Stevens Institute of Technology Business+AI Lab

Business+AI Lab at Stevens

Business+AI Lab at Stevens is an effort by faculty members at the Stevens School of Business to make the latest knowledge of AI and data governance available to firms. We offer training and workshops, host events, and publish resources that help firms to upskill their senior executives, managers, and employees to meet the challenges of AI-driven business.

Training and workshops

Email the Lab Director

Aleksi Aaltonen, aaaltone@stevens.edu

What the faculty work on, and the lectures they gave in spring 2026

Dates as posted on ailab.stevens.edu

  1. Managing AI Technologies
  2. Responsible AI
  3. AI in FinanceZachary FeinsteinNo phrases, so no line
  4. AI Entrepreneurship
  5. Data: The Next Frontier
  6. Delivering Value with AI

Business+AI Lab55 phrases, 11 people

  1. Optimization and fair decisions

    1. “Theoretical, Computational and Algorithmic Optimization” . Also here: , gave the lecture AI Entrepreneurship

      • “scaling experiments along multiple dimensions”
      • “Machine Learning and Optimization”
      • “Theoretical, Computational and Algorithmic Optimization”
      • “Parallel Mixed Integer Programming techniques for solving Large-Scale Optimization problems”
      • “Jobshop Scheduling”

    2. “equity in allocation, outcome-centric algorithmic fairness” gave the lecture Responsible AI. Also here: , gave the lecture AI Entrepreneurship

      • “modeling and inferring moral judgment”
      • “fairness and ethics in decision making”
      • “equity in allocation, outcome-centric algorithmic fairness”
      • “end-to-end fairness optimization via decision-focused learning”
      • “algorithmic decision systems”
      • “LLM-based multi-agent systems for financial decision-making”

  2. Platforms and organizations

    1. “interplay between regulatory environments, platform governance, and market dynamics” gave the lecture Delivering Value with AI. Also here: gave the lecture Data: The Next Frontier, gave the lecture Responsible AI

      • “societal trade-offs associated with these platforms”
      • “Digital platform competition, multihoming, and ecosystem evolution”
      • “interplay between regulatory environments, platform governance, and market dynamics”
      • “impact of regulatory uncertainty on digital platform markets”
      • “underlying drivers of user misconduct and competitive behavior on platforms”
      • “power gap and payment term in supply chain”
      • “sharing economy, including services such as Airbnb, Uber, and Kiva”

    2. “operational excellence, digital transformation, and the future of work” gave the lecture Managing AI Technologies. Also here: , , ,

      • “automation, self-service, and the establishment of a digital workplace”
      • “operational excellence, digital transformation, and the future of work”
      • “digital platforms are transforming teamwork, decision-making, and organizational performance”
      • “how AI-enabled technologies reshape decision-making, organizational capabilities, and end-to-end business processes”
      • “help organizations design more effective AI systems and navigate digital transformation”
      • “how organizations design and govern intelligent technologies”
      • “Enterprise Architecture Modeling, esp. Integration of Rules and Processes”
      • “alignment of the IT organization to business goals”
      • “Information Technology Standardization”
      • “employee mobility”

  3. Data, analytics and networks

    1. “Supply Chain Analytics” . Also here: gave the lecture Managing AI Technologies,

      • “Process Analytics, Monitoring and Controlling”
      • “Supply Chain Analytics”
      • “business analytics to drive decision making”

    2. “data-based organizing and innovation” gave the lecture Data: The Next Frontier. Also here: , ,

      • “Digital Transformation, Cyber Security, Cloud Strategy and Data Management”
      • “transforming complex data into strategic business value”
      • “data-based organizing and innovation”
      • “dynamics of networks in organizing”
      • “Big Data Analytics of Complex Networks”
      • “Social Network Analysis, Financial Network Analysis and Cybersecurity”

    3. “how machine learning and information technology can reshape empirical research” gave the lecture AI Entrepreneurship. Also here: gave the lecture Data: The Next Frontier,

      • “innovation through experimentation”
      • “how machine learning and information technology can reshape empirical research”
      • “data as the key resource in the age of AI”
      • “data as an object of research”

  4. Human-AI collaboration

    1. “human, machine, and collective intelligence” gave the lecture AI Entrepreneurship. Also here: , , ,

      • “what happens when humans and machines build things together”
      • “AI-enabled innovation, physical–digital systems, and collective intelligence”
      • “human, machine, and collective intelligence”
      • “Human-machine teaming, crowdsourcing, group dynamics, social influence”
      • “how collective action and collective intelligence emerge through computer-mediated communication”
      • “small teams interacting with intelligent personal assistants”
      • “collaborate with AI to design, create, and innovate”
      • “human-AI collaboration”
      • “Generative AI”
      • “agentic AI that audits the computational reproducibility of published research”

    2. “virtual communities and teams” . Also here: , gave the lecture Data: The Next Frontier

      • “Open knowledge collaboration (e.g., Wikipedia, StackOverflow, OpenStreetMap)”
      • “mediated by crowds (e.g., open source, wikis, virtual worlds)”
      • “virtual communities and teams”
      • “health communities”

How the tree was made: the faculty’s own phrases, embedded with BAAI/bge-small-en-v1.5 and grouped by Ward hierarchical clustering on Oct. 3, 2026. Ward’s fit is weak (cophenetic correlation 0.43). Phrases in groups no more alike than random pairs were moved to their nearest group. The phrase shown for each group is the one nearest its center. Branch names are ours. A lecture line, and a red underline, mean that person gave the lecture, as the lecture’s post names them; they do not mean the lecture is about that branch. Zachary Feinstein, who gave AI in Finance, is not on the People list and has no phrases, so that lecture has no line.

Training and workshops

Business+AI Lab faculty experts provide training and workshops that help you to understand the opportunities of AI-driven business and to upskill your personnel for seizing them.

Email the lab about a workshop

Events

Dates as posted on ailab.stevens.edu

Email the lab about events

AI Conference 2026 and Hackathon 2026

Business+AI Faculty Lecture Series

Business+AI Forum

Research talks

People

Business+AI Lab faculty experts provide teaching, advising, and consulting in which they combine the latest research with practical relevance.

  • Foad Mahdavi Pajouh

    Foad Mahdavi Pajouh

    Associate Professor of Information Systems

  • Aron Lindberg

    Aron Lindberg

    Associate Professor of Information Systems, Chair of the Information Systems & Analytics

  • Aleksi Aaltonen

    Aleksi Aaltonen

    Associate Professor of Information Systems, Entrepreneur, and Editor-in-Chief

  • Jordan Suchow

    Jordan Suchow

    Assistant Professor of Information Systems

  • Michael zur Muehlen

    Michael zur Muehlen

    Associate Dean and Associate Professor of Information Systems

  • Cherif Amirat

    Cherif Amirat

    Senior Lecturer, ex-CIO

  • Bei Yan

    Bei Yan

    Assistant Professor of Information Systems

  • Alkiviadis Vazacopoulos

    Alkiviadis Vazacopoulos

    Teaching Professor, former Vice President at FICO

  • Katia Meggiorin

    Katia Meggiorin

    Assistant Professor of Information Systems

  • Violet Chen

    Violet Chen

    Assistant Professor of Information Systems and Analytics

  • Jingyi Sun

    Jingyi Sun

    Assistant Professor of Information Systems

Resources

Research Handbook on Digital Data Online Launch Event

We are delighted to invite you to the online launch of the Research Handbook on Digital Data: Interdisciplinary Perspectives (Edward Elgar Publishing) on 1 April 2026. The book is co-edited by Aleksi Aaltonen with Marta Stelmaszak and Kalle Lyytinen. The event is open to all, but registration is required to make sure you receive an invitation with joining instructions.

Contact

Business+AI Lab
Babbio Center
525 River Street
Hoboken, NJ 07030

For more information, send an email to Business+AI Lab Director Aleksi Aaltonen, aaaltone@stevens.edu, or Aron Lindberg, IS&A Area Chair, alindber@stevens.edu

Email Aleksi Aaltonen