How do we collectively feel about our future? Do we look forward to it with anxiety or vigor? Are we apprehensive or optimistic of what the future will bring? Since mood affects performance and well-being, the answers to these questions matter greatly to anyone concerned with public policy. The web is awash with material indicative of public mood, collective forecasting and personal relics. Several efforts have been undertaken to assess emotional status from online sources such as blogs, emails, web sites (Balog & De Rijke 2006) and search engine queries (see, for example, Google Trends). However, these efforts are limited, by the nature of their source material, to hindsight and near-present observations. The work presented here is concerned with collective speculations about the future. We present a visual analysis of publicly available textual content from futureme.org, a popular web service that allows its users to send themselves emails to be delivered at a later date, up to 30 years in the future. Many of these emails resemble "confessional" time capsules: their content is intended to project the user’s present emotional state at the origination date towards the indicated delivery date. These emails fall into two broad categories of content: a) conjectures about the future and b) mementos regarding the present or the past. By aggregating mood indicators extracted from messages directed to future dates, we can thus assess short and long term shifts in the collective emotional perception toward a particular point in the future. This principle is related to "wisdom of crowd" phenomena as observed in finance and prediction markets (Surowiecki 2004). Numerous psychometric instruments to assess individual mood states and monitor their fluctuations over time exist, the most prominent of which is the 65 item Profile of Mood States (POMS) questionnaire (McNair, Loor, & Droppleman 1971). The 6 dimensional factor analytical structure of the POMS (tension, depression, anger, vigor, fatigue and confusion) has been validated repeatedly (Norcross, Guadagnoli, & Prochaska 2006) and applied in hundreds of studies since its inception (McNair, Heuchert, & Shilony 2003). To make the POMS questionnaire applicable to the open-ended nature of email content, we extended the POMS set of 65 adjectives by nearly 793 synonyms using WordNet and Roget’s Thesaurus. We calculated the occurrences of extended POMS terms in the content of 30,000 publicly available "future" emails and mapped them to a normalized six-dimensional mood vector representing levels of tension, depression, anger, vigor, fatigue and confusion. These mood vectors were grouped according to the delivery date of the original email, resulting in a set of mood state vectors. Statistically significant mood changes were detected especially for depression and vigor indicators. The computation of mood levels was then implemented with a more specific textual analysis of the entire email corpus, aimed at identifying manifestations of conjectures and mementos. The results, presented in this poster, blend two different visual representation of the content analyzed: an "emotional timeline" - a cumulative depiction of mood levels between 2007 and 2036 - and a superimposed topic map of mementos and conjectures - an ontological model of commonly used terms and adjectives illustrating the chains of word association.
Microstegium Vimineum (Japanese Stiltgrass) is an invasive grass species that is currently dominating susceptible ecosystems across the eastern half of the United States. The presence of Japanese Stiltgrass can result in decomposition of plant available carbon (C) and nitrogen (N), limiting the variety of species that thrive within these habitats. N deposition has the ability to influence the composition of plant communities as it can change the concentration of nitrogen within the atmosphere and rhizosphere. Similarly, leaf litter quality influences microbial communities and therefore available nutrients to understory plants. In this study, we are examining the degree at which these factors influence the impact of Japanese Stiltgrass on soil degradation. The study is taking place in the Shawnee National Forest in southern Illinois. 20 pairs of plots consist of 10 low-quality litter (pine dominated) plots and 10 high-quality litter (6 maple-elm and 4 tulip-poplar dominated) plots. Within each pair, three one-square foot subplots are each receiving one of three nitrogen treatments: 8.65 kg N ha-1 yr-1 or high N, 3.46kg N ha-1 yr-1 or low N, and a control of 0 g N m-2 yr-1. It is anticipated that the highest N treatment levels will yield lesser impacts on the soil in all forest cover types. However, we expect to see the greatest suppression of SOM decomposition under pine-dominated forests, as the microbial communities within these stands are more sensitive to higher levels N additions.
Documenting the context in which data are collected is an integral part of the scientific research lifecycle. In field-based research, contextual information provides a detailed description of scientific practices and thus enables data interpretation and reuse. For field data, losing contextual information often means losing the data altogether. Yet, documenting the context of distributed, collaborative, field-based research can be a significant challenge due to the unpredictable nature of real-world settings and to the high degree of variability in data collection methods and scientific practices of different researchers. In this article, we propose the use of microblogging as a mechanism to support collection, ingestion, and publication of contextual information about the variegated digital artifacts that are produced in field research. We perform interviews with scholars involved in field-based environmental and urban sensing research, to determine the extent of adoption of Twitter and similar microblogging platforms and their potential use for field-specific research applications. Based on the results of these interviews as well as participant observation of field activities, we present the design, development, and pilot evaluation of a microblogging application integrated with an existing data collection platform on a handheld device. We investigate whether microblogging accommodates the variable and unpredictable nature of highly mobile research and whether it represents a suitable mechanism to document the context of field research data early in the scientific information lifecycle.
This article introduces a methodological framework to compare online patterns of music usage, detected from dedicated online music services, with offline patterns of music performance, evinced from set lists of live concert sets. The presented comparative method is employed to explore the relationship between live concert and personal listening behavior of the Grateful Dead, an American band born out of the 1960s San Francisco, California psychedelic movement, that played music together from 1965 to 1995. Despite relatively little popular radio airtime, the Grateful Dead enjoyed a cult-like following from a fan base that numbered in the millions and, ten years after dissolution, its music is still heavily listened to on online music services, such as last.fm. This article presents a comparative analysis between 1,590 of the Grateful Dead's live concert set lists from 1972 to 1995 and 2,616,990 Grateful Dead listening events by last.fm users from August 2005 to October 2007. While there is a strong correlation between how songs were played in concert and how they were listened to by last.fm members, the outlying songs in this trend identify interesting aspects of the band and their fans 10 years after the band's dissolution.
This is an example of a Conference poster or talk session comprising of a set of slides or poster together with a video presentation of the contributed content. The content used here was randomly generated and submitted to WMSCI 2005 in Orlando by Jeremy Stribling, Max Krohn, and Dan Aguayo. More information on the SciGen experiment here.