Technical Performance Measures Research Articles

Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review.

In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders, particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant challenges. This review explores Artificial Intelligence (AI) and Machine Learning (ML) in neuropsychological assessment for the early detection and personalized treatment of MCI and AD. The review includes 37 articles that demonstrate that AI could be an useful instrument for optimizing diagnostic procedures, predicting cognitive decline, and outperforming traditional tests. Three main categories of applications are identified: (1) combining neuropsychological assessment with clinical data, (2) optimizing existing test batteries using ML techniques, and (3) employing virtual reality and games to overcome the limitations of traditional tests. Despite advancements, the review highlights a gap in developing tools that simplify the clinician's workflow and underscores the need for explainable AI in healthcare decision making. Future studies should bridge the gap between technical performance measures and practical clinical utility to yield accurate results and facilitate clinicians' roles. The successful integration of AI/ML in predicting dementia onset could reduce global healthcare costs and benefit aging societies.

Use of catch and effort data to monitor trends in economic performance in fisheries

Abstract In many low-valued fisheries, the quantity and types of data that might be available to support fisheries management are often limited. Generally, information on the economic performance of the fishery is low in priority in these fisheries. Basic catch and effort information, however, may contain implicit information about economic performance of the vessels. From these data, technical efficiency scores and measures of capacity utilization can be derived. The technical efficiency score can provide a proxy measure of the distribution of economic performance, while changes in capacity utilization theoretically reflect changes in the economic conditions in the fishery. Given this, changes in these measures over time should also reflect changes in economic outcomes and performance. To test this, we use data from a data-rich fishery, including catch and effort information as well as detailed economic information (i.e. vessel-level profitability). Key technical performance measures are estimated using data envelopment analysis and compared with the economic performance measures. We show that these technical performance measures can provide useful indicators of changes in economic performance when economic information is not available.

Influence of Physical Fitness, Anthropometric Profile, and Biological Maturation on Technical Performance and Enjoyment of Untrained Children Who Participate in Continuous and Fractional Small-Sided Games.

A crossover-design study in which 12 children participated in two regimens of SSG (continuous and fractional). At the beginning of the study, all children were evaluated using physical fitness tests (horizontal jump test, vertical jump, cardiorespiratory fitness, and agility), anthropometric profile (weight, height, Body Mass Index (BMI), and waist circumference (WC)), and biological maturation (peak years of growth velocity). All sessions were recorded and analyzed with the Performance Assessment in Team Sports instrument, and at the end of each game each child was asked to answer a scale of enjoyment for physical activity. The results of the paired samples t-test showed no significant differences in the measures of technical performance and perceived enjoyment for the continuous and fractional regimens of SSGs (p > 0.05). The correlation results showed that technical performance in the continuous and fractional regimes was related to agility, horizontal jump, and height, while biological maturation was only related to technical performance in the fractional regimen of SSGs. Perceived enjoyment showed a negative relationship with weight, height, BMI, and WC. The fractional and continuous regimens of SSGs implemented in this study induced similar technical demands and enjoyment. Furthermore, the results suggest that physical fitness, anthropometric profile, and biological maturation may influence the technical performance and enjoyment of SSGs.

Dynamic Technical Performance Measurement in Rural Tourism

With the characteristic of low carbon emission and sustainability, the development of rural tourism becomes one of the key parts to achieve mutual carbon target in Chinese tourism industry. However, previous research on China's rural tourism has largely ignored the quantitative examination of rural tourism initiatives. This paper aims to quantify and measure the efficiency as well as efficiency variation of rural tourism in 25 provinces of China using data envelopment analysis (DEA) and Malmquist productivity index (MPI). The results reveal that the overall efficiency of rural tourism in China is still low, and there exists an obvious regional difference in rural tourism in China. The result not only identify the leading and following regions in Chinese rural tourism, but also reveal how their position in the group changes over time. This is valuable information for managers having to take strategic and tactical decisions to better achieve the low-carbon and sustainable development of China's tourism industry.

Communication Demands and Performance Metrics for Next Generation Aerial Networks

Technological progress and economic interest are paving the way toward a more densified airspace. Seen as a technical system composed of air vehicles, traffic control, and service providers, the airspace is expected to evolve significantly toward a more digitalized and autonomous version of its current self. In such a future system, connectivity plays a key role, and needs to be dependable and secure. Regulation bodies have already defined a set of requirements, called required communication performance (RCP), against which communication links must be benchmarked. However, these are not well aligned with typically used communication performance metrics. In this article, we give an overview of technical demands originating from novel use cases and requirements put forward by airspace regulation bodies. We discuss the mismatch toward technical performance measures and propose a way to formally transfer RCP into more “communication-friendly” demands. We show with measurements that current technology is not ready to support the high demands of the aerospace industry yet and highlight technological ways forward that could close this gap.

Impact of Microcycle Structures on Physical and Technical Outcomes During Professional Rugby League Training and Matches

To assess the impact of microcycle (MC) structures on physical and technical performances in rugby league training and matches. Thirty-four professional rugby league players were monitored during all training sessions and matches across a single season wherein 2 different competition-phase MC structures were implemented. The first MC structure involved the first session on match day (MD) + 2 and the main stimulus delivered MD - 3, and the second structure delayed all sessions by 1day (first session on MD + 3 and main session MD - 2; MC structure in the second half of the season). Physical output was quantified via relative total speed (in meters per minute), high-speed running (per minute; ≥4.0m·s-1), and very-high-speed running (per minute; ≥5.5m·s-1), measured using a global positioning system (10Hz) in addition to accelerometer (100Hz) metrics (PlayerLoad per minute and PlayerLoadslow per minute]) during training and matches. Technical performance (number of runs, meters gained, tackles made and missed) was recorded during matches. Generalized linear mixed models and equivalence tests were used to identify the impact of MC structure on physical and technical output. Nonequivalent increases in meters per minute, high-speed running per minute, and PlayerLoad per minute were observed for the first training stimulus in MC structure in the second half of the season with no practical difference in midcycle sessions observed. The MC structure in the second half of the season structure resulted in increased high-speed running per minute and decreased PlayerLoadslow per minute during MD with no differences observed in technical performance. Delaying the first training stimulus of the MC allowed for greater training load accumulation without negative consequences in selected match running and technical performance measures. This increased MC load may support the maintenance of physical capacities across the in-season.

First Clinical Photon-counting Detector CT System: Technical Evaluation.

Background The first clinical CT system to use photon-counting detector (PCD) technology has become available for patient care. Purpose To assess the technical performance of the PCD CT system with use of phantoms and representative participant examinations. Materials and Methods Institutional review board approval and written informed consent from four participants were obtained. Technical performance of a dual-source PCD CT system was measured for standard and high-spatial-resolution (HR) collimations. Noise power spectrum, modulation transfer function, section sensitivity profile, iodine CT number accuracy in virtual monoenergetic images (VMIs), and iodine concentration accuracy were measured. Four participants were enrolled (between May 2021 and August 2021) in this prospective study and scanned using similar or lower radiation doses as their respective clinical examinations performed on the same day using energy-integrating detector (EID) CT. Image quality and findings from the participants' PCD CT and EID CT examinations were compared. Results All standard technical performance measures met accreditation and regulatory requirements. Relative to filtered back-projection reconstructions, images from iterative reconstruction had lower noise magnitude but preserved noise power spectrum shape and peak frequency. Maximum in-plane spatial resolutions of 125 and 208 µm were measured for HR and standard PCD CT scans, respectively. Minimum values for section sensitivity profile full width at half maximum measurements were 0.34 mm (0.2-mm nominal section thickness) and 0.64 mm (0.4-mm nominal section thickness) for HR and standard PCD CT scans, respectively. In a 120-kV standard PCD CT scan of a 40-cm phantom, VMI iodine CT numbers had a mean percentage error of 5.7%, and iodine concentration had root mean squared error of 0.5 mg/cm3, similar to previously reported values for EID CT. VMIs, iodine maps, and virtual noncontrast images were created for a coronary CT angiogram acquired with 66-msec temporal resolution. Participant PCD CT images showed up to 47% lower noise and/or improved spatial resolution compared with EID CT. Conclusion Technical performance of clinical photon-counting detector (PCD) CT is improved relative to that of a current state-of-the-art CT system. The dual-source PCD geometry facilitated 66-msec temporal resolution multienergy cardiac imaging. Study participant images illustrated the effect of the improved technical performance. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Willemink and Grist in this issue.

The i-Walk Lightweight Assistive Rollator: First Evaluation Study.

Robots can play a significant role as assistive devices for people with movement impairment and mild cognitive deficit. In this paper we present an overview of the lightweight i-Walk intelligent robotic rollator, which offers cognitive and mobility assistance to the elderly and to people with light to moderate mobility impairment. The utility, usability, safety and technical performance of the device is investigated through a clinical study, which took place at a rehabilitation center in Greece involving real patients with mild to moderate cognitive and mobility impairment. This first evaluation study comprised a set of scenarios in a number of pre-defined use cases, including physical rehabilitation exercises, as well as mobility and ambulation involved in typical daily living activities of the patients. The design and implementation of this study is discussed in detail, along with the obtained results, which include both an objective and a subjective evaluation of the system operation, based on a set of technical performance measures and a validated questionnaire for the analysis of qualitative data, respectively. The study shows that the technical modules performed satisfactory under real conditions, and that the users generally hold very positive views of the platform, considering it safe and reliable.

Tourism Supply Efficiency: An Analysis of Countries in the Asia-Pacific Region

The objective of this research is to analyze the factors affecting the tourism supply and its efficiency of the tourism supply for countries in the Asia-Pacific region. The method uses the stochastic frontier with Maximum Likelihood Estimation (MLE) analyzed by Frontier software. 4.1. The data were collected from panel data from 2010 - 2019 for 23 countries. The results of the study revealed that 1) Tourism investment from the private sector and timing factors positively affect the tourism supply of countries in the Asia-Pacific region, while the tourism labor value factor has a negative effect on the tourism supply of countries in the region 2) For the technical performance measurement of tourism supply in each sub-region in the Asia-Pacific region, the average is between 0.387 and 0.657. East Asia shows the highest technical efficiency in China, Hong Kong, Japan, Macau and Mongolia while South Asia has the lowest technical efficiency in Bangladesh, India, Nepal, Pakistan, Sri Lanka and the Maldives, respectively.

Recovery during and after a simulated multi-day tennis tournament: Combining active recovery, stretching, cold-water immersion, and massage interventions

ABSTRACT The aim of this study was to investigate the effects of a mixed-method recovery intervention (MMR) consisting of active recovery, stretching, cold-water immersion, and massage on physical, technical, physiological, and perceptual recovery during and after a five-day simulated tennis tournament. Nine competitive male tennis players (age, 24.6±4.2 years) with national ranking positions (German Tennis Federation) and Universal Tennis Ratings between approximately 11–13 participated in two singles tennis tournaments, which were separated by a three-month washout period. During the tournaments, participants played five two-and-a-half-hour competitive singles tennis match on five consecutive days. For the assignment to one of two groups, athletes were matched into homogeneous pairs according to their ranking. Then, within each pair, the players were randomly assigned to one of two groups. The first group performed MMR during the first tournament, whereas the other group used passive recovery (PAS). During the second tournament, recovery conditions were interchanged. Measures of physical and technical performance as well as physiological and perceptual responses (heart rate, blood lactate concentration, perceived exertion) were recorded during match-play sessions. Furthermore, muscle soreness, perceived recovery state, blood markers, countermovement jump height (CMJ), and repeated sprint ability (RSA) were determined before, during, and after the five-day tournament periods. Results showed significant changes over time (P < 0.05) in muscle soreness, perceived recovery state, creatine kinase, c-reactive protein, insulin-like growth factor 1, and countermovement jump height. However, no significant differences or recovery strategy x time interactions were noted either for tennis-specific performance (e.g. number of total points won) or any other of the measured parameters between MMR and PAS (P > 0.05). In conclusion, the repeated use of MMR during and after a five-day tennis tournament did not affect match performance, match load, or recovery from repeated days of tennis match play.

Reliability of simulation-based assessment for practicing physicians: performance is context-specific

IntroductionEven physicians who routinely work in complex, dynamic practices may be unprepared to optimally manage challenging critical events. High-fidelity simulation can realistically mimic critical clinically relevant events, however the reliability and validity of simulation-based assessment scores for practicing physicians has not been established.MethodsStandardised complex simulation scenarios were developed and administered to board-certified, practicing anesthesiologists who volunteered to participate in an assessment study during formative maintenance of certification activities. A subset of the study population agreed to participate as the primary responder in a second scenario for this study. The physicians were assessed independently by trained raters on both teamwork/behavioural and technical performance measures. Analysis using Generalisability and Decision studies were completed for the two scenarios with two raters.ResultsThe behavioural score was not more reliable than the technical score. With two raters > 20 scenarios would be required to achieve a reliability estimate of 0.7. Increasing the number of raters for a given scenario would have little effect on reliability.ConclusionsThe performance of practicing physicians on simulated critical events may be highly context-specific. Realistic simulation-based assessment for practicing physicians is resource-intensive and may be best-suited for individualized formative feedback. More importantly, aggregate data from a population of participants may have an even higher impact if used to identify skill or knowledge gaps to be addressed by training programs and inform continuing education improvements across the profession.

Quantifying the “Assistant Effect” in Robotic-Assisted Radical Prostatectomy (RARP): Measures of Technical Performance

Surgeons are reliant on the bedside assistant during robotic surgeries. Using a modified global rating scale (GRS), we aim to assess the association between an assistant's technical skill on surgeon performance in Robotic-Assisted Radical Prostatectomy (RARP). Prospective, intraoperative video from RARP cases at three centers were collected. Baseline demographic and RARP-experience data were collected from participating surgeons and trainees. The dissection of the prostatic pedicle and neurovascular bundle step (NVB) was analyzed. Expert analysts scored the console surgeon performance using the Global Evaluative Assessment of Robotic Skills (GEARS), and the bedside assistant performance using a modified Objective Structured Assessment of Technical Skills (aOSATS). The primary outcome is the association between console surgeon performance, as measured by GEARS, and assistant skill, as measured by aOSATS. Spearman's rho correlations were used to test the relationship between assistant and surgeon technical performance, and a multivariable linear regression model was created to test this association while controlling for patient factors. 92 RARP cases were available for the analysis, comprising 14 console surgeons and 22 different bedside assistants. In only 5 (5.4%) cases, the neurovascular bundle step was completed by a trainee, and in 13 (14.1%) of cases, a staff-level surgeon acted as the bedside assistant. aOSATS score was significantly associated with robotic console experience (P=0.011), and prior laparoscopic experience (P<0.001). Assistant aOSATS score showed a weak but significant correlation with surgeon GEARS score during the neurovascular bundle step (spearman's rho=0.248, P=0.028). On linear regression, aOSATS remained a significant predictor of console surgeon performance (P=0.016), after controlling for patient age and BMI, prostate volume, tumor stage, and presence of nerve-sparing. This is the first study to assess the association between assistant technical skill and surgeon performance in RARP. Additionally, we have provided validity evidence for a modified OSATS global rating scale for training and assessing bedside assistant performance.

A new measure of technical efficiency in data envelopment analysis based on the maximization of hypervolumes: Benchmarking, properties and computational aspects

The measurement of technical efficiency attracts considerable interest in the literature. In fact, following on from the seminal works by Koopmans (1951), Debreu (1951), Shephard (1953) and Farrell (1957), a substantial amount of literature has been dedicated to methods for estimating production frontiers and measuring the technical efficiency of production units. Data Envelopment Analysis (DEA) has an important role among current techniques for determining technical efficiency due to its flexibility when it comes to confronting multiple inputs and outputs as well as its non-parametric nature. Many different DEA-based technical efficiency measures have evolved over the last forty years, including radial, hyperbolic, directional, (weighted) additive, slacks-based measures, etc. Nevertheless, there is still room for harnessing new measures that are capable of satisfying interesting properties. For instance, slacks-based measures generally yield solutions with zero values in some slacks, which may mean overloading some of the other dimensions to reach the efficient frontier, thereby involving unbalanced efforts that are unrealistic. Moreover, the projection point determined by standard measures is not unique which is a further weakness from a benchmarking perspective. The purpose of this paper is to propose a novel technical efficiency performance measure in DEA on the premise of maximizing the hypervolume, while dealing with these problems and satisfying additional properties at the same time. In particular, we prove that the new approach yields unique projection points, which is not a usual property of DEA technical efficiency measures. From a computational perspective, second-order cone programming is capable of solving the new measure. Finally, an empirical example extracted from the literature serves to illustrate the new methodology.

Using Resilience in Risk-Based Asset Management Plans

Each state in the U.S.A. is required to develop and maintain a risk-based transportation asset management plan for the National Highway System (NHS) to improve or preserve the condition of the assets and the performance of the system. Awareness of natural hazards and extreme weather events has also increased with recent catastrophic hurricanes, such as Matthew (October, 2016) and Harvey (August, 2017), which caused significant inland floods in Robeson County, North Carolina, and Houston, Texas, respectively. These recent events and the damage to transportation infrastructure has also focused attention on the resilience of transportation networks. However, an integrated, consistent, well-understood method to assess or quantify the resilience of transportation networks is still lacking. This paper reviews the relevant concepts, legislative requirements that link asset management, risk and resilience, and tools available to support risk-based asset management. Based on a review of the transportation asset management plans developed by 49 state departments of transportation in 2018 and 2019, the paper summarizes the approaches to the risk management section of these asset management plans and the role resilience plays. Opportunities to better integrate resilience into the risk-based asset management plans are then identified. Examples are presented that demonstrate the role of resilience-related technical performance measures that reflect decisions related to flooding in the various stages of the disaster cycle (preparedness, response, recovery, and mitigation).

Technical Measures Perspectives in Selection of Handling Qualities Criteria for Flight Control Design

AbstractThe requirements of satisfactory pilot‐vehicle interaction in high workload precision flying tasks plays a very important and dominant role in the design of flight control systems. Based on the extensive flight test experience, quantitative handling qualities specifications to aid control law design have been derived and documented in relevant MIL Standards. In this paper an attempt is made to demonstrate methodology used for validation of Handling Qualities (HQ) requirements for a HighPerformance fighter Aircraft (HPA) using technical measurements in systems engineering i.e. Measure of effectiveness (MOE), Measure of performance (MOP) and Technical performance measure (TPM) as defined by INCOSE.A mission requirement such as Air to Air Refueling (AAR) is considered as a user need in qualitative form and is mapped to MOE as an indicator of achieving the operational objective. The MOPs are arrived from the handling quality specifications from MIL standards for the flight control design. TPMs enable an assessment of the system design by estimating the values of key performance parameters of the design through engineering analyses and tests.A piloted evaluation is performed for the given mission requirement. The flight data together with pilot comments on aircraft handling qualities are assessed to identify any mismatch between predicted HQ versus piloted evaluation which leads to iteration of flight control laws. Thereby, the use of technical measures keeps track of requirements to be met while maintain desired system performance as well anticipate any risk and mitigate the same during early stage of design cycle.

Understanding the Impact of Trunk and Arm Impairments on Wheelchair Rugby Performance During Competition.

Purpose: To determine the effect of trunk and arm impairments on physical and technical performance during wheelchair rugby (WR) competition. Methods: Thirty-one highly trained WR players grouped according to their trunk (no trunk [NT]; some trunk [T] function) and arm impairments (poor, moderate, and good arm function) participated in 5 WR matches. Players' physical (wheelchair mobility) and technical (ball handling) activities were analyzed using an indoor tracking system and video analysis, respectively. Results: Trunk impairment explained some of the variance in physical (10.6-23.5%) and technical (16.2-33.0%) performance. T covered more distance, had more possession, scored more goals, and received and made more passes yet spent less time at low speeds and performed fewer inbounds than NT (≤.05). Arm impairment explained some of the variance in all physical (16.7-47.0%) and the majority of technical (13.1-53.3%) performance measures. Moderate and good arm function covered more distance, reached higher peak speeds, spent more time in higher speed zones, scored more goals, had more possession, and received and made more passes, with a higher percentage of 1-handed and long passes, than poor arm function. Good arm function also received more passes and made a higher percentage of 1-handed passes and defensive blocks than moderate arm function (P ≤ .05). Conclusions: Arm impairment affects a greater number of physical and technical measures of performance specific to WR than trunk impairment during competition. Having active finger function (good arm function) yielded no further improvements in physical performance but positively influenced a small number of technical skills.

Situational factors affecting rugby sevens match performance

ABSTRACTPurpose: To examine the independent influence of a range of situational factors on physical and technical match performance during international rugby sevens matches.Methods: Data was collected from 20 professional rugby sevens players from one team across one competitive season. Activity profiles were measured using wearable microtechnology devices, and technical performance measures were collected using match video analysis. A principal components analysis was conducted to reduce the dimensionality of the physical and technical match performance variables into single index values incorporating each variable’s distinct information. Linear mixed models were then constructed to examine the collective influence of external contextual factors on physical and technical index scores.Results: Increased points conceded, a winning match outcome, and more favourable weather all had positive impacts on the Physical Performance Factor, with all other situational factors examined not contributing to a significantly better model fit. Technical Performance Factor values were shown to increase with longer match involvement durations and decrease when playing against higher ranked opponents.Conclusions: These findings show that winning the match, conceding more points, and more favourable weather conditions are associated with increased physical performance; whilst technical performance improved with longer playing durations and playing lower ranked opponents.

Individual Factors Affecting Rugby Sevens Match Performance.

Purpose: To examine the collective independent influence of a range of individual characteristics on physical and technical match performance during international rugby sevens matches. Methods: Data were collected from 20 international rugby sevens players from 1 team across 1 season. Activity profiles were measured using wearable microtechnology devices, and technical performance measures were collected from match video analysis. Subjective well-being measures were collected using a well-being questionnaire completed on the morning of main training days, and groin-squeeze assessments at 0° and 60° knee flexion were also conducted using a sphygmomanometer. Assessments of aerobic fitness were completed periodically across the season, including time to complete a 2-km run and final velocity during the 30:15 Intermittent Fitness Test (VIFT). A principal-components analysis was conducted to reduce the dimensionality of the physical and technical variables into single-factor values. Linear mixed models were then constructed to examine the collective influence of a range of individual contextual variables on physical and technical performance factors. Results: Increased muscle soreness, stress, and VIFT were associated with trivial to small increases in physical and technical performance values, whereas trivial to small decreases were associated with higher perceived recovery, body weight, and groin squeeze (0° knee flexion). Conclusions: A range of well-being metrics are required to account for a significant portion of the variance in physical and technical performance. These factors may be manipulated by coaches or practitioners to achieve favorable physiological readiness that may lead to improved match performance.

Process Planning Optimization With Energy Consumption Reduction From a Novel Perspective: Mathematical Modeling and a Dynamic Programming-Like Heuristic Algorithm

Process planning can be deemed as an important component in manufacturing systems. It bridges the gap between designing and manufacturing by specifying the manufacturing requirements and details to convert a part from raw materials to the finished form. For the purpose of low carbon emission, this paper pays attention to both technical performance measures and environmental impact criteria. In this problem, a part may have more than one process plans and only one process plan can finally be adopted. Due to the non-deterministic polynomial-hardness, it is rather difficult to conduct operation selection, machine determination, operation sequencing, and energy consumption reduction simultaneously with various constraints from technical requirements or the shop floor status. A novel position-based mixed integer linear programming model is developed to reduce total production time and the total energy consumption. The energy consumption coefficient matrix is proposed to evaluate the energy consumption in process planning. Because of the complexity in solving the model, this research proposes dynamic programming-like heuristic algorithm to tackle this problem. The weighted sum method is applied in multi-objective optimization and three typical instances with operation flexibility, sequencing flexibility, and processing flexibility are used to test the proposed algorithm. According to the results, both the total production time and the energy consumption criteria are optimized; in the best case, the energy consumption after optimization takes only 21.2% of the one before optimization. On average, about 40.9% of the total energy consumption can be reduced after optimization. Computational results also show that the proposed algorithm is generally better than the genetic algorithm. This research gives a novel perspective to reduce energy consumption in the process planning stage.

Infrastructure as a wicked complex process

Changing complexity in the increasingly integrated human, natural, and built systems within which our infrastructures are designed and operated make it necessary to examine how the role of engineering requires new competencies for satisficing. Several long-term trends appear to be shifting our infrastructures further away from the complicated domain where optimization and efficiency were the core approaches, to the domain of complexity, where rapidly changing environments and fragmentation of goals require fundamentally new approaches. While complexity in infrastructure has always existed in some form, making infrastructures agile and flexible for the Anthropocene will require us to acknowledge and work with the fact that infrastructure change now appears to be a wicked and complex process. Wicked complexity is the result of three competing forces that are inimical to rapid and sustained change of infrastructures in a future marked by acceleration and uncertainty: wicked problems, technical complexity including lock-in, and social complexity. The combination of these factors raises serious questions about whether rapidly changing demands, technologies, and perturbations (such as climate change, or cyber attacks) will affect our infrastructure’s capacity to provide services. What infrastructure managers need to do today is very different than in the past. Increased presence and polarization of viewpoints is becoming more common, where solutions are dictated not by technical performance measures but instead by “acceptable enough” to all parties. Adaptive management practices and associated competencies that have proven successful in managing complex socio-ecological systems may provide some guidance for how to manage infrastructure change. These competencies are i) promoting a shared understanding of what infrastructures can do, ii) managing infrastructures as systems with changing demands, iii) emphasizing experimentation over conventional approaches, and, iv) restructuring education and training for a complexity mindset that emphasizes what can be over what is, and relies on satisficing, not optimization.