federal, State, and Local government to reduce fraud, waste, and abuse, automate manual processes, and drive smarter decisions by extracting actionable insights from the vast quantities of data within government agencies.

Data Driven Government — the facts:

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Participants

First Speakers Confirmed

Virginia Foxx
Congresswoman
Virginia Foxx

Congresswoman Virginia Foxx represents North Carolina’s 5th District in the United States House of Representatives. She is Republican Leader of the House Committee on Education and Labor and also serves on the House Committee on Oversight and Reform. From 2013 to 2016, she served as Secretary of the House Republican Conference. Before serving on Capitol Hill, Foxx spent 10 years in the North Carolina State Senate.  She began her career in the field of higher education, which included serving as a sociology instructor at Appalachian State University and holding several administrative positions at ASU, including Assistant Dean of the General College.  She also served as President of Mayland Community College. Foxx is a graduate of the University of North Carolina at Chapel Hill, where she earned a bachelor’s degree in English and a Master of Arts in College Teaching in sociology. She also holds a Doctor of Education degree from the University of North Carolina at Greensboro.

Elise Critoph
Senior Debt Management Analyst, Collections and Verification Research Section
Elise Critoph

Elise Critoph, Senior Debt Management Analyst, Collections and Verification Research Section, CRA

Elise Critoph is a subject matter expert in behavioural insights. She focuses on the practical application of nudges, as well as the theoretical foundations for applying behavioural economics’ principles to tax compliance. She provides support on the design of nudges and analysis of nudge experiments and presents at various committees within the CRA on the subject of behavioural insights.

Elise is a PhD candidate in Economics at the University of Ottawa in Canada and holds a Master’s degree and a Bachelor’s degree in Economics from Concordia University in Montreal.

Hudson Hollister
HData
Hudson Hollister

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.

Hudson also founded the Data Foundation, a research nonprofit which works to define an open and standardized future for our society’s data. The Data Foundation has published market-leading research in the potential of technology to deliver better government management, create public transparency, and automate compliance tasks. The Foundation also works with government agencies to educate civil servants on how to use government data to solve problems. The Foundation hosts Data Transparency, the largest annual open data conference in the United States.

Hudson has written legislation, testified before Congress, and served as a board member and advisor to diverse startup companies and nonprofit organizations. He received the Federal 100 Award in 2015 and 2019.

Jason Miller
Executive Editor
Jason Miller

Jason Miller is an executive editor and reporter with Federal News Network—an all-news multi-media organization focused specifically on covering the federal government and its contractors.

As executive editor, Jason directs the news coverage of the station and works with reporters to ensure a broad range of coverage of technology, procurement, finance and human resources.

As a reporter, Jason focuses mainly on technology and procurement issues, including cybersecurity, cloud, mobile computing and acquisition policies and programs. Jason hosts the weekly Ask the CIO program where he interviews large and small agency CIOs about their priorities and challenges.

Before coming to FederalNewsRadio in March 2008, he worked at Government Computer News for six years and Federal Computer Week for one year. He covered governmentwide technology issues that focused on people, policy and programs. These include the Bush administration’s e-government initiatives, federal enterprise architecture, cybersecurity and HSPD-12.

From 1998 to 2001, Jason covered small business and minority-owned business contracting issues as the editor of Set-Aside Alert newsletter.

Jason has won several awards during his career, including the SBA’s regional Small Business Journalist of the Year in 2000, and a first place in story telling by the Virginia Press Association in 1997.

Jason lives in Arlington, Va., with his wife, Lita, and two children, Talia, 18, and Elias, 17.

Larry Koskinen
Chief Risk Officer
Larry Koskinen

Larry Koskinen has served the public interest for more than forty years through executive positions in the federal government, commercial professional services firms, and non-profit organizations, both within the United States and abroad.  He is a member of the Federal Senior Executive Service, and is currently serving as Chief Risk Officer at the United States Department of Housing and Urban Development.

He recently led the Business Transformation Team for New Core, HUD’s administrative shared services partnership with the Treasury Administrative Resource Center, and, at the invitation of the Office of Management and Budget, led the project team that drafted the government-wide playbook for federal shared services adoption.  Prior to joining HUD, he served as an executive in the federal Inspector General community, managing analytics, finance, human capital, information technology, strategic planning and support operations at the Treasury Inspector General for Tax Administration and the U.S. Postal Service Office of Inspector General.  He has been involved in multiple federal-level government reform efforts, notably the Reagan-era Grace Commission, and the Clinton-era National Performance Review.

Koskinen was a Vice President at the non-profit Council for Excellence in Government, and a Vice President at the international development consultancy Development Alternatives, Inc.  Prior to that he was Director of Administration and Finance at the non-profit Regional Environmental Center for Central and Eastern Europe in Budapest.  He was Management Officer for Peace Corps International Operations and also Chief Business Architect.  He served as a Peace Corps Volunteer in the Philippines.

He holds a Bachelor of Science in photography from the Rochester Institute of Technology, and a Juris Doctorate from American University’s Washington College of Law.

Lori Ruderman
BUYSMARTER Initiative Lead
Lori Ruderman

Lori Ruderman serves as the initiative lead for U.S. Department of Health and Human Services (HHS) BuySmarter, an innovative new HHS-wide program that uses technology to streamline and modernize acquisitions across HHS to achieve significant economies of scale and gain Department-wide efficiencies.  

Ruderman has over 30 years’ experience in diverse range of leadership and management roles.  She spent more than 20 years of her career serving in the healthcare arena.  During the course of her career to-date, Ruderman has served as the director of a not-for-profit health program and has served as a hospital administrator for two different healthcare systems before joining the federal government in 2008. Since entering public service, she has spent the past ten years in the federal shared services environment with the majority of that time focused on federal acquisitions.

Peter Gloade
Senior Modeller, Applied Predictive Analytics Section
Peter Gloade

Peter Gloade is a graduate of the University of Western Ontario, with a Bachelor of Arts in Psychology. He worked in the private industry for 3 years before joining the CRA as a Collections Officer for 12 years. In 2005, he joined a newly minted predictive analytics’ team at Headquarters, set up to improve CRA’s programs, tax recovery and compliance. Since then, he has designed and developed 23 predictive models to improve the outcomes of multiple programs. Five of these models were successfully deployed for voluntary resolution, low risk accounts, and future payment arrangements. He also designed a model that predicts eventual debtors in the non-filer population.

Snezana Vucic
Manager, Collections and Verification Research Section
Snezana Vucic

Snezana Vucic has more than 17 years’ experience in applied research at the CRA. She has gained extensive experience in applying various analytical techniques including forecasting, experimental design, and modelling to directly or indirectly support evidence-based decision making within various CRA programs. Since January 2011, she has successfully managed one of the most engaged CRA research teams. She has led more than 60 research initiatives, 33 of which were published. A select few have been shared at intergovernmental meetings, as well as at Canadian and international tax conferences.

Snezana holds a Master’s degree in Economics and a Bachelor of Arts in Economics, with a Minor in Business Administration, from the University of Sherbrooke, Québec, Canada.

2019 Workshops

you can attend for intensive learning

Sep 23, 2019
** NEW! ** Fraud Analytics & Anomaly Detection
Mike Thurber
Hosts:
Mike Thurber
Date:
Sep 23, 2019
Time:
8:30 am - 4:30 pm
Price:
Government Employee: $600
Private Industry / Contractors: $1,200 - prices increase after June 28!
** NEW! ** Fraud Analytics & Anomaly Detection

Intended Audience: Fraud analysts and managers interested in learning the latest array of data science and machine learning techniques useful for reducing and eliminating fraud, waste, and abuse.

 Knowledge Level: Attendees should have some basic experience with data-driven modeling.

Workshop Description

Dramatically reducing fraud and other abuse is a challenging task requiring a comprehensive and flexible analytics solution. Wherever your organization is along the wide spectrum of fraud analytics capabilities — from basic rules and reporting to complex network graph analysis – this workshop will show you how to build out all the components of a holistic and robust fraud analytics platform. We will review critical technical details as well as problems to watch out for based on lessons learned over years of consulting on real-world fraud cases.

This one-day session teaches best practices for fraud analytics constrained by the realities of incomplete data and unrecognized or emerging fraud patterns. Existing fraud models have proven value, but nagging concerns remain about “unknown unknowns”. A new view of the problem is required.

  • You should attend this workshop to learn:
  • What anti-fraud techniques work best
  • Graph (network) features that highlight fraud
  • How to extract information hidden in unlabeled data
  • A new way to powerfully combine supervised and unsupervised models

Attendees will learn how to:

  • Use new unsupervised learning techniques to identify previously unseen cases of fraud
  • Recognize and remove common biases
    (such as stemming from rare known fraud cases and from selection effects)
  • Prioritize anomaly types by their fraud likelihood
  • Incorporate multiple techniques and processes into an effective anti-fraud platform
Sep 24, 2019
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques
John Elder Ph.D.
Hosts:
John Elder Ph.D.
Date:
Sep 24, 2019
Time:
8:30 am - 4:30 pm
Price:
Government Employee: $600
Private Industry / Contractors: $1,200 - prices increase after June 28!
The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques

Intended Audience: Interested in the fundamentals of modern machine learning techniques.

Program Level: Intermediate
For this introductory-level workshop, it is helpful for attendees to already be familiar with the basics of probability and coding.

Recommend Field of Study:

  • Computer Science
  • Analytics
  • Statistics
  • Mathematics
  • Finance and Marketing

Instructional Method: Group – Live
CPE Credit’s received for completion:

  • 1.5 CPE Credits for Management Adv Service
  • 1.5 Statistics
  • 1.5 Specialized Knowledge and Apps
  • 1.5 Business mgmt. and org

 

Workshop Description

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).

Predictive analytics has proven capable of generating enormous returns across industries – but, with so many machine learning modeling methods, there are some tough questions that need answering:

  • How do you pick the right one to deliver the greatest impact for your business, as applied over your data?
  • What are the best practices along the way?
  • How do you make it sure it works on new data?

In this workshop, renowned practitioner and hugely popular instructor Dr. John Elder will describe the key inner workings of leading machine learning algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to select the method and tool best suited to each predictive analytics project.

Attendees will leave with an understanding of the most popular algorithms, including classical regression, decision trees, nearest neighbors, and neural networks, as well as breakthrough ensemble methods such as bagging, boosting, and random forests.

This workshop will also cover useful ways to visualize, select, reduce, and engineer features – such as principal components and projection pursuit. Most importantly, Dr. Elder reveals how the essential resampling techniques of cross-validation and bootstrapping make your models robust and reliable.

Throughout the workshop day, Dr. Elder will share his (often humorous) stories from real-world applications, highlighting mistakes to avoid.

If you’d like to become a practitioner of predictive analytics – or if you already are and would like to hone your knowledge across methods and best practices – this workshop is for you.

What you will learn:

  • The tremendous value of learning from data
  • How to create valuable predictive models with machine learning for your business
  • Best Practices, with real-world stories of what happens when things go wrong

Prerequisites:
The workshop is filled with real-world stories and explanations of methods that are visual and analogy-based, rather than mathematical. Each section is designed to make clear the gist of its concept to a complete novice, and to conclude with intriguing ideas for advanced researchers. Experience has shown that attendees who get the very most out of the course:

  • Have some experience with programming, or algorithmic approaches to problem-solving
  • Have taken an introductory course in probability or statistics … but most importantly
  • Have a problem to solve that inspires and anchors their learning as techniques are introduced
Sep 26, 2019
Data Science for Managers
Carl Hoover Ph.D.
Hosts:
Carl Hoover Ph.D.
Date:
Sep 26, 2019
Time:
9:00 am - 4:30 pm
Price:
Government Employee: $600
Private Industry / Contractors: $1,200 - prices increase after June 28!
Data Science for Managers

Intended Audience: Business managers, executives and leaders interested in data science.

Program Level: Beginner to Intermediate

Recommend Field of Study:

  • Computer Science
  • Analytics
  • Statistics
  • Mathematics
  • Finance and Marketing

Instructional Method: Group – Live
CPE Credit’s received for completion:

  • 1.5 CPE Credits for Management Adv Service
  • 1.5 Statistics
  • 1.5 Specialized Knowledge and Apps
  • 1.5 Business mgmt. and org

 

Workshop Description

This 1-day workshop is an introduction to data science for executives and managers of data science programs. It provides a high-level overview of modern data science concepts, tools, and techniques from a management perspective. All stages of the data science lifecycle will be discussed in the context of agile management methodologies using real-world case studies. Managers will learn how to identify skilled data scientists and build data science teams that use sound scientific methods to meet their organization’s objectives. Leaders will learn to ask the right questions, solve the right problems, keep data science projects on track, ensure their solutions are deployed and avoid common pitfalls along the way. Both technical and non-technical participants will benefit from this workshop and be equipped with the knowledge necessary to lead effective data science programs in their organizations.

What you will learn:

  • Basic concepts of data science and advanced analytics
  • Agile planning within a typical data science project lifecycle
  • Project scoping by defining appropriate data science tasks and objectives
  • Best and worst data science practices

Prerequisites:
There are no prerequisites for this workshop; however, it is best suited for participates who:

  • Have executive or mid-level management experience
  • Are currently managing or planning to manage data science projects

Learning objectives:
Participants will learn how to:

  • Understand fundamental concepts of data science
  • Plan and manage the data science project lifecycle using agile techniques
  • Define the appropriate data science problem to solve
  • Build effective data science teams within an organization
  • Avoid common pitfalls in data science management

The Venue

Capital Hilton

Address
16th & K Street, NW
Washington, DC 20036

 

Website
Visit the Capital Hilton Site

 

Phone
+1-202-393-1000

Capital Hilton, 16th Street Northwest, Washington, D.C., District of Columbia, USA

FAQ

How can we help?

  • When and where does the conference take place?

    The conference and expo take place on Wednesday September 25, 2019 at the Capital Hilton, on the corner of 16th & K Street, NW
    Washington, DC. In addition, there are two days of workshops taking place on the Tuesday and Thursday either side of the conference, also at the Capital Hilton.

  • Where can I buy my ticket?

    Registration details for the conference are here.

  • What topics does the conference cover?

    All topics around emerging trends and best practices of how government agencies (at both Federal, State and local level) are currently using data analytics to enhance mission outcomes. For example:

     

    • How are public sector agencies using analytics & AI? Where are they headed?
    • How can we make analytics mainstream? How can we build a culture of innovation?
    • How can advanced analytics convert insights from data into successful mission strategies for the public sector?
    • How do you build cohesive data strategies that focus on mission value?
    • What are the next-generation analytics & AI technologies relevant to the public sector?
    • How do you build high-performing analytics teams? How do you attract and develop the right talent?
  • Where can I get other questions answered?

    Questions about registration? See here or email: regsupport@risingmedia.com

    Questions about sponsoring? See here or email: pgillis@risingmedia.com

    Questions about speaking? See here or email: rglavina@risingmedia.com

    Questions about partnering to help promote Data Driven Government? Email: marketing@risingmedia.com

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