Meeting/Event Information
2026-2027 Schedule of EventS
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WEBINARS All Webinars are held from 1:00pm to 3:50pm CT |
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Date |
Topic |
Delivery |
CPE |
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November 18, 2026 |
Ethics |
Virtual |
2 CPE |
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January 13, 2027 |
AI |
Virtual |
2 CPE |
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CHAPTER SPONSORED TRAINING EVENTS |
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Date |
Topic |
Delivery |
CPE |
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December 15, 2026 |
Various Topics |
In-person |
4 CPE |
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February 26, 2027 |
Various Topics, including Past President Recognition |
In-person |
2 CPE |
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March, 2027 |
Various Topics |
In-person |
8 CPE |
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April 22, 2026 |
Various Topics, including Awards Luncheon |
In-person |
4 CPE |
| FREE EVENTS by AGA National | |||
| December 2, 2026 | Topic TBD (Field of Study: Personal Development) | Webinar |
1.5 CPE |
| February 24, 2027 | Topic TBD (Field of Study: Personal Development) | Webinar |
1.5 CPE |
| March 30, 2027 | Technology & Transformation Summit | Virtual |
6 CPE |
| Performance Counts Training (free for government members). Topics Various | Virtual |
4 CPE |
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| Topic TBD (Field of Study: Personal Development) | Webinar |
1.5 CPE |
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Mid-MO AGA: National Webinar Series -- Fraud/Data Analytics May 10, 2023
Mid-MO AGA Chapter presents, on behalf of the National AGA Webinar series...
Graph Modeling and Analytics for Fraud Detection:
Addressing the "Needle in a Haystack" Problem
May 10 | 1:00–2:50 PM ET | 2 CPEs | FOS: AUDG
Speaker: Andrea Fletcher, Executive Director of the Digital Services Centers for Medicare & Medicaid Services
Cost: $30/member, $40/non-member
REGISTRATION IS LIMITED TO FIRST 30 PEOPLE!!
Graph Modeling and Analytics has emerged as an important tool for fraud detection. Fraud detection is a quintessential "needle in a haystack" problem, where there is a very small amount of known fraud and very large amount of unknown cases.
Current fraud detection efforts may be insufficient for the following reasons:
- The growing sophistication of fraudulent activities creates complex, high-dimensional, non-linear patterns.
- Rules based approaches do not scale well and produce high false positive rates.
- Fraudulent behavior is often deeply hidden behind seemingly innocuous behavior.
- If fraud monitoring is based on historical patterns of behavior, it will fail to identify a new fraudulent behavior until it is too late to act.
During this webinar, we will discover and discuss:
- How to use knowledge graphs to capture financial transactions, where a single account is represented as a vertex and a single transaction between two accounts is represented as an edge.
- Utilizing graph analytics to investigate the complex connections between individuals, accounts, companies, and locations, mapping of thousands of relationships (edges) between thousands of entities (nodes).
- A key concept is the "connectedness" between nodes. Connectedness can reveal relationships between nodes including:
- Closeness - identify which nodes are most important to other nodes within a graph
- Connected components - indication of relationships amount groups of nodes
- Community detection - detecting groups that are densely connected internally but loosely connected externally
- Ranking - establishing the trustworthiness of the nodes relative to the trustworthiness of similar nodes
REGISTRATION: The Mid-MO AGA Chapter has already purchased the webinar through National. If you would like to attend, you will need to register through the Mid-MO AGA Chapter website. After registration, you will be provided with an access code to register with National, who will then send you the webinar link and materials.
Tickets
$30.00 AGA Member Ticket
$40.00 Non AGA Member Ticket
