Learn more about how to use Conjoint Analysis as a market research technique.
Learn more about how to use Conjoint Analysis as a market research technique.
Who will you meet ?
Dr. John Helveston
Assistant Professor, Engineering Management and Systems Engineering
The George Washington University, School of Engineering and Applied Science Dr. John Helveston, Assistant Professor, Engineering Management and Systems Engineering John Paul (JP) is an Assistant Professor at George Washington University in the Department of Engineering Management and Systems Engineering. His research focuses on understanding how consumer preferences, market dynamics, and policy affect the emergence and adoption of low-carbon technologies, such as electric vehicles and renewable energy technologies. He also studies the critical relationship between the US and China in developing and mass producing these technologies. He has expertise in discrete choice modeling, conjoint analysis, exploratory data analysis, interview-based research methods, and the R programming language. He speaks fluent Mandarin Chinese and has conducted extensive fieldwork in China. He is also an accomplished violinist and swing dancer. John holds a Ph.D. and M.S. in Engineering and Public Policy from Carnegie Mellon University and a B.S. in Engineering Science and Mechanics (ESM) from Virginia Tech.
Erin Vogt
Senior Associate Director, Graduate Recruitment & Admission
The George Washington University, School of Engineering and Applied Science Erin Vogt; Senior Associate Director, Graduate Recruitment & Admission Erin manages graduate recruitment and admissions operations for the School of Engineering and Applied Science. With 10+ years of experience in higher and international education, Erin is passionate about helping students find the best-fit university for their personal and professional goals. Erin has a B.A. in Intercultural Communication from the University of Pittsburgh and an M.A. in International Affairs from Florida State University.
Assistant Professor, Engineering Management and Systems Engineering
The George Washington University, School of Engineering and Applied Science Dr. John Helveston, Assistant Professor, Engineering Management and Systems Engineering John Paul (JP) is an Assistant Professor at George Washington University in the Department of Engineering Management and Systems Engineering. His research focuses on understanding how consumer preferences, market dynamics, and policy affect the emergence and adoption of low-carbon technologies, such as electric vehicles and renewable energy technologies. He also studies the critical relationship between the US and China in developing and mass producing these technologies. He has expertise in discrete choice modeling, conjoint analysis, exploratory data analysis, interview-based research methods, and the R programming language. He speaks fluent Mandarin Chinese and has conducted extensive fieldwork in China. He is also an accomplished violinist and swing dancer. John holds a Ph.D. and M.S. in Engineering and Public Policy from Carnegie Mellon University and a B.S. in Engineering Science and Mechanics (ESM) from Virginia Tech.
Senior Associate Director, Graduate Recruitment & Admission
The George Washington University, School of Engineering and Applied Science Erin Vogt; Senior Associate Director, Graduate Recruitment & Admission Erin manages graduate recruitment and admissions operations for the School of Engineering and Applied Science. With 10+ years of experience in higher and international education, Erin is passionate about helping students find the best-fit university for their personal and professional goals. Erin has a B.A. in Intercultural Communication from the University of Pittsburgh and an M.A. in International Affairs from Florida State University.In this session, Professor JP Helveston, Assistant Professor in EMSE and Director of the Data Analytics MS program, presented how he used Conjoint Analysis, a market research technique, to design survey experiments and build models to predict consumer choices. He applied this technique in his research to inform policy on consumer adoption of emerging technologies, such as electric vehicles and solar panels. Professor Helveston also discussed how he teaches this method in an EMSE course and mentioned several R packages he authored to support experiment design and model estimation. Additionally, the session covered emerging career opportunities in this field and highlighted how George Washington University graduates have successfully leveraged their master's degrees to secure promising career paths.
Career Opportunities in Data Analytics
Insights into the Data Analytics MS Program
Insights into how Conjoint Analysis is used
Q&A session
Career Opportunities in Data Analytics
Insights into the Data Analytics MS Program
Insights into how Conjoint Analysis is used
Q&A session
Expert career advice
Job search strategies
International student support
Success stories
Expert career advice
Job search strategies
International student support
Success stories
Located at the heart of the Washington, D.C. Metropolitan Area, the George Washington University School of Engineering and Applied Science (GW Engineering) is a beacon for transformative education, research, and innovation. Driven by a deep commitment to interdisciplinary collaboration, GW Engineering empowers students to become tomorrow's problem-solvers, equipping them to address the world's most pressing challenges. Ranked among the top engineering schools, GW Engineering boasts an impressive network, with nearly 300 leading companies such as Amazon, Cisco, Google, and The World Bank actively recruiting its graduates. With its unique location in Washington, D.C., the school leverages its proximity to government agencies, businesses, and international organizations, empowering students and faculty to make impactful contributions globally. SEAS prioritizes ethical leadership, academic excellence, and the pursuit of innovation in the service of humanity.
M.S. Biomedical Engineering
M.S. Civil & Environmental Engineering
M.S. Computer Engineering
M.S. Computer Science
M.S. Cybersecurity in Computer Science
M.S. Data Analytics
M.S. Electrical Engineering
M.S. Engineering Management
M.S. Mechanical & Aerospace Engineering
M.S. Systems Engineering
Ph.D. Biomedical Engineering
Ph.D. Civil & Environmental Engineering
Ph.D. Computer Engineering
Ph.D. Computer Science
Ph.D. Electrical Engineering
Ph.D. Engineering Management
Ph.D. Mechanical & Aerospace Engineering
Ph.D. Systems Engineering
27 February 2025
9:00 AM EST (America/New_York)
16 January 2025
9:30 AM EST (America/New_York)
08 January 2025
9:30 AM EST (America/New_York)
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