The role of automated feedback in training and retaining biological recorders for citizen science

The rapid rise of citizen science, with lay people forming often extensive biodiversity sensor networks, is seen as a solution to the mismatch between data demand and supply while simultaneously engaging citizens with environmental topics. However, citizen science recording schemes require careful consideration of how to motivate, train, and retain volunteers. We evaluated a novel computing science framework that allowed for the automated generation of feedback to citizen scientists using natural language generation (NLG) technology. We worked with a photo‐based citizen science program in which users also volunteer species identification aided by an online key. Feedback is provided after photo (and identification) submission and is aimed to improve volunteer species identification skills and to enhance volunteer experience and retention. To assess the utility of NLG feedback, we conducted two experiments with novices to assess short‐term (single session) and longer‐term (5 sessions in 2 months) learning, respectively. Participants identified a specimen in a series of photos. One group received only the correct answer after each identification, and the other group received the correct answer and NLG feedback explaining reasons for misidentification and highlighting key features that facilitate correct identification. We then developed an identification training tool with NLG feedback as part of the citizen science program BeeWatch and analyzed learning by users. Finally, we implemented NLG feedback in the live program and evaluated this by randomly allocating all BeeWatch users to treatment groups that received different types of feedback upon identification submission. After 6 months separate surveys were sent out to assess whether views on the citizen science program and its feedback differed among the groups. Identification accuracy and retention of novices were higher for those who received automated feedback than for those who received only confirmation of the correct identification without explanation. The value of NLG feedback in the live program, captured through questionnaires and evaluation of the online photo‐based training tool, likewise showed that the automated generation of informative feedback fostered learning and volunteer engagement and thus paves the way for productive and long‐lived citizen science projects.     

THE NEED FOR CONTROLLED INFORMATION PROCESSING IN THE VISUAL ACQUISITION OF ROUTE KNOWLEDGE

The route knowledge of participants who performed a concurrent task during a simulated route-learning exercise was compared to that of participants engaged only in the route-learning exercise by employing tests of scene recognition, distance estimation and map verification. Results indicated performance decrements on the scene recognition and distance estimation tasks on the part of participants in the concurrent task condition, thus supporting the interpretation that these tasks were sensitive to the reduction in available attentional resources. Performance on the map verification task was generally poor, a fact that may have masked the general effect of the concurrent task manipulation. Comparisons involving only those subgroups for which performance was above chance level provided evidence that this task was also sensitive to the availability of resources. In addition, results from the map verification task clearly pointed to map orientation as an important factor influencing the ability to recognize a cartographic representation of a path of movement within a large-scale environment.     

A longitudinal examination of the work–nonwork boundary strength construct

Many organizations are blurring the boundaries between work and nonwork through practices such as flextime, telecommuting, and on‐site day‐cares. Such integration of work and nonwork is purported to help employees find the seemingly elusive “work‐life balance.” Scholarly investigations of this issue have increased in number, but a standard measure of work–nonwork boundary strength has yet to emerge. The purpose of this research is to explore the boundary strength construct through the process of measure validation. In Study 1, data were collected from students (N = 162) to pilot test the measure. Study 2 was a longitudinal field study in which data were collected from employees of Canadian organizations (Survey 1: N = 793; Matched data for Surveys 1 & 2: N = 205). Confirmatory factor analyses supported the hypothesized two‐factor structure of the work–nonwork boundary strength measure, confirming the importance of differentiating boundary strength at home (BSH) and boundary strength at work (BSW). Longitudinal analyses confirmed the structural invariance of the measure and revealed that boundary strengths are relatively stable over a period of 1 year. Role identification was related to boundary strength at home only. Weak boundaries, both at home and at work, were associated with high inter‐role conflict. Copyright © 2009 John Wiley & Sons, Ltd.     

Air Pollution Emissions from the Incineration of Hospital Waste

Since 1981, hospitals in Illinois have been prohibited from depositing hazardous infectious waste in landfills without first rendering the waste innocuous. The Illinois Pollution Control Board has adopted regulations indicating that incineration is an acceptable method for disposal of this waste. Emissions from incineration of the plastic-rich hospital waste are not well documented. Stack emissions of particles, hydrochloric acid, carbon monoxide, ethane, ethylene, propane and propylene were measured from a hospital incinerator where all of the hospital's waste (including hazardous infectious waste) was burned. Emission factors developed for each emission component were: particles 1.0–1.6 g/kg waste; hydrochloric acid 3.3–5.3 g/kg; carbon monoxide 1.4–1.8g/kg; ethane <0.002g/kg; ethylene <0.010g/kg; propane <0.012 g/kg; and propylene <0.011 g/kg     

A land use database and examples of biogenic isoprene emission estimates for the state of Texas, USA

Using data from a variety of sources, land use and vegetation in Texas were mapped with a spatial resolution of approximately 1 km. Over 600 classifications were used to characterize the land use and land cover throughout the state and field surveys were performed to assign leaf biomass densities, by species, to the land cover classifications. The total leaf biomass densities associated with these land use classifications ranged from 0 to 556 g/m², with the highest assigned total and oak leaf biomass densities located in central and eastern Texas. The land cover data were used as input to a biogenic emissions model, GLOBEIS2. Estimates of biogenic emissions of isoprene based on GLOBEIS2 and the new land cover data showed significant differences when compared to biogenic isoprene emissions estimated using previous land cover data and emission estimation procedures. For example, for one typical domain in eastern Texas, total daily isoprene emissions increased by 38% with the new modeling tools. These results may ultimately affect the way in which ozone and other photochemical pollutants are modeled and evaluated in the state of Texas.     

“You spoil everything!” Indigenous peoples and the consequences of industrial development in British Columbia

This article discusses the perspectives of two First Nations of Canada, northeastern British Columbia’s West Moberly First Nations, Halfway River First Nation, and Treaty 8 Tribal Council, regarding the impacts of industrial resource extraction in lands critical to their traditional cultures and subsistence activities. This collaborative project interviewed First Nation government officials and staff as well as community members and Elders, which created a complex picture of physical impacts of industrial development as well as psychological and cultural concerns. In addition, we briefly explore the impacts of First Nations being required to constantly participate in consultative processes, such as environmental assessment, designed to predict potential impacts. We conclude that recognizing and meaningfully addressing all types of impacts that First Nations experience is critical, both for ensuring environmental justice for indigenous peoples and for recognizing that some land and resources must remain for indigenous peoples to continue to practice their traditional culture. We note, as well, that if there is no room amidst industrial resource extraction activities for indigenous peoples, there is also no room for other environmentally critical values such as healthy ecosystems.     

The Characterization of Ozone,Sulfur Dioxide,and Nitrogen Dioxide for Selected Monitoring Sites in the Federal Republic of Germany

Ambient ozone, sulfur dioxide, and nitrogen dioxide data collected at 11 rural gaseous air pollution monitoring stations located throughout the Federal Republic of Germany (FRG) were characterized to provide a basis for investigating the effect these air pollutants may have on forest decline. For any given year, with the exception of the Waldhof site, the ozone monitoring sites did not experience more than 50 occurrences of hourly mean concentrations equal to or above 0.10 ppm. In most cases, the number of occurrences equal to or above 0.10 ppm at the FRG ozone monitoring sites was below the number experienced at a rural forested site located at Whiteface Mountain, New York. Several of the FRG monitoring sites experienced a large number of occurrences of hourly mean ozone concentrations between 0.08 and 0.10 ppm. Hof, Selb, Arzberg, and Waldhof experienced several occurrences of elevated levels of sulfur dioxide concentrations. The nitrogen dioxide 24-h mean concentrations were low for all sites. Because the 24-h mean data may mask the occurrence of a few high concentration events, it is not known if any of the sites that monitored nitrogen dioxide experienced short-term elevated concentrations. To gain further insight into the possible effect of pollutant mixtures on vegetation, future efforts should involve characterizing the timing of multi-pollutant exposures.