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Building Capability in Behavioural Research Conference

    June 30 , 2026 | University of Birmingham

    Behavioural research is crucial for informing policy and practice in areas not limited to but including public health, climate change and sustainability, economic well-being, education, crime and justice, social welfare, governance and digital technology including artificial intelligence. Making advances in these areas, and improving the ways we conduct behavioural research, will depend on large-scale collaboration across disciplinary and sector boundaries, as well as developing more effective links between basic research, applied research, policy and practice.


    The Building Capability in Behavioural Research 2026 Conference will convene an interdisciplinary community of researchers, practitioners, and policymakers for a dynamic programme of discussion, exchange, and collaboration to build new networks and strengthen existing ones. The conference will include interactive sessions, keynote talks, and networking forums.


    The themes for this conference are:

    • Digital and AI

    • Environment and sustainability

    • Health


    This conference will:

    • Stimulate and support cross-sector collaboration across topics in behavioural research (government, academia, business, public and voluntary sector).

    • Increase behavioural research capability through sharing knowledge.

    • Strengthen and build the behavioural research community.



    Neural Circuits in Health & Disease Conference

      August 17 – 19 , 2026 | Irvine Marriott, Irvine, California, USA

      The 2026 Summer Conference on “Neural Circuits in Health and Disease” (August 17–19, 2026), jointly sponsored by the CNCM and the Cajal Club and co-hosted by the Max Planck Florida Institute for Neuroscience, the Center for Advanced Pain Studies, the Broad Institute, and Harvard Medical School, will be held at the Irvine Marriott (2.6 miles from UCI), located at 18000 Von Karman Avenue, Irvine, California 92612, USA. This conference will provide a platform to discuss and explore how neural circuits operate under normal conditions and in disease states—knowledge that is essential for developing innovative treatments for neurological disorders.


      The 2026 meeting topics are timely and highly significant. Dr. Gord Fishell is leading the 2026 conference organization, along with Drs. Lin Tian, Ted Price, and Xiangmin Xu. Six scientific sessions will cover: 1) Multi-omics and Multimodal Approaches to Circuit Mapping, 2) Cell-Type-Specific Tools and Circuit Dissection, 3) Emerging Technologies in Neural Recording and Imaging, 4) Circuit Mechanisms of Brain Disorders, 5) Pain, Emotion, and Motivation, and 6) Computational Neuroscience and Neural Circuit Modeling.


      In addition to the main conference proceedings, attendees will have opportunities to participate in specialized workshops. These will be held on the UC Irvine campus and will offer hands-on experiences, allowing for deep dives into specific subtopics and methodologies. Well-aligned with the NINDS mission, the conference will promote the understanding and treatment of brain disorders through basic and clinical research, and will support communication between scientists, physicians, health-care providers, and the public about neuroscience advances and brain health research progress. For the 2026 CNCM conference, the organizers aim to build upon previous scientific, educational, and science communication achievements by assembling a fresh new program with new speakers presenting cutting-edge and innovative projects, including novel topics not covered in earlier conferences or other similar events.


      The conference will therefore be an excellent opportunity for interaction amongst researchers at all career stages. Attendees are encouraged to submit abstracts, which will be selected for short talks or poster presentations. Abstracts will be included in the conference program book.



      Intervention Optimization: Science and Practice, Present and Future

        The first-ever conference on intervention optimization will take place May 18-20, 2026 in Bethesda, MD. This in-person event will bring together a diverse group of scholars to discuss intervention optimization, including the Multiphase Optimization Strategy (MOST), and to spark new collaboration across methods and application areas.


        The Agenda Will Feature:

        • The science of intervention optimization, including MOST and related frameworks

        • New experimental designs and associated methods

        • All varieties of interventions, including adaptive interventions, just-in-time adaptive interventions (JITAIs), and other intervention types

        • Implementation science

        • Decision-making to identify the optimized intervention

        • And more, including ample networking opportunities!


        Who Should Attend

        Investigators and practitioners across health, education, and social/behavioral sciences; statisticians, biostatisticians, and other methodologists; trainees; implementation partners; funders; and anyone who wants to learn more about this exciting field. Those with backgrounds in intervention optimization and MOST, and newcomers to the field are welcomed.


        Submit an Abstract

        Late-breaking work across the science and practice of intervention optimization are welcomed, including (but not limited to):

        • Multiphase Optimization Strategy (MOST) and related frameworks

        • SMARTs, micro-randomized trials (MRTs), and other experimental designs for optimization

        • Adaptive interventions and just-in-time adaptive interventions (JITAIs)

        • Methodological advances, analytics, and implementation considerations

        • Applied intervention optimization case studies and translational work


        ‍Topical Relevance: Posters must be directly relevant to intervention optimization. Submissions that do not clearly address intervention optimization will not be considered.


        ‍Scientific Rigor: Reviewers will assess the quality of the work, including the appropriateness of methods and clarity of analysis. This will be rated on a scale of 1-5.





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