
We invite you to submit a proposal by September 16 for a roughly 30-minute presentation and written paper! Presentations must be delivered in person at The Watergate Hotel in Washington, DC during the conference.
We like to receive proposals from practitioners/academics as well as corporate researchers. We plan to reserve about four speaking slots for corporate researcher led papers.
This is a practitioner-aimed quant conference and we're looking for practical, results-based research that attendees can take back to the office and use. Papers should appeal to both the least sophisticated and most sophisticated members of the audience.
We're looking to increase diversity in the program in terms of demographics, industries, and new perspectives. Even if you've never presented at a conference before, we welcome your proposal! If you know of great speakers in underrepresented groups, please let us know and we'll reach out to invite them to submit.
Presenters are required to do the following:
Presenters receive a complimentary conference registration (one per presentation).
We are interested in papers on a variety of subjects, including: general survey issues, large/small screen surveys, combining survey data with market data, AI in marketing research, chat-bot data collection, data quality, market segmentation, scale development, customer satisfaction modeling, conjoint/menu/choice analysis, MaxDiff (best-worst scaling), hierarchical Bayes methods, forecasting, pricing research, market simulations, search optimization, text analytics, and case studies.
Submissions that incorporate AI-driven methods must include sufficient detail — typically in an appendix — to enable others to reproduce your work. Please provide a high-level sketch or pseudocode of any algorithmic workflows, clearly identify the AI models (including versions and parameter settings) and data sources you used, and supply the prompt texts or API calls involved in generating stimuli, synthetic respondents, images, or other materials. We strongly encourage linking to a public code repository (e.g., GitHub) containing scripts, configuration files, and sample data so that others can access, validate, and extend your AI-enhanced methodologies.
Papers need not involve Sawtooth Software's programs or approach. No proprietary or patented methods are permitted. We of course welcome proposals involving conjoint analysis and MaxDiff, but we will give slight preference to proposals that involve other topics.
If your abstract is accepted, a member of the steering committee will review early drafts of your presentation and offer suggestions. Authors are expected to consider these suggestions conscientiously and rework their presentations as needed. Sawtooth Software reserves the right to remove any author from the program or proceedings that fails to meet deadlines or produce high quality work.
Best regards,
Bryan Orme
CEO
Sawtooth