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The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Abstract Submission & Review
The review process will be coordinated by the editorial team of Nature Medicine. Reviewers will rate abstracts based on scientific merit and potential for impact on healthcare value at scale within 10 years, especially for medically fragile and costly population segments. Examples of fragile and costly patients are those receiving inpatient care, frail seniors seeking to maintain independence at home, or children with chronic illnesses or social health risks. Submitted abstracts should describe the topical background, methods, results and implications for improving the value of care, and indicate the category in which these should be considered among the six described above. Abstracts can be considered for oral presentations in a maximum of 2 categories. All authors whose abstracts exceed a threshold score to be determined after review may opt to have their abstract published, via an online appendix, to a report on conference proceedings. This will not be indexed in PubMed but will be available online. Publication of conference proceedings papers in this format do not generally preclude consideration of the full manuscript in other scientific journals, provided the submission provides a substantive extension of results, methodology, application, analysis, conclusions and/or implications over the conference proceedings paper. If figures or any other part of the paper is reproduced from the conference proceedings article, authors must be responsible for securing any necessary rights. The Nature Research policy can be found here: https://www.nature.com/authors/policies/preprints.html The 2nd and 3rd place winners in each category will have the opportunity to participate in the session topic Q&A as well as present a poster during the conference. Submission Details Deadline: April 30, 2019 The maximum abstract length is two pages (excluding references). Figures and images may be included in the abstract. All submissions should be in 11-point Times New Roman font with 1” margins on all sides. Because reviewers will be blinded to the author’s identities, do not include the names of authors, institutions, or any other identifying information in the initial submission. Research that has been previously published elsewhere or is currently in submission may be submitted. Please direct questions about abstract submission to Javier.Carmona@us.nature.com and about the conference to pac-conference@stanford.edu. To submit an abstract please email to javier.carmona@us.nature.com with the subject line “FAC Abstract Submission.”Registration Information
| Early (by 5/1) | Regular (by 9/18) | |
| Industry | $700 | $950 |
| Academics | $350 | $500 |
| Students | $75 | $85 |
Abstract Submission & Review
The review process will be coordinated by the editorial team of Nature Medicine. Reviewers will rate abstracts based on scientific merit and potential for impact on healthcare value at scale within 10 years, especially for medically fragile and costly population segments. Examples of fragile and costly patients are those receiving inpatient care, frail seniors seeking to maintain independence at home, or children with chronic illnesses or social health risks. Submitted abstracts should describe the topical background, methods, results and implications for improving the value of care, and indicate the category in which these should be considered among the six described above. Abstracts can be considered for oral presentations in a maximum of 2 categories. All authors whose abstracts exceed a threshold score to be determined after review may opt to have their abstract published, via an online appendix, to a report on conference proceedings. This will not be indexed in PubMed but will be available online. Publication of conference proceedings papers in this format do not generally preclude consideration of the full manuscript in other scientific journals, provided the submission provides a substantive extension of results, methodology, application, analysis, conclusions and/or implications over the conference proceedings paper. If figures or any other part of the paper is reproduced from the conference proceedings article, authors must be responsible for securing any necessary rights. The Nature Research policy can be found here: https://www.nature.com/authors/policies/preprints.html The 2nd and 3rd place winners in each category will have the opportunity to participate in the session topic Q&A as well as present a poster during the conference. Submission Details Deadline: April 30, 2019 The maximum abstract length is two pages (excluding references). Figures and images may be included in the abstract. All submissions should be in 11-point Times New Roman font with 1” margins on all sides. Because reviewers will be blinded to the author’s identities, do not include the names of authors, institutions, or any other identifying information in the initial submission. Research that has been previously published elsewhere or is currently in submission may be submitted. Please direct questions about abstract submission to Javier.Carmona@us.nature.com and about the conference to pac-conference@stanford.edu. To submit an abstract please email to javier.carmona@us.nature.com with the subject line “FAC Abstract Submission.”Registration Information
| Early (by 5/1) | Regular (by 9/18) | |
| Industry | $700 | $950 |
| Academics | $350 | $500 |
| Students | $75 | $85 |
Does AI belong in the classroom? Will tomorrow’s classroom look like today’s smart home? Is AI in the classroom a boon or a curse? How can educators and technologists work together to develop tools and methods that facilitate the learning experience? Can intelligent learning promote personalized intellectual exploration? This Intersections event puts faculty from the Stanford Graduate School of Education and the Stanford School of Engineering in conversation.
Does AI belong in the classroom? Will tomorrow’s classroom look like today’s smart home? Is AI in the classroom a boon or a curse? How can educators and technologists work together to develop tools and methods that facilitate the learning experience? Can intelligent learning promote personalized intellectual exploration? This Intersections event puts faculty from the Stanford Graduate School of Education and the Stanford School of Engineering in conversation.
The Stanford Institute for Human-Centered Artificial Intelligence will host the first of a monthly series of talks and community building receptions. Each month we will kick off with a short faculty research talk on a different topic related to human-centered AI, and then host Stanford faculty, students, and staff for an informal reception to build the HAI community across campus.
This month's reception will feature a discussion of AI and Education with Dan Schwartz, Dean of the Graduate School of Education and the Nomellini-Olivier Professor of Educational Technology, and Chris Piech, Assistant Professor of Computer Science Education.
The Stanford Institute for Human-Centered Artificial Intelligence will host the first of a monthly series of talks and community building receptions. Each month we will kick off with a short faculty research talk on a different topic related to human-centered AI, and then host Stanford faculty, students, and staff for an informal reception to build the HAI community across campus.
This month's reception will feature a discussion of AI and Education with Dan Schwartz, Dean of the Graduate School of Education and the Nomellini-Olivier Professor of Educational Technology, and Chris Piech, Assistant Professor of Computer Science Education.
According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens, which considers people disabled to the extent that society creates accessibility barriers.
According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens, which considers people disabled to the extent that society creates accessibility barriers.
Artificial intelligence will be the most consequential technology of the 21st century—augmenting human capabilities, transforming industries and economies, and reshaping societies. Stanford HAI was established to advance AI technology and applications, and to provide leadership in understanding and influencing its impact on the world. It will conduct high-impact research; convene stakeholders from industry, government, academia, and civil society to address critical technical and societal challenges; and educate leaders across all sectors.
Three fundamental beliefs guide HAI: AI technology should be inspired by human intelligence; the development of AI must be guided by its human impact; and applications of AI should enhance and augment humans, not replace them. HAI will permeate and access the entire university, bringing Stanford’s vast array of disciplines and capabilities to bear in an interdisciplinary manner across the basic sciences, engineering, psychology, medicine, business, law, education, and the social sciences.
Artificial intelligence will be the most consequential technology of the 21st century—augmenting human capabilities, transforming industries and economies, and reshaping societies. Stanford HAI was established to advance AI technology and applications, and to provide leadership in understanding and influencing its impact on the world. It will conduct high-impact research; convene stakeholders from industry, government, academia, and civil society to address critical technical and societal challenges; and educate leaders across all sectors.
Three fundamental beliefs guide HAI: AI technology should be inspired by human intelligence; the development of AI must be guided by its human impact; and applications of AI should enhance and augment humans, not replace them. HAI will permeate and access the entire university, bringing Stanford’s vast array of disciplines and capabilities to bear in an interdisciplinary manner across the basic sciences, engineering, psychology, medicine, business, law, education, and the social sciences.