L’essentiel de l’offre
- Poste : Intervenant ou Participant à la conférence académique
- Employeur : Yale University (DISSC, ISPS, CADMY)
- Lieu : Yale University, New Haven, CT, États-Unis (Kline Tower)
- Contrat : Conférence académique internationale
- Date limite : Non spécifiée dans l’annonce officielle
- Niveau requis : Universitaires, chercheurs, doctorants, statisticiens et spécialistes
Contexte
The AI for Social Science Research Methods Conference 2027 will take place on April 28–29, 2027, at Yale University in New Haven, Connecticut, United States. The two-day academic conference will bring together scholars and researchers exploring how artificial intelligence (AI) can improve, transform, and challenge social science research methods.
The event will feature research presentations, poster sessions, and academic discussions focused on methodological innovation at the intersection of AI and social science. It will provide an opportunity for researchers from different disciplines to exchange ideas, present emerging findings, and examine the opportunities and limitations of AI-enabled research.
The conference is co-hosted by three Yale-affiliated research centres: Data-Intensive Social Science Center (DISSC), Institution for Social and Policy Studies (ISPS), and Center for Algorithms, Data, and Market Design (CADMY).
Artificial intelligence is increasingly being integrated into research design, data collection, measurement, analysis, and academic workflows. Although these developments create new possibilities for researchers, they also raise important methodological questions about the quality, accuracy, and interpretation of AI-generated information. The conference aims to address these challenges by bringing together researchers developing methods for the responsible and effective use of AI in social science.
Missions et responsabilités
- Participate in research presentations, poster sessions, and academic discussions focused on methodological innovation at the intersection of AI and social science.
- Exchange ideas with researchers from different disciplines, present emerging findings, and examine opportunities and limitations of AI-enabled research.
- Address key questions including how researchers can validate measurements produced using AI tools and whether AI-generated observations can reliably substitute for human responses.
- Explore how technological developments could influence the future of survey research and examine conditions under which AI improves research quality.
- Address circumstances in which the use of AI may introduce bias, uncertainty, or limitations in social science inference.
- Engage in interdisciplinary collaboration and methodological discussions across sociology, economics, political science, public health, statistics, and computer science.
Profil recherché
- University academics, early-career researchers, doctoral students, and research fellows.
- Data scientists, statisticians, research methodologists, and technology specialists.
- Professionals developing or evaluating AI-supported research methods.
- Researchers interested in survey methodology, computational social science, public policy, and behavioural research.
- Scholars seeking to establish academic collaborations and exchange methodological approaches.
Conditions et avantages
- Two-day academic conference at Yale University featuring presentations, posters, and academic dialogue.
- Venue located at Kline Tower, 14th Floor, Yale University, New Haven, Connecticut, United States.
- Opportunity to engage with emerging research at the intersection of artificial intelligence and social science methodology.
- Platform to contribute to discussions shaping the future of evidence-based research and establish academic collaborations.
Dossier de candidature
- Proposed research addressing a clear methodological question related to AI and social science.
- Submission explaining the research problem, describing proposed methods, and demonstrating findings on reliability, validity, or practical application.
- Discussion of evaluation procedures, limitations, potential biases, and implications for social science inference where applicable.
- Papers or posters meeting all stated formatting requirements and eligibility criteria.
Comment postuler
Interested researchers should visit the official AI for Social Science Research Methods Conference website to access registration information, paper submission guidelines, conference updates, and logistical details.
Applicants should consult the official submission section for instructions, deadlines, formatting requirements, and eligibility criteria. Prospective participants should also consult the official website for confirmed attendance arrangements and registration requirements.
Dates : April 28–29, 2027
Lieu : Kline Tower, 14th Floor, Yale University, New Haven, Connecticut, United States
Référence : AI for Social Science Research Methods Conference 2027