Workshops

The training school develops three foundations for AI in scientific computing. Daniel Bartl introduces statistical learning through high-dimensional probability, explaining how the geometry and complexity of function classes govern generalization. Stanislav Budzinskiy covers floating-point errors, deterministic and stochastic rounding, matrix multiplication, mixed precision and conditioning in neural-network training and inference. Maximilian Herde introduces neural operators and foundation models for partial differential equations, studying pretraining, scaling and transfer to new physical problems, with practical Python exercises. The school meets in person at RICAM, Science Park 2, fourth floor, Altenberger Straße 69, Linz, on 5–9 October. Monday through Thursday lectures start at 09:00 and run to 12:30, with discussion and exercise sessions generally scheduled 13:30–17:00; Wednesday has an excursion. Friday’s lectures run 09:00–11:30. Times are Europe/Vienna, CEST (UTC+02:00). The registration form still lists the Training School and requires an institutional email address. Registration is binding; participants should review the organizer’s cancellation and non-attendance policy. The event begins shortly after this listing’s publication.

This collaborative workshop examines materials and chemical approaches to clean energy, low-carbon infrastructure, resource recovery, water treatment and environmental remediation. Presentations connect emerging materials research with decarbonisation, circular use of resources and sustainable water systems. MRS Advances, African MRS and Nature Reviews Clean Technology bring together researchers working across these challenges. Online sessions take place on 7 and 8 October 2026, 09:00–12:00 US Eastern Daylight Time each day. Registration requires an MRS account. Rates: US$100 regular, US$75 MRS member, US$25 student or qualifying developing-country professional, and US$0 for qualifying developing-country students. Developing-country discounts require proof under the organizer’s World Bank income-category rules. Sessions are recorded for registrants.

Neighborhood conditions influence health and aging, but researchers can face difficulties finding contextual measures and combining them with their own studies. This practical workshop introduces NaNDA, a free archive of neighborhood measures covering the United States over several decades. Participants will work through dataset selection, geographic identifiers, matching time periods, and linkage to survey or administrative data. The programme includes a repository tour, aging-research examples, beginner and intermediate breakout groups, and discussion of participants’ data-linkage questions. Live online on 2026-10-07, 12:00–14:00 EDT (America/New_York). Registration requires a GSA member or non-member account; the fee is US$15 for members or US$25 for non-members. Annual Scientific Meeting attendance is not required.

This workshop introduces the Health and Retirement Study, a nationally representative longitudinal study of Americans older than 50. It explains the study’s complex survey design, available subject matter, and the RAND HRS resources that simplify analysis. Practical exercises then cover data structure, basic data management, and analysis using sample weights and design variables. Breakout discussions provide opportunities to ask the study team questions and consider applications to participants’ own research. The session is designed to help new users begin working with the study’s public aging data. Live online on 2026-10-14, 12:00–14:00 EDT (America/New_York). Registration requires a GSA member or non-member account; the fee is US$15 for members or US$25 for non-members. Annual Scientific Meeting attendance is not required.

Metal halide perovskites combine versatile film processing with charge transport, strong luminescence and carrier confinement. Their tunable composition and structure support research in photovoltaics, light emitters, transistors, detectors and quantum devices. This workshop examines advances and remaining problems in performance, stability, reliability and sustainability, with particular attention to scalable solar-cell manufacturing and industrial deployment. Online sessions run on 20 October, 10:00–13:00, and 21 October, 19:00–22:00, US Eastern Daylight Time. Registration requires an MRS account. Rates: US$100 regular, US$75 MRS member, US$25 student or qualifying developing-country professional, and US$0 for qualifying developing-country students. Developing-country discounts require proof under the organizer’s World Bank income-category rules. Sessions are recorded for registrants.

NIH investigators will examine gaps in human-based models for basic biomedical research, disease mechanisms and translation. The programme covers human development and evolutionary specializations, transformative experimental models, integration of laboratory and computational methods including AI, and disease applications. Talks address stem cells, organoids, tissue architecture, vascularized models, mechanistic digital twins and reproducible disease platforms. Session discussions conclude with research priorities and next steps; medical phantom demonstrations illustrate imaging validation. In-person attendance: NIH Neuroscience Center Building, 6001 Executive Blvd, Rockville, MD 20852. October 22: 08:30–18:00 EDT; October 23: 08:30–12:30 EDT (America/New_York). The agenda includes a day-two introduction at 08:25 and remains subject to change. Register by October 13 at 17:00 EDT; valid identification is required. Attendees arrange meals at their own cost.

This workshop connects mathematical and theoretical neuroscience approaches to the dynamics of densely connected recurrent spiking networks. Mean-field methods link individual-neuron dynamics with population behaviour, while low-dimensional collective dynamics and low-rank connectivity provide complementary descriptions informed by experiments and simulations. Researchers with mathematical and physics backgrounds alternate presentations to compare these perspectives. Public research lectures run from Monday afternoon through Wednesday, followed by doctoral tutorials on Thursday and Friday at the Bernoulli Center, EPFL, Lausanne. Registration begins at 13:30 on 2 November, with the introduction at 13:45 and talks from 14:00. Tuesday and Wednesday lectures and Thursday and Friday tutorials start at 09:00. Times are Europe/Zurich, CET (UTC+01:00). Seats are limited; researchers from outside EPFL pay CHF90 and commit to attending the lecture sessions. Tutorials are restricted to PhD students. Separate registration forms for doctoral students and other researchers are linked on the official workshop page. Preparation assumes mathematics or physics at master’s level and familiarity with computational neuroscience.

This RICAM workshop examines the numerical foundations of reliable deep-learning computation. Low-precision and mixed-precision arithmetic, quantization and parallel GPU computation enable larger models and deployment on constrained devices, while introducing questions about error, stability and performance. Researchers from theoretical and applied communities will compare methods for stable training and efficient inference and identify directions for further work. The programme brings together expertise in numerical analysis, machine learning and hardware-aware computation. The in-person workshop runs on 2–6 November at RICAM, Science Park 2, fourth floor, Altenberger Straße 69, Linz. Monday registration and welcome run 14:00–14:40, followed by talks until 17:00. Tuesday through Friday sessions begin at 09:00; Friday’s programme ends at 11:40. Times are Europe/Vienna, CET (UTC+01:00). Register through the special-semester form, select Workshop 2 and Regular Participant, and use an institutional email address to verify affiliation. Registration is binding; the organizer asks for cancellation at least one week before the workshop and states that unreported non-attendance can exclude participants from future events.

This online workshop connects computational neuroscience, machine learning and neuromorphic engineering through research on spiking neural networks. It examines artificial and biologically plausible learning algorithms and how trained spiking circuits can reveal principles of neural processing. Two afternoons combine four invited talks, seven contributed-talk slots, flash presentations and a virtual poster session, with time for discussion. Invited speakers are Susanne Schreiber, Mihai Petrovici, Eugene Izhikevich and Giulia D’Angelo. The programme begins at 14:00 CET on both 4 and 5 November; the first day reaches posters at 17:30, and the second concludes with remarks at 17:25. Attendance is free with registration to receive streaming links. The abstract deadline was 25 September 2026. Ticket sales end on 4 November 2026.

Researchers from neuroscience, engineering and clinical practice will examine technologies for understanding brain function and treating disorders. Three tracks cover emerging neural recording and imaging methods, machine learning and brain-inspired computation, and clinical translation through neuroprosthetics, neuromodulation and brain-computer interfaces. The programme connects multiscale measurement, interpretable models, multimodal data and biomarkers with deployment challenges. Panels consider ethics, standards, clinical needs, careers and funding; posters, live demonstrations, exhibits and an aging-brain symposium support exchange. In-person at the National Housing Center, 1201 15th St NW, Washington, DC 20005, November 11–13. All times are US Eastern (America/New_York): November 11 registration 12:00, activities 13:00; November 12–13 registration 08:00, sessions 08:30; closing events end November 13 at 18:00. Regular fees: IEEE members USD 425, non-members USD 475; students USD 50/75 respectively. Early rates ended October 1. General poster/demo abstracts close October 19. Member and non-member registration is available through the event website.

The second M4H workshop brings mathematics, data science and medical research together to improve care. Mathematical models, numerical methods, statistics and machine learning support precision medicine, healthcare-resource allocation and multimodal patient-data analysis. Keynotes examine evolutionary cancer treatment and model-driven digital twins, longitudinal health records, topology and geometry for cyclic gene expression, statistical approaches to individual mental-health variation and patient-specific blood-flow simulation. Panels connect these methods with cardiovascular medicine, health data science and sustainable brain health. The Department of Mathematics at Politecnico di Milano hosts the in-person workshop on 11–13 November 2026 in Aula Rogers, Building 11, Via Ampère 2, Milan. Posters use Aula Vetrata, Trifoglio Building 13, Via Bonardi 9. The programme runs 11 November 14:00–19:30, 12 November 09:00–18:10 and 13 November 09:00–16:00. Times are Europe/Rome, CET (UTC+01:00). Registration is free and open until 15 October through the form on the official workshop page. Speaking slots are invitation only; general attendance is open, and participants may submit poster abstracts.

The workshop brings senior and early-career researchers together to examine emerging challenges in neurotechnology, neural engineering, bioelectronics and biological interfaces. Invited talks cover materials and devices for neuroelectronics and bioinspired materials for tissue engineering. Editor panels, an IDEA League focus session and posters provide opportunities to compare approaches and develop collaborations. A poster award is sponsored by Advanced Electronic Materials. In-person at the Central Library, Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich, Germany. Starts November 17 at 09:00 and ends November 18 at 13:30, Europe/Berlin (CET). Apply by October 20 through the event registration form. Participation requires organizer approval; the form includes an Other affiliation option. Fees are not stated on the registration page.

The NeuralNet minischool combines theory with practical work on participants’ laptops to develop skills in extracting and interpreting neuronal spikes. Spike-sorting sessions introduce available methods and the SpikeInterface framework, then cover preprocessing, running sorters, postprocessing, automatic and manual curation, and visualization. Participants can bring their own data for supervised analysis. The final morning addresses spike-train methods, including firing rates, population representations, waveform and cell-type analysis, connectivity through cross-correlograms, and decoding, with exercises using an open DANDI dataset. Pierre Yger, Pierre Le Merre and Samuel Garcia teach the programme. In-person sessions take place at the Saint Germain Campus, 45 rue des Saints-Pères, Paris: 23 November 14:00–18:00; 24 November 09:00–12:00 and 14:00–18:00; 25 November 09:00–12:00. Times are Europe/Paris, CET (UTC+01:00). The minischool itself is free, but registration for the paid main NeuralNet meeting is required first. Use the separate minischool registration form linked from the official page; main-meeting registration remains open until capacity is reached.

Age, calendar period, and birth cohort can be difficult to separate when studying change over time. This workshop introduces approaches to their analysis in longitudinal aging research and explains how research design and data structure affect interpretation. It covers accelerated longitudinal panels, hierarchical age-period-cohort growth models, coordinated analysis across studies, synthesized cohort-sequential designs, and study heterogeneity. Empirical examples connect these methods to practical research questions. Interactive lectures, polls, breakout discussions, and moderated questions support applying the methods to participants’ studies. The session builds on the society’s 2025 coordinated-data-analysis workshop. Live online on 2026-12-08, 12:00–14:00 EST (America/New_York). Registration requires a GSA member or non-member account; the fee is US$15 for members or US$25 for non-members. Annual Scientific Meeting attendance is not required.

Dissemination and implementation research examines how effective interventions reach clinical practice and remain useful in real settings. This introductory workshop applies those methods to aging research, addressing the gap between research findings and everyday care. Participants will examine conceptual frameworks, implementation strategies, study designs, and outcome measures, including implications for equitable access and sustainability. Small-group work, live polls, and moderated questions provide opportunities to apply the concepts. Attendees are encouraged to identify a current or planned project before the workshop and use it during the practical discussions. Live online on 2026-12-17, 12:00–14:00 EST (America/New_York). Registration requires a GSA member or non-member account; the fee is US$15 for members or US$25 for non-members. Annual Scientific Meeting attendance is not required.

Workshop bringing together researchers working on AI for learning dynamics from data, with a special focus on information-theoretic methods. Topics include predictive information, the information bottleneck, latent-variable models, entropy and mutual-information estimation, world models of biological systems, and connections to dynamical systems and control theory. The workshop is part of the six-week NITMB program “Image-Based Scientific Machine Learning for Theories of Biological Dynamics Across Scales” (February 1–March 12, 2027). Program: AI in Biological Dynamics Scientific Focus — details for the six-week NITMB program: https://www.nitmb.org/ai-in-biological-dynamics-scientific-focus Application deadlines: November 9, 2026 for applicants requesting travel and lodging support; December 8, 2026 for local applicants. Students, postdocs and early-career researchers are encouraged to apply. See the Application tab on the workshop website.