The glass entrance of the Babbio Center, seen from the plaza

The photo as points, placed in its depth by Depth Anything V2 Small (relative depth), run on Oct. 2, 2026.

Business+AI Lab

Stevens School of Business, Babbio Center, Hoboken

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

Email Aleksi Aaltonen, Lab Director

What the lab’s faculty work on, in eight themes

Each theme lists its phrases, who wrote them and where.

Machine learning, generative AI and computational methods

10 phrases from 5 people

  • Jordan Suchow from suchow.io

    “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”  “LLM-based multi-agent systems for financial decision-making”

  • Alkiviadis Vazacopoulos from Stevens profile, Research

    “Generative AI”  “Machine Learning and Optimization”

  • Michael zur Muehlen from lab page; Stevens profile, Research

    “how AI-enabled technologies reshape decision-making, organizational capabilities, and end-to-end business processes”  “Enterprise Architecture Modeling, esp. Integration of Rules and Processes”

  • Foad Mahdavi Pajouh from Stevens profile, Research

    “Theoretical, Computational and Algorithmic Optimization”

  • Violet Chen from Stevens profile, Research

    “modeling and inferring moral judgment”

Optimization, analytics and decision-making

9 phrases from 5 people

  • Alkiviadis Vazacopoulos from Stevens profile, Research; Google Scholar

    “Supply Chain Analytics”  “Parallel Mixed Integer Programming techniques for solving Large-Scale Optimization problems”  “Jobshop Scheduling”

  • Violet Chen from vxychen.github.io; Stevens profile, Research

    “end-to-end fairness optimization via decision-focused learning”  “equity in allocation, outcome-centric algorithmic fairness”  “power gap and payment term in supply chain”

  • Cherif Amirat from archived profile

    “business analytics to drive decision making”

  • Michael zur Muehlen from Stevens profile, Research

    “Process Analytics, Monitoring and Controlling”

  • Foad Mahdavi Pajouh from lab page

    “algorithmic decision systems”

Digital transformation, innovation and new ways of organizing

13 phrases from 7 people

  • Cherif Amirat from Stevens profile, archived 2026-06-09

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

  • Aleksi Aaltonen from Stevens profile, Research; aleksi.info/bio

    “data-based organizing and innovation”  “Open knowledge collaboration (e.g., Wikipedia, StackOverflow, OpenStreetMap)”

  • Bei Yan from lab page

    “help organizations design more effective AI systems and navigate digital transformation”  “digital platforms are transforming teamwork, decision-making, and organizational performance”

  • Michael zur Muehlen from Stevens profile, General Information

    “operational excellence, digital transformation, and the future of work”  “Information Technology Standardization”

  • Aron Lindberg from lab page

    “how organizations design and govern intelligent technologies”

  • Foad Mahdavi Pajouh from lab page

    “transforming complex data into strategic business value”

  • Jingyi Sun from lab page

    “employee mobility”

Networks, crowds and online communities

8 phrases from 4 people

  • Jingyi Sun from lab page

    “dynamics of networks in organizing”  “virtual communities and teams”  “health communities”

  • Bei Yan from Stevens profile, Research; personal site, Research

    “Human-machine teaming, crowdsourcing, group dynamics, social influence”  “how collective action and collective intelligence emerge through computer-mediated communication”

  • Foad Mahdavi Pajouh from Stevens profile, Research

    “Social Network Analysis, Financial Network Analysis and Cybersecurity”  “Big Data Analytics of Complex Networks”

  • Aron Lindberg from Stevens profile

    “mediated by crowds (e.g., open source, wikis, virtual worlds)”

Humans and AI working together (human-AI collaboration, teaming, collective intelligence)

6 phrases from 4 people

  • Aron Lindberg from aronlindberg.com; lab page

    “collaborate with AI to design, create, and innovate”  “what happens when humans and machines build things together”  “AI-enabled innovation, physical–digital systems, and collective intelligence”

  • Jingyi Sun from Stevens profile, Research

    “human-AI collaboration”

  • Jordan Suchow from suchow.io

    “human, machine, and collective intelligence”

  • Bei Yan from personal site

    “small teams interacting with intelligent personal assistants”

Governance, rules and fairness

1 phrase from 1 person

  • Violet Chen from lab page

    “fairness and ethics in decision making”

Data as a resource

2 phrases from 1 person

  • Aleksi Aaltonen from aleksi.info; lab page

    “data as an object of research”  “data as the key resource in the age of AI”

Digital platforms and platform markets

6 phrases from 2 people

  • Katia Meggiorin from Stevens profile, Research

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

  • Aleksi Aaltonen from aleksi.info/bio

    “Digital platform competition, multihoming, and ecosystem evolution”

The eight theme names are ours. Each phrase joins the theme whose name it is most similar to in BAAI/bge-small-en-v1.5, and themes are placed by MDS of those name vectors, Oct. 3, 2026. The counts are of the 55 sample phrases, five per person, and of the people they come from; a phrase’s place on its ring is a display choice.

Training and workshops

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.

Events

  • Oct. 8, 2026Conference, sold outStevens AI Conference 2026: Leveraging AI for Business Value
  • Sept. 25, 2026HackathonBusiness + AI Hackathon 2026: Leveraging AI for Innovation in Business
  • September 2026ForumBusiness+AI Forum, September 2026
  • May 2026Faculty lectureDelivering Value with AI: Business Model Transformation
  • May 2026Faculty lectureData: The Next Frontier
  • April 2026Faculty lectureAI Entrepreneurship: Bootstrapping Autonomous Robotaxi Services
  • April 2026Faculty lectureAI in Finance: Rewiring Robo-Advising for the Autonomous Portfolio
  • April 2026Faculty lectureResponsible AI: Foundations of Ethics and Algorithmic Fairness
  • April 2026Faculty lectureManaging AI Technologies: AI-in-the-Loop, AI-on-the-Loop, Human-out-of-the-Loop?
  • March 2026Research talkMiaoze Han: “Generative AI and Firm-Candidate Dynamics in the Labor Market”
  • March 2026Research talkDominik Molitor: “Customer Responses and Economic Consequences of Data Breach Announcements
  • March 11, 2026ForumBusiness+AI Forum, March 2026
  • March 2026Research talkJinan Lin: “Delegating Returnless Refund Authority to Sellers: Evidence from an E-Commerce Platform”
  • February 2026Research talkSagit Bar-Gill: “LLMs and Consumer Bias: ‘Paying Not to Go to the Gym’ with an LLM Advisor?”

Resources

  • April 1, 2026Online launchResearch Handbook on Digital Data Online Launch Event

People

  • 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”

    From: lab page, Stevens profile, Research, 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)”

    From: 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”

    From: Stevens profile, Research, 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”

    From: 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”

    From: lab page, Stevens profile, Research

  • 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”

    From: Stevens profile, archived 2026-06-09

  • 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”

    From: Stevens profile, Research, lab page, personal site, Research, 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”

    From: Stevens profile, General Information, 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”

    From: Stevens profile, Research

  • 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”

    From: lab page, Stevens profile, Research, 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”

    From: lab page, Stevens profile, Research

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

Email Aleksi Aaltonen

Aron Lindberg

IS&A Area Chair

Email Aron Lindberg

Address

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