Survey Monkey's Jon Cohen employs Silicon Valley influence in the realm of polling
In the latest episode of the bipartisan podcast "Politics. Policy. Polling. Pop Culture," hosts Margie Omero and Kristen Soltis Anderson delve into the future of polling and the potential of emerging technology to ensure more accurate and inclusive data collection.
On this occasion, Jon Cohen, a renowned social scientist and researcher from Survey Monkey, was the guest. The conversation focused on tackling polling challenges with computational power and big data.
Cohen, who is known for his work in leveraging Silicon Valley innovations to improve public opinion research, discussed the application of agile, scalable online survey technologies and advanced data analytics. This approach enables real-time data collection, machine learning, and large-scale online panels to capture diverse respondent insights while addressing biases and sampling challenges traditionally associated with public opinion polling.
The podcast lifted the hood on the numbers to reveal hidden secrets of the public's mind, providing fresh, friendly insights on the numbers driving the week's biggest stories in news, politics, tech, entertainment, and pop culture.
In the episode, the hosts and their guest addressed sample quality and response rates in modern polling using advanced analytics. They also discussed the potential of integrating Silicon Valley methodologies with traditional polling, offering a glimpse into the exciting possibilities that lie ahead for the field of public opinion research.
The podcast is not limited to discussing polling insights; related posts on the website include topics such as exploring different polling rates, deciphering Bayesian statistics, melding probability and statistics, the impact of Nielsen Surveys, crafting a survey world legitimacy check, evaluating student perception surveys, maximizing results with Survey Monkey, and a resource guide for the National Center for Health Statistics.
Tune in to "Politics. Policy. Polling. Pop Culture." for engaging discussions on the intersection of politics, policy, and public opinion, featuring interviews with pollsters, journalists, and other industry leaders.
- The bipartisan podcast, "Politics. Policy. Polling. Pop Culture," delves into the future of polling and emerging technology for more accurate and inclusive data collection.
- In the latest episode, Margie Omero and Kristen Soltis Anderson discuss tackling polling challenges with computational power and big data with guest Jon Cohen.
- Cohen, a researcher from Survey Monkey, addresses the application of online survey technologies and advanced data analytics for real-time data collection.
- Using agile, scalable online survey tech and data analytics, diverse respondent insights are captured, including behavior and opinions, while addressing biases and sampling challenges.
- The podcast not only provides insights on polling but also covers related topics, such as deciphering Bayesian statistics, melding probability and statistics, and crafting a survey world legitimacy check.
- On the podcast website, posts cover various aspects of polling, including exploring different polling rates, Nielsen Surveys, and student perception surveys.
- Podcast episodes offer fresh insights not only on the week's biggest news, politics, and technology stories, but also on entertainment and pop culture.
- Tune in to "Politics. Policy. Polling. Pop Culture" for engaging discussions about politics, policy, and public opinion featuring interviews with pollsters, journalists, and other industry leaders.
