Overview
The Emerging Techniques Forum (ETF) is driven to improve analysis and understanding throughout the defense community by seeking out novel and leading-edge approaches, methods, and techniques - wherever they are conceived. By sharing and incorporating the latest (and in-progress) developments across government, academia, private industry, and enthusiasts, the ETF aims to support and maintain relevant, timely, and early comprehension of lessons learned that may grow to have an outsized impact on the community at large.
The ETF seeks advancements in tools and techniques that enable decisive action in complex environments. Our tracks explore how information aggregation, processing, and computation can improve predictions of future needs and risk assessments of complex investment and operational strategies. Many of these efforts have seen rapid maturation and evolutionary leaps in analytic capability borne from recent global crises.
Call For Abstracts
The ETF committee is now seeking abstracts for technical presentations. Abstracts should fall under one of the main topics below or a topic of your choosing. All abstracts must be submitted as unclassified and 1,500 or less characters without images or videos. There will be a track for classified presentations. If you are submitting an abstract for the classified session, indicate the classification level at the time of submission. To submit an abstract, visit the Presenter Center or select the button above. Chairs will start reviewing abstracts 31 August 2022.
Topic Areas
- Optimization of IT Infrastructure & Analytics Platforms
- Emerging AI/ML
- Autonomy & Robotics; Human - Machine Teaming
- Anomaly Detection; Dynamic Behavior Prediction
- Advances in Information Operations
- Infrastructure Protection & Resilience
- Distributed Information Sensing, Data Fusion & Network Resiliency
- Image, Video & Spatiotemporal Big Data Processing
- Augmented Reality; Training; Decision Making
- Organizational, Institutional, & Policy Approaches to Augment Analyses
- Methodological Advances in Statistics, Mathematics & Computer Science
- Social Media Algorithms
- Visco Prize
- *Tutorial (Transformers, Analysis in R)
Registration
The "Invoice Me" option can only be used for the registration fee. This option won't appear if you have social tickets, CEU courses or tutorials in your cart. If you need assistance registering please contact Ms. Sarah Madonia, sarah.madonia@mors.org.
| Employer
|
Early
(3/01-8/04)
|
Regular
(8/05-11/13)
|
Late
(11/14-Onsite)
|
| MORS Government Sponsor*
|
Member
|
$450
|
$500
|
$550
|
| MORS Government Sponsor*
|
Non-Member
|
$550
|
$600
|
$650
|
| US Federal Government
|
Member
|
$500
|
$550
|
$600
|
| US Federal Government
|
Non-Member
|
$600
|
$650
|
$700
|
| IDA
|
Member
|
$523
|
$573
|
$623
|
| IDA
|
Non-Member
|
$618
|
$668
|
$718
|
| All Others
|
Member
|
$550
|
$600
|
$650
|
| All Others
|
Non-Member
|
$650
|
$700
|
$750
|
*Government Sponsor organizations include Center for Army Analysis, HQDA/DCS Program G-8; Marine Corps Combat Development and Integration; Naval Operations, N81; SAF/SA, Studies and Analysis; OSD, A&S; and DHS S&T/OSE/ORA
FVEY: US, Australia, New Zealand, Canada and the UK
Visco Prize
Eugene P. Visco
1927-2019
MORS Eugene P. Visco Prize for International Collaboration in Operations Research
Established in 2019, this prize recognizes excellence in research quality, contributions, and presentation. Early career and Junior Analysts conducting impactful, technically rigorous, and multi-disciplinary research are highly encouraged to apply! Visit the Visco Prize webpage for more information.