Stevens Institute of Technology Business+AI Lab

Stevens School of Business, Babbio Center, Hoboken

Business+AI Lab

Training, workshops and events on AI and data governance for firms.

Email Aleksi Aaltonen, Lab Director

In blue: faculty research phrases split into tokens by the CLIP tokenizer, with each token’s ID. Methods and sources

Training and workshops

Events

  1. The Babbio Center at dusk, from the AI Conference 2026 page

    Oct. 8, 2026 Conference, sold out

    Stevens AI Conference 2026: Leveraging AI for Business Value
  2. Sept. 25, 2026 Hackathon

    Business + AI Hackathon 2026: Leveraging AI for Innovation in Business
  3. September 2026 Forum

    Business+AI Forum, September 2026

  4. May 2026 Faculty lecture

    Delivering Value with AI: Business Model Transformation

  5. May 2026 Faculty lecture

    Data: The Next Frontier

  6. April 2026 Faculty lecture

    AI Entrepreneurship: Bootstrapping Autonomous Robotaxi Services

  7. April 2026 Faculty lecture

    AI in Finance: Rewiring Robo-Advising for the Autonomous Portfolio

  8. April 2026 Faculty lecture

    Responsible AI: Foundations of Ethics and Algorithmic Fairness

  9. April 2026 Faculty lecture

    Managing AI Technologies: AI-in-the-Loop, AI-on-the-Loop, Human-out-of-the-Loop?

  10. March 2026 Research talk

    Miaoze Han: “Generative AI and Firm-Candidate Dynamics in the Labor Market”

  11. March 2026 Research talk

    Dominik Molitor: “Customer Responses and Economic Consequences of Data Breach Announcements

  12. March 11, 2026 Forum

    Business+AI Forum, March 2026

  13. March 2026 Research talk

    Jinan Lin: “Delegating Returnless Refund Authority to Sellers: Evidence from an E-Commerce Platform”

  14. February 2026 Research talk

    Sagit Bar-Gill: “LLMs and Consumer Bias: ‘Paying Not to Go to the Gym’ with an LLM Advisor?”

Resources

April 1, 2026 Online launch

Research Handbook on Digital Data Online Launch Event

The book is co-edited by Aleksi Aaltonen with Marta Stelmaszak and Kalle Lyytinen (Edward Elgar Publishing).

People and research

Research interests, in each person’s own published words.

Split into tokens by the CLIP tokenizer (openai/clip-vit-base-patch32, byte-level BPE) on Oct. 2, 2026; the numbers are its token IDs. The tokenizer reads lower case; the chips keep each person's capitals. Names are never split. The drift and the return to plain text are animation.

  • Aleksi Aaltonen

    Business+AI Lab Director. Associate Professor of Information Systems, Entrepreneur, and Editor-in-Chief

    • data as the key resource in the age of AI
    • data-based organizing and innovation
    • Open knowledge collaboration (e.g., Wikipedia, StackOverflow, OpenStreetMap)
    • Digital platform competition, multihoming, and ecosystem evolution
    • data as an object of research

    Sources: lab page · Stevens profile · aleksi.info/bio · aleksi.info

  • Aron Lindberg

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

    • what happens when humans and machines build things together
    • how organizations design and govern intelligent technologies
    • AI-enabled innovation, physical–digital systems, and collective intelligence
    • collaborate with AI to design, create, and innovate
    • mediated by crowds (e.g., open source, wikis, virtual worlds)

    Sources: aronlindberg.com · lab page · Stevens profile

  • Foad Mahdavi Pajouh

    Associate Professor of Information Systems

    • Theoretical, Computational and Algorithmic Optimization
    • Big Data Analytics of Complex Networks
    • Social Network Analysis, Financial Network Analysis and Cybersecurity
    • algorithmic decision systems
    • transforming complex data into strategic business value

    Sources: Stevens profile · lab page

  • Jordan Suchow

    Assistant Professor of Information Systems

    • human, machine, and collective intelligence
    • LLM-based multi-agent systems for financial decision-making
    • agentic AI that audits the computational reproducibility of published research
    • how machine learning and information technology can reshape empirical research
    • scaling experiments along multiple dimensions

    Sources: suchow.io

  • Michael zur Muehlen

    Associate Dean and Associate Professor of Information Systems

    • how AI-enabled technologies reshape decision-making, organizational capabilities, and end-to-end business processes
    • Process Analytics, Monitoring and Controlling
    • Enterprise Architecture Modeling, esp. Integration of Rules and Processes
    • Information Technology Standardization
    • operational excellence, digital transformation, and the future of work

    Sources: lab page · Stevens profile

  • Cherif Amirat

    Senior Lecturer, ex-CIO

    • Digital Transformation, Cyber Security, Cloud Strategy and Data Management
    • business analytics to drive decision making
    • alignment of the IT organization to business goals
    • automation, self-service, and the establishment of a digital workplace
    • innovation through experimentation

    Sources: Stevens profile, archived copy of June 9, 2026

  • Bei Yan

    Assistant Professor of Information Systems

    • Human-machine teaming, crowdsourcing, group dynamics, social influence
    • digital platforms are transforming teamwork, decision-making, and organizational performance
    • how collective action and collective intelligence emerge through computer-mediated communication
    • small teams interacting with intelligent personal assistants
    • help organizations design more effective AI systems and navigate digital transformation

    Sources: Stevens profile · lab page · personal site, research page · personal site

  • Alkiviadis Vazacopoulos

    Teaching Professor, former Vice President at FICO

    • Parallel Mixed Integer Programming techniques for solving Large-Scale Optimization problems
    • Supply Chain Analytics
    • Machine Learning and Optimization
    • Generative AI
    • Jobshop Scheduling

    Sources: Stevens profile · Google Scholar

  • Katia Meggiorin

    Assistant Professor of Information Systems

    • impact of regulatory uncertainty on digital platform markets
    • sharing economy, including services such as Airbnb, Uber, and Kiva
    • societal trade-offs associated with these platforms
    • underlying drivers of user misconduct and competitive behavior on platforms
    • interplay between regulatory environments, platform governance, and market dynamics

    Sources: Stevens profile

  • Violet Chen

    Assistant Professor of Information Systems and Analytics

    • fairness and ethics in decision making
    • equity in allocation, outcome-centric algorithmic fairness
    • modeling and inferring moral judgment
    • end-to-end fairness optimization via decision-focused learning
    • power gap and payment term in supply chain

    Sources: lab page · Stevens profile · vxychen.github.io

  • Jingyi Sun

    Assistant Professor of Information Systems

    • dynamics of networks in organizing
    • virtual communities and teams
    • health communities
    • human-AI collaboration
    • employee mobility

    Sources: lab page · Stevens profile

Contact

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

Aleksi Aaltonen

Business+AI Lab Director

aaaltone@stevens.edu

Aron Lindberg

IS&A Area Chair

alindber@stevens.edu

Address

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