My research adopts a sociotechnical systems perspective that considers how the intersection of technology, people, processes, and data impacts individuals, organizations, and society. I explore how digital technology enables the discovery, creation, and sharing of information including:

• In online communities and other social media that support open innovation,

• Through applications of social network analysis, computational linguistics, and computational social science methods to analyze language use, team dynamics, and large voluntary collectives,

• In content moderation, toxic content, and algorithmic content prioritization,

• The role of race, gender, and diversity in algorithms, outcomes, and online experiences, and

• Societal impacts of digital technology such as information-limiting environments (echo chambers and filter bubbles), the climate crisis, and ethical use of technology.

My ongoing collaborations encompass questions on:

• How digital technology supports democracy through the distribution and discovery of digital information—including by enabling self-expression, access to high-quality information, connections with others with similar interests, and the voluntary exchange of goods and services.

• The role of digital technology in healthy youth development, including why and when youth are alternatively benefiting from or harmed by their digital environment.

• How individuals and organizations can benefit from using AI (including GenAI and LLM); how to minimize bias and promote fairness in AI/ML deployments; and, using LLM for context-aware toxic content identification.