NORC Research Training Courses transform the methodological expertise NORC has developed across hundreds of large-scale research projects into accessible training for researchers at every career stage. Each course is led by NORC experts who bring firsthand experience designing, implementing, and evaluating research across multiple industries and federal clients.
Our current course offerings focus on two areas reshaping survey research today: the applied use of generative AI in research workflows and the design and implementation of mixed-mode surveys. Courses are available on Udemy.
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Our Courses
Generative AI in Survey Research
This course covers practical frameworks for using AI in applied research settings, including prompt engineering, AI-assisted conversational interviewing, open-ended response coding, and synthetic response generation. Participants also learn to evaluate output quality, address bias and transparency concerns, and assess fit for purpose.
Mixed-Mode Survey Designs
This three-part series explores why mixed-mode surveys are critical in an era of declining participation rates and tighter budgets. Courses take a practical look into the major contact and data collection modes, how to combine and sequence them, and critical tools to manage these designs. Integrates theory with real-world NORC case studies.
View The Importance of Mixed-Mode Designs on Udemy→
Course Instructors
Our courses are developed and led by NORC methodological experts whose research spans survey design, statistical and computational methods, natural language processing, machine learning, and the applied use of generative AI.
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Soubhik Barari
Senior Research MethodologistGenerative AI -
Joshua Lerner
Senior Research MethodologistGenerative AI -
Ipek Bilgen
Principal Research MethodologistMixed-Mode -
Leah Christian
Senior Vice PresidentMixed-Mode -
Christopher Hansen
Senior Research MethodologistMixed-Mode -
Brian M. Wells
Senior Research MethodologistMixed-Mode -
Ting Yan
Vice PresidentMixed-Mode