Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. He is also the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.
His research interests include immigration, statistical methods, political economy, and political behavior. He has published over 40 articles, many of them in top general science journals and top field journals in political science, statistics, economics, and business. He has also published three open source software packages and his research has received awards and funding from the Carnegie Corporation, the Russell Sage Foundation, the Robin Hood Foundation, the National Science Foundation, the Swiss SNF, the American Political Science Association, Schmidt Futures, the Society of Political Methodology, the National Bureau of Economic Research, and the Midwest Political Science Association.
Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tübingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology.
Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. He is also the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.
His research interests include immigration, statistical methods, political economy, and political behavior. He has published over 40 articles, many of them in top general science journals and top field journals in political science, statistics, economics, and business. He has also published three open source software packages and his research has received awards and funding from the Carnegie Corporation, the Russell Sage Foundation, the Robin Hood Foundation, the National Science Foundation, the Swiss SNF, the American Political Science Association, Schmidt Futures, the Society of Political Methodology, the National Bureau of Economic Research, and the Midwest Political Science Association.
Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tübingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology.
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 |
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. AI technologies offer the possibility of removing many accessibility barriers. For example, computer vision might give people who are blind a better sense of the visual world, speech recognition and translation technologies might offer real-time captioning for people who are hard of hearing, and new robotic systems might augment the capabilities of people with mobility restrictions. Considering the needs of users with disabilities can help technologists identify high-impact challenges whose solutions can advance the state of AI for all users. At the same time, ethical challenges such as inclusion, bias, privacy, error, expectation setting, simulated data, and social acceptability must be considered. In this lecture, I will define these seven challenges, provide examples of how they relate to AI for Accessibility technologies, and discuss future considerations in this space.
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. AI technologies offer the possibility of removing many accessibility barriers. For example, computer vision might give people who are blind a better sense of the visual world, speech recognition and translation technologies might offer real-time captioning for people who are hard of hearing, and new robotic systems might augment the capabilities of people with mobility restrictions. Considering the needs of users with disabilities can help technologists identify high-impact challenges whose solutions can advance the state of AI for all users. At the same time, ethical challenges such as inclusion, bias, privacy, error, expectation setting, simulated data, and social acceptability must be considered. In this lecture, I will define these seven challenges, provide examples of how they relate to AI for Accessibility technologies, and discuss future considerations in this space.
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.
About the speaker
Richard Baldwin is a Professor of International Economics at the Graduate Institute, Geneva. He also serves as Editor-in-Chief of VoxEU.org, which he founded, and was previously Visiting Professor at the University of Oxford and MIT. He served as a Senior Staff Economist for the President's Council of Economic Advisors in the Bush Administration (1990-1991).
About the book
In this engagingly-written, insight-packed book, Richard Baldwin, one of the world's leading globalization experts, argues that the inhuman speed of this transformation threatens to overwhelm our capacity to adapt. When technology enables people from around the world to be a virtual presence in any given office, globotics will disrupt the lives of millions of skilled workers much faster than automation, industrialization, and globalization disrupted lives in previous centuries.
About the speaker
Richard Baldwin is a Professor of International Economics at the Graduate Institute, Geneva. He also serves as Editor-in-Chief of VoxEU.org, which he founded, and was previously Visiting Professor at the University of Oxford and MIT. He served as a Senior Staff Economist for the President's Council of Economic Advisors in the Bush Administration (1990-1991).
About the book
In this engagingly-written, insight-packed book, Richard Baldwin, one of the world's leading globalization experts, argues that the inhuman speed of this transformation threatens to overwhelm our capacity to adapt. When technology enables people from around the world to be a virtual presence in any given office, globotics will disrupt the lives of millions of skilled workers much faster than automation, industrialization, and globalization disrupted lives in previous centuries.
12:00-1:00pm Keynote by David Autor, Ford Professor of Economics at MIT, Work of the Past, Work of the Future (lunch provided)
1:00-1:15pm Coffee Break
1:15-1:45pm Bots and Tots, Hal Varian, Chief Economist, Google
1:45-2:15pm Panel Discussion on the Future of Work moderated by Susan Athey, Stanford Graduate School of Business
12:00-1:00pm Keynote by David Autor, Ford Professor of Economics at MIT, Work of the Past, Work of the Future (lunch provided)
1:00-1:15pm Coffee Break
1:15-1:45pm Bots and Tots, Hal Varian, Chief Economist, Google
1:45-2:15pm Panel Discussion on the Future of Work moderated by Susan Athey, Stanford Graduate School of Business