Experts | The Generation Lab
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AI EXPERT SURVEY

The survey of n=216 Computer Science professors  was conducted by Generation Lab for Axios in partnership with Syracuse University’s Institute for Democracy, Journalism & Citizenship and Autonomous Systems Policy Institute

 

Disclaimer:

The use of institution logos in connection with this project signifies the participation of Professors from those universities and does not imply the university's endorsement or affiliation with this project. The logos solely serve to recognize the invaluable contributions of these esteemed academics from the above institutions to the initiative.

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DOWNLOAD the data  

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As leaders in business, government and media face the top issues of our time, we desperately need a clear and authoritative breakdown of how the brightest minds see the issue.

Generation Lab, Axios & Syracuse University identify and survey a small pool of the most distinguished voices in academia and research to give insight into the issues we as a society are debating in real time.

This data will be the starting point for any discussion on the topic. Anyone can hold their opinion on the topic, but it will be clear where on the expert spectrum they stand.

Why this exists
How it works
The impact

This Axios-Generation Lab-Syracuse University AI Experts Poll was conducted Oct. 25-30, 2023, with an online survey distributed by email. The survey is based on responses interviews with n=216 professors of computer science and engineering, from 65 of the top 100 computer science programs in America, (as defined by the SCImago Journal's institutional rankings). 

The computer science professors are faculty at the following institutions:

 

  • Binghamton University

  • Brown University

  • Carnegie Mellon University

  • Colorado State University-Fort Collins

  • Columbia University in the City of New York

  • Duke University

  • George Mason University

  • Georgia Institute of Technology-Main Campus

  • Harvard University

  • Indiana University-Bloomington

  • Massachusetts Institute of Technology

  • North Carolina State University at Raleigh

  • Northwestern University

  • Ohio State University-Main Campus

  • Oklahoma State University-Main Campus

  • Oregon State University

  • Princeton University

  • Rensselaer Polytechnic Institute

  • Rutgers University-New Brunswick

  • Stanford University

  • Stony Brook University

  • Syracuse University

  • Temple University

  • Texas A & M University-College Station

  • The University of Tennessee-Knoxville

  • The University of Texas at Austin

  • University of California-Berkeley

  • University of California-Davis

  • University of California-Irvine

  • University of California-Los Angeles

  • University of California-San Diego

  • University of California-San Francisco

  • University of California-Santa Barbara

  • University of California-Santa Cruz

  • University of Chicago

  • University of Colorado Boulder

  • University of Connecticut

  • University of Delaware

  • University of Florida

  • University of Georgia

  • University of Illinois Urbana-Champaign

  • University of Kansas

  • University of Kentucky

  • University of Maryland-College Park

  • University of Massachusetts-Amherst

  • University of Michigan-Ann Arbor

  • University of Minnesota-Twin Cities

  • University of Nebraska-Lincoln

  • University of North Carolina School of the Arts

  • University of Notre Dame

  • University of Oklahoma-Norman Campus

  • University of Oregon

  • University of Pennsylvania

  • University of Rochester

  • University of South Florida

  • University of Southern California

  • University of Utah

  • University of Virginia-Main Campus

  • University of Wisconsin-Madison

  • Utah State University

  • Vanderbilt University

  • Virginia Polytechnic Institute and State University

  • Washington State University

  • Wayne State University

  • Worcester Polytechnic Institute

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Generation Lab Expert Opinion Methodology


Generation Lab conducts studies to capture expert perspectives from scholars on a variety of critical issues. Our proprietary non-opt-in scholars frame, the largest commercially available one yet, is built from a database of every college and university in the United States in order to conduct high-volume, customizable studies on various expert populations.


To build our frame, we first ordered the list of every college and university in the United States based on their admission rate from most selective to least selective. The admissions rate was used as a proxy to prioritize universities with more dedicated resources to research. We obtain this compilation of universities and the relevant appended data from the Department of Education College Scorecard, which includes all active Integrated Postsecondary Education Data System (IPEDS) institutions. We eliminate schools that are dedicated to arts, trades, and specialized programs.


Then we go through the list and obtain contact and details on every scholar within each school, including but not limited to: their title, their department, their area of focus within the department. We utilize a variety of proprietary methods to find the contacts and details about the scholars. 


Because we are obtaining a scholar’s information from their institution directly, all the information contained in our frame is fully validated, including the contact information of each scholar. We further confirm this information through screening in our questionnaires. Depending on the study design, we may employ a stratified random method of sampling by leveraging a wealth of data available on published scholarship. Studies are deployed and sent out to the scholars who satisfy the qualifications of our intended study. Scholars are provided with details about the study, its sponsors, and information about the Generation Lab. An honorarium is given to the sampled respondents who complete each study.

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Metodology
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