- Comp-neuro - lists.cnsorg.org

Call for Applications: MSc Health Data Science at the University of Plymouth
by Vesna Vuksanovic June 17, 2025

June 17, 2025

Dear All * Apologies for cross-posting* We are pleased to invite applications for our MSc Health Data Science programme at Swansea University, UK. Our MSc programme offers a comprehensive curriculum covering key areas including Machine Learning, Health Data Modelling, Visualisation and Linkage. The programme is designed to provide the knowledge, skills and understanding that can be used across various healthcare areas and focuses on developing practical, healthcare-ready skills alongside strong theoretical foundations. Our students benefit from hands-on projects to gain relevant, transferable technical skills and software proficiency for working with and manipulating health data, and to learn how to use and apply advanced statistical and machine learning methods with real-world data. 🔗 Learn more: MSc Health Data Science - Swansea University<https://www.swansea.ac.uk/postgraduate/taught/medicine/health-data-science-…> 📅 Applications are open for both September and January intakes. For further information or specific queries, please feel free to contact me directly. We look forward to welcoming the next generation of health data scientists! Kind regards Vesna Vuksanovic, PhD, FHEA Programme Director, MSc Health Data Science Senior Lecturer Health Data Science _______________________________________________________________________________________________________________________________________________ Swansea University Medical School Data Science Building Swansea SA2 8PP UK

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CNS*2025 Workshop "Modeling extracellular potentials: principles, methods, and applications" – Speaker Lineup and Schedule
by Nicolo Meneghetti June 17, 2025

June 17, 2025

Dear Colleagues, We are pleased to announce the CNS*2025 Workshop “Modeling extracellular potentials: principles, methods, and applications” which will take place on Wednesday, July 9, 2025, in Florence, Italy. Simulating large-scale neural activity is a key step in understanding brain dynamics and in linking in silico models to experimentally measurable signals such as LFP, EEG, and MEG. These simulations, ranging from detailed biophysical reconstructions to simplified proxies, enable us to connect microscale neuronal activity with meso- and macro-scale brain signals. They offer powerful tools to interpret experimental data, refine analytical techniques, and investigate brain function. Recent developments have underscored the clinical and theoretical relevance of such models, helping to elucidate mechanisms underlying neural oscillations, excitation-inhibition balance, and biomarkers of neurological disorders including epilepsy, Alzheimer’s disease, and Parkinson’s disease. This workshop will showcase state-of-the-art methodologies, and a wide array of applications for brain signals simulation. By bringing together experts from diverse fields, it aims to foster interdisciplinary exchange and advance our understanding of both healthy and disordered brain function. Abstracts of all talks are available on the workshop website: https://nicolomeneghetti.github.io/ECP_CNS2025_Wshop/ Workshop program: 09:15 – 09:50 | Dominik Peter Koller, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany Title: "How structural connectivity directs cortical traveling waves and shapes frequency gradients" 09:50 – 10:25 | Gaute T. Einevoll, Department of Physics, University of Oslo, Oslo, Norway Title: "Modeling electric brain signals and stimulation" 10:30 – 11:00 | Coffee Break 11:00 – 11:35 | Johanna Senk, Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany Title: "Large-scale modeling of mesoscopic networks at single-neuron resolution" 11:35 – 12:10 | Pablo Martínez Cañada, Research Centre for Information and Communications Technologies (CITIC), University of Granada, Granada Title: "Inverse Modelling of Field Potentials from Simulations of Spiking Network Models: Applications in Neuroscience Research and Clinical Settings" 12:10 – 12:40 | Nicolò Meneghetti, The Biorobotics Institute, Sant’Anna School of Advanced Studies, Pisa, Italy Title: "From microcircuits to mesoscopic signals: a kernel approach to efficient and interpretable LFP estimation" 12:45 - 14.00 | Lunch Break 14:15 – 14:50 | Emily Patricia Stephen, Department of Math and Statistics, Boston University, Boston, MA, United States of America Title: "Connecting biophysical models to empirical power spectra using Filtered Point Processes" 14:50 - 15:25 | Madeleine Lowery, School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland Title: "Modelling Neural Activity During Adaptive Deep Brain Stimulation for Parkinson’s Disease" 15:30 - 16:00 | Coffee Break 16:00 – 16:35 | Meysam Hashemi, Aix Marseille University INSERM, INS, Institute for Systems Neuroscience, Marseille, France Title: "Principles and Operation of Virtual Brain Twins" 16:35 - 17:10 | Katharina Duecker, Brown University and University of Birmingham, USA/UK Title: "The Human Neocortical Neurosolver as an interactive modeling tool to study the multi-scale mechanisms of human EEG/MEG signals" We look forward to your participation in what is shaping up to be a lively and insightful workshop. With best regards, Nicolò Meneghetti and Eleonora Russo

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Gordon Research Conference in Robotics, Ventura (USA), Jan. 11-16 2026: Call for posters and participation
by Auke Ijspeert June 16, 2025

June 16, 2025

Call for posters and participation, GRC Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the Gordon Research Conference (GRC) in Robotics that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Invited speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Dan Koditschek Cecilia Laschi Tony Prescott Amanda Prorok Daniela Rus Michael Rubenstein Dorsa Sadigh Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Invited discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Call for Participation - IEEE ARSO 2025 (Osaka, Japan | July 17-19)
by nagai.yukie＠mail.u-tokyo.ac.jp June 16, 2025

June 16, 2025

Dear colleagues, (Apologies for any cross-posting.) We are pleased to announce that the 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) will be held from July 17 to 19, 2025, at JAM BASE in Grand Green Osaka, a central hub in Osaka, Japan. Early registration is open until June 21, 2025. A special public session titled "Emergence of “cohabitant” robots and their ELSI implications" will be held on July 18 from 16:40 to 18:00. This session will be conducted in Japanese (AI-powered English captions projected on-screen) and is fee of charge. We warmly invite your participation in ARSO 2025 and look forward to welcoming you in Osaka. ------------------------------------------------------------------------ 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) https://ieee-arso.org * Date: July 17th-19th, 2025 * Venue: Blooming Camp on the 3rd floor of Grand Green Osaka "JAM BASE", Osaka, Japan * Registration: https://ieee-arso.org/registration/ Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broaden their fields of application. To ensure that these impacts are positively reflected, today, we need to extend views not only on technical aspects but also on social challenges that we might face, including safety, regulation, ethics, human factors, and philosophy. The topics of ARSO 2025 include, but are not limited to the following: * Human-robot interaction in physical & psychological aspects * Safety standards for advanced robots & autonomous systems * Legal and ethical issues for advanced robots * Impact of robotics on society, e.g. robot business, marketing & economic impact * Robotics for sustainability, climate change or civil aid * Advanced industrial robots for future manufacturing * Healthcare & medical applications * Rehabilitation and transfer robotics * Service & assistance applications * Entertainment & education robotics * Robotics & autonomous driving * Bio-inspired robotics * Soft and wearable robotics Keynote Talks: 1. "The role of AI and robotics in society: Challenges and considerations" Arisa Ema (The University of Tokyo, Japan) 2. "Do robots really care?" Raja Chatila (Institut Systèmes Intelligents et de Robotique (ISIR), France) 3. "Towards ethical lethal autonomy: Are reductions in noncombatant casualties achievable?" Ronald C. Arkin (Georgia Institute of Technology, USA) General Chairs: Minoru Asada, Japan Silvia Rossi, Italy Program Chairs: Kensuke Harada, Japan Emel Demircan, USA Astrid Weiss, Austria ARSO 2025 Special Public Session "Emergence of “cohabitant” robots and their ELSI implications" https://ieee-arso.org/special-public-session/ * Date: July 18th (Fri.) 16:40 - 18:00 * Venue: Blooming Camp on the 3rd floor of Grand Green Osaka "JAM BASE", Osaka, Japan * Language: Japanese (AI-powered English captions projected on-screen) * Participation fee: free of charge * Registration: https://forms.gle/xGgycTG2rHzNJ83q7 Purpose of the session: We are now entering an era in which robots are becoming part of our homes and everyday spaces—living with us as “cohabitant robots.” These robots are not mere tools; they are increasingly viewed as companions that mediate emotional connections and relationships. Cohabitant robots have the potential to enhance our well-being by supporting the elderly emotionally, assisting children’s learning, and providing personalized engagement. At the same time, however, they also raise new social and ethical concerns, such as risks to privacy and the potential for emotional manipulation. At the 21st IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025), we are organizing—for the first time—a special session open to the general public. This commemorative session will begin with a keynote lecture by Mr. Yoichiro Masuda, a product designer at Panasonic Corporation, who led the development of the cohabitant robot NICOBO. In his talk, titled “NICOBO: Idea, Design, and Development,” he will share the story behind NICOBO’s creation and the philosophy that shaped it. Following the keynote, three expert talks will be delivered from the perspectives of roboethics, psychology, and anthropology, exploring the societal impacts and challenges posed by cohabitant robots. After the talks, a general discussion with the audience will be held. We warmly invite your questions and comments as we reflect together on how humans and robots may co-exist in the future. Program: 16:40–16:45 – Opening Remarks Tatsuhiko Inatani (Professor of Law, Kyoto University) 16:45–17:05 – Keynote Talk "NICOBO: Idea, Design, and Development" Yoichiro Masuda (NICOBO Project Leader, Panasonic Entertainment & Communication Co., Ltd.) 17:05–17:15 – Talk 1 "Rethinking Roboethics: Aesthetics of Existence, Social Transformation, and Agile Governance" Minoru Asada (Vice President, International Professional University of Technology in Osaka; Specially Appointed Professor, The University of Osaka) 17:15–17:25 – Talk 2 "Care and Learning in Human-Robot Interaction: Psychological Mechanisms and Well-Being" Hiroko Kamide (Program-Specific Associate Professor, Kyoto University) 17:25–17:35 – Talk 3 "Cultivating Polyphonic Companionship: Imperfection, Misalignment, and the Making of Robotic Intimacy in Contemporary Japan" Hirofumi Katsuno (Professor of Anthropology, Doshisha University) 17:35–17:55 – General Discussion Moderator: Tatsuhiko Inatani (Professor of Law, Kyoto University) Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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World wide VVTNS series (fifth season): Wednesday, June 18, 2025, at 11:00 am EDT| Riccardo Zecchina , Bocconi University, Milano
by David Hansel June 15, 2025

June 15, 2025

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture Riccardo Zecchina Bocconi University, Milano Local Deep Learning without Gradients in Asymmetric Recurrent Networks The lecture will be held on zoom on Wednesday, June 18, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: * We introduce a statistical physics framework for learning in neural architectures composed of single or interconnected asymmetric attractor networks. These systems can exhibit a manifold of global fixed points capable of implementing sophisticated input-output mappings, which we characterize analytically. Learning from extensive datasets is achieved through the stabilization of fixed points via a fully distributed and local learning process, implemented at the single-neuron level. This simple mechanism yields performance comparable to that of conventional feedforward deep neural networks trained using gradient-based methods. The effectiveness of the model stems from the dense and accessible manifolds of stable fixed points, which encode the internal representations of data. Unlike other approaches to deep learning without backpropagation, our method does not attempt to estimate gradients. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

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CNS*2025 Workshop "Brains and AI" – Speaker Lineup and Schedule
by Bazhenov, Maksim June 14, 2025

June 14, 2025

Dear Colleagues, We are excited to announce the upcoming CNS*2025 Workshop "Brains and AI", to be held on Wednesday, July 9, 2025, in Florence, Italy. This workshop will explore the intersection of neuroscience and artificial intelligence - bringing together researchers applying AI to brain data and those leveraging insights from neuroscience to build better AI systems. https://users.sussex.ac.uk/~tn41/CNS2025_workshop/ Advances in neuroscience techniques have dramatically increased the volume of data we can now collect from animal and human brains. However, this surge in data has introduced new challenges in extracting meaningful insights. Fortunately, these developments have coincided with breakthroughs in artificial intelligence (AI), which holds the potential to transform how we analyze and utilize scientific information. While there is significant potential here, we are just starting to figure out how to apply modern AI models to interpret and process scientific data, and significant challenges remain. The trend of applying AI to better understand the brain concurs with another reviving trend: applying knowledge from neuroscience to developing new AI. Indeed, despite the tremendous progress, the existing generation of AI shows significant limitations, including a lack of continual learning, poor generalization, dependence on enormous amounts of data for training, bias, and safety problems. These are features where the biological brain excels, highlighting the strong need to learn once more from neuroscience how to develop the next generation of AI. The proposed workshop will combine these two complementary trends, bringing experts from the field together to discuss how AI can facilitate new scientific discoveries and how knowledge of the brain can help improve AI. Below is the list of confirmed speakers: * Fleur Zeldenrust * Vassilis Cutsuridis * Spyridon Chavlis * Andreas Tolias (online) * Robert Legenstein * Max Garagnani * Martin Trefzer * Julian Göltz * Maxim Bazhenov * Dhireesha Kudithipudi * Thomas Nowotny The workshop will conclude with a panel discussion and open debate. We look forward to your participation in what promises to be a thought-provoking and engaging event. Thomas Nowotny, Vassilis Cutsuridis, Maxim Bazhenov

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2 year Post-Doc - Charles University in Prague - Bioinspired Recurrent Neural Network Architectures
by Jan Antolik June 14, 2025

June 14, 2025

The CSNG Lab <https://csng.mff.cuni.cz/> at the Faculty of Mathematics and Physics at the Charles University is seeking a highly motivated *Postdoctoral Researcher* to join our team to work on *digital twin model of visual system. *Funded by the JUNIOR Post-Doc Fund <https://cuni.cz/UKEN-178.html>, this position offers an exciting opportunity to conduct cutting-edge research at the intersection of systems neuroscience, computational modeling and AI. *Project description:* Modern deep-learning techniques have transformed visual neuroscience by substantially improving the ability of models to predict cortical neuron responses to unseen visual stimuli. However, current deep-learning methods have two major shortcomings. First, they focus on predicting only the average neural response, failing to capture the fine temporal dynamics generated within recurrent neural populations. Second, these models rely on standard "off-the-shelf" architectures optimized for efficient training rather than reflecting the biological substrate under study. As a result, they function as black boxes, making it difficult to interpret the learned representations in terms of how visual processing is organized and implemented in biological neural circuits. These limitations hinder the ability of deep-learning models to provide meaningful insights into the principles governing vision and translate them to clinical applications such as brain-machine-interface systems. To address these challenges, in this project *we will develop novel modular, multi-layer recurrent neural **network (RNN) architectures that directly mirror the architecture of the primary visual cortex.* Our models will establish a one-to-one mapping between individual neurons at different stages of the visual pathway and their artificial counterparts. They will explicitly incorporate functionally specific lateral recurrent interactions, excitatory and inhibitory neuronal classes, complex single-neuron transfer functions with adaptive mechanisms, synaptic depression, and others. We will first train our new RNNs on synthetic data generated by a state-of-the-art biologically realistic recurrent spiking model of the primary visual cortex developed in our group. After we establish the proof-of-concept on the synthetic data, we will translate our models to publicly available mouse and macaque data, as well as additional data from our experimental collaborators. *What do we offer:* We are the Computational Systems Neuroscience Group (CSNG) <https://csng.mff.cuni.cz/> based at the Faculty of Mathematics and Physics of Charles University, Prague. The main goal of our group is to identify computations implemented in the neural system that underlies sensory perception, as well as applying this knowledge to the design of stimulation protocols for visual prosthetic systems. To that end, we build models of visual systems at various levels of abstraction using a variety of computational techniques including, but not limited to, machine learning and large-scale biologically plausible spiking neural network simulations. The position is *fully funded for 2 years, *and comes with a salary equivalent to ~2400 EUR/month. We offer a dynamic international working environment and collaborations with world-leading experimental labs (Stanford, University of Pennsylvania, Institute de la Vision Paris etc.). *Candidate profile:* Strong background in modern machine learning techniques. Prior experience with training recurrent neural networks, and neuroscience or related disciplines is an advantage, but not strict requirement. Interested candidates should *contact Dr. Ján Antolík* ( jan.antolik(a)mff.cuni.cz) with their CV. *Deadline 5th August 2025.*

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Computational neuroscience Post Doc position
by Thomas Funck June 12, 2025

June 12, 2025

Hi everyone, We currently have a job opening for a Post Doctoral Fellow in computational neuroscience, specifically for neural mass modeling. The position is based in New York City and is for 3 years. Please see below. Feel free to reach out if you have any questions or want to discuss further! Cheers, Thomas Funck Research Scientist Child Mind Institute JOB TITLE: Postdoctoral Fellow DEPARTMENT: Research- Center for Integrative Developmental Neuroscience LOCATION: Midtown, NY WORKPLACE SETTING: HYBRID (min. 4 days in office per week) POSITION SUMMARY: The Postdoctoral Research Fellow will focus on studying brain structure and functional connectivity at the forefront of computational neuroscience. You will work in close collaboration with internal and external partners to advance the modeling of whole-brain dynamics through the integration of microstructural brain data into large-scale simulations. You will work closely with an interdisciplinary team of neuroscientists, software developers, and data scientists to design, implement, validate, and disseminate open-source tools that integrate mesoscale neurotransmitter receptor maps into a neural mass modeling (NMM) simulation environment, and extend existing brain simulation tools to explore the biological underpinnings of brain function. RESPONSIBILITIES * Process and analyze large-scale fMRI, MRI, and DTI data from human and non-human * primate datasets using high-performance computing infrastructures. * Design and conduct simulations of whole-brain activity using surface-based cortical * meshes and brain atlases and validate simulation outputs against empirical fMRI data. * Implement Python code to integrate anatomic priors into existing NMM simulation * software. * Prepare manuscripts for publication in peer-reviewed journals and assist with grant * applications and data sharing with collaborators. * Provide guidance and support to junior research staff, including assistance with data * analysis and professional development. * Support the completion of ongoing and future grant-funded projects * Perform other job-related duties as assigned. QUALIFICATIONS Minimum Qualifications • Ph.D. in neuroscience, biomedical engineering, computer science, physics, applied mathematics, or a related field. • Publication track record demonstrating ability to conduct independent research and work collaboratively within a multidisciplinary team; with at least 1 first author publication or multiple middle author publications with significant contribution to the project. • 3+ years experience in Python and scientific computing (e.g., Numpy, Scipy, Scikit-Learn), and the Git version control systems. • 3+ years experience of existing neuroimaging software packages (e.g., ANTs, FreeSurfer, AFNI, FSL) file formats (e.g., NIfTI, GIFTI, CIFTI). • 3+ years of experience in neuroimaging research, including expertise with one or more imaging modalities such as fMRI, DTI, MRI, EEG, or MEG. General Qualifications • Strong interpersonal and communication skills in English, including written and oral communication. • Work cooperatively and contribute to group efforts in a very collaborative, opensource, and multidisciplinary environment. • Efficiently handle multiple responsibilities and meet deadlines in a fast-paced environment ADA Qualitifactions This position is based in a professional office environment. It requires the ability to sit or stand for extended periods, operate standard office equipment (including computers, phones, copiers, and printers), perform repetitive tasks, and communicate effectively with others. Occasional lifting of up to 20 pounds may also be required. This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message and any attachments

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Free and Online National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security
by PRANAV NERURKAR June 12, 2025

June 12, 2025

Dear Esteemed Colleagues (Apologies for multiple emails) National Level Webinar: Cybersecurity, Ethical Hacking, and Network Security The Department of Artificial Intelligence at Utkarsh Minds Technologies is excited to present a free webinar on: *- *Cybersecurity, Ethical Hacking, and Network Security** Details - Date: June 14, 2025 - Time: 4:00 PM IST - Mode: Online Webinar Highlights - Explore the latest trends and techniques in cybersecurity - Learn about ethical hacking and network security - Gain insights from experts in the field Registration - Register here: https://internships.utkarshminds.com/sessions/Career-prospects-in-Cybersecu… Contact - For further queries, please reach out to: - Pranav Nerurkar: 9619997797 Join us to enhance your knowledge in cybersecurity and stay ahead in the field! Warm and Kind regards, *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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[Newsletter RTAIM] 4th Inter. Conf. Ethics of AI (24-30 July, deadline: 25 June) + 19h RTAIM Seminar + Call for Papers (JAIC)
by steven gouveia June 12, 2025

June 12, 2025

Dear All, The Call for Abstracts for the 4th International Conference on Ethics of Artificial Intelligence (4ICEAI) is open until the 25 June 2025 (final deadline). Keynotes speakers are: John P. Hawthorne (Uni. Southern California), Julia Maria Mönig (Uni. Bonn), Pietro Perconti (Uni. Messina), Emília Duarte (European Uni.), Jesmin Jahan Tithi (AI Research Scientist at Intel), Christina H. Dietz (Uni. Southern California), Gabriel Ferreira (Uni. Sinos River Valley) and Raquel Simões de Almeida (Porto Polytechnic Higher School of Health). In-person submissions will be considered for the Ethics of AI Award 2025. You can find more about the conference here: https://ifilosofia.up.pt/activities/4-international-conference-ethics-ai Moreover, you are welcome to attend the 19th rTAIM Online Seminar, with the participation of Gustavo Oliva (UNISINOS, Brazil), 18 June 2025, 3:00pm - 4:30pm (Lisbon Time) via Zoom with the title “Patient Preference Predictors and the Rationality of Belief". You can find the relevant Zoom information here: Link: https://videoconf-colibri.zoom.us/j/91369601205?pwd=bsXLHK7a9pbpaoyJZuNwTuG… ID: 913 6960 1205 Password: 924448 Finally, paper submissions for a special issue on AI, 4E and Consciousness at the Journal of Artificial Intelligence and Consciousness is available here (deadline: 31 August 2025): https://www.worldscientific.com/page/jaic/callforpapers02 Sincerely yours, RTAIM Team

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