2021 Doctoral Workshop on the Economics of AI: Call for Applications

Call for Applications

Doctoral Student Workshop on Economics of Artificial Intelligence

Virtual Workshop: September 22, 2021

The National Bureau of Economic Research (NBER), with the generous support of the Alfred P. Sloan Foundation, will host a workshop for Ph.D. students in economics on topics related to artificial intelligence (AI). The workshop will involve a mix of lectures from leading scholars and student group discussions. It is targeted to students who are beginning or conducting research in this area. The workshop will be organized by NBER affiliates Ajay Agrawal, Joshua Gans, and Avi Goldfarb, of the University of Toronto, and Catherine Tucker of MIT. The goal is to promote research activity on topics related to AI, and to enable graduate students who are working in this area to begin developing a network of like-minded scholars. The programs for past workshops may be found at:
http://conference.nber.org/sched/YSAIf18, http://conference.nber.org/sched/YSAIf19, and
http://conference.nber.org/sched/YSAIf20. Some participants in the workshop may be invited to attend the fifth annual NBER Conference in AI, which will be held virtually on September 23-24, 2021.

Applicants must have successfully completed the first year of their Ph.D. program. They should use this link

https://conference.nber.org/confsubmit/backend/cfp?id=YSAIf21a

to submit the following materials in a single PDF file by 11:59pm EDT on Monday, May 31, 2021:

• Contact information, including email address.

• A one page CV, including key coursework and major (and minor if applicable) focus of study.

• A maximum 300 word summary of the applicant’s interest in AI. This could include research already undertaken, links from current research focus on AI topics, or reasons for newly formed interest in the topic.

Applications from students who are members of groups that are under-represented in economics are welcome. Acceptance decisions will be announced by early July, 2021.

Questions about the application process may be
addressed to confer@nber.org; questions about the content of the workshop may be addressed to avi.goldfarb@utoronto.ca.

2021 NBER Economics of AI Conference: Call for Papers

Call for Papers

Virtual Conference on Economics of Artificial Intelligence

September 23-24, 2021

The fifth annual NBER Economics of Artificial Intelligence (AI) Conference will be held virtually on September 23-24, 2021. The conference, which is made possible by the generous support of the Alfred P. Sloan Foundation, will showcase research on a broad range of AI-related issues. It will be co-organized by NBER researchers Ajay Agrawal, Joshua Gans, and Avi Goldfarb of the University of Toronto, and Catherine Tucker of MIT. Papers from the fourth conference are available at https://www.economicsofai.com/nber-conference-toronto-2020

Research topics that may be examined at the conference include, but are not limited to:

* The impact of AI on business practices and government policy

* The adoption and diffusion of AI

* How AI might impact on the labour market (including via automation)

* AI and inequality

* Macroeconomic impact of AI

* The regulation of AI

* Privacy and security of AI

* AI and discrimination

* AI and education

* The use of AI to improve decision-making

* The use of machine learning in economics

* Market design with AI

Original research papers, as well as overviews that offer a research agenda, may be presented. The NBER welcomes submissions by scholars who are early in their careers, who are not NBER affiliates, and who are members of under-represented groups. To be considered for inclusion on the program, completed papers must be uploaded by 11:59pm (EDT) on May 31, 2021 via the following link:

https://conference.nber.org/confsubmit/backend/cfp?id=AIf21

Please pass this call for papers on to colleagues who might be interested. Please do not submit papers that have been accepted for publication and that will be published by September 2021. Authors chosen to present papers will be notified in late June, 2021. All co-authors will be invited to participate in the virtual conference. Questions about the submission process or conference planning may be addressed to confer@nber.org; questions about the subject matter of the meeting may be addressed to avi.goldfarb@utoronto.ca.

2020 PhD Workshop in Economics of AI, Call for Applications

The NBER project on the Economics of Artificial Intelligence will hold a virtual workshop on September 23, 2020 for graduate students and recent PhDs interested in learning about the topic.

Details of past workshops are available at
http://conference.nber.org/sched/YSAIf18 and
http://conference.nber.org/sched/YSAIf19.

Select participants will be invited to participate in the virtual NBER Conference in AI on September 24 and 25.

To apply, graduate students should send an application in a single pdf file (labeled with the applicant's name) with the following information:
• Contact information, including email address.
• A one page CV, including key coursework, major (and minor if applicable) focus of study.
• A maximum 300 word summary of the applicant’s interest in AI. This could include research already undertaken, links from current research focus on AI topics, or reasons for newly formed interest in the topic.

Please upload applications to:
http://papers.nber.org/confsubmit/backend/cfapp?id=YSAIf20a

Application deadline: June 1, 2020

For more information, contact Denis Healy dhealy@nber.org

Call for Papers, 2020 NBER Conference on the Economics of AI

NBER Call for Papers -- Economics of Artificial Intelligence (AI)

The fourth annual NBER Economics of AI conference will now be held virtually on 24-25 September 2020. Papers and video from the 2019 conference are available
athttps://www.economicsofai.com/nber-conference-toronto-2019.

If you have a paper related to the Economics of AI, please upload a copy here by May 31, 2020.

http://papers.nber.org/confsubmit/backend/cfp?id=AIf20

We seek papers on topics related to the economics of AI, including (but not limited to):

•  The impact of AI on business practices and government policy
•  The adoption and diffusion of AI
•  How AI might impact on the labour market (including via automation)
•  AI and inequality
•  Macroeconomic impact of AI
•  The regulation of AI
•  Privacy and security of AI
•  AI and discrimination
•  AI and education
•  The use of AI to improve decision-making
•  The use of machine learning in economics
•  Market design with AI

Papers may be original research or overviews providing a research agenda.

Submissions must be received no later than May 31, 2020. We welcome early submissions.

We would appreciate it if you could pass this call for papers on to colleagues who might be interested, but who may not be on the Bureau's mailing list and we encourage submissions by scholars who are early in their careers and who are from groups that are underrepresented in the economics profession.

If you have any questions, please contact us avi.goldfarb@utoronto.ca. You can also contact Carl Beck in the NBER's Conference Department cbeck@nber.org.

Call for Applications: Graduate Students Interested in Economics of AI

The NBER project on the Economics of Artificial Intelligence will hold a 
full day workshop in Toronto Canada on September 25, 2019 for graduate 
students and recent PhDs interested in learning about this topic and 
meeting other researchers with similar interests. Funding for the hotel 
and travel required to attend the workshop is provided by the Alfred P. 
Sloan Foundation. Immediately following the workshop, participants will 
have the opportunity to interact with attendees of the third annual NBER 
Conference in AI, to be held in Toronto September 26 and 27, 2019. 
Details of the 2018 conference are available at 
https://www.economicsofai.com/nber-conference-2018/ 
<https://www.economicsofai.com/nber-conference-2018/>.

Graduate students interested in applying for travel support should send 
an application in a single pdf file (labeled with their name) with the 
following information:

• Contact information, including email address.
• A one page CV, including key coursework, major (and minor if 
applicable) focus of study.
• A maximum 300 word summary of their interest in AI. This could include 
research already undertaken, links from current research focus on AI 
topics, or reasons for newly formed interest in the topic.

Please upload applications to:
http://papers.nber.org/confsubmit/backend/cfapp?id=YSAIf19

The application deadline is June 1, 2019. For more information, please 
contact Denis Healy (dhealy@nber.org ).

Call for Papers: 2019 NBER Economics of AI Conference

The third annual NBER Economics of AI conference will be held in Toronto 
on 26-27 September 2019. Papers and video of presentations at the two 
previous conferences are available at 
https://www.economicsofai.com/nber-conference-2018/.

Submissions are welcome on any topic related to the economics of AI, 
including (but not limited to):

• The impact of AI on business practices and government policy
• The adoption and diffusion of AI
• How AI might impact the labour market (including via automation)
• AI and inequality
• Macroeconomic impact of AI
• The regulation of AI
• Privacy and security of AI
• AI and discrimination
• AI and education
• The use of AI to improve decision-making
• The use of machine learning in economics
• Market design with AI

Submissions may represent original research or overviews providing a 
research agenda. Please submit papers for consideration by uploading no 
later than May 31, 2019:

http://papers.nber.org/confsubmit/backend/cfp?id=AIf19

Early submissions are welcome. The NBER encourages submissions by 
scholars who are early in their careers and who are from groups that are 
underrepresented in the economics profession. Please forward this call 
to colleagues who may be interested in this topic but may not be on the 
NBER's mailing lists.

Please direct questions to Avi Goldfarb (avi.goldfarb@utoronto.ca ) or 
Carl Beck at the NBER Conference Department (cbeck@nber.org).

Call for Papers, 2018 NBER Economics of AI Conference

TO:      Productivity, Innovation & Entrepreneurship Program Members and Potential Authors
FROM:  Ajay Agrawal, Joshua Gans, Avi Goldfarb
DATE:  January 11, 2018
RE:      Call for Papers

We are organizing the second annual NBER Economics of AI conference. It will be held in Toronto on 13-14 September 2018. The inaugural conference was held in 2017. Papers and video are available at https://www.economicsofai.com/nber-conference-toronto-2017/.

If you have a paper related to the Economics of AI, please upload a copy here by May 31, 2018.
http://papers.nber.org/confsubmit/backend/cfp?id=AIf18

We seek papers on topics related to the economics of AI, including (but not limited to):
* The impact of AI on business practices and government policy
* The adoption and diffusion of AI
* How AI might impact on the labour market (including via automation)
* AI and inequality
* Macroeconomic impact of AI
* The regulation of AI
* Privacy and security of AI
* AI and discrimination
* AI and education
* The use of AI to improve decision-making
* The use of machine learning in economics
* Market design with AI

Papers may be original research or overviews providing a research agenda.

Submissions must be received no later than May 31, 2018. We welcome early submissions.

We would appreciate it if you could pass this call for papers on to colleagues who might be interested, but who may not be on the Bureau's mailing list and we encourage submissions by scholars who are early in their careers and who are from groups that are underrepresented in the economics profession.

If you have any questions, please contact us at avi.goldfarb@utoronto.ca. You can also contact Carl Beck in the NBER's Conference Department at cbeck@nber.org.

Postdoctoral fellowships with AINow at NYU

New postdoc opportunity in AI:

AI Now is looking for two to three postdoctoral researchers whose work resonates with the Institute’s mission. This position is an ideal opportunity for scholars who are interested in understanding the growing role of AI and related technologies within social and political institutions, and who are excited by the idea of shaping a new and far-ranging research field.

QUALIFICATIONS

Eligible candidates will have received their PhD in 2016-2018 (conferred by August 2018). Start date for this position will be September 4, 2018. Postdoc fellowships are two years in length and this position will conclude at the end of June 2020.

Successful candidates will have extensive research experience and an established research track record–demonstrated by journal publications and/or conference papers and other forms of academic participation, such as program committees and editorial boards.

Candidate may be trained in any discipline, but should be driven to better understand the social and economic implications of AI and related systems, and be interested in working in an interdisciplinary environment.

Examples of relevant research areas include: issues of bias and fairness in algorithmic systems, gender representation in AI, the implications of algorithmic risk assessment in criminal justice, the geopolitical implications of artificial intelligence, the ways in which AI and automation are shaping specific labor sectors and the nature of work, the history of artificial intelligence, and the political implications of machine vision. We are also open to a range of topics and approaches that go beyond these domains.

The ideal candidate will enjoy bold and creative research design, working on collaborative teams, mentoring junior researchers, exploring new methodologies, and engaging broad audiences with their research.

The postdoctoral fellowship program is located at New York University and candidates will be expected to spend the majority of their time on-site, with the exception of travel for conferences, research, meetings, etc.

NYU is an Equal Opportunity Employer and we value diversity; women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

APPLICATION INSTRUCTIONS

The application deadline for the 2018-2020 class is Tuesday November 21, 2017 at 12:00 noon EST.

Feel free to contact us should you have any questions about the position at apply@artificialintelligencenow.com.

Trustworthy Algorithmic Decision-Making: Call for Papers

Emilee Rader and Rick Wash of Michigan State University are running an NSF-sponsored interdisciplinary workshop on trustworthy algorithmic decision-making. They'd like economists to be involved.

Their website is here: http://trustworthy-algorithms.org/cfw.html