Teaching

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I teach at the intersection of data, values, and thinking. My goal is to help students move beyond treating data as objective inputs toward seeing them as human and organizational objects: generative, performative, and relational. In my courses, students learn to think critically and creatively with data: to question assumptions, trace consequences, and imagine more innovative ways of working with them. I view the classroom as a space of shared inquiry, a place where we learn not only about data, but also through data.

Curriculum Innovation 🎓

At the Isenberg School of Management, I have embeded reflection, ethics, and critical thinking into core analytics education. In OIM 350: Business Intelligence and Analytics, I developed a new course structure that integrates hands-on technical skills, including SQL and data modeling, with modules on data ethics, sustainability, and social impact. Students examine case studies reflecting on the social and environmental costs of data practices. I have also introduced teaching cases based on my research, including a case on pronoun data and inclusion that explores how data structures encode values of recognition and respect. These innovations position students to become not just competent analysts, but reflective and responsible data professionals.

Teaching Effectiveness 🏆

My teaching consistently receives strong student evaluations, reflecting both engagement and intellectual challenge. In 2025, I was nominated for the University of Massachusetts Amherst Outstanding Teaching Award, recognizing my ability to connect technical instruction with ethical and conceptual reflection. Students frequently comment on how the course expands their understanding of data’s role in organizations and society, helping them link analytical practice with broader managerial and ethical questions.

Future Directions 🌱

Looking ahead, I aim to expand this work by developing resources and teaching materials that help other educators integrate critical and creative thinking with data into their courses. Drawing on my research, professional development, and classroom experience, I am creating frameworks, exercises, and case studies that foreground the social and ethical dimensions of data in business and management education. My goal is to contribute to a broader pedagogical shift in the field to prepare students not only to analyze data, but to think with it responsibly and innovatively.

Marta Stelmaszak Rosa

I am an Assistant Professor of Information Systems at the Isenberg School of Management, University of Massachusetts Amherst. My research examines digital data and how they shape how organizations work, think, and decide. I publish in leading journals such as MIS Quarterly, Information Systems Research, and the Journal of the Association for Information Systems, and co-lead Data Studies Bibliography, a global community advancing scholarship on data as a core object of inquiry.

Let’s connect

I’d love to exchange ideas about digital data, organizations, and thinking in a data-saturated world. I often share reflections and ongoing questions on LinkedIn and occasional glimpses of my day-to-day work on Instagram. I look forward to continuing the conversation with you there.

Recent publications