Conferences  >  Life Sciences  >  Biology  >  United States

American Institute of Mathematics, Pasadena, California

This workshop, sponsored by AIM and the NSF, will focus on advancing mathematical modeling frameworks and theory to address the urgent challenges posed by declining pollinator populations. Insect pollination is vital to terrestrial ecosystems and agriculture, with honeybee pollination in the United States alone valued at over $12 billion annually. Yet, substantial evidence shows that pollinator populations are in sharp decline, with honeybee colony losses reaching unprecedented levels — threatening agricultural sustainability and food security. These declines result from complex interactions among environmental factors (e.g., shifting climate patterns) and biological processes (e.g., exposure to agrochemicals such as insecticides and fungicides, parasitic infections, diseases, and habitat degradation).

Applied Mathematics (in general),    Systems Biology and Computational Biology

The Astrobiology Science Conference (AbSciCon) brings the astrobiology community together every two years to share research, collaborate, and plan for the future. AbSciCon is a community-organized conference that provides a forum for reporting on new discoveries, sharing data and insights, advancing collaborative efforts and initiating new ones, planning new projects, and educating the next generation of astrobiologists.

Astronomy, Astrophysics and Cosmology,    Geophysics and Geology

Institute for Computational and Experimental Research in Mathematics

Mathematical population biologists study of a wide array of biological phenomena—such as the spread of alleles in a populations, the coexistence of competing species within ecosystems, the branching of phylogenetic trees, the transmission dynamics of infectious diseases, and the demographic history of populations—that are typically studied across distinct biological subfields, including demography, ecology, epidemiology, and population genetics. Although these phenomena are often represented in separate scientific communities, they are united by a core set of mathematical and computational modeling philosophies and approaches. Recent advances in computation and data-gathering technologies have greatly increased our power to test hypotheses about ecological and evolutionary processes and to make detailed inferences about the structure of populations. These advances have facilitated the development of new models for individuals and populations in space and over time, including models that relax some of the core assumptions underlying much of previous theory.

The goal of this workshop is to bring together researchers in population biology who draw on diverse areas, including stochastic processes, mathematical statistics, dynamical systems, combinatorics and, increasingly, computational modeling and simulation, to share the latest mathematical advances and tools across subfields. This exchange of approaches will reveal synergies and spark new research directions.

Phone: [4018635030];     Email: info@icerm.brown.edu

Sciinov Group welcomes you to the “2nd Edition: Global Microbiome Congress (GMC 2026)” – a Hybrid Event taking place on June 15–16, 2026, in Boston, Massachusetts, USA. This congress is designed to allow participants to join In-Person in Boston or Virtually from Home or Office.

Phone: [+1 732 526 1166];     Email: vallala@sciinovhealth.com

Microbiome and Mental Health, Microbiome–Cancer Interactions, Microbiome and Infectious Diseases, The Future of Microbiome Startups, Therapeutic & Clinical Applications, Microbiome and Immune System Regulation, Microbiome Therapy for Digestive Disorders, Diet–Microbiome Interactions, Microbiome Gut–Brain Axis

Geographic Information System (GIS), Geoinformatics, Earth Observation,    Environmental Chemistry and Geochemistry

Keystone Symposia

Biological discovery is undergoing a transformation driven by the convergence of advanced imaging technologies, data science, and computational modeling. This Keystone Symposium will address the critical need to integrate heterogeneous imaging modalities, aided by computational and Deep Learning-driven approaches, to derive mechanistic and predictive insights from complex biological data. The meeting aims to foster dialogue among imaging scientists, computational biologists, data scientists, and systems biologists to define emerging frontiers in data integration, standardization, accessibility, and visualization. Previous conferences have often centered on individual structural biology techniques but have rarely emphasized interdisciplinary approaches. In contrast, this meeting contains a carefully curated program that prioritizes research presentations explicitly focused on integrative approaches, ensuring that the symposium moves beyond acknowledgement to actionable convergence.

Biochemistry, Advanced Imaging, Computational Biology, Structural Biology, Data Science, Artificial Intelligence, Deep Learning, Interdisciplinary Science, Data Integration, Predictive Biology

Molecular Biology,    Systems Biology and Computational Biology

Keystone Symposia

This meeting will present work that encompasses the influence of hormones on driving cancer across the lifespan, through influences on aging, immunity, and other factors. Many current studies in aging and cancer do not adequately consider the impact of hormones, hormone receptors, and changing hormone levels as drivers of these processes. This meeting will assemble researchers across the fields of endocrinology, aging, and oncology to discuss the interplay of these multiple factors and how they should be considered when diagnosing and treating cancers. The meeting will span basic, translational, and clinical research to drive bench to bedside and bedside and back insights that will advance our understanding of cancer etiology, prevention, and treatment approaches. The meeting will bridge interdisciplinary groups of scientists, population scientists, and clinicians, allowing a unique blend of discovery in the hormones over the lifespan, aging, immunity, and cancer.

Cancer, Hormones, Endocrinology, Oncology, Aging, Immunology, Bench to Bedside, Clinical Research, Translational Research

Oncology,    Immunology and Allergic Diseases

Keystone Symposia

Sensory Systems: Interoception and Exteroception brings together leaders across neuroscience, physiology, and systems biology to explore how organisms sense, integrate, and respond to both the external world and internal bodily states. From exteroceptive senses such as touch, taste, olfaction, vision, and hearing to rapidly advancing insights into interoception, this meeting highlights how sensory systems shape perception, behavior, homeostasis, and disease. The program features an emphasis on interoception – how signals from organs such as the gut, heart, and lungs are detected, encoded, and interpreted by the nervous system – revealing new frameworks for understanding behavioral and physiological responses. Sessions also explore somatosensation, chemosensation, mechanosensation, and multisensory integration, linking foundational mechanisms to organism-level outcomes. This meeting will be held jointly with Neurobiology of Appetite Control.

Neurobiology, Neuroscience, Sensory Systems, Molecular Biology, Emerging Technologies,

Molecular Biology,    Neurology

Keystone Symposia

The primary goal of the “Neuronal Control of Appetite” meeting is to catalyze transformative progress in deciphering the neural mechanisms that govern appetite, with a focus on driving innovative research, cross-disciplinary collaboration, translational insight, and industrial innovation. In addition to challenging entrenched models of homeostatic control by highlighting emerging evidence of dynamic, context-dependent neural modulation, the meeting will spotlight the growing role of biotechnology and pharmaceutical initiatives aimed at developing novel diagnostics, therapeutics, and digital tools to combat obesity and metabolic disorders. This meeting is deliberately designed to convene a diverse array of participants, including systems and behavioral neuroscientists, endocrinologists, computational modelers, clinical researchers, biotech innovators, and industry leaders. By bridging traditionally siloed domains — such as neural circuit mapping, metabolic disease modeling, and therapeutic discovery — the meeting will encourage the synthesis of ideas, resources, and techniques across fields. This meeting will be held jointly with Sensory Systems: Interoception and Exteroception.

Neurobiology, Neuroscience, Metabolism, Biotechnology, Pharmaceutics, Obesity, Metabolic Disease, Metabolic Disorders

Human Physiology and Metabolism,    Neurology

Keystone Symposia

Stroke and traumatic injury are common neurologic disorders and the leading causes for adult-onset disability. Development of therapeutics to improve recovery has been hindered due to a limited understanding of how circuits within the central nervous system (CNS) are affected by injury. Technological advances have enabled interrogation of the CNS with unprecedented resolution. These are being applied to stroke and trauma survivors and to animal models, allowing for a critical re-appraisal of proposed mechanisms of recovery. This knowledge is crucially important as neuromodulation therapies are available for clinical trials, but when and how to apply these to patients are not well understood. This conference will bring together scientists working across species, using diverse approaches, to understand the mechanisms underlying dysfunction and recovery after stroke or injury to the brain or spinal cord. This conference will be unique in its focus on basic and translational science of CNS recovery that brings together researchers working across many disease models and injury types. This meeting will be held jointly with Neurodevelopmental Disorders: Mechanisms and Therapeutics.

Neurobiology, Neuroscience, Brain Injuries, Spinal Cord Injuries, Regeneration and Repair in the Nervous System, Stroke, Translational Research, Neuro Modulation, Neuro Repair, Neuro Tech, Neuroplasticity, TBI Research

Molecular Biology,    Neurology