Preliminary Conference Agenda

Duo to the differences in individual’s color perception and the variations in color naming and color rendering under different settings, color has historically been a challenging trait in describing species for taxonomic and systematic research. Re-using a noisy color dataset collected from high-quality images of Carex speci-mens, we developed a data mining method (e.g., clustering and classification) for constructing domain-specific color palettes. Color palettes associated with color values measured in a color space help systematists record color data in a way that the differences in colors can be more accurately compared and computed, making color data interoperable and reusable. The Carex color palette was evaluated by Carex experts and the evaluation data showed that experts overwhelmingly pre-ferred using color palette over color strings.

This study reviews existing studies on misinformation. Our purposes are to understand the major research topics that have been investigated by re-searchers from a variety of disciplines, and to identify important areas for further exploration for library and information science scholars. We con-ducted automatic descriptive analysis and manual content analysis after selecting journal articles from 4 major databases. The automatic analysis of 5,586 journal articles demonstrated that misinformation has been an increasingly popular research area in recent 12 years, and scholars in more than 1,200 fields of study have published related articles in more than 2,400 journals. Topics explored include misinformation environments, impact of misinformation, users/victims, types of misinformation, misinformation detection & correction, and others; The content analysis of 151 articles published in library and information studies journals found that more than 40 different theories/models/frameworks have been applied to under-stand or fight misinformation. Furthermore, information scholars have suggested that the research of misinformation could be explored further in 5 categories, including further understanding misinformation, its spread, and impacts; misinformation detection and correction, Policy and education to fight misinformation, more case studies, and more theory and model devel-opment. This study provides a broad picture of misinformation research, which allow researchers and practitioners to better plan and develop their projects and strategies for fighting misinformation. It also provides evidence to information schools to enhance curriculum development for educating the next generation of information professionals.

Diversity indices are widely used in many scientific disciplines to quantify the distribution of types within a dataset and are perhaps most strongly associated with the fields of ecology and economics. This paper synthesizes knowledge from four fields (ecology, economics, bibliometrics, team science) to show how diversity has been operationalized over time and to identify opportunities to advance studies of team diversity in team science research, a comparatively new and emerging field. In recent years, increasing efforts have been made to support interdisciplinary research teams and to better understand the relationship between interdisciplinarity and research outcomes through the lens of diversity measures. We find that diversity measures such as Shannon's and Simpson's indices have been prevalent proxies to capture the extent to which research teams comprise of interdisciplinary knowledge sources and perspectives. We also find that the ecological perspective of ``beta diversity'', an approach considering the relative differences between rather than within groups, offers compelling opportunities for teams and science of team science research. We describe the concept of beta diversity, and provide several examples of how a beta diversity perspective offers a lens to address research questions of interest to science of team science scholars.