Ganna Pogrebna is a British behavioural data scientist. She started her career as an economist and a decision theorist. Currently, she is a Professor of Behavioral Business Analytics and Data Science at the University of Sydney (Australia). She also serves as a Lead of Behavioral Data Science strand at the Alan Turing Institute – the national centre for AI and Data Science in London (UK), where Ganna is a fellow working on hybrid modelling approaches between behavioral science and data science. Blending behavioral science, data analytics, engineering, and business model innovation, Ganna helps businesses, charities, and public sector organisations, and individuals to better understand why they make decisions they make and how they can optimize their behavior to achieve higher profit, better social and commercial outcomes, as well as flourish and bolster their wellbeing. Her recent projects focus on the role of smart technological and social systems, human-computer and human-data interactions, as well as human-machine teaming in organizations and how these current and future technologies impact leadership and leaders' decision making. Ganna published extensively in high-quality per-refereed journals. Her work on risk analytics and behavioral science was recognized by the Leverhulme Research Fellowship award. In January 2020, she was also named as the winner of TechWomen100 – the prize awarded to leading female experts in Science, Technology, Engineering and Mathematics in the UK.

Karen Renaud is a Scottish Computer Scientist, researcher and professor, working on all aspects of Human-Centred Security and Privacy. She is a Professor of Human-Centered Security at the University of Strathclyde. Karen’s research focuses on human-centred security, a branch of Human Computer Interaction (HCI). She is interested in the interplay between users and security in the context of societal and industrial use. She works towards creating a natural easy yet secure interaction between humans and devices. Her work has a strong development, experimental and deployment focus, testing solutions in practical situations. Karen has come up with a number of novel solutions to improve usability in a wide range of situations. She has also done fundamental work in understanding people’s mental models of security in a variety of applications and contexts. Karen is the recipient of many prizes and awards, including The Fulbright Scholarship and the Literati Award. She is a great example of truly interdisciplinary scholar, who successfully combines computer science, cyber security and behavioural science. Karen's work uses behavioural science techniques to improve security behaviours and to encourage end-user privacy-preserving behaviours. Her ground-breaking research harnesses methods and techniques from many disciplines, including behavioral science, to understand and influence people outcomes and reach behavioural change.

Marina Kovaleva is a visionary artist and a contemporary conceptualist painter. Her colorful paintings express the vibrant spirit and atmosphere inspired by culture, symbolism, and nature. Marina primarily works with oil and believes that oil painting helps her to better express her thoughts and worldview on canvas. Futuristic and conceptual landscapes, people, animals, and flowers are all brought to life with contrasting and harmonious colors, bold compositions, and artistic courage. Marina considers art to be a gateway to her feelings and emotions, which creates endless opportunities to communicate her creative ideas to a broader public. Her paintings are featured in many art collections in the US, Germany, Latvia, Ukraine, and  Moldova along with other countries.