Informatics

ROS developers and robotics researchers will exchange methods for building and deploying robot software. The programme combines technical talks, practical workshops, demonstrations and research-facility tours, with sessions on tactile sensing and cross-sensor learning, ROS 2 navigation, visual SLAM, humanoid teleoperation, impedance control for multi-robot manipulation, underwater simulation and industrial automation. Keynotes feature Lars Grimstad of Saga Robotics and Adam Norton of NERVE, whose session examines reproducing, integrating and benchmarking open-source grasping and manipulation systems. The three-day in-person event takes place at the Pollock Estate in Edinburgh. Tours and networking begin on 21 October; workshops start at 09:30 on 22 October; the main conference opens at 09:30 on 23 October and closes at 18:00. Times are Europe/London, BST (UTC+01:00). Late registration closes on 14 October: £390 professional or £130 student, including conference sessions, selected tours and workshops, refreshments and social events. Places and workshop choices are limited and allocated first come, first served. Book through the linked University of Edinburgh ePay page.

The 36th Astronomical Data Analysis Software and Systems conference brings together developers and users of astronomical software, algorithms and data systems. ICRAR hosts the meeting with SKAO, CSIRO and AusSRC. The programme includes research presentations, tutorials and community discussions. General registration remains open until 15 October 2026, and poster abstracts close on 1 October; the early-bird period has ended. Online registration is also available.

Develop mathematical algorithms and research software for the Magma computer algebra system in John Voight’s team. The Simons Foundation-supported collaboration with MIT includes theoretical and algorithmic publications, research datasets, and exploration of AI for mathematical programming, verification, documentation and software interaction. Two full-time positions are advertised, each lasting three years. Annual salary is AUD 113,634–157,381 plus 17% superannuation.

AMIA’s 2026 Annual Symposium examines how informatics can help health systems learn from data and improve patient outcomes. Its programme connects clinical informatics, translational bioinformatics and clinical research informatics through peer-reviewed papers, panels, workshops and posters. Topics include ambient AI, clinical decision support, real-world evidence, implementation science and governance, with attention to evaluating clinical data and translating research into individual and population care. Participants include clinicians, researchers, computer scientists, health IT specialists and policymakers. Programme leadership includes Victoria Tiase (University of Utah) and Adela Grando (Arizona State University); James Cimino (University of Alabama at Birmingham) presents an informatics year-in-review keynote. The meeting takes place in person November 7–11, 2026 at Hilton Anatole, 2201 Stemmons Freeway, Dallas, TX 75207. All times are Dallas local time, America/Chicago (CST, UTC−06:00 on these dates). Saturday workshops run 08:30–12:00 and 13:00–16:30. Sunday workshops run 08:00–11:30, followed by the opening plenary at 13:30–15:00. Scientific sessions start at 08:00 on Monday, Tuesday and Wednesday; Wednesday’s closing session is 11:15–12:15. Consult the linked official programme for individual sessions. Public registration is open to members and nonmembers and requires an AMIA account. Full registration includes workshops, with designated affiliate and selected special events excluded. Advance pricing through October 5 is USD 1,595 for nonmembers, USD 1,140 for professional members and USD 685 for student/trainee members; the corresponding standard rates are USD 1,770, USD 1,265 and USD 760. Some affiliate events and roundtables require separate invitations or registration.

When meta-research (research on research) makes an observation or points out a problem (such as a flaw in methodology), the project should be repeated later to determine whether the problem remains. For this we need meta-research that is reproducible and updatable, or living meta-research. In this talk, we introduce the concept of living meta-research, examine prequels to this idea, and point towards standards and technologies that could assist researchers in doing living meta-research. We introduce technologies like natural language processing, which can help with automation of meta-research, which in turn will make the research easier to reproduce/update. Further, we showcase our open-source litmining ecosystem, which includes pubget (for downloading full-text journal articles), labelbuddy (for manually extracting information), and pubextract (for automatically extracting information). With these tools, you can simplify the tedious data collection and information extraction steps in meta-research, and then focus on analyzing the text. We will then describe some living meta-research projects to illustrate the use of these tools. For example, we’ll show how we used GPT along with our tools to extract information about study participants. Essentially, this talk will introduce you to the concept of meta-research, some tools for doing meta-research, and some examples. Particularly, we want you to take away the fact that there are many interesting open questions in meta-research, and you can easily learn the tools to answer them. Check out our tools at https://litmining.github.io/

The INCF TrainingSuite is a collection of three open access platforms that aims to facilitate self-guided study in different sub-specialisms of neuroscience, data science, and open science. These platforms, presented below, form a framework for integrating training materials and making them FAIR: Findable, Accessible, Interoperable, and Reusable. INCF TrainingSpace (training.incf.org) is an online hub for making neuroscience educational materials across the sub-specialisms of neuroscience more accessible to the global community. It provides users with access to: multimedia educational content, study tracks, tutorials on tools and open science resources, and a Q&A forum. All courses and conference lectures in TrainingSpace include a general description, topics covered, links to prerequisite courses if applicable, and links to software described in or required for the course, as well as links to related content. Study Tracks, curated by the INCF Training and Education Committee, combine lectures and courses from multiple content providers and are arranged in a logical order for learning (from introductory to in-depth). All content in TrainingSpace is released under open access licenses, so content may be used freely by trainers to include in their training activities. Since March 2019, TrainingSpace has received over 62,000 unique visitors conducting 216,705 page views. Neurostars (neurostars.org) is a Question & Answer (Q&A) forum that serves the INCF network and the global neuroscience community as a platform for knowledge exchange between neuroscience researchers at all levels of expertise, software developers, and infrastructure providers. Neurostars has been adopted by several other large neuroscience initiatives such as the Neuromatch Academy, Neuro Hackademy, and the Organization for Computational Neuroscience (OCNS). Several community tools - among them Nipype, SPM, fMRIprep, Nilearn and Freesurfer - use Neurostars for providing user support. Since March 2019, Neurostars has received over 268,000 visitors conducting over 1.4 million pageviews. KnowledgeSpace (https://knowledge-space.org) is a community-based encyclopedia for neuroscience that links brain research concepts to the data, models, and literature that supports them, demonstrating how SBPs can facilitate linking brain research concepts with data, models and literature from around the world. It provides users with access to over 1.000.000 publicly available datasets as well as links to literature references and scientific abstracts. The framework combines the general descriptions of neuroscience concepts found in wikipedia with more detailed content found in NeuroLex and integrates them with the latest neuroscience citations found in PubMed and data found in some of the world’s leading neuroscience repositories. KnowledgeSpace is an open project led by INCF, HBP, and NIF and welcomes participation and contributions from members of the global research community.

This webinar will focus on spike sorting analysis with SpikeInterface, an open-source framework for the analysis of extracellular electrophysiology data. After a brief introduction of the project (~30 mins) highlighting the basics of the SpikeInterface software and advanced features (e.g., data compression, quality metrics, drift correction, cloud visualization), we will have an extensive hands-on tutorial (~90 mins) showing how to use SpikeInterface in a real-world scenario. After attending the webinar, you will: (1) have a global overview of the different steps involved in a processing pipeline; (2) know how to write a complete analysis pipeline with SpikeInterface.

Explore how digital health and AI can improve health systems across Africa. The programme examines safe and trustworthy clinical AI, interoperable health data, digital public-health surveillance, and the translation of research into care. Sessions address maternal and youth mental health, primary-care capacity, workforce development, health-data governance and financing sustainable implementation. A session led by Morris Nguyen of Predicate AI Labs examines physiological intelligence for earlier neonatal sepsis detection, on 30 September from 14:00 to 15:00 in MH2B. The wider programme combines plenaries, technical sessions, workshops and discussions of evidence, adoption and scale. The summit takes place at Kigali Convention Centre, Rwanda, from 30 September to 2 October 2026. All programme times are Central Africa Time, CAT (GMT+2). The first day opens with a performance at 08:30 and the official opening at 09:00; the closing ceremony on 2 October is scheduled for 12:00–13:00. Public registration is open through the summit portal. The Delegate pass is USD 149 for selected sessions and tracks; Gold is USD 499 for full sessions, tracks and exhibition; VIP is USD 799 with additional benefits. Check the programme against your chosen pass. Some workshops and roundtables are invitation-only. Access to Markets is a separate invitation-only co-located event; selecting it does not guarantee entry. Complimentary passes require approval, and field trips have limited availability.

Reproducible research can turn scientific observations into reliable, reusable knowledge. This talk presents ReproNim and related community infrastructure for sharing data and computational workflows. It examines versioned, re-executable analysis at scale using OpenNeuro, together with harmonization and querying across dozens of research sites. ReproLakes and ReproPonds combine public and private metadata stores with FAIR and reproducible practices to improve discovery and reuse. The discussion addresses both technical obstacles and research-culture challenges, offering practical approaches for making shared scientific resources more useful and accelerating cumulative discovery.

Jie Yang presents BRIDGE, a multilingual evaluation benchmark built from real clinical tasks and more than one million samples derived from electronic health records. The benchmark addresses the gap between simplified examination-style tests and the complexity of clinical data, while enabling comparison of rapidly changing language models. Evaluation of 95 models involved over 24,000 experiments and 39 million predictions. Results vary substantially by model family, task and language, with some open-source systems matching proprietary models. The study also finds that chain-of-thought prompting frequently reduces accuracy on these tasks and examines stigmatizing language produced during model reasoning at large scale.