On May 19-20, Harvard Business School will host the Methodology, Organization, and Management (MOM): Technological Adoption and Human-Algorithm Interaction workshop.

The two-day workshop will bring together leading junior researchers in the data science, statistics, management, social sciences, and decision sciences communities.

The third conference hosted by Harvard Business School, with the goal of bringing together leading junior researchers who use a variety of methodological tools in the management, social sciences, data science, and decision sciences communities. We are particularly interested in bringing together qualitative and quantitative researchers whose research is relevant to the conference theme.

Topics research might address include but are not limited to:

• Integrating new technologies into everyday work activities
• Measuring the impact of technology adoption (advances in experimental designs and observational studies are particularly pertinent)
• Incorporating human worker’s reactions to AI into AI adoption decisions
• Creating trust between humans and algorithms

By participating in this workshop, you will meet junior scholars working at the cutting edge of both theory and practice at the intersection of these topics. Our goal is to develop common ground for future discussions and to spur collaborations among researchers in the management, data, and decision sciences.

The workshop will include lightning presentations, panel events, and group discussions. We ask that all attendees present on a research project in a lightning (7 minute) session. We expect approximately 30 junior researchers and several leading senior scholars to be in attendance.

If you would like to attend the conference, please click HERE for more information.