Neuroprediction, the use of neuroscientific data to predict human behavior, can sound like science fiction. But with the advent of neuroimaging and the continuing rapid development of other non-invasive brain measurements, neuroprediction is increasingly a real-world phenomenon.
Deep philosophical, legal, and neuroscientific questions arise regarding the use of these methods to predict behavior. Like all scientific tools, whether or not these technologies are used responsibly depends on who uses them. For instance, recent research illustrates the potential use of neuroprediction to assess an individual’s risk of (re-)engaging in antisocial conduct in forensic contexts. While the use of brain-based data may add predictive value to existing risk assessment tools, at the same time, the use (or misuse) of neuroprediction in courtrooms may imply violations of individual rights and liberties under the pretext of enhancing public safety. In addition to these legal implications, neuroprediction presents several technological and neuroscientific challenges. The non-invasive measures currently available are only indirect measures of cognitive activity. Understanding the conceptual, ethical, and legal dimensions surrounding the use of neuroprediction technologies helps crystallize the issues at hand and potentially provides moral guidance for those who wish to capitalize on these new tools as their prevalence and specificity continue to advance.
In this seminar, four experts from neuroscience, law, and philosophy will discuss recent findings in neuroprediction research, the predictive power of brain-based evidence compared to behavioral evidence, as well as the ethical and legal concerns emerging from the entrance of neuroprediction in the courts of law.
Speakers:
Arielle Baskin-Sommers, Assistant Professor of Psychology and Psychiatry, Yale University
Martha Farah, Annenberg Professor of Natural Sciences, University of Pennsylvania
Kent Kiehl, Professor of Psychology and Neuroscience, University of New Mexico
Walter Sinnott-Armstrong, Chauncey Stillman Professor of Practical Ethics, Duke University
Discussant:
Jeffrey A. Fagan, Isidor and Seville Sulzbacher Professor of Law and Professor of Epidemiology, Columbia University
Moderator:
Federica Coppola, Presidential Scholar in Society and Neuroscience, Columbia University
Free and open to the public, but RSVP is required via Eventbrite. This event is part of the Seminars in Society and Neuroscience series.
What can science teach us about how we perceive and understand art? How can art help us understand ourselves and each other? In this event, the Zuckerman Institute explores the interactions between our brains and the artistic world, finding connections and parallels between art and science.
Event Speakers
Please visit the event webpage to view the speaker list.
Event Information
Free and open to the public, registration is required by January 28, 2022. This event will also be live-streamed. Please email zuckermaninstitute@columbia.edu with any questions.
This talk is part of the Stavros Niarchos Foundation Brain Insight Lecture series hosted by Columbia’s Mortimer B. Zuckerman Mind Brain Behavior Institute and supported by the Stavros Niarchos Foundation.
The International Conference on Brain Informatics (BI) series has established itself as the world’s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research.
The 16th International Conference on Brain Informatics (BI’23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications.
The key theme of the conference is “Brain Science meets Artificial Intelligence“.
The BI’23 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:
- Track 1: Cognitive and Computational Foundations of Brain Science
- Track 2: Human Information Processing Systems
- Track 3: Brain Big Data Analytics, Curation and Management
- Track 4: Informatics Paradigms for Brain and Mental Health Research
- Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
Keynote Speakers
Professor Emery N. Brown
MIT, Massachusetts General Hospital, USA
Profile: Emery Neal Brown is the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and at Massachusetts General Hospital (MGH), and a practicing anesthesiologist at MGH. At MIT he is the Edward Hood Taplin Professor of Medical Engineering and professor of computational neuroscience, the Associate Director of the Institute for Medical Engineering and Science, and the Director of the Harvard–MIT Program in Health Sciences and Technology. Brown is one of only 19 individuals who has been elected to all three branches of the National Academies of Sciences, Engineering, and Medicine, as well as the first African American and the first anesthesiologist to be elected to all three National Academies.
Professor Bin He
Carnegie Mellon University, USA
Profile: Bin He is the Trustee Professor of Biomedical Engineering, Professor of the Neuroscience Institute, and Professor by courtesy of Electrical and Computer Engineering at Carnegie Mellon University. Dr. He has made significant research and education contributions to the field of neuroengineering and biomedical imaging, including functional biomedical imaging, noninvasive brain-computer interface (BCI), and noninvasive neuromodulation. His pioneering research has helped transforming electroencephalography from a 1-dimensional detection technique to 3-dimensional neuroimaging modality. His lab demonstrated for the first time for humans to fly a drone and control a robotic arm just by thinking about it using a noninvasive BCI. He is an elected Fellow of International Academy of Medical and Biological Engineering (IAMBE), American Institute of Medical and Biological Engineering (AIMBE), Biomedical Engineering Society (BMES), and IEEE. Dr. He served as a Past President of the IEEE Engineering in Medicine and Biology Society, the Editor-in-Chief of IEEE Transactions on Biomedical Engineering from 2013-2018, the Chair of the International Academy of Medical and Biological Engineering from 2018-2021. Dr. He has been a Member of NIH BRAIN Initiative Multi-Council Working Group from 2014-2019.
Professor John Ngai
NIH BRAIN Initiative, USA
Profile: John J. Ngai, Ph.D., is the Director of the NIH’s Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Dr. Ngai earned his bachelor’s degree in chemistry and biology from Pomona College, Claremont, California, and Ph.D. in biology from the California Institute of Technology (Caltech) in Pasadena. He was a postdoctoral researcher at Caltech and at the Columbia University College of Physicians and Surgeons before starting his faculty position at the University of California at Berkeley. During more than 25 years as a Berkeley faculty member, Dr. Ngai has trained 20 undergraduate students, 24 graduate students and 15 postdoctoral fellows in addition to teaching well over 1,000 students in the classroom. His work has led to the publication of more than 70 scientific articles in some of the field’s most prestigious journals and 10 U.S. and international patents. Dr. Ngai has received many awards including from the Sloan Foundation, Pew Charitable Trusts, and McKnight Endowment Fund for Neuroscience. As a faculty member, Dr. Ngai has served as the director of Berkeley’s Neuroscience Graduate Program and Helen Wills Neuroscience Institute. He has also provided extensive service on NIH study sections, councils and steering groups, including as previous co-chair of the NIH BRAIN Initiative Cell Census Consortium Steering Group. Dr. Ngai oversees the long-term strategy and day-to-day operations of the NIH BRAIN Initiative as it strives to revolutionize our understanding of the brain in both health and disease.
Professor Helen Mayberg
Icahn School of Medicine at Mount Sinai, USA
Profile: Helen Mayberg is a neurologist recognized for her neuroimaging studies of brain circuits in depression and their translation to the development of deep brain stimulation as a novel therapeutic for treatment resistant patients. Born and raised in Southern California, she received a BA in Psychobiology from UCLA and a MD from the University of Southern California, then trained in Neurology at Columbia’s Neurological Institute in New York and did a research fellowship in nuclear medicine at Johns Hopkins. She had early academic appointments at Johns Hopkins and the University of Texas Health Sciences Center in San Antonio, held the inaugural Sandra Rotman Chair in Neuropsychiatry at the University of Toronto, the first Dorothy C. Fuqua Chair in Psychiatric Imaging and Therapeutics at Emory University and is now the Mount Sinai Professor of Neurotherapeutics at the Icahn School of Medicine where she is founding Director of the Nash Family Center for Advanced Circuit Therapeutics. She is a member of the both the National Academy of Sciences and the National Academy of Medicine as well as the National Academy of Inventors and American Academy of Arts and Sciences.
Professor Vinod Goel
York University, Canada
Profile: Vinod Goel is a professor of cognitive neuroscience at York University, Toronto, Canada. He completed his PhD in cognitive science at UC-Berkeley, and received postdoctoral training in neuroscience at the NIH (NINDS) and the Wellcome Department of Cognitive Neurology, Institute of Neurology, UCL, UK. He has made significant empirical contributions to our understanding of the roles of prefrontal cortex in real-world problem solving and reasoning, hemispheric asymmetry in prefrontal cortex, and models of rationality, using the methodologies of fMRI and lesion studies. He has most recently completed a book reconstructing the role of rationality in human behavior entitled “Reason and Less: Pursuing Food, Sex, and Politics” (The MIT Press, 2022). His current project is to explore the implications of this work on our understanding of reason and legal responsibility.
Professor Amy Kuceyeski
Cornell University, USA
Profile: Amy Kuceyeski is an Associate Professor of Mathematics and Neuroscience in Radiology at Weill Cornell Medicine and the Computational Biology Department at Cornell University. She is the director of the Computational Connectomics (CoCo) Laboratory and the Machine Learning in Medicine group at Cornell. Over the past 14 years, she has been working to understand the human brain using quantitative modeling approaches, including machine learning, to map anatomical and physiological characteristics to behavior. Specifically, she is interested in understanding how brains recover from injury so we can devise strategies, possibly via non-invasive neuromodulation, to support natural recovery processes. She also performs research at the intersection of biological and artificial neural networks that aims to understand how human brains process incoming visual information.
Professor Patrick Purdon
Harvard Medical School, USA
Profile: Patrick L. Purdon, Ph.D., is an Associate Professor of Anaesthesia at Harvard Medical School and the Nathaniel M. Sims Endowed Chair in Anesthesia Innovation and Bioengineering at Massachusetts General Hospital. Dr. Purdon received his A.B. in Engineering Sciences from Harvard College in 1996, his M.S. in Electrical Engineering from MIT in 1998, and his Ph.D. in Biomedical Engineering from MIT in 2005. Dr. Purdon’s research in neuroengineering encompasses the mechanisms of anesthesia, Alzheimer’s disease and brain health, anesthesia and the developing brain, neural signal processing, and the development of novel technologies for brain monitoring. He has published over 90 peer-reviewed publications, is an inventor on 16 pending patents, and is a Fellow of the American Institute for Medical and Biological Engineering. Dr. Purdon has won numerous awards, including the prestigious National Institutes of Health Director’s New Innovator Award.
Important Dates
- 15 April 2023: Full paper submission deadline
- 20 April 2023: Workshop proposal deadline
- 10 May 2023: Abstract presentation submission deadline
- 30 May 2023: Final paper and abstract acceptance notification
- 20 Jun 2023: Accepted paper and abstract registration deadline
- 1-3 Aug 2023: The Brain Informatics Conference
Paper Submission and Publications
Full Paper (Regular):
1. 9-12 pages are strongly encouraged for the regular papers including figures and references in Springer LNCS Proceedings format(https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Over length papers will be charged for 100$ per page.
2. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality.
3. All papers accepted (and all workshop & special sessions’ full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series(https://link.springer.com/conference/brain).
Abstract (Only for Workshops/Special Sessions):
Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. The abstract will not be included in the conference proceedings to be published by Springer.
Journal Opportunities:
High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal, (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors.
Special Issues & Books Opportunities:
Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal.
Poster-Conference Publication
1. Accepted full papers will be selected to publish in the Brain Informatics Journal upon revision.
2. Discount or no article-processing fee will be charged for authors of Brain Informatics conference (https://braininformatics.springeropen.com/).
3. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics and Health book series (http://www.springer.com/series/15148).
How do we experience space? And what does this mean for the spaces we design? We explore these questions by bringing together speakers from Architecture, Neuroscience, and Virtual Reality, with two specific aims: First, we explore what Architecture and Virtual Reality can learn from each other, as two distinct approaches to “spatial design”. Whilst spatial experience has long been a central question of Architecture, Virtual Reality is only beginning to grapple with these questions, as technology transitions from 2D screens to 3D spatial interfaces. Second, we explore the nature of spatial experience itself, with two approaches to understanding the human mind. Whilst contemporary Architecture is influenced by Philosophy (specifically the “Phenomenological” tradition), the tools of Neuroscience are increasingly being applied to questions of Architecture as well. Through this multidisciplinary exchange we hope to deepen our understanding of spatial experience, and how it informs the physical and virtual spaces we design.
Event Speakers
- Nitzan Bartov, Designer at Meta Reality Labs Research
- Anjan Chatterjee, Professor of Neurology, Psychology, and Architecture at the University of Pennsylvania
- Steven Holl, Professor of Architecture, Planning, and Preservation at Columbia University
- Moderated by Paul Linton, Presidential Scholar in Society and Neuroscience and Fellow of the Italian Academy for Advanced Studies in America at Columbia University
Event Information
Free and open to the public. Registration is required via Eventbrite. Online attendees will receive a Zoom link from Eventbrite. Please email presidentialscholars@columbia.edu with any questions.
This event is hosted by the Presidential Scholars in Society and Neuroscience as part of the Seminars in Society and Neuroscience series. Co-sponsored by the Italian Academy for Advanced Studies in America and the Zuckerman Institute at Columbia University.
The Center for Science and Society makes every reasonable effort to accommodate individuals with disabilities. If you require disability accommodations to attend a Center for Science and Society event, please contact us at scienceandsociety@columbia.edu or (212) 854-0666 at least 10 days in advance of the event. For more information, please visit the campus accessibility webpage.