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Understanding whether racial attitudes are malleable is critical for addressing the underlying causes of racial discrimination. We examine whether white males' stated attitudes and behavior toward African Americans change based on the number and type of black peers to whom they are exposed. To overcome selection bias, we exploit data from the U.S. Air Force Academy in which students are randomly assigned to peer groups. Results show significant evidence in favor of the contact hypothesis. White males are significantly affected by both the number (quantity) and aptitude (quality) of the black peers with whom they are exposed. Specifically, white men randomly assigned to higher-aptitude black peers report being more accepting of blacks in general and are more likely to match with a black roommate the following year after reassignment to a new peer group with a different set of black peers. We also find that, ceteris paribus, exposure to more black peers significantly increases the probability of a bi-racial roommate match.

In August 2018 Air University brought together a diverse group of leading subject matter experts to address current challenges in the electromagnetic spectrum. This report summarizes insights, conclusions, and recommendations developed during the inaugural Electromagnetic Defense Task Force (EDTF).

Airforce X Group Paper 2022 Pdf Download In English

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Presentations and papers can be an effective way to hone scientific and technical ideas, introduce your work to aerospace colleagues, and hone your research questions. Forum paper presentations typically consist of a written document and an oral presentation. Presenting at AIAA AVIATION Forum is a great opportunity for gaining valuable feedback from a community of scholars and for increasing your professional stature in aerospace engineering, research and development.

The Air Transportation Systems Technical Committee (ATS-TC) invites technical papers that describe the advancements of air transportation systems and operations, including concepts, technologies, procedures, algorithms, functions, analyses that can help improve safety, efficiency, scalability, sustainability of existing airspace, airline and airport management systems; concept, development, algorithms, testing, operations of new traffic systems for improved access to the NAS for new vehicle operations, such as Unmanned Aerial Systems (UAS), UAS Traffic Management (UTM), Advanced Air Mobility (AAM), extensible Traffic Management System (xTM) and their integration into the National Airspace System (NAS); Applications of new technologies and methods such as data science, machine learning, and artificial intelligence in related topics; modeling and simulation techniques that help advance conventional and non-conventional air transportation systems. For more information, please see Additional Details.

We seek technical papers in all of areas of atmospheric flight vehicle design from subsonic through hypersonic, at all scales from micro air vehicles to very large aircraft. The Aircraft Design TC collaborates with the Transformational Flight, General Aviation TC and the Multi-Disciplinary-Optimization TCs. We seek papers on system level design studies of complete aircraft (both traditional and unconventional). We also seek papers covering the requirements development process as well as discipline-level studies most applicable to the conceptual and preliminary design process including aircraft performance, aerodynamics, propulsion, flight mechanics, structures, manufacturing, overall aircraft sizing as well as subsystem component sizing.

Papers are solicited in the areas of theoretical, experimental, and computational approaches to aerodynamics applications. Relevant areas of interest include, but are not limited to, flight or ground vehicle aerodynamic design, analysis of wing/rotor/vehicle aerodynamic performance, methods for modeling aerodynamic bodies, and novel studies or technological applications related to aerodynamic applications. Specific areas of interest are listed below, but work in related areas is also encouraged. For more information, please click Additional Details. Note that oral-only presentations (no paper publication) will only be accepted for special sessions.

Computational Fluid Dynamics (CFD) seeks papers on a broad range of topics relevant to the development, analysis, and application of CFD algorithms for aerospace applications. Submission of papers presenting new algorithms, analysis and evaluation of algorithms, or applications accompanied by rigorous analysis of discretization errors, are strong encouraged. Papers specific to mesh generation should be submitted to the Meshing, Visualization, and Computational Environments (MVCE), although papers on topics such as solution algorithms on overset meshes, adaptive meshing and error analysis, present areas with substantive overlap with CFD and may be submitted to either CFD or MVCE. Suggested topics for special sessions and panel discussions should be submitted to the technical discipline chairs well in advance of the abstract deadline. Specific session topics of interest are listed below, but work in other related areas are also encouraged.

The CFD2030 Vision report laid out a bold vision for future computational capabilities and their potential impact on aerospace engineering and design, and recommended the establishment of Grand Challenges (GCs) in four areas: Large Eddy Simulation (LES) of powered aircraft configuration across the full flight envelope, off-design turbofan engine transient simulation, Multi-Disciplinary Analysis and Optimization (MDAO) of a highly-flexible advanced aircraft configuration, and probabilistic analysis of a powered space access configuration. In 2021, three GCs were published in the following areas: high-lift aerodynamics (AIAA Paper 2021-0955), full engine simulation (2021-0956), and CFD-in-the-loop for space vehicle design (2021-0957). Under the CFD2030 topic, we are soliciting papers that address current efforts to advance CFD technology, to both highlight the current state-of-the-art and to help identify where technology advancements are needed to make significant progress towards achieving the GCs. For more information, please see Additional Details.

Aviation cybersecurity seeks papers that describe advances and challenges in protecting the safety, security, and continuity of the complex aviation ecosystem. Relevant areas of interest include the security and privacy of, but are not limited to, the following: aircraft, UAS/UAM/AAM, and commercial space vehicles; avionics and control systems of aircraft; flight-critical software and data distribution; crew devices; CNS-ATM technologies; UTM; integrated vehicle health management; aeronautical and space networks; airport and airline networks and information technology; emerging applications of cloud computing, machine learning/artificial intelligence, cyber-physical systems, and Internet-of-Things in the aviation ecosystem.

Papers are solicited on design engineering, design process and design education in the aerospace industry. Design-oriented papers should focus on innovative, novel, or otherwise distinctive designs or concepts resulting in or leading toward products that effectively satisfy requirements or demonstrate design efficiency improvements and robust products in service. Design process-oriented papers should focus on process definition, analysis, architecture, and metrics, as applied to aerospace hardware products from the exploratory design phase through the detailed design phase, manufacturing and service. Papers on advances in model-based design processes and related activities are especially encouraged. Education-oriented papers are solicited that emphasize design in curriculum development, class content, student design/build activities, and student access to space. Design Process and Enabling Digital Systems Technologies papers are solicited that highlight emerging and mature technologies and their applications to enable collaborative design in a global environment and are applicable to commercial and military aerospace industries. Papers that discuss emerging design processes, tools and technologies (e.g. cloud computing, IoT, Digital Thread, Digital Twin, VR/AR, AI/ML, etc.) are also strongly encouraged. e24fc04721