Oct 2026· Bulletin of The American Meteorological Society - (BAMS)· 0 citations
Abstract
CROCUS is one of four U.S. Department of Energy Urban Integrated Field Laboratories dedicated to advancing understanding of atmospheric, ecological, and hydrological processes in cities. Central to CROCUS’ measurement strategy is the Micronet – a scalable observational network designed to characterize heterogeneous urban microenvironments. The Micronet addresses the challenge of observing multiple components of the urban system (atmosphere, biosphere, hydrosphere) that operate at distinct spatial and temporal scales. To do this, it couples a three-tier sensor architecture with rugged edge-computing Waggle nodes and LoRaWAN networking to sup-port dense, spatially distributed measurements. Level 1 nodes provide core meteorological and air quality measurements. Level 2 nodes incorporate eddy-covariance flux instrumentation, laser disdrometers, and steerable infrared thermal cameras, with a variant that includes depth-resolved soil-water-heat sensors and sap-flow probes to capture vegetation processes. Level 3 nodes augment the network with remote sensing capabilities, including microwave precipitation radars and dual-polarization ceilometers. The configurable Argonne Deployable Mast provides rapid infill for targeted studies. Twelve sites are operational, three of which are integrated into AmeriFlux as urban flux sites, providing rare long-term eddy-covariance observations in urban settings. The network spans Chicago’s full spectrum of local climate zones, from tree-lined low-rise neighbor-hoods to lakefront rooftops. The Micronet demonstrates a new model for distributed urban sensing, integrating real-time data acquisition with edge processing to support multiscale environmental observations in complex urban environments. These observations support high-resolution atmospheric analyses and provide hydrologic context for urban process studies and multiscale flood-risk assessment in Chicago.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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