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Data-Driven Chat: Behavioural Science of Inclusive AI || Juliette Tobias-Webb

Data-Driven Chat: Behavioural Science of Inclusive AI || Juliette Tobias-Webb

In this episode, Prof. Ganna Pogrebna talks to Dr Juliette Tobias-Webb about #behaviouralscience, #AI, #emergingtechnologies, and #inclusion. Juliette is a Behavioural Scientist and one of 60 Australian women nominated as a 'Superstar in STEM'. Juliette uses behavioural science insights and methods to design a better world for people, organisations and communities. Juliette is passionate about working with companies and researchers to design and rigorously test solutions that encourage positive behavioural outcomes. She specialises in large scale behavioural change and in designing for individuals facing more complex cognitive situations (mental health, addiction, cognitive decline). She is also passionate about helping individuals be more productive, set and stick to goals, have better wellbeing and feel happier. Juliette has a PhD in Experimental Psychology from the University of Cambridge. She enjoyed stints as a lecturer and research officer at globally-renowned institutions including the University of British Columbia, the University of Sydney, Bond University, and Kaplan University. She has also published a number of journal articles in leading psychology and neuroscience journals. She currently teaches an evidenced-based MBA Leadership course that covers topics such as empowerment, motivation, resilience, wellbeing and equality through organisational design. Commercially, Juliette has worked for a range of leading government and corporate organisations to develop programs of work encouraging and measuring positive human behaviour change. She was a Senior Manager in Behavioural Science for Commonwealth Bank, the Behaviour Change Lead for Ogilvy Australia and a Research Fellow for the Behavioural Insights Team. To learn more about Juliette's work, check out
Data Driven Chat: Digital Humanities - the New Frontier || Andres Karjus

Data Driven Chat: Digital Humanities - the New Frontier || Andres Karjus

In this episode of Data Driven chat, Professor Ganna Pogrebna interviews Andres Karjus (Research Fellow, School of Humanities, Tallinn University) on digital humanities. Watch this interview to find out more about the current trends in sociolinguistics as well as language and culture dynamics; and learn how analysis of language and images can help us better understand ourselves, our history, and predict the future. Andres Karjus is a computational linguist who recently completed his PhD on the topic of lexical dynamics at the Centre for Language Evolution at the University of Edinburgh. He studies language and culture using a combination of text corpora, computational simulations and human experiments. All these approaches produce lots of information, usually too much to analyze qualitatively - this is where the careful application of machine learning and rigorous statistical modelling can help to make sense of (and make predictions based on) the data. Andres is currently engaged in a number of projects, involving artificial language experiments, looking into changes in language in social and traditional media, and investigating dynamics of visual art complexity. He also teaches occasional workshops and courses on data visualization and R. More information about Andres and his work can be found here: website: github: twitter: @AndresKarjus Materials, referenced in this episode: Compression ensembles quantify aesthetic complexity and the evolution of visual art
Data Driven Chat: AI Will See You Now: AI Bias in HR Analytics & Management || Merve Hickok

Data Driven Chat: AI Will See You Now: AI Bias in HR Analytics & Management || Merve Hickok

In this episode of Data Driven Chat, Ganna Pogrebna interviews Merve Hickok on #ai, #ethics, #bias and #responsibility. How can we avoid #aibias in #decisionmaking with regard to #humanresources? From AI-based recruiters to data-driven psychological matching of people to roles, AI penetrates much of the #HR decision making. How do we make sure that it is used in responsible and ethical way? Click to find out. Merve Hickok is the founder of Lighthouse Career Consulting and , which is a global repository for published AI Principles, Frameworks & Guidelines, National Strategies, Organizations, Pledges, Legislation, Case Studies – as well as research on AI impact on Justice System, Future of Work and Public Disinformation. Merve has 15+ years of senior level HR & Sales experience in Fortune 100 companies (Bank of America Merrill Lynch, Marriott Corporation), working on Diversity & Inclusion, College Recruitment, HR Technologies and Sales projects spanning more than 20 countries. She currently works at a Nevada-based social enterprise (High Sierra Industries) focused on learning systems for individuals with intellectual disabilities. She is in charge of HIPAA Privacy & Security, as well as the overall information security for the organization. Merve is also a member of the board of directors for Northern Nevada International Center (University of Nevada-Reno), Management Committee member for Sierra Club Toiyabe (Nevada) Chapter, and volunteers for a number of organizations working on community empowerment. Merve’s AI ethics advocacy work through lectures, speaking engagements and her website on AI & ethics and bias is focused on elevating the conversation, and increasing the public knowledge of the impact of AI and automated decision making systems in our lives and working for oversight, transparency or accountability. Find out more about Merve via: LinkedIn Twitter @HickokMerve Website
Data Driven Chat: UX Design and Behavioural Data Science || Dimitris Niavis

Data Driven Chat: UX Design and Behavioural Data Science || Dimitris Niavis

In this episode of Data Driven Chat, Ganna Pogrebna interviews Dimitris Niavis (Senior UX Designer, Co-Founder of Seque) on the recent developments in #UXdesign. What is the difference between user interface and user experience? How can #behaviouralscience and behavioural #data be integrated into UX design? What are the common mistakes that are usually made by companies (and even sectors) in this domain? Is there a trade-off between #UX design and #privacy? How can we make sure that UX design is based on behavioural data which is collected in #responsible and ethical way? How to best integrate #AI into UX design? Click here to find out! Dimitris is a product and systems-design engineer by training and a human-centered, interdisciplinary designer by choice. He has worked for startups, small-to-medium businesses (SMBs), and multinational enterprises, designing business-to-business (B2B) and business-to-consumer (B2C) platforms and applications. He is also a Co-Founder of Seque, a productivity tool for iOS. He takes a systems approach to UX and product design and is strong proponent of human-centered, evidence-based innovation. He holds an integrated Master’s in product and systems-design engineering from University of the Aegean. Connect with Dimistris via: LinkedIn: Medium: Twitter: Seque: Book suggestion: Film suggestion: Character:
Data Driven Chat: Making AI Work for Business and Society || Nigel Newton

Data Driven Chat: Making AI Work for Business and Society || Nigel Newton

In this episode of Data Driven Chat, Ganna Pogrebna Interviews Nigel Newton (AI Consultant and Strategist). How can business and society effectively use AI to increase economic, social outcomes as well as wellbeing? Click to find out! As an #emerging #technology specialist Nigel currently works in #AppliedAI. His strength is understanding customer needs, gathering requirements and developing solutions that recognize objectives through the application of emerging technologies. In Applied #AI, we usually take known #machinelearning methodology and processes to address real world opportunities. From #predictive #analytics to #conversationalAI with #chatbots and voice, to computer vision powering image recognition, object detection and augmented reality, Nigel's objective is to combine ability of organisations to develop solutions that create value with outcomes that in some way improve the quality of our lives. Over his 16 years in digital, Nigel has taken his passion for the latest digital technologies guiding brands and businesses through web, mobile, social, online advertising, augmented reality, virtual reality, video streaming and now AI. He brings his range of skills and AI experience to the Chair of the Advisory Board to the Screen Industries Research & Training (SIRT) Centre at Pinewood Toronto Studios and their current focus on Virtual Production workflows and Intelligent Digital Humans. He previously chaired both the AI and Emerging Technology Committee and the AR/VR Committee for the Interactive Advertising Bureau in Canada. Studying and practicing architecture and design gave Nigel a foundation in design thinking which he continues to apply in developing solutions. He developed his first digital products with indie labels in the music business. When Napster disrupted the business model and labels handed digital music over to Apple for iTunes, Nigel moved on to build Canada’s first social network for young women, a boomer web portal for Rogers and a virtual showroom for Nissan with Layar at Postmedia. Connect with Nigel via: LinkedIn Also, check out these links: Filament AI case studies Nissan Virtual Showroom Consider Phlebas Drunkard’s Walk Bladerunner Director’s Cut Looper Machine Learning for Business Professionals (now titled “Managing Machine Learning Projects with Google Cloud”). Tigger
Data Driven Chat: How To Build a Resilient Career in a World of AI-driven Change || Sunil Kappal

Data Driven Chat: How To Build a Resilient Career in a World of AI-driven Change || Sunil Kappal

In this episode of Data Driven Chat Ganna Pogrebna interviews Sunil Kappal on how to build a resilient career in a world of constant AI-driven and data-driven change. The discussion touches on many topics including people analytics and career in AI. Sunil shares many practical tips on how to develop skills necessary for becoming a success in data analytics and STEM-related sectors. Sunil Kappal is a data science enthusiast with over 21+ years of work experience with a major portion (15 years) of it dedicated to data analytics, statistical modeling, and predictive analytics for fortune 100 to 500 organizations. He is a founder of the Data Dojo analytics awareness website where I focus to share complex analytics routines in an easy to understand language, I am also a freelance data analytics mentor and trainer. He is highly Successful in enabling organizations in leveraging structured and unstructured data to design and implement analytical products focused to drive process improvements and generate ROI. Sunil is a Lucknow trained professional (MDP Program 2015) and a trained data analytics professional. He is hands on with Bayesian Classification, Regression, ARIMA, and Decision Trees, Statistical Analysis methods with deep understanding of domains like (Healthcare, Telecom, Utilities, Finance, HR Analytics and People Analytics). Sunil is well versed with BI platforms like Tableau, Power BI, Microstrategy and ML/statistical applications like R, Python, RapidMiner to name a few. He worked on 100+ Analytics projects with identified/delivered ROI of $500M. Sunil has also published two research papers on data normalization using median absolute deviation, fraud detection using conversational outputs and Benford’s law of first digit. Connect with Sunil via his LinkedIn page: Or check out his personal web profile:

Areas of Interest

Economics & Business:

Behavioural Data Science
Anthropomorphic Learning
Decision Theory and Game Theory
Behavioural Science

Behavioural  Design
Risk and Decision Making

AI, Science & Engineering:

AI and Machine Learning
Data Science

Human-Machine Teaming

Digital Leadership
Cybersecurity and Cybersecurity Risks
Digital Economy and Innovation
Personal Data
Business Models
Smart Cities

Google Scholar Citations

(articles only):


Total Competitive Grant Funding from 2011 to 2023:

£15.8 million=$20.1 million= AU$30.5 million

Citations per Year 2022-2023:


Copyright  © Ganna Pogrebna 2023

All rights reserved

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