Green CSR: What Shapes Environmental Responsibility Perceptions?
Sept. 20: Queenie Li (Assistant Professor, Strategic Communication)
Along with the rapid growth of attention to environmental concerns, companies and organizations are investing heavily to improve their “green” corporate social responsibility practices by engaging in a variety of environmental activities. However, companies are still searching for strategies to effectively communicate about their environmentally-friendly CSR efforts to various publics; furthermore, the level of consumers’ awareness of companies’ environmental CSR practices is still not clear. This presentation will discuss some potential factors that may impact consumer awareness, attitudes, and involvement related to green CSR practices, and also some certain values and beliefs that may shape individuals’ perceptions of environmental issues.
Cultural Diversity and Social Justice: Late Entering Immigrant and Refugee Youth in Educational Contexts
Oct. 4: Dina Birman (Professor, Educational and Psychology Studies)
In this presentation I will provide an overview of social justice concerns regarding educational issues for immigrant students, and describe a study that engages with these concerns. The grounded theory study intended to understand educational experiences of late entering immigrant and refugee students in alternative educational programs. We propose the concept of “Alternate Selves,” and the ways in which youth imagine and re-imagine these selves, to understand the ways in which students navigate the educational system.
Using Technology and Social Media to Increase Participation in Research Studies
Oct. 11: Susan Morgan (Professor, Communication Studies)
Using Technology and Social Media to Increase Participation in Research Studies Abstract: My research group is working to increase accrual to cancer-related research studies by using technology to address the information needs of lower literacy patients— and to address the problem of information overload. For example, we have greatly simplified information about what it means to participate in a clinical trial or research study (1) by reducing the quantity of information; (2) by reducing the complexity of information; and (3) by incorporating very short videos and white board animations to create redundancy in the information. We also created a simple 7-question decision aid that produces a tailored summary about whether their preferences and values makes them a good candidate for research participation. I will present an overview of our approach as well as some supporting preliminary data.
Amazon’s Mechanical Turk in Health Services Research
Oct. 25: Karoline Mortensen (Associate Professor, Health Sector Management and Policy)
Amazon’s Mechanical Turk (MTurk) platform has become a data source for peer-reviewed academic research publications, with over 24,000 Google Scholar search results. Although well-developed and supportive in other disciplines, the literature in health and medicine comparing results from samples generated on MTurk to gold standard, nationally representative health/medical surveys and expert opinion is beginning to emerge. In a series of studies, Dr. Mortensen and colleagues compare the demographic, socioeconomic, and self-reported health status variables in an MTurk sample to those from 2 prominent national probability surveys, including the Medical Expenditure Panel Survey (MEPS) and the Behavioral Risk Factor Surveillance System (BRFSS). They also conduct a systematic review of the literature to synthesize studies in health and medicine that compare data from MTurk samples to expert opinion or other gold standards. The findings indicate statistically significant differences in the demographic, socioeconomic, and self-perceived health status tabulations in the MTurk sample relative to the unweighted and weighted MEPS and BRFSS. The vast majority of the articles in the systematic review supported the use of MTurk for a variety of academic purposes. The literature overwhelmingly concludes that MTurk is an efficient, reliable, cost-effective tool for generating sample responses that are largely comparable to those collected via more conventional means.
Algorithmic Storytelling, Bending Pixels, and Spatial Computing
Nov. 1: Kim Grinfeder (Associate Professor, Cinema and Interactive Media)
It has been possible to view video on computers for many years but we are just beginning to explore the intersection of video and computation as a narrative tool. In this presentation I will provide an overview of some possible directions video can take in the future.