1. Overview Human, social, cultural, and behavioral (HSCB) modeling with forecasting and mitigation-option capabilities improves operators’ ability to understand and shape the operational environment. Sociocultural data and analysis assist in the identification of crises further “left of bang,” allowing consideration of more mitigation options and more time to assess possible ramifications (Fly...

This paper describes the experiences of a sociologist as a mitigation expert during the "typical" first degree murder case, from indictment through the penalty phase of the trial. The author, who has worked in death penalty cases (capital murder) since 1988, has served as a mitigation expert in over 40 such cases. Topics covered include: working with a death penalty mitigation team and what to ...

Among various natural disasters floods make the largest impact in terms of number of casualties, people affected and property lost. Flood data during the past 30 years show that flood events that cause significant impacts have increased at a steady rate. Available data suggest that this increase could be attributed to increasing population and exposure, increasing property values located in vul...

Under sponsorship of the Defense Advanced Research Projects Agency’s (DARPA) Fault Tolerant Networks (FTN) program, The Johns Hopkins University Applied Physics Laboratory (JHU/APL) has been conducting the Distributed Denial of Service Defense Attack Tradeoff Analysis (DDOS-DATA). DDOS-DATA’s goal is to analyze Distributed Denial of Service (DDOS) attacks and mitigation technologies to develop ...

Based on earlier work on risk quantification, a new risk mitigation methodology is developed for new product and process design in concurrent engineering projects. First the most prominent risks in the product life cycle are identified and quantified. Then five computational algorithms are developed and used to find feasible solutions for mitigating these risks: Least-Cost-First, Highest-Risk-F...

Abstract Mathematical programming is used to examine the economic potential of greenhouse gas mitigation strategies in U.S. agriculture and forestry. Mitigation practices are entered into a spatially differentiated sector model and are jointly assessed with conventional agricultural production. Competition among practices is examined under a wide range of hypothetical carbon prices. Simulation ...

The effectiveness of risk mitigation may be compromised by informal trade, including illegal activities, parallel markets and extra-legal activities. While no regulatory system is 100% effective in eliminating the risk of disease transmission through animal and animal product trade, extreme risk aversion in formal import health regulations may increase informal trade, with the unintended conseq...

In this deliverable, smart antenna based interference mitigation methods for WINNER are presented. These methods include beamforming techniques, transmit diversity techniques, and receive diversity and spatial interference suppression techniques. The methods are investigated in terms of what requirements they put on the system, and the performance they can achieve are assessed by means of compu...

The use of space-time processing methods in GNSS interference mitigation is of great interest due to their effectiveness in both narrowband and wideband interference suppression. Techniques to reduce the distortion and bias on the cross correlation function due to space-time filtering are also very important especially for high precision GNSS applications. In this paper, different types of spac...

Emissions mitigation policies affect prices, including prices for fossil fuels and agricultural products. Consumer prices for coal and natural gas are expected to rise when climate policy is implemented, while oil prices may be reduced or remain the same in comparison to a no policy scenario. Impacts on agricultural prices are more controversial as reduced negative productivity impacts on yield...