Category: biology

  • Space Mirrors?!

    For tens of thousands of years, humanity has looked up at the stars not for illumination, but for guidance. Before compasses and charts, the stars led the way for countless generations of explorers. From Phoenicians sailing beneath the Pleiades to Odysseus following the Great Bear home, and from Polynesian navigators crossing the Pacific to caravans trading across great deserts, we have relied on the cosmos to provide direction and order to our world.

    Then, suddenly, in 1957, the cosmos changed forever. Sputnik left humanity’s mark in the night sky, collapsing the distance of the heavens from the stars’ light-years to mere light-milliseconds above us. Since then, there has always been an artificial satellite in orbit. For more than a quarter-century, there has also been a continuous human presence aboard the International Space Station, bringing humanity itself into the heavens.

    Space debris as of January 1, 2019. Photo: NASA Orbital Debris Program Office (ODPO)

    But humanity’s presence in orbit has developed from exploration into chaos. As of July 2026, more than 16,000 active satellites are orbiting Earth, accompanied by thousands of defunct payloads, rocket bodies, and pieces of catalogued debris. Since 2024, SpaceX alone has more than doubled its Starlink constellation from 5,000 satellites to over 10,300, and they are now applying to launch up to 100,000 moreSpace debris increasingly threatens operating spacecraft and is an especially serious concern for crewed missions.

    This was evident while camping a few weeks ago. Where the night sky once appeared static—an eternal reminder of our insignificance—it now appeared in constant motion, populated with our own artifacts. It’s a fundamental shift in human perspective, our impact on the universe impossible to ignore—if we remember to look.

    … and then there are the space mirrors.

    Photo: Reflect Orbital

    On July 9, 2026, the FCC authorized the radio communications needed to deploy and operate Reflect Orbital’s Eärendil-1 demonstration satellite, along with its orbital debris mitigation plan. Upon launch, the satellite will deploy a 60-foot-by-60-foot “space mirror” to direct reflected sunlight onto a ground footprint approximately 5 kilometers in diameter. The company envisions using such technology to extend solar-energy production, support agriculture and emergency operations, and potentially replace some conventional streetlighting. While the idea sounds like science fiction, the Soviet Znamya 2 satellite was a successful test of the concept in February 1993. The FCC approved a single demonstrator sattelite, but Reflect Orbital plans for a 4,000 satellite constellation by 2030.

    The proposal, however, raises substantial environmental and scientific concerns. Artificial light at night is known to disrupt circadian and seasonal timing across a wide range of species. It can alter broader ecosystem processes, including migration, reproduction, pollination, and predator–prey relations. Astronomers warn that even a single reflector could interfere significantly with ground-based astronomy by saturating sensitive detectors, contaminating exposures, increasing localized sky brightness, and disrupting time-sensitive observations. A large constellation would make avoidance increasingly impractical.

    The FCC concluded that its authority in this proceeding extended principally to radiofrequency operations and orbital-debris mitigation, not to the reflector’s broader environmental effects. Under the National Environmental Policy Act (NEPA), the Federal Aviation Administration (FAA) conducts environmental reviews associated with commercial launch and reentry licenses, but those reviews do not necessarily encompass the in-orbit environmental effects of a payload. Compounding the oversight challenges, Executive Order 14335 (Enabling Competition in Commercial Spaceflight) directed federal agencies to expedite environmental reviews, identify activities that are not subject to NEPA, and expand the use of categorical exclusions. Taken together, these limitations reveal a potential regulatory gap for novel activities, such as space-based illumination.

    International law offers only limited recourse. The 1967 Outer Space Treaty makes states internationally responsible for their national space activities and requires the authorization and continuing supervision of private operators. It also permits states to request consultations concerning activities that may cause harmful interference with the peaceful exploration and use of outer space. The treaty, however, establishes no international regulator or direct environmental review mechanism for evaluating effects on Earth from a project such as this.

    How do we respond? The available options are limited, but they are not exhausted. Congressional action offers the clearest path toward a lasting solution. Contact your representatives and senators and ask them to investigate this regulatory gap for environmental impacts of space activities and establish enforceable protections for the night sky, biodiversity, and astronomy. DarkSky International, Earthjustice, and other coalition partners are currently evaluating available legal and policy options to oppose a broader constellation of space mirrors. Supporting those efforts, sharing accurate scientific information, and building sustained public pressure are crucial to ensure this demonstration doesn’t act as a precedent for a much larger constellation.

    The Milky Way, Aurora Borealis, and Andromeda Galaxy over Telluride, Colorado. A function of our dark skies. Photo: Exploring the Frontier

    Our night skies seem permanent, but the ancient order of the cosmos can quickly become chaos. We must fight the space mirror project for the sake of our planet and the stars that have always guided us home.

  • Speciation and Information Theory

    For the past two semesters, I’ve been doing some exploratory work marrying speciation with information theory in the framework of the Polyworld artificial life simulator. The simulation gives us a nice framework for mathematically “pure” evolutionary theory and exploration of neural complexity. We’ve applied clustering algorithms to the genetic information, revealing evidence of both sympatric and allopatric speciation events. The key algorithmic intuition is that genes which are highly selected for will conserve, while those which are not will descend to a random distribution (and thus high entropy), so each dimension (gene) can be weighted by its information certainty to alleviate the curse of dimensionality.

    The work was accepted as a poster and extended abstract for the Genetic and Evolutionary Computing Conference (GECCO), and was accepted as a full paper for the European Conference on Artificial Life (ECAL). The full paper is substantially revised from the initial GECCO submission, and provides an introduction to several problems of biological, computational, and information theoretic importance. The visualizations, including several videos showing the cluster data, were especially fun to create, and I’m proud of the finished product.

    There are still several more research directions from this work: the allopatric and sympatric effects have not been differentiated, only one environment was analyzed (consistent with past work on evolution of complexity), the clustering algorithm’s thresholds were not explored for hierarchical effects, alternate clustering algorithms were not explored (future open-source project for me: clusterlib), … Still, the present work is encapsuled, the source is in the Polyworld trunk, and it was accepted for publication.

    Abstract, citation, and paper follow.

    Complex artificial life simulations can yield substantially distinct populations of agents corresponding to different adaptations to a common environment or specialized adaptations to different environments. Here we show how a standard clustering algorithm applied to the artificial genomes of such agents can be used to discover and characterize these subpopulations. As gene changes propagate throughout the population, new subpopulations are produced, which show up as new clusters. Cluster centroids allow us to characterize these different subpopulations and identify their distinct adaptation mechanisms. We suggest these subpopulations may reasonably be thought of as species, even if the simulation software allows interbreeding between members of the different subpopulations, and provide evidence of both sympatric and allopatric speciation in the Polyworld artificial life system. Analyzing intra- and inter-cluster fecundity differences and offspring production rates suggests that speciation is being promoted by a combination of post-zygotic selection (lower fitness of hybrid offspring) and pre-zygotic selection (assortative mating), which may be fostered by reinforcement (the Wallace effect).

    Jaimie Murdock and Larry Yaeger. Identifying Species by Genetic Clustering. In Proceedings of the 2011 European Conference on Artificial Life. Paris, France, 2011. [paper]

  • Two New Publications

    This past week brought two publication deadlines, a conference submission deadline, and preparation for a software demo at Harvard. Needless to say, I am exhausted, but it was well worth the effort.

    The first publication is a 2-page summary of work I’ve been doing with Prof. Larry Yaeger looking at speciation mechanisms in artificial life simulations. This was a condesnation of a paper submission for the Genetic and Evolutionary Computing Conference, and I’m really pleased with how much we were able to squeeze in. Abstract, citation, and link follow:

    Artificial life simulations can yield distinct populations of agents representing different adaptations to a common environment or specialized adaptations to different environments. Here we apply a standard clustering algorithm to the genomes of such agents to discover and characterize these subpopulations. As evolution proceeds new subpopulations are produced, which show up as new clusters. Cluster centroids allow us to characterize these different subpopulations and identify their distinct adaptation mechanisms. We suggest these subpopulations may reasonably be thought of as species, even if the simulation software allows interbreeding between members of the different subpopulations. Our results indicate both sympatric and allopatric speciation are present in the Polyworld artificial life system. Our analysis suggests that intra- and inter-cluster fecundity differences may be sufficient to foster sympatric speciation in artificial and biological ecosystems.

    Jaimie Murdock and Larry Yaeger. Genetic Clustering for Species Identification. In Proceedings of the Genetic and Ecolutionary Computation Conference (GECCO) 2011. Dublin, Ireland, 2011. [paper]

    The second publication is an expansion of the work on ontology evaluation presented last year at the 2010 International Conference on Knowledge Engineering and Ontology Development (KEOD) in Valencia, Spain. We’ve completely rewritten the section on our volatility score, and tightened up the language throughout. The 20-page behemoth will be published as a chapter in an upcoming volume of Springer-Verlag’s Communications in Computer and Information Science (CCIS) series. Abstract, citation, and link follow:

    Ontology evaluation poses a number of difficult challenges requiring different evaluation methodologies, particularly for a "dynamic ontology" generated by a combination of automatic and semi-automatic methods. We review evaluation methods that focus solely on syntactic (formal) correctness, on the preservation of semantic structure, or on pragmatic utility. We propose two novel methods for dynamic ontology evaluation and describe the use of these methods for evaluating the different taxonomic representations that are generated at different times or with different amounts of expert feedback. These methods are then applied to the Indiana Philosophy Ontology (InPhO), and used to guide the ontology enrichment process.

    Jaimie Murdock, Cameron Buckner and Colin Allen. Evaluating Dynamic Ontologies. Communications in Computer and Information Science (Lecture Notes). Spencer-Verlag. 2011. [chapter]