Scientific Goals Research Articles

Stingray Sensor System for Persistent Survey of the GEO Belt.

The Stingray sensor system is a 15-camera optical array dedicated to the nightly astrometric and photometric survey of the geosynchronous Earth orbit (GEO) belt visible above Tucson, Arizona. The primary scientific goal is to characterize GEO and near-GEO satellites based on their observable properties. This system is completely autonomous in both data acquisition and processing, with human oversight reserved for data quality assurance and system maintenance. The 15 ZWO ASI1600MM Pro cameras are mated to Sigma 135 mm f/1.8 lenses and are controlled simultaneously by four separate computers. Each camera is fixed in position and observes a 7.6-by-5.8-degree portion of the GEO belt, for a total of a 114-by-5.8-degree field of regard. The GAIA DR2 star catalog is used for image astrometric plate solution and photometric calibration to GAIA G magnitudes. There are approximately 200 near-GEO satellites on any given night that fall within the Stingray field of regard, and all those with a GAIA G magnitude brighter than approximately 15.5 are measured by the automated data reduction pipeline. Results from an initial one-month survey show an aggregate photometric uncertainty of 0.062 ± 0.008 magnitudes and astrometric accuracy consistent with theoretical sub-pixel centroid limits. Provided in this work is a discussion of the design and function of the system, along with verification of the initial survey results.

Social Control of Everyday Life and Political Construction of (Montenegrin) Identity

Abstract The research problem is the influence of global crisis on identity and daily life of Montenegrin people. The subject is the political construction of (Montenegrin) identity, as a result of social control on everyday life, where identities are born. For the purpose of researching this relation, the starting point is the explanatory potential of J. Habermas’s contemporary socio-political theory about the colonization of the lifeworld by an expansionist logic of the political-economic constellation (system). Scientific goals are: 1) description of the colonization of the lifeworld and the construction of (Montenegrin) identity, as an indicator of social crisis (in Montenegro); 2) understanding the causal factors (causes, motives) of (Montenegrin) identity construction; 3) generic explanation of the political construction of (Montenegrin) identity, through strategies, policies, educational and media influences. Social goals refer to: 1) expansion of the fund of knowledge about contemporary (Montenegrin) society and its problematic aspects; 2) pragmatic explanations of the problem of social control of everyday life through the re-actualization of socio-political concepts; 3) indication of guidelines for possible changes for the better in the sphere of everyday life in the foreseeable future. The methodology concerns the main hypothesis that by constructing the identity of people in the post-industrial society, social control of everyday life is realized. Auxiliary hypotheses are: 1) Identity construction takes place through strategies, policies, educational and media influences as segments of social control aimed at managing social resources from the local to the global level. 2) With instruments of social control, a desirable system of values of individuals and social groups is established with the aim of preventing, delaying, compensating, and transforming their potential subversive action (undermining the system from within). The independent or causal variable is the social control of everyday life, while the dependent or consequential variable is the constructed identity. Making final findings will be facilitated by the synthesis, inductive and deductive methods of reasoning, as well as the method of comparison with a case study. The results refer to the achieved goals and the general conclusion that the system’s power logic reduces the sphere of free and open communication of individuals, thus their identity becomes a place of permanent crisis due to the threat of the meaning of everyday life within which identity is formulated. This crisis is the reason that identities will remain endangered until the question of alienation of life is raised, in accordance with the capitalist imperatives of unlimited economic growth and consumption, and instrumental-rational interaction. As a reaction to the system dominance, the forces of resistance are strengthening, in the form of new alternative grassroots social movements, such as Civil Movement United Reform Action (URA), in Montenegro, which is pro-European green political party of the left center and social-liberal ideological provenance.

Multisensory flicker modulates widespread brain networks and reduces interictal epileptiform discharges

Modulating brain oscillations has strong therapeutic potential. Interventions that both non-invasively modulate deep brain structures and are practical for chronic daily home use are desirable for a variety of therapeutic applications. Repetitive audio-visual stimulation, or sensory flicker, is an accessible approach that modulates hippocampus in mice, but its effects in humans are poorly defined. We therefore quantified the neurophysiological effects of flicker with high spatiotemporal resolution in patients with focal epilepsy who underwent intracranial seizure monitoring. In this interventional trial (NCT04188834) with a cross-over design, subjects underwent different frequencies of flicker stimulation in the same recording session with the effect of sensory flicker exposure on local field potential (LFP) power and interictal epileptiform discharges (IEDs) as primary and secondary outcomes, respectively. Flicker focally modulated local field potentials in expected canonical sensory cortices but also in the medial temporal lobe and prefrontal cortex, likely via resonance of stimulated long-range circuits. Moreover, flicker decreased interictal epileptiform discharges, a pathological biomarker of epilepsy and degenerative diseases, most strongly in regions where potentials were flicker-modulated, especially the visual cortex and medial temporal lobe. This trial met the scientific goal and is now closed. Our findings reveal how multi-sensory stimulation may modulate cortical structures to mitigate pathological activity in humans.

Universal Control of Symmetric States Using Spin Squeezing.

The manipulation of quantum many-body systems is a crucial goal in quantum science. Entangled quantum states that are symmetric under qubits permutation are of growing interest. Yet, the creation and control of symmetric states has remained a challenge. Here, we introduce a method to universally control symmetric states, proposing a scheme that relies solely on coherent rotations and spin squeezing. We present protocols for the creation of different symmetric states including Schrödinger's cat and Gottesman-Kitaev-Preskill states. The obtained symmetric states can be transferred to traveling photonic states via spontaneous emission, providing a powerful approach for engineering desired quantum photonic states.

JASMINE: Near-infrared astrometry and time-series photometry science

Abstract The Japan Astrometry Satellite Mission for INfrared Exploration (JASMINE) is a planned M-class science space mission by the Institute of Space and Astronautical Science, the Japan Aerospace Exploration Agency. JASMINE has two main science goals. One is Galactic archaeology with a Galactic Center survey, which aims to reveal the Milky Way’s central core structure and formation history from Gaia-level (∼25 ${\mu} $as) astrometry in the near-infrared (NIR) Hw band (1.0–1.6 ${\mu} $m). The other is an exoplanet survey, which aims to discover transiting Earth-like exoplanets in the habitable zone from NIR time-series photometry of M dwarfs when the Galactic Center is not accessible. We introduce the mission, review many science objectives, and present the instrument concept. JASMINE will be the first dedicated NIR astrometry space mission and provide precise astrometric information on the stars in the Galactic Center, taking advantage of the significantly lower extinction in the NIR. The precise astrometry is obtained by taking many short-exposure images. Hence, the JASMINE Galactic Center survey data will be valuable for studies of exoplanet transits, asteroseismology, variable stars, and microlensing studies, including discovery of (intermediate-mass) black holes. We highlight a swath of such potential science, and also describe synergies with other missions.

High Elevation Radiation Array (HERA) detectors for airborne thunderstorm investigations

A high-energy atmospheric physics phenomenon, referred to as a terrestrial gamma ray flash (TGF), is associated with lightning and produces large bursts of energetic photon radiation. TGFs will be investigated using a suite of gamma-ray instruments designed and constructed to fly on ten United States Air Force (USAF) WC-130J Hurricane Hunter aircraft as part of an aircrew ionization study led by the Air Force Institute of Technology (AFIT) and the United States Air Force School of Aerospace Medicine (USAFSAM), in cooperation with the 53rd Weather Reconnaissance Squadron (WRS). Each instrument consists of one NaI and one plastic detector, a GPS timing device, and an instrument computer that performs data acquisition. High Elevation Radiation Array (HERA) detectors will be employed to maximize the chances of observing TGFs near their source and to gain a better understanding of their origin, mechanism, ubiquity, and to assess potential hazards posed to military and commercial aircrew and passengers. The HERA program, deployed on 10 separate Air Force aircraft over a multi-year campaign, will result in thousands of observational flight hours and be the largest concerted effort to date to observe TGFs in situ through aircraft observations. In this paper, we give an overview of the scientific goals of this campaign and how the HERA instruments have been designed to meet those goals. We include a detailed description of the HERA instrument, along with mass model and signal processing simulations.

Development of the mobile application “Fascinating Onomastics” based on semantic base of knowledge

This research, funded under the BR11765535 “Development of Scientific and Linguistic Foundations and IT Resources to Expand the Functions and Improve the Culture of the Kazakh Language” project, is aimed at the need to develop the scientific and linguistic foundations of the Kazakh language with a special focus on anthroponymy. Through the use of descriptive and historical methods, the research creates a semantic knowledge base for Kazakh proper names. This extensive database forms the basis of the innovative mobile application "Fascinating Onomastics", developed using the Flutter 3.0 framework. The application serves as an innovative resource allowing users to study Kazakh anthroponymy with features such as name search, favorites and the ability to add new names. The study revealed about 100 properties that affect the structure of proper names, contributing to a deeper understanding of Kazakh onomastics. The technical and economic effectiveness of the application is highlighted by its potential to increase cultural awareness, promote cultural tourism and be used as an economically viable product. In addition, this study has a high scientific and technical status, offering an unprecedented contribution to the study of Kazakh onomastics and cultural heritage. The application "Fascinating Onomastics" with its rich semantic features and interface in the Kazakh language is becoming an important milestone in achieving scientific, cultural and educational goals.

LINGUISTIC ECONOMY AND SYSTEMATIC CONSTRUCTION OF LANGUAGE

The article provides general information about language phenomena, artificial intelligence and their connection with knowledge, thinking, memory, etc. In addition, the approaches and opinions of scientists on these topics are presented and explained with the help of examples. The author states that the movement of thinking and the formation of thought is associated with cognitive activity, a process that ensures the reflection of reality directly in the mind. It is known that the formation of speech units and their understanding are the result of mental activity. The performance of this activity is directly related to the condition of obtaining linguistic knowledge. There is no way to know reality without linguistic knowledge, to lyrically express logical structures that reflect information about the current event-events. However, at the intersection of cognitive science, six fields of science are adjacent, and a single scientific goal is to be occupied with the search for a solution to the problems of concentration, processing and application of knowledge in natural and artificial systems. It seems-that interrelation between these areas does not take place in the same way, whereas, Artificial Intelligence and anthropological philosophy are directly related.Meanwhile, human cognitive activity should be considered not as a reflection of being as a mirror, but as a phenomenon that reflects the inner or outer essence of objects. The mental structure formed in the process of cognition –the content of the concept is occupied by character-features that have a clear appearance of exactly this type, and the same features lead in the linguistic reality of the concept.

A Review on Graphene Analytical Sensors for Biomarker-based Detection of Cancer.

The engineering of nanoscale materials has broadened the scope of nanotechnology in a restricted functional system. Today, significant priority is given to immediate health diagnosis and monitoring tools for point-of-care testing and patient care. Graphene, as a one-atom carbon compound, has the potential to detect cancer biomarkers and its derivatives. The atom-wide graphene layer specialises in physicochemical characteristics, such as improved electrical and thermal conductivity, optical transparency, and increased chemical and mechanical strength, thus making it the best material for cancer biomarker detection. The outstanding mechanical, electrical, electrochemical, and optical properties of two-dimensional graphene can fulfil the scientific goal of any biosensor development, which is to develop a more compact and portable point-of-care device for quick and early cancer diagnosis. The bio-functionalisation of recognised biomarkers can be improved by oxygenated graphene layers and their composites. The significance of graphene that gleans its missing data for its high expertise to be evaluated, including the variety in surface modification and analytical reports. This review provides critical insights into graphene to inspire research that would address the current and remaining hurdles in cancer diagnosis.

Differential optical transfer function (dOTF) broad-spectrum wavefront sensing using integral field unit spectroscopy

Context. Detecting and characterizing Earth-like exoplanets is a critical scientific goal for the next generation of telescopes. However, current direct imaging instruments are hindered by evolving noncommon path aberrations (NCPAs), which lead to persistent speckles in the images. The differential optical transfer function (dOTF) is an image-based, noniterative, and model-independent wavefront sensor that combines differential images to estimate the complex field of the pupil. Aims. Given the objective of spectrally characterizing exoplanets to discern their composition and potentially detect biosignatures, we aim to explore the integration of the dOTF sensing method with an integral field unit (IFU) spectrograph. An IFU spectrograph generates a spectral data cube that contains diverse spectral information within a single dataset. Combining these two concepts is expected to improve the efficiency with which NCPAs can be spectrally measured and characterized. Methods. This Letter presents an implementation strategy for integrating dOTF and IFU spectroscopy data, enabling estimations of the electric field at various wavelengths simultaneously. Results. This method is specifically optimized to provide the most effective combination with minimal hardware requirements. It involves the use of multiple simultaneous deformable mirror actuator displacements in conjunction with an adapted Lyot stop employing a circular variable filter. Conclusions. The dOTF wavefront sensor coupled with an IFU spectrograph promises to be rapid and efficient, capable of measuring NCPAs across the entire spectrum provided by the spectrograph. Because the combination of dOTF and IFU spectroscopy is immediately applicable, it is of potential interest for various present-day on-sky instruments, as well as future IFU-based instruments coupled to the next generation of extremely large telescopes (ELTs).

B-mode polarization forecasts for GreenPol

We present tensor-to-scalar ratio forecasts for GreenPol, a hypothetical ground-based B-mode experiment aiming to survey the cleanest regions of the Northern Galactic Hemisphere at five frequencies between 10 and 44 GHz. Its primary science goal would be to measure large-scale cosmic microwave background (CMB) polarization fluctuations at multipoles ℓ ≲ 500, and thereby constrain the primordial tensor-to-scalar ratio r. The observations for the suggested experiment would take place at the Summit Station (72 ° 34N, 38 ° 27W) on Greenland, at an altitude of 3216 m above sea level. For this paper we simulated various experimental setups, and derived limits on the tensor-to-scalar ratio after CMB component separation using a Bayesian component separation implementation called Commander. When combining the proposed experiment with Planck HFI observations for constraining polarized thermal dust emission, we found a projected limit of r < 0.02 at 95% confidence for the baseline configuration. This limit is very robust with respect to a range of important experimental parameters, including sky coverage, detector weighting, foreground priors, among others. Overall, GreenPol would have the possibility to provide deep CMB polarization measurements of the Northern Galactic Hemisphere at low frequencies.

The Next Generation Deep Extragalactic Exploratory Public (NGDEEP) Survey

We present the Next Generation Deep Extragalactic Exploratory Public (NGDEEP) Survey, a deep slitless spectroscopic and imaging Cycle 1 JWST treasury survey designed to constrain feedback mechanisms in low-mass galaxies across cosmic time. NGDEEP targets the Hubble Ultra Deep Field (HUDF) with NIRISS slitless spectroscopy ( flim,line,5σ≈1.2× 10−18 erg s−1 cm−2) to measure metallicities and star formation rates (SFRs) for low-mass galaxies through the peak of the cosmic SFR density (0.5 < z < 4). In parallel, NGDEEP targets the HUDF-Par2 parallel field with NIRCam ( mlim,5σ=30.6−30.9 ) to discover galaxies to z > 12, constraining the slope of the faint end of the rest-ultraviolet luminosity function. NGDEEP overlaps with the deepest HST Advanced Camera for Surveys optical imaging in the sky, F435W in the HUDF ( mlim,F435W=29.6 ) and F814W in HUDF-Par2 ( mlim,F814W=30 ), making this a premier HST+JWST deep field. As a treasury survey, NGDEEP data are public immediately, and we will rapidly release data products and catalogs in the spirit of previous deep-field initiatives. In this paper we present the NGDEEP survey design, summarize the science goals, and detail plans for the public release of NGDEEP reduced data products.

Artificial Intelligence: A Way to Promote Innovation

The theme of artificial intelligence is how to use it to make computers useful in solving problems concerning health. We interpret the data obtained by diagnosing various diseases, such as various types of cancer, diabetes, etc. The largest scientific goal of information construction—the theory of processing intelligence. It is the science and engineering of manufacturing. Intelligent machines, especially an intelligent computer. This work presents artificial intelligence (A.I.). Study how to make computers that have some characteristics of the human mind. A.I. systems are now routinely used in the economy, Medicine, and the military. They also have broad data that can potentially solve many problems in clinical trials. This article provides an overview of A.I. and its innovations. It is one of the cutting-edge technologies shaping the future of pharmacy. Various advanced systems, such as mathematics, machining performance, cloud computing, and algorithm design, have accelerated the development of methods that can be used to analyze, interpret, and make predictions using these data sources. We can learn how to get machines to solve problems by observing others.There has been sporadic research growth in two main areas: genomics and digital Medicine. This article examines the introduction, definition, history, applications, and innovation in pharmacy.

To the Question of the Conjunction of the Cognitive Potential of the Dialectical Method and the Systematic Approach

The presented text is devoted to the study, systematization and integration of economic knowledge in the aspect of researching the possibilities of coupling the cognitive potential of the dialectical method and systems approach in the context of identifying the features of the evolution process of complex weakly structured macro-objects, which are in different phase states of their being. As a scientific goal, the problem of researching the possible limits and potential of applying the dialectical method and the system approach in the context of identifying the features of the process of evolution of economic systems, mediated by the phase nature of the process of social production. Based on the cognitive potential of the dialectical method, system analysis, supplemented by certain elements of the method of ascent from the abstract to the concrete, it is proved that the conjunction of the cognitive potential of these tools, ultimately allows a comprehensive qualitative presentation of the evolution of economic systems; the approach proposed by the authors fully fits into the synergistic paradigm of modern science, as its basis is the study of qualitative transformations in macroobjects, that are in a dynamic nonequilibrium state, for which the multivariate nature of elements is inherent.

Improving Photometric Redshift Estimation for Cosmology with LSST Using Bayesian Neural Networks

We present results exploring the role that probabilistic deep learning models can play in cosmology from large-scale astronomical surveys through photometric redshift (photo-z) estimation. Photo-z uncertainty estimates are critical for the science goals of upcoming large-scale surveys such as the Legacy Survey of Space and Time (LSST); however, common machine learning methods typically provide only point estimates and lack uncertainties on predictions. We turn to Bayesian neural networks (BNNs) as a promising way to provide accurate predictions of redshift values with uncertainty estimates. We have compiled a galaxy data set from the Hyper Suprime-Cam Survey with grizy photometry, which is designed to be a smaller-scale version of large surveys like LSST. We use this data set to investigate the performance of a neural network and a probabilistic BNN for photo-z estimation and evaluate their performance with respect to LSST photo-z science requirements. We also examine the utility of photo-z uncertainties as a means to reduce catastrophic outlier estimates. The BNN outputs the estimate in the form of a Gaussian probability distribution. We use the mean and standard deviation as the redshift estimate and uncertainty. We find that the BNN can produce accurate uncertainties. Using a coverage test, we find excellent agreement with expectation—67.2% of galaxies between 0 < 2.5 have 1σ uncertainties that cover the spectroscopic value. We also include a comparison to alternative machine learning models using the same data. We find the BNN meets two out of three of the LSST photo-z science requirements in the range 0 < z < 2.5.

Modelling science return from the lunar crater radio telescope on the far side of the moon.

The era following the separation of CMB photons from matter, until the emergence of the first stars and galaxies, is known as the Cosmic Dark Ages. Studying the electromagnetic radiation emitted by neutral hydrogen having the 21 cm rest wavelength is the only way to explore this significant phase in the Universe's history, offering opportunities to investigate essential questions about dark matter physics, the standard cosmological model andinflation. Due to cosmological redshift, this signal is now only observable at frequencies inaccessible from the Earth's surface due to ionospheric absorption and reflection. With the Lunar Crater Radio Telescope (LCRT), we aim to conduct unprecedented measurements of the sky-averaged redshifted signal spectrum in the 4.7-47 MHz band, by deploying a 350 m diameter parabolic reflector mesh inside a lunar crater on the far side of the Moon and suspending a receiver at its focus. This work discusses the feasibility of the LCRT science goals through the development of a science model, with emphasis on post-processing techniques to extract the Dark Ages signal from the galactic foreground dominating the expected raw data. This model can be used to vary critical instrument and mission parameters to understand their effect on the quality of the retrieved signal. This article is part of a discussion meeting issue 'Astronomy from the Moon: the next decades (part 2)'.

Optical properties of Y dwarfs observed with the Gran Telescopio Canarias

Our science goals are to characterise the optical properties of Y dwarfs and to study their consistency with theoretical models. A sample of five Y dwarfs was observed with three optical and near-infrared instruments at the 10.4\,m Gran Telescopio Canarias. Deep near-infrared ($J$- or $H$-band) and multicolour optical images ($z$-, $i$-, $r$-, $g$-, $u$-bands) of the five targets and a low-resolution far-red optical spectrum for one of the targets were obtained. One of the Y dwarfs, WISE J173835.53+273258.9 (Y0), was clearly detected in the optical ($z$- and $i$-bands) and another, WISE J182831.08+265037.7 (Y2), was detected only in the $z$-band. We measured the colours of our targets and found that the $z-J$ and $i-z$ colours of the Y dwarfs are bluer than those of mid- and late-T dwarfs. This optical blueing has been predicted by models, but our data indicates that it is sharper and happens at temperatures about 150 K warmer than expected. The culprit is the K I resonance doublet, which weakens more abruptly in the T- to Y-type transition than expected. Moreover, we show that the alkali resonance lines (Cs I and K I) are weaker in Y dwarfs than in T dwarfs; the far-red optical spectrum of WISE J173835.53+273258.9 is similar to that of late-T dwarfs, but with stronger methane and water features; and we noted the appearance of new absorption features that we propose could be due to hydrogen sulphide. Last but not least, in 2014, WISE J173835.53+273258.9 presented a bluer $i-z$ colour than in 2021 by a factor of 2.8 (significance of 2.5sigma ). Thanks to our deep optical images, we found that the 2014 $i$-band spectrum was contaminated by a galaxy bluer than the Y dwarf. The optical properties of Y dwarfs presented here pose new challenges to the modelling of grain sedimentation in extremely cool objects. The weakening of the very broad K I resonance doublet due to condensation in dust grains is more abrupt than theoretically anticipated. Consequently, the observed blueing of the $z-J$ and $i-z$ colours of Y dwarfs with respect to T dwarfs is more pronounced than predicted by models and could boost the potential of upcoming deep large-area optical surveys regarding their ability to detect extremely cool objects.

Responsible Research Assessment Should Prioritize Theory Development and Testing Over Ticking Open Science Boxes

We appreciate the initiative to seek for ways to improve academic assessment by broadening the range of relevant research contributions and by considering a candidate’s scientific rigor. Evaluating a candidate's ability to contribute to science is a complex process that cannot be captured through one metric alone. While the proposed changes have some advantages, such as an increased focus on quality over quantity, the proposal's focus on adherence to open science practices is not sufficient, as it undervalues theory building and formal modelling: A narrow focus on open science conventions is neither a sufficient nor valid indicator for a “good scientist” and may even encourage researchers to choose easy, pre-registerable studies rather than engage in time-intensive theory building. Further, when in a first step only a minimum standard for following easily achievable open science goals is set, most applicants will soon pass this threshold. At this point, one may ask if the additional benefit of such a low bar outweighs the potential costs of such an endeavour. We conclude that a reformed assessment system should put at least equal emphasis on theory building and adherence to open science principles and should not completely disregard traditional performance metrices.

The New Era of Machine Learning: A Curse or a Boon for Society

Abstract: Machine Learning (ML) &amp; Artificial Intelligence (AI) is changing how we live and work by permeating more and more industries. Although artificial intelligence (AI) has great promise for improving efficiency and accuracy in decision-making, it also poses serious concerns about how AI will affect society and the nature of labor in the future. Our goal in this study article is to investigate the possible effects of AI's widespread use on employment, inequality, ethics, and privacy. We'll look at current developments in AI and assess how they affect different sectors, such as the job market, healthcare, finance, and education. Additionally, the article will evaluate the possible risks that come with AI and go over possible mitigation strategies. Through an analysis of AI's current state and future social implications, this research attempts to offer a thorough and informed view of what work will look like in an AI-driven world. Keywords: Societal Impact, Role, Ethical Considerations, Influence on Specific Industries, Potential, Conclusion The goal of the computer science and engineering field of artificial intelligence (AI) is to build intelligent computers that are capable of carrying out tasks that would typically require human intelligence. Language comprehension, pattern identification, and decision-making are all part of this activity. AI systems are now widely used across many industries, including healthcare, banking, education, and retail, thanks to the growth of AI technology. The broad use of AI has the potential to help society greatly in a number of ways, such as increased decision-making accuracy and efficiency, better patient outcomes in the medical field, and enhanced financial outcomes in the banking industry. But as AI advances, significant questions concerning its effects on society and the direction of business are brought up. AI systems have the ability to change the power

Decolonizing and Diversifying Research in Cognitive Development

ABSTRACT This article serves as an introduction to the Special Issue on “Decolonizing and Diversifying Research in Cognitive Development.” The Special Issue comprises six articles: two articles are empirical articles that focus on executive function development in under-represented environments, two articles address barriers pathways toward behavioral change in advancing toward diversification and decolonization; and two articles focus on reconciling sampling and reporting practices with the scientific goal of generalizability. Though different lenses, each article identifies important practices and considerations for broadening the study of cognitive development to faithfully represent children’s diverse environments and trajectories via developing methods and practices in situ and sampling judiciously across diverse settings. The series culminates in a commentary via Bard and Keller, who discuss each article and articulate future pathways toward decolonization and diversification.