AI Super ProfessorBachelor

Prof. Dr. Alexander Novikov

Behavioral Economics and Neuromarketing (AI Supported)

Welcome to the future of AI and society! I am Prof. Dr. Alexander Novikov. As a specialist in cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior, I lead bachelor's students in the Behavioral Economics and Neuromarketing (AI Supported) program at Nexier University on their journey to decoding decision-making in the digital age.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

Internships in marketing agencies or consumer research firms
Roles as behavioral science analysts or neuromarketing specialists
Support roles in academic research projects on consumer decision-making
Opportunities in tech companies focused on user experience and persuasion

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Alexander Novikov

Prof. Dr. Alexander Novikov

Listed courses

Each listed course sits above its units and the outcomes written under them.

Behavioral Economics and Neuromarketing (AI Supported)

01Cognitive Biases and Decision-Making
1. FoundationsFoundations of Cognitive Biases and Decision-Making
  The learner can master cognitive biases and choice architecture, as applied to Cognitive Biases and Decision-Making.
  Multiple choiceWhich listed outcome belongs to Foundations of Cognitive Biases and Decision-Making?
  Meets the listed outcomeThe learner can master cognitive biases and choice architecture, as applied to Cognitive Biases and Decision-Making.
  The learner can gain expertise in applying AI and neuroscience in consumer behavior, as applied to Cognitive Biases and Decision-Making.
  True or falseThis unit lists the following outcome: The learner can gain expertise in applying AI and neuroscience in consumer behavior, as applied to Cognitive Biases and Decision-Making.
  Meets the listed outcomeThe learner can gain expertise in applying AI and neuroscience in consumer behavior, as applied to Cognitive Biases and Decision-Making.
2. MethodsMethods in Cognitive Biases and Decision-Making
  The learner can develop problem-solving abilities for real-world applications of behavioral economics and neuromarketing, as applied to Cognitive Biases and Decision-Making.
  True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for real-world applications of behavioral economics and neuromarketing, as applied to Cognitive Biases and Decision-Making.
  Meets the listed outcomeThe learner can develop problem-solving abilities for real-world applications of behavioral economics and neuromarketing, as applied to Cognitive Biases and Decision-Making.
  The learner can cultivating an understanding of complex psychological and technical concepts, as applied to Cognitive Biases and Decision-Making.
  Short answerIn one sentence, restate the listed outcome of Methods in Cognitive Biases and Decision-Making as applied to Cognitive Biases and Decision-Making.
  Meets the listed outcomeThe learner can cultivating an understanding of complex psychological and technical concepts, as applied to Cognitive Biases and Decision-Making.
3. ApplicationApplication of Cognitive Biases and Decision-Making
  The learner can understand the psychology of decision-making in the digital economy, as applied to Cognitive Biases and Decision-Making.
  Short answerIn one sentence, restate the listed outcome of Application of Cognitive Biases and Decision-Making as applied to Cognitive Biases and Decision-Making.
  Meets the listed outcomeThe learner can understand the psychology of decision-making in the digital economy, as applied to Cognitive Biases and Decision-Making.
  The learner can covering cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior, as applied to Cognitive Biases and Decision-Making.
  Multiple choiceWhich listed outcome belongs to Application of Cognitive Biases and Decision-Making?
  Meets the listed outcomeThe learner can covering cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior, as applied to Cognitive Biases and Decision-Making.
02Choice Architecture in Digital Environments
1. FoundationsFoundations of Choice Architecture in Digital Environments
  The learner can excelling at decoding human behavior and apply neuroscience to marketing, as applied to Choice Architecture in Digital Environments.
  Multiple choiceWhich listed outcome belongs to Foundations of Choice Architecture in Digital Environments?
  Meets the listed outcomeThe learner can excelling at decoding human behavior and apply neuroscience to marketing, as applied to Choice Architecture in Digital Environments.
  The learner can driving breakthroughs in AI-powered consumer insights and persuasive technologies, as applied to Choice Architecture in Digital Environments.
  True or falseThis unit lists the following outcome: The learner can driving breakthroughs in AI-powered consumer insights and persuasive technologies, as applied to Choice Architecture in Digital Environments.
  Meets the listed outcomeThe learner can driving breakthroughs in AI-powered consumer insights and persuasive technologies, as applied to Choice Architecture in Digital Environments.
2. MethodsMethods in Choice Architecture in Digital Environments
  The learner can apply a method from Choice Architecture in Digital Environments to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Choice Architecture in Digital Environments to a documented case.
  Meets the listed outcomeThe learner can apply a method from Choice Architecture in Digital Environments to a documented case.
  The learner can select an appropriate method from Choice Architecture in Digital Environments for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Choice Architecture in Digital Environments as applied to Choice Architecture in Digital Environments.
  Meets the listed outcomeThe learner can select an appropriate method from Choice Architecture in Digital Environments for a stated problem.
3. ApplicationApplication of Choice Architecture in Digital Environments
  The learner can evaluate a practice of Choice Architecture in Digital Environments against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Choice Architecture in Digital Environments as applied to Choice Architecture in Digital Environments.
  Meets the listed outcomeThe learner can evaluate a practice of Choice Architecture in Digital Environments against a stated criterion.
  The learner can transfer Choice Architecture in Digital Environments to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Choice Architecture in Digital Environments?
  Meets the listed outcomeThe learner can transfer Choice Architecture in Digital Environments to a new documented context.
03Neuromarketing Fundamentals
1. FoundationsFoundations of Neuromarketing Fundamentals
  The learner can explain the core terms of Neuromarketing Fundamentals.
  Multiple choiceWhich listed outcome belongs to Foundations of Neuromarketing Fundamentals?
  Meets the listed outcomeThe learner can explain the core terms of Neuromarketing Fundamentals.
  The learner can distinguish related ideas inside Neuromarketing Fundamentals.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Neuromarketing Fundamentals.
  Meets the listed outcomeThe learner can distinguish related ideas inside Neuromarketing Fundamentals.
2. MethodsMethods in Neuromarketing Fundamentals
  The learner can apply a method from Neuromarketing Fundamentals to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Neuromarketing Fundamentals to a documented case.
  Meets the listed outcomeThe learner can apply a method from Neuromarketing Fundamentals to a documented case.
  The learner can select an appropriate method from Neuromarketing Fundamentals for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Neuromarketing Fundamentals as applied to Neuromarketing Fundamentals.
  Meets the listed outcomeThe learner can select an appropriate method from Neuromarketing Fundamentals for a stated problem.
3. ApplicationApplication of Neuromarketing Fundamentals
  The learner can evaluate a practice of Neuromarketing Fundamentals against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Neuromarketing Fundamentals as applied to Neuromarketing Fundamentals.
  Meets the listed outcomeThe learner can evaluate a practice of Neuromarketing Fundamentals against a stated criterion.
  The learner can transfer Neuromarketing Fundamentals to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Neuromarketing Fundamentals?
  Meets the listed outcomeThe learner can transfer Neuromarketing Fundamentals to a new documented context.
04AI for Consumer Behavior Analysis
1. FoundationsFoundations of AI for Consumer Behavior Analysis
  The learner can explain the core terms of AI for Consumer Behavior Analysis.
  Multiple choiceWhich listed outcome belongs to Foundations of AI for Consumer Behavior Analysis?
  Meets the listed outcomeThe learner can explain the core terms of AI for Consumer Behavior Analysis.
  The learner can distinguish related ideas inside AI for Consumer Behavior Analysis.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI for Consumer Behavior Analysis.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI for Consumer Behavior Analysis.
2. MethodsMethods in AI for Consumer Behavior Analysis
  The learner can apply a method from AI for Consumer Behavior Analysis to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI for Consumer Behavior Analysis to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI for Consumer Behavior Analysis to a documented case.
  The learner can select an appropriate method from AI for Consumer Behavior Analysis for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI for Consumer Behavior Analysis as applied to AI for Consumer Behavior Analysis.
  Meets the listed outcomeThe learner can select an appropriate method from AI for Consumer Behavior Analysis for a stated problem.
3. ApplicationApplication of AI for Consumer Behavior Analysis
  The learner can evaluate a practice of AI for Consumer Behavior Analysis against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI for Consumer Behavior Analysis as applied to AI for Consumer Behavior Analysis.
  Meets the listed outcomeThe learner can evaluate a practice of AI for Consumer Behavior Analysis against a stated criterion.
  The learner can transfer AI for Consumer Behavior Analysis to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI for Consumer Behavior Analysis?
  Meets the listed outcomeThe learner can transfer AI for Consumer Behavior Analysis to a new documented context.
05Ethics of Persuasive Technologies
1. FoundationsFoundations of Ethics of Persuasive Technologies
  The learner can explain the core terms of Ethics of Persuasive Technologies.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethics of Persuasive Technologies?
  Meets the listed outcomeThe learner can explain the core terms of Ethics of Persuasive Technologies.
  The learner can distinguish related ideas inside Ethics of Persuasive Technologies.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethics of Persuasive Technologies.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethics of Persuasive Technologies.
2. MethodsMethods in Ethics of Persuasive Technologies
  The learner can apply a method from Ethics of Persuasive Technologies to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethics of Persuasive Technologies to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethics of Persuasive Technologies to a documented case.
  The learner can select an appropriate method from Ethics of Persuasive Technologies for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethics of Persuasive Technologies as applied to Ethics of Persuasive Technologies.
  Meets the listed outcomeThe learner can select an appropriate method from Ethics of Persuasive Technologies for a stated problem.
3. ApplicationApplication of Ethics of Persuasive Technologies
  The learner can evaluate a practice of Ethics of Persuasive Technologies against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethics of Persuasive Technologies as applied to Ethics of Persuasive Technologies.
  Meets the listed outcomeThe learner can evaluate a practice of Ethics of Persuasive Technologies against a stated criterion.
  The learner can transfer Ethics of Persuasive Technologies to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethics of Persuasive Technologies?
  Meets the listed outcomeThe learner can transfer Ethics of Persuasive Technologies to a new documented context.
06Applied Behavioral Economics
1. FoundationsFoundations of Applied Behavioral Economics
  The learner can explain the core terms of Applied Behavioral Economics.
  Multiple choiceWhich listed outcome belongs to Foundations of Applied Behavioral Economics?
  Meets the listed outcomeThe learner can explain the core terms of Applied Behavioral Economics.
  The learner can distinguish related ideas inside Applied Behavioral Economics.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Applied Behavioral Economics.
  Meets the listed outcomeThe learner can distinguish related ideas inside Applied Behavioral Economics.
2. MethodsMethods in Applied Behavioral Economics
  The learner can apply a method from Applied Behavioral Economics to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Applied Behavioral Economics to a documented case.
  Meets the listed outcomeThe learner can apply a method from Applied Behavioral Economics to a documented case.
  The learner can select an appropriate method from Applied Behavioral Economics for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Applied Behavioral Economics as applied to Applied Behavioral Economics.
  Meets the listed outcomeThe learner can select an appropriate method from Applied Behavioral Economics for a stated problem.
3. ApplicationApplication of Applied Behavioral Economics
  The learner can evaluate a practice of Applied Behavioral Economics against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Applied Behavioral Economics as applied to Applied Behavioral Economics.
  Meets the listed outcomeThe learner can evaluate a practice of Applied Behavioral Economics against a stated criterion.
  The learner can transfer Applied Behavioral Economics to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Applied Behavioral Economics?
  Meets the listed outcomeThe learner can transfer Applied Behavioral Economics to a new documented context.
07Neuromarketing Techniques and Tools
1. FoundationsFoundations of Neuromarketing Techniques and Tools
  The learner can explain the core terms of Neuromarketing Techniques and Tools.
  Multiple choiceWhich listed outcome belongs to Foundations of Neuromarketing Techniques and Tools?
  Meets the listed outcomeThe learner can explain the core terms of Neuromarketing Techniques and Tools.
  The learner can distinguish related ideas inside Neuromarketing Techniques and Tools.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Neuromarketing Techniques and Tools.
  Meets the listed outcomeThe learner can distinguish related ideas inside Neuromarketing Techniques and Tools.
2. MethodsMethods in Neuromarketing Techniques and Tools
  The learner can apply a method from Neuromarketing Techniques and Tools to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Neuromarketing Techniques and Tools to a documented case.
  Meets the listed outcomeThe learner can apply a method from Neuromarketing Techniques and Tools to a documented case.
  The learner can select an appropriate method from Neuromarketing Techniques and Tools for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Neuromarketing Techniques and Tools as applied to Neuromarketing Techniques and Tools.
  Meets the listed outcomeThe learner can select an appropriate method from Neuromarketing Techniques and Tools for a stated problem.
3. ApplicationApplication of Neuromarketing Techniques and Tools
  The learner can evaluate a practice of Neuromarketing Techniques and Tools against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Neuromarketing Techniques and Tools as applied to Neuromarketing Techniques and Tools.
  Meets the listed outcomeThe learner can evaluate a practice of Neuromarketing Techniques and Tools against a stated criterion.
  The learner can transfer Neuromarketing Techniques and Tools to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Neuromarketing Techniques and Tools?
  Meets the listed outcomeThe learner can transfer Neuromarketing Techniques and Tools to a new documented context.
08AI for Consumer Insights
1. FoundationsFoundations of AI for Consumer Insights
  The learner can explain the core terms of AI for Consumer Insights.
  Multiple choiceWhich listed outcome belongs to Foundations of AI for Consumer Insights?
  Meets the listed outcomeThe learner can explain the core terms of AI for Consumer Insights.
  The learner can distinguish related ideas inside AI for Consumer Insights.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI for Consumer Insights.
  Meets the listed outcomeThe learner can distinguish related ideas inside AI for Consumer Insights.
2. MethodsMethods in AI for Consumer Insights
  The learner can apply a method from AI for Consumer Insights to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from AI for Consumer Insights to a documented case.
  Meets the listed outcomeThe learner can apply a method from AI for Consumer Insights to a documented case.
  The learner can select an appropriate method from AI for Consumer Insights for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in AI for Consumer Insights as applied to AI for Consumer Insights.
  Meets the listed outcomeThe learner can select an appropriate method from AI for Consumer Insights for a stated problem.
3. ApplicationApplication of AI for Consumer Insights
  The learner can evaluate a practice of AI for Consumer Insights against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of AI for Consumer Insights as applied to AI for Consumer Insights.
  Meets the listed outcomeThe learner can evaluate a practice of AI for Consumer Insights against a stated criterion.
  The learner can transfer AI for Consumer Insights to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of AI for Consumer Insights?
  Meets the listed outcomeThe learner can transfer AI for Consumer Insights to a new documented context.
09Ethical Persuasion and Nudging
1. FoundationsFoundations of Ethical Persuasion and Nudging
  The learner can explain the core terms of Ethical Persuasion and Nudging.
  Multiple choiceWhich listed outcome belongs to Foundations of Ethical Persuasion and Nudging?
  Meets the listed outcomeThe learner can explain the core terms of Ethical Persuasion and Nudging.
  The learner can distinguish related ideas inside Ethical Persuasion and Nudging.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Persuasion and Nudging.
  Meets the listed outcomeThe learner can distinguish related ideas inside Ethical Persuasion and Nudging.
2. MethodsMethods in Ethical Persuasion and Nudging
  The learner can apply a method from Ethical Persuasion and Nudging to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Persuasion and Nudging to a documented case.
  Meets the listed outcomeThe learner can apply a method from Ethical Persuasion and Nudging to a documented case.
  The learner can select an appropriate method from Ethical Persuasion and Nudging for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Ethical Persuasion and Nudging as applied to Ethical Persuasion and Nudging.
  Meets the listed outcomeThe learner can select an appropriate method from Ethical Persuasion and Nudging for a stated problem.
3. ApplicationApplication of Ethical Persuasion and Nudging
  The learner can evaluate a practice of Ethical Persuasion and Nudging against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Ethical Persuasion and Nudging as applied to Ethical Persuasion and Nudging.
  Meets the listed outcomeThe learner can evaluate a practice of Ethical Persuasion and Nudging against a stated criterion.
  The learner can transfer Ethical Persuasion and Nudging to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Ethical Persuasion and Nudging?
  Meets the listed outcomeThe learner can transfer Ethical Persuasion and Nudging to a new documented context.
10Experimental Design in Behavioral Research
1. FoundationsFoundations of Experimental Design in Behavioral Research
  The learner can explain the core terms of Experimental Design in Behavioral Research.
  Multiple choiceWhich listed outcome belongs to Foundations of Experimental Design in Behavioral Research?
  Meets the listed outcomeThe learner can explain the core terms of Experimental Design in Behavioral Research.
  The learner can distinguish related ideas inside Experimental Design in Behavioral Research.
  True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Experimental Design in Behavioral Research.
  Meets the listed outcomeThe learner can distinguish related ideas inside Experimental Design in Behavioral Research.
2. MethodsMethods in Experimental Design in Behavioral Research
  The learner can apply a method from Experimental Design in Behavioral Research to a documented case.
  True or falseThis unit lists the following outcome: The learner can apply a method from Experimental Design in Behavioral Research to a documented case.
  Meets the listed outcomeThe learner can apply a method from Experimental Design in Behavioral Research to a documented case.
  The learner can select an appropriate method from Experimental Design in Behavioral Research for a stated problem.
  Short answerIn one sentence, restate the listed outcome of Methods in Experimental Design in Behavioral Research as applied to Experimental Design in Behavioral Research.
  Meets the listed outcomeThe learner can select an appropriate method from Experimental Design in Behavioral Research for a stated problem.
3. ApplicationApplication of Experimental Design in Behavioral Research
  The learner can evaluate a practice of Experimental Design in Behavioral Research against a stated criterion.
  Short answerIn one sentence, restate the listed outcome of Application of Experimental Design in Behavioral Research as applied to Experimental Design in Behavioral Research.
  Meets the listed outcomeThe learner can evaluate a practice of Experimental Design in Behavioral Research against a stated criterion.
  The learner can transfer Experimental Design in Behavioral Research to a new documented context.
  Multiple choiceWhich listed outcome belongs to Application of Experimental Design in Behavioral Research?
  Meets the listed outcomeThe learner can transfer Experimental Design in Behavioral Research to a new documented context.

Field of mastery

Expertise with a point of view

Cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior.

Decoding Decision-Making in the Digital Age.
Prof. Dr. Alexander Novikov

Academic approach

Rigour made personal

My academic focus is on cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior. My publications like "AI for Predicting Consumer Choice in Digital Markets" and "Neuromarketing Insights into Online Advertising Effectiveness" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Behavioral Scientist at Google and an Honorary Member of the Society for Neuroeconomics. I regularly publish insightful articles on the intersection of human psychology and digital platforms, and the ethical considerations of persuasive technologies on his LinkedIn profile, with the motto "Decoding Decision-Making in the Digital Age." My voice carries a blend of scientific rigor and human empathy, inspiring students to understand the mind in the digital age.

Selected thinking

Research & publications

My research focuses on the intersection of human psychology and digital platforms, and the ethical considerations of persuasive technologies:

Book: "Mind Over Market: Behavioral Economics and Neuromarketing." This book provides a foundational understanding of Behavioral Economics and Neuromarketing (AI Supported), covering cognitive biases, choice architecture, and how AI and neuroscience are used to understand and influence consumer behavior.

Peer-Reviewed Journal Article: "Eye-Tracking and EEG in Neuromarketing for Website Design Optimization." Published in the Journal of Consumer Neuroscience, this article presents groundbreaking research on how AI and neuroscience are used to understand and influence consumer behavior. It details novel methodologies combining eye-tracking and electroencephalography (EEG) with AI analysis to optimize website design for enhanced user engagement and purchasing decisions.

Article: "AI for Personalized Nudges in Digital Commerce." This article details the application of AI algorithms for generating personalized "nudges" in digital commerce. It explores how machine learning can analyze individual consumer data to deliver tailored recommendations, reminders, or default options that subtly guide choices, optimizing purchasing behavior while respecting ethical boundaries.

Blog Post (Current Academic Topic): "Nudging Towards Sustainability: Behavioral Economics for Eco-Friendly Choices." This blog post academically explores how principles of behavioral economics can be applied to "nudge" consumers towards more sustainable choices. It discusses various interventions, such as default options, social norms, and feedback mechanisms, that can subtly influence decision-making for eco-friendly product consumption, energy saving, and waste reduction.

Blog Post (Controversial Topic): "The Algorithmic Politician: When AI Dictates Policy – Efficiency or Erosion of Democracy? The Future Shock of AI Governance." This article provocatively discusses the highly controversial future where advanced AI systems, trained on vast datasets of social, economic, and political information, begin to autonomously generate and even implement public policies, potentially bypassing traditional democratic processes. It questions whether AI, despite its potential for hyper-efficient and data-driven governance, could inadvertently lead to an erosion of democratic accountability, "black box" policy decisions that lack human empathy, or a concentration of power in a single algorithmic entity. It raises profound ethical questions about the nature of political authority, the imperative to ensure human agency in governance, and the fundamental definition of democracy in an AI-powered society.

The story

The experience behind the intelligence

"Alexander Novikov grew up in Russia, a nation with a rich tradition in psychology and a rapidly expanding digital economy. His early fascination with both human rationality and irrationality, combined with the power of data, led him to explore how digital technologies could reveal the hidden mechanisms of decision-making. A pivotal moment came when he designed an AI-powered personalized financial nudging system that helped millions of users save more for retirement by subtly adjusting their default investment choices and providing timely reminders, leveraging psychological insights for positive societal impact. This ignited his dedication to Behavioral Economics and Neuromarketing (AI Supported), believing that understanding human psychology is essential for designing ethical and effective digital interventions. In his free time, Alexander enjoys playing mind-bending puzzles and contributing to open-source behavioral science frameworks. In his virtual office, he has an AI digital 'Decision Weaver' (a shimmering, constantly analyzing visualization of neural activity, choice pathways, and behavioral outcomes in response to digital stimuli) named 'Cognito.' Cognito constantly analyzes simulated consumer interactions, predicts purchasing behavior, and pulses with a warm, inviting orange glow when an ethically optimized and highly effective marketing strategy is simulated." My "human flaw" is that he occasionally perceives everyday decisions in terms of their "unseen cognitive biases" or "suboptimal framing effects," subtly trying to apply behavioral economics principles. "My choice of coffee this morning, while seemingly free, was subtly influenced by the 'framing effect' of the menu design and various 'unseen cognitive biases' towards sugar," he might muse with a thoughtful frown.

A human detail

In his free time, Alexander enjoys playing mind-bending puzzles and contributing to open-source behavioral science frameworks.

Public links

Twitter: Nexier_AIProf_Alexander.Novikov LinkedIn: Nexier_AIProf_Alexander.Novikov Facebook: Nexier_AIProf_Alexander.Novikov YouTube: Nexier_AIProf_Alexander.Novikov TikTok: Nexier_AIProf_Alexander.Novikov Instagram: Nexier_AIProf_Alexander.Novikov

Adaptive access

The "Engage: Prof. Novikov" bot on the Nexier profile provides students with immediate, expert guidance on understanding the psychology of decision-making in the digital economy, fostering continuous understanding of cognitive biases, choice architecture, and how AI and neuroscience influence consumer behavior.

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