R.A.V.E.N. Research Labs (Rare Astronomical-object Variability Exploration Network) develops state-of-the-art digital tools that make astronomical research accessible to pre-university students and non-specialists of any age — changing both how astronomy is learned and who can contribute to meaningful research. Our flagship product is a high-fidelity, multidisciplinary web-based platform for the visualization and processing of large astronomical data sets. It provides an integrated research and learning environment, the first of its kind, for professional astronomers, educators and students, and requires no software installation. The platform is designed to close the gap that has traditionally separated instruction from active scientific research for students at the secondary and early-undergraduate levels. Access to astronomical research is at present constrained less by intellectual readiness than by infrastructure: archive interfaces, query languages and disciplinary conventions that are seldom taught before graduate study. By placing professional data sources, live instruments and the current literature behind interfaces that require no specialist training, and by presenting the underlying physics through computed, interactive models, R.A.V.E.N. Research Labs allows students to progress continuously from first exposure to independent inquiry within a single environment. The tools that introduce a concept also give the student direct access to real observations, enabling the examination of archival data, the vetting of candidate signals and the review of the literature on open questions. Authentic research practice is thereby integrated into the curriculum directly and at an early stage.

Mission Control is a single live wall that places alerts from observatories, spacecraft and survey brokers on an all-sky map as they arrive. The alerts cover gravitational-wave, gamma-ray, neutrino and fast-radio-burst notices; optical transients from ZTF and Rubin/LSST through the community brokers and from the Transient Name Server; near-Earth objects and comets from the Minor Planet Center; solar flares and coronal mass ejections; and newly published exoplanets. They are set against a layer of 1.8 million SIMBAD objects to 18th magnitude. Alongside the map are live and near-real-time images and video of the Sun, Earth, Mars and other bodies; the current positions of the Sun, planets, natural satellites and spacecraft. Emphasis is placed on linking events and alerts on the wall to research. Selecting an event or alert runs the analyses appropriate to its class at that moment and opens the relevant Explorers and analysis tools, the Views of that position (alert stamps; archival WISE, Pan-STARRS and TESS imagery), the archival data and the current literature for that target. Any alert can be followed: the archives are queried again for it each night until it shows no change for 30 consecutive nights.

The Classroom has twelve fields of interactive teaching material: Astronomy Fundamentals, Observation Tools, Maps, Worlds & Instruments, Perspectives, Spectra, First Principles, Almagest, Atlases, History of Astronomy, Images Gallery, and Observation Proposals and Schedules. Physical systems run live in the browser from their governing equations. The solar system map shows the current positions of over 1.58 million objects (planets, moons, asteroids and comets), computed from their published orbital elements. Planets, moons and small bodies are explored on three-dimensional globes built from spacecraft cartography. Earth’s artificial satellites are shown at their current positions, propagated from published orbital elements. Stars and galaxies are navigated in three-dimensional maps built from catalogue positions, from the stellar neighbourhood within 10 and 100 pc to the large-scale structure traced by DESI. The three-dimensional distribution of interstellar dust within 1.25 kpc is rendered as a navigable volume. The Almagest, an encyclopedia of named astronomical objects, gives each its position on the maps, its image where one exists, and its adopted values with their primary sources. The Images Gallery presents the latest released science images from observatory archives, each linked to the Explorers for its target and the archival data behind it.

The Explorers are 30 analysis tools. Eighteen open from an object name or a sky position, and twelve from an identifier of their own kind, such as an event or alert identifier. Each returns on a single page the products appropriate to its class (multi-survey light curves, catalogue cross-matches and fitted physical models), and the coverage table states the archives each explorer queries. The explorers cover transients, variable stars, microlensing events, exoplanet transits, solar-system bodies, the Sun and active galactic nuclei. Their analyses include Lomb–Scargle period searches and phase-folded light curves for eclipsing binaries, Cepheids, young stellar objects and transients; period–luminosity and period–Wesenheit tests of Cepheid candidates; point-lens fits to microlensing events; damped-random-walk models and inter-band cross-correlation lags for active galactic nuclei; dispersion-measure redshifts of fast radio bursts; P–Ṗ characteristic ages and surface magnetic fields of pulsars; and WSA-ENLIL+Cone arrival predictions for coronal mass ejections from NASA DONKI, scored against observed shock arrivals. Catalogs queries published astronomical catalogues, by object name, by sky position or by position on a planetary surface.

Multiphysics Models runs physical models of astronomical systems and compares them with archival observations. Each model is built from six nodes (parameters, physics, initial conditions, solver, study and results). The ten installed models run published research codes unmodified on the server: ellc and PHOEBE 2 for eclipsing binaries, MESA for M-dwarf evolution, starry and AltaiPony for starspots and flares, OCFit for apsidal motion and eclipse timing, COSMIC for close-binary evolution, PeTar with the AMUSE framework for star clusters, MOSFiT for supernova light curves, DustPy for protoplanetary discs and GADGET-4 for galaxy mergers with gas. The page sends the data and parameters and draws the native output the code returns. A student therefore works the model directly against the data, without installing or scripting the research codes it is built on. Each run is stored with the code version, the full set of input parameters and the unmodified output, so that it can be reproduced.

R.A.V.E.N. Research Labs was founded by yours truly, Rajiv Uttamchandani. I am an astronomer and big data scientist, currently Visiting Astronomer at Caltech and formerly Visiting Professor of Physics and Astronomy at Loyola Marymount University (LMU). What drives my work is the conviction that young students and members of the public can take part in genuine astronomical research: working with and analyzing real data from instruments, and carrying that work through to authorship of citable papers in journals.