While AI models and data analytics create a world of new possibilities for identifying business insights, they have also created numerous new privacy implications and ethical responsibilities for insights professionals. With International Data Privacy on January 28, 2021, the Canadian Research Insights Council (CRIC) AI & Data Analytics Thought Leadership Council and ESOMAR have organized an online panel of leading data privacy professionals to explore key questions related to privacy in the era of AI and data analytics. The panel will explore the implications of Canada's proposed Digital Charter Implementation Act (Bill C-11), that intends to establish a new privacy law for the private sector and new powers for the Office of the Privacy Commissioner, the role of standards in data governance, transparency of algorithms and decision systems, and ethical implications of data collection and insights generation. The panel will also describe a new guideline being developed by ESOMAR and GRBN for researchers and clients when processing secondary data for research. The panel will be moderated by Briana Brownell, CEO of Pure Strategy AI, and member of CRIC's AI & Data Analytics Thought Leadership Council.
Following yesterday's engaging Mainstage discussion on diversity, equity, and inclusion, we invite you to a practical workshop to learn and explore principles, tools and techniques that you can immediately put to use in your day to day work.Join us to learn and contribute to the discussion about our ethical responsibility to underrepresented and marginalized communities and how we, as researchers, can commit to diversity, equity and inclusion through actionable frameworks.
Following yesterday's engaging Mainstage discussion on diversity, equity, and inclusion, we invite you to a practical workshop to learn and explore principles, tools and techniques that you can immediately put to use in your day to day work.Join us to learn and contribute to the discussion about our ethical responsibility to underrepresented and marginalized communities and how we, as researchers, can commit to diversity, equity and inclusion through actionable frameworks.
For some time now, market researchers have realized that the volume of behavioral and attitudinal data now being generated, literally on an hourly basis, has the potential to fundamentally change how we help our clients better understand their customers and the markets in which they compete. The technologies and tools required to access, combine, and analyze these data already exist, and marketers and advertisers are using them on a broad scale. But within the market research sector, the promise of so-called 'big data' remains unfulfilled.This webinar will explore these and related issues. We will look at some of the ways in which marketers are taking advantage of the data tsunami to create powerful new insights about consumers. We also will consider the ways in which two values that comprise the foundation of market research -validity and respect for the privacy of those whose data we process- need to be rethought in this new context. Attendees will come away with a renewed sense of what is possible when working with these data, and a clearer perspective on the challenges market researchers face as they transition their work to these new ways of developing insights.
The main 3 takeaways of the presentation are: - How will the 4th Industrial Revolution change design?- Why is 'ease of use' no longer the pinnacle of good design in the Age of AI?- What are the five principles for design moving forward?
Last year at Congress, HERE Technologies and BuzzBack presented a transformative look at consumer perceptions of data privacy and collection. This year, HERE Technologies and Buzzback, in partnership with ESOMAR and Cint, revisit the topic with a new global study across 12 markets that demonstrates, for brands, poor ethical and transparent data collection has a far-reaching impact on the bottom line.
The objective of this work is to describe the four stages to create a successful digital laboratory, which allows, for example, testing territories of communication in social networks. This would mean that it is possible to pre-test the content of a brand anonymously, shielding it from negative comments, and fostering a positive dialogue between brands and users. It should be noted that this document was written by the director of this methodology, who has theorized and implemented content-based research methodologies over the last three years. The paper dictates the best practices of content-based research. It is also the author's reflection of the theory and practice obtained by the constant implementation and monitoring of digital laboratories.
The purpose of the Duty of Care Guideline is to advise researchers and the organisations in which they work on their responsibilities to protect the privacy and well-being of data subjects. It provides organisations with flexibility to formulate their own solution to mitigate and address the risks inherent to the type of research they may conduct or commission.
The objective of this work is to describe the four stages to create a successful digital laboratory, which allows, for example, testing territories of communication in social networks. This would mean that it is possible to pre-test the content of a brand anonymously, shielding it from negative comments and fostering a positive dialogue between brands and users. It should be noted that this document was written by the director of this methodology, who has theorised and implemented content-based research methodologies over the last three years. The paper dictates the best practices of content-based research. It is also the authors reflection of the theory and practice obtained by the constant implementation and monitoring of digital laboratories.
The objective of this paper is to describe the four stages to create a successful digital laboratory, which allows, for example, testing territories of communication in social networks. This would mean that it is possible to pre-test the content of a brand anonymously, shielding it from negative comments and fostering a positive dialogue between brands and users. It should be noted that this document was written by the director of this methodology, who has theorised and implemented content-based research methodologies over the last three years. The paper dictates the best practices of content-based research. It is also the authors reflection of the theory and practice obtained by the constant implementation and monitoring of digital laboratories.
The rapid explosion of technology has led to a new age where the checks and balances of ethical data collection and self-regulation that grew organically over the past 70 years are now often 'overlooked' in favor of speed and cost-efficiency -all these with detrimental effects. As part of ESOMAR's continued commitment to better understand how data is being used within and outside of organizations, how it is being controlled, and who 'owns' that data, we partnered with Kadence International to conduct a study amongst executives working in marketing, advertising, market research, and IT in North America, Europe and Asia. The results showed that although business leaders around the world put a high commercial value on consumer data, they pay far less emphasis on ensuring its security.
This paper reviews the key ethical, legal, technical and data quality challenges researchers face when working with these new data sources. Its goal is to start a conversation among researchers aimed at clarifying their responsibilities to those whose data we use in research, the clients we serve and the general public. It uses the term secondary data to mean data collected for another purpose and subsequently used in research. It expands on the traditional definition of secondary data to account for new types and sources of data made possible by new technologies and the Internet. It is used here in place of the popular but often vague term, big data, and is meant to include data from various sources, such as transactions generated when people interact with a business or government agency; postings to social media networks and the Internet of Things (IOT). It is distinct from primary data, meaning data collected by a researcher from or about an individual for the purpose of research.