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Working Papers

Drafts and works in progress. See also: Published Work

Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee, Hannah H. Chang
Agentic AI: Autonomy, Accountability, and the Algorithmic Society
Anirban Mukherjee, Hannah H. Chang
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
Anirban Mukherjee, Hannah H. Chang
Architects of Rivalry: A ‘Duty to Disrupt’ Algorithmic Convergence
Anirban Mukherjee, Hannah H. Chang
Baire Space Embeddings: Handling Missing, Dynamic, and Sparse Data
Anirban Mukherjee, Hannah H. Chang
Beyond Pairwise Comparisons: A Distributional Test of Distinctiveness for Machine-Generated Works in Intellectual Property Law
Anirban Mukherjee, Hannah H. Chang
Bridging the Gap: Using Interpretable AI to Incorporate Real-World Product Descriptions in Consumer Research Experiments
Anirban Mukherjee, Hannah H. Chang, Sachin Gupta
CAVIAR: Categorical Variable Embeddings for Accurate and Robust Inference
Anirban Mukherjee, Hannah H. Chang
Charting the Parrot’s Song: A Maximum Mean Discrepancy Approach to Measuring AI Novelty, Originality, and Distinctiveness
Anirban Mukherjee, Hannah H. Chang
Cognitive Boundaries of Narrating Voices in Persuasive Videos
Anirban Mukherjee, Hannah H. Chang
Compactibility: AI and the Idea-Expression Inversion
Anirban Mukherjee, Hannah H. Chang
Crossing the AI Accountability Chasm: How to Lead When Your AI Makes Decisions
Anirban Mukherjee, Hannah H. Chang
Dalal Street Blues: The Socio-Economic Environment and the Demand for Bollywood Movies
Anirban Mukherjee, Ping Xiao
Describing Rosé: An Embedding-Based Method for Measuring Preferences
Anirban Mukherjee, Hannah H. Chang
Does the Crowd Support Innovation? Innovation Claims and Success on Kickstarter
Anirban Mukherjee, Cathy Yang, Ping Xiao, Amitava Chattopadhyay
Emotional Appeals as Drivers of Social Media and Advertising Engagement in Real-World Marketplaces
Anirban Mukherjee, Hannah H. Chang
Fido’s Ball: A Novel Reinforcing Process for the Generation and Categorization of Qualitative Data Variables
Anirban Mukherjee
Forecasting in Rapidly Changing Environments: An Application to the U.S. Motion Picture Industry
Anirban Mukherjee, Vrinda Kadiyali
From ‘Custom’ to ‘Code’: A Doctrine of Functional Norms for Emergent Practices in Algorithmic Markets
Anirban Mukherjee, Hannah H. Chang
Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption
Anirban Mukherjee, Hannah H. Chang
Intellectual Property Piracy and the Intersectionality of Artistic Merit, Gender, and Race
Anirban Mukherjee, Hannah H. Chang
Is Volunteering a Gateway to Increased Monetary Giving? Evidence from a Field Experiment
Sachin Gupta, Sungjin Kim, Anirban Mukherjee
Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach
Mingzhang Yin, Khaled Boughanmi, Anirban Mukherjee
Plebeian Bias: Selecting Crowdsourced Creative Designs for Commercialization
Anirban Mukherjee, Ping Xiao, Hannah H. Chang, Li Wang, Noshir Contractor
Psittacines of Innovation? Assessing the True Novelty of AI Creations
Anirban Mukherjee
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
Anirban Mukherjee
Silico-centric Theory of Mind
Anirban Mukherjee, Hannah H. Chang
The Impact of Macro Socio-Economic Drivers and Fiscal Policy on Expenditure Allocation and Attribute Preferences
Anirban Mukherjee, Andre Bonfrer