Social and Behavioral Sciences Commons^™

Land Rights Among Subsistence Farmers: An Examination Of Madagascar’S Land Reform And Prevailing Systems Of Land Tenure In Betafo, Taylor Crowl

Independent Study Project (ISP) Collection

In Madagascar, legal systems of land tenure have been inaccessible for the vast majority of the rural population. This has stranded millions of subsistence farmers in a sense of insecurity, as they lack legal rights for the property that they have farmed for generations. Madagascar’s land reform, launched in 2005, attempted to change these exclusionary tenure practices. This reform —known as the Plan National Foncier—created land certificates and local land offices in an attempt to make legal land tenure financially, geographically, and logistically accessible to the local population. This study discusses the successes, failures, and unforeseen consequences of Madagascar’s land …

Improving Social Resilience In Response To Climate Change In Far North Queensland And Torres Strait, Katie Costantini

Independent Study Project (ISP) Collection

Currently, most approaches to decision-making in response to climate change have been based on biophysical knowledge, even though climate change is an inherently social dilemma. Social resilience involves communities’ ability to mitigate and prepare for the effects of climate change and recover to an improved state. Professor Allan Dale and his colleagues at the Cairns Institute at James Cook University developed a framework for social resilience based on four attributes: (1) Economic Viability, (2) Community Knowledge, Aspirations, and Capacity, (3) Community Vitality, and (4) Governance. They are using this framework to evaluate and monitor Far North Queensland and Torres Strait …

Environmental Education In Amman, Sara Lyrnn Green

Independent Study Project (ISP) Collection

This research addresses environmental education in public and private schools in Amman, Jordan and what is being done to expand environmental awareness by both schools and the government. This study’s methodology is comprised of interviews with teachers and government employees as well as analysis of material culture. The research finds that environmental education is priority for schools and the government, but that more can be done in expanding environmental awareness. This study points out barriers to environmental education in schools with the hope that these will be addressed and improved.

Mitigating Climate-Induced Migration In Rural Morocco: Improving Sustainable Development To Address Socio-Economic And Environmental Causes Of Migration, Jesse Meisenhelter

Independent Study Project (ISP) Collection

Morocco unique geography has made the country vulnerable to climate-induced migration (CIM) for three reasons. First, Moroccois located in a region identified as the highest vulnerability to climate change (IPCC, 2014). Second, Morocco’s economy remains dependent on natural resources due to a history of neo-liberal development and agriculture policies (Davis, 2006). These policies’ failure to diversify and develop the economy in rural regions has made Morocco the most geographically inequitable country in the MENA region (World Bank). Lastly, located just 14 km from Spain, Morocco has a 50-year history of migrating to Europe for work and opportunity (Eddouada, 2014). This …

The Santa Clara, 2014-09-25, Santa Clara University

The Santa Clara

No abstract provided.

Predicting The Impact Of Climate Change On Regional And Seasonal Abundance Of The Mealybug Phenacoccus Solenopsis Tinsley (Hemiptera: Pseudococcidae) Using Temperature-Driven Phenology Model Linked To Gis, Babasaheb B. Fand, Henri E.Z. Tonnang, Mahesh Kumar, Santanu K. Bal, Naveen P. Singh, D. V.K.N. Rao, Ankush L. Kamble, Dhananjay D. Nangare, Paramjit S. Minhas

All Peer-Reviewed Publications

The mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) is a highly invasive and polyphagous pest of global incidence. The fundamental hypothesis of the present study was that the temperature variations due to global climate change may affect seriously the future distribution and abundance of P. solenopsis, which might further aggravate the crop yield losses. We employed a temperature-based phenology model of P. solenopsis in a geographic information system for mapping population growth potentials of P. solenopsis. The three risk indices viz., establishment risk index, generation index and activity index were computed using interpolated temperature data from worldclim database for current (2000) …

The Impact Of Neogene Grassland Expansion And Aridification On The Isotopic Composition Of Continental Precipitation, Charles P. Chamberlain, Matthew J. Winnick, Hari T. Mix, Samuel D. Chamberlain, Katharine Maher

Environmental Studies and Sciences

The late Cenozoic was a time of global cooling, increased aridity, and expansion of grasslands. In the last two decades numerous records of oxygen isotopes have been collected to assess plant ecological changes, understand terrestrial paleoclimate, and to determine the surface history of mountain belts. The δ¹⁸(O) values of these records, in general, increase from the mid-Miocene to the Recent. We suggest that these records record an increase in aridity and expansion of grasslands in midlatitude continental regions. We use a nondimensional isotopic vapor transport model coupled with a soil water isotope model to evaluate the role of vapor recycling …

Photos That Changed The World: Ted Talk Annotated Resource List, Chris Riehl

Undergraduate Research Award

No abstract provided.

Agenda, Hr Adaptation Forum

September 19, 2014: Comparing Flooding and Sea Level Rise Risk Assessment Tools

No abstract provided.

The Sea Level Rise Inundation Tool, Molly Mitchell

September 19, 2014: Comparing Flooding and Sea Level Rise Risk Assessment Tools

No abstract provided.

Sea Level Rise Scenarios For Coastal Adaptation, Adam Parris

September 19, 2014: Comparing Flooding and Sea Level Rise Risk Assessment Tools

No abstract provided.

Developing Professional Skills In Stem Students: Data Information Literacy, Lisa Zilinski, Megan R. Sapp Nelson, Amy S. Van Epps

Libraries Faculty and Staff Scholarship and Research

Undergraduate STEM students are increasingly expected to have some data use skills upon graduation, whether they pursue post-graduate education or move into industry. This project was an initial foray into the application of data information literacy competencies to training undergraduate students to identify markers of data and information quality. The data consumer training appeared within two courses to help students evaluate data objects, including databases and datasets available on the Internet. The application of the Data Credibility Checklist provides a foundation for developing data reuse competencies. Based upon the initial presentation of the content, it became obvious that students need …

Utilizing Remote Sensing To Detect Deepwater Horizon Oil Spill Properties, Amanda Kristedja

e-Research: A Journal of Undergraduate Work

This paper focuses on the detection of oil spills using satellite information. ��For this research project, the focus will be primarily on the Deepwater Horizon Oil Spill, which is the largest accidental oil spill. In order to detect an oil spill, the chlorophyll a content must be observed with data from the SeaWiFs at 9km and the MODIS-aqua at 9km and 4km. There is conflicting evidence of whether or not chlorophyll a concentration is positively correlated with the presence of an oil spill. This will be further investigated in the experiment. Also, by utilizing the MODIS instrument aboard the terra …

The Bernoulli Family: Their Massive Contributions To Mathematics And Hostility Toward Each Other, Dung (Yom) Bui, Mohamed Allali

e-Research: A Journal of Undergraduate Work

Throughout the history of mathematics, there are several individuals with significant contributions. However, if we look at the contribution of a single family in this field, the Bernoulli probably outshines others in terms of both the number of mathematicians it produced and their influence on the development of mathematics. The most outstanding three Bernoulli mathematicians are Jacob I Bernoulli (1654-1705), Johann I Bernoulli (1667-1748), and Daniel Bernoulli (1700-1782), all three of whom were the most influential math experts in the academic community yet very hostile to each other. Their family structure and jealousy toward each other might have fueled their …

Get Outside The Box – And Go Outside!, Alaina Bernard

UCF Forum

We live in a fast-paced society, driven by technology and air conditioners. What would be the motivation for someone to get outside their box and go outside?

"Archive What I See Now" Bringing Institutional Web Archiving Tools To The Individual Researcher, Michele C. Weigle, Michael L. Nelson, Liza Potts

Computer Science Presentations

PDF of a powerpoint presentation from the 2014 National Endowment for the Humanities (NEH) Office of Digital Humanities (ODH) Project Directors' Meeting in Washington D. C., September 15, 2014. Also available form Slideshare.

A Keyword Sense Disambiguation Based Approach For Noise Filtering In Twitter, Sanjaya Wijeratne, Bahareh R. Heravi

Kno.e.sis Publications

In this paper, we describe an approach to filter out noisy data generated by keywords-based tweet filtering methods by performing Word Sense Disambiguation on those keywords used to collect tweets. We present the noise filtering problem as a binary classification problem and discuss our evaluation strategy which is to be carried out in future.

Mcauliffe Launches Climate Change Commission, Bill Sizemore

News Items

No abstract provided.

How Do We Know? Paths To Wisdom, Place

PLACE Historical Documents

This document explains the PLACE theme at Linfield College for 2014-2015 (How Do We Know? Paths to Wisdom).

Rasp-Qs: Efficient And Confidential Query Services In The Cloud, Zohreh S. Alavi, Lu Zhou, James L. Powers, Keke Chen

Kno.e.sis Publications

Hosting data query services in public clouds is an attractive solution for its great scalability and significant cost savings. However, data owners also have concerns on data privacy due to the lost control of the infrastructure. This demonstration shows a prototype for efficient and confidential range/kNN query services built on top of the random space perturbation (RASP) method. The RASP approach provides a privacy guarantee practical to the setting of cloudbased computing, while enabling much faster query processing compared to the encryption-based approach. This demonstration will allow users to more intuitively understand the technical merits of the RASP approach via …

Sharing Political News: The Balancing Act Of Intimacy And Socialization In Selective Exposure, Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft

Research Collection School Of Computing and Information Systems

One might think that, compared to traditional media, social media sites allow people to choose more freely what to read and what to share, especially for politically oriented news. However, reading and sharing habits originate from deeply ingrained behaviors that might be hard to change. To test the extent to which this is true, we propose a Political News Sharing (PoNS) model that holistically captures four key aspects of social psychology: gratification, selective exposure, socialization, and trust & intimacy. Using real instances of political news sharing in Twitter, we study the predictive power of these features. As one might expect, …

Exhibition Handlist, Kathleen M. Webb

Supplemental Media

In preparing for Imprints and Impressions, we ran across many interesting words that have fallen out of the general lexicon. With this booklet, we have brought one back: handlist. Dean Kathleen Webb ran across it in a 1944 booklet from the J. Pierpont Morgan Library in New York City. Though the word no longer appears in most new dictionaries, it’s still in the Oxford English Dictionary:

A list of a particular type or category of things, presented in a readily consultable form; esp. a list of the books or manuscripts in a particular place, on a particular subject, etc.; …

A Crowdsourcing Approach To Identify Common Method Bias And Self-Representation, Margeret A. Hall, Simon Caton

Interdisciplinary Informatics Faculty Proceedings & Presentations

Pertinent questions on the measurement of social indicators are: the verification of data gained online (e.g., controlling for self-representation on social networks), and appropriate uses in community management and policy-making. Across platforms like Facebook, LinkedIn, Twitter, and blogging services, users (sub)consciously represent themselves in a way which is appropriate for their intended audience (Qui et al., 2012; Zhao et al., 2008). However, scholars in the social sciences and computer science have not yet adequately addressed controlling for self-representation, or the propensity to display or censor oneself, in their analyses (Zhao et al., 2008; Das and Kramer, 2013). As such researchers …

Clear: A Real-Time Online Observatory For Bursty And Viral Events, Runquan Xie, Feida Zhu, Hui Ma, Wei Xie, Chen Lin

Research Collection School Of Computing and Information Systems

We describe our demonstration of CLEar (Clairaudient Ear), a real-time online platform for detecting, monitoring, summarizing, contextualizing and visualizing bursty and viral events, those triggering a sudden surge of public interest and going viral on micro-blogging platforms. This task is challenging for existing methods as they either use complicated topic models to analyze topics in a off-line manner or define temporal structure of fixed granularity on the data stream for online topic learning, leaving them hardly scalable for real-time stream like that of Twitter. In this demonstration of CLEar, we present a three-stage system: First, we show …

Interestingness-Driven Diffussion Process Summarization In Dynamic Networks, Qiang Qu, Siyuan Liu, Christian Jensen, Feida Zhu, Christos Faloutsos

Research Collection School Of Computing and Information Systems

The widespread use of social networks enables the rapid diffusion of information, e.g., news, among users in very large communities. It is a substantial challenge to be able to observe and understand such diffusion processes, which may be modeled as networks that are both large and dynamic. A key tool in this regard is data summarization. However, few existing studies aim to summarize graphs/networks for dynamics. Dynamic networks raise new challenges not found in static settings, including time sensitivity and the needs for online interestingness evaluation and summary traceability, which render existing techniques inapplicable. We study the topic of dynamic …

The Role Of Emotion And Facial Expression In Synthesised Sign Language Avatars, Robert G Smith

Other Resources

This thesis explores the role that underlying emotional facial expressions might have in regards to understandability in sign language avatars. Focusing specifically on Irish Sign Language (ISL), we examine the Deaf community’s requirement for a visual-gestural language as well as some linguistic attributes of ISL which we consider fundamental to this research. Unlike spoken language, visual-gestural languages such as ISL have no standard written representation. Given this, we compare current methods of written representation for signed languages as we consider: which, if any, is the most suitable transcription method for the medical receptionist dialogue corpus. A growing body of work …

A Study Of Age Gaps Between Online Friends, Lizi Liao, Jing Jiang, Ee Peng Lim, Heyan Huang

Research Collection School Of Computing and Information Systems

User attribute extraction on social media has gain considerable attention, while existing methods are mostly supervised which suffer great diffi- culty in insufficient gold standard data. In this paper, we validate a strong hypothesis based on homophily and adapt it to ensure the certainty of user attribute we extracted via weakly supervised propagation. Homophily, the theory which states that people who are similar tend to become friends, has been well studied in the setting of online social networks. When we focus on age attribute, based on this theory, online friends tend to have similar age. In this work, we take …

An Exploratory Study On Software Microblogger Behaviors, Yuan Tian, David Lo

Research Collection School Of Computing and Information Systems

Microblogging services are growing rapidly in the recent years. Twitter, one of the most popular microblogging sites, has gained more than 500 millions users. Thousands of developers are also using Twitter to communicate with one another and microblog about software-related topics such as programming languages, code libraries, etc. Understanding the behaviors of software microbloggers is one of the needed first steps toward building automated tools to encourage software microblogging activities and harness software microblogging to improve various software engineering activities. In this paper, we investigate the behaviors of software microbloggers in terms of their microblogging frequency, generated contents, and interactions …

Press: A Novel Framework Of Trajectory Compression In Road Networks, Renchu Song, Weiwei Sun, Baihua Zheng, Yu Zheng

Research Collection School Of Computing and Information Systems

Location data becomes more and more important. In this paper, we focus on the trajectory data, and propose a new framework, namely PRESS (Paralleled Road-Network-Based Trajectory Compression), to effectively compress trajectory data under road network constraints. Different from existing work, PRESS proposes a novel representation for trajectories to separate the spatial representation of a trajectory from the temporal representation, and proposes a Hybrid Spatial Compression (HSC) algorithm and error Bounded Temporal Compression (BTC) algorithm to compress the spatial and temporal information of trajectories respectively. PRESS also supports common spatial-temporal queries without fully decompressing the data. Through an extensive experimental study …

The Use Of Geospatial Clustering In Analysing Health Risk Profile, Sue-Mae Yeo, Tin Seong Kam, Kai Xin Thia, Dan Wu

Research Collection School Of Computing and Information Systems

Background & Hypothesis: The first law of geography states that “everything is related to everything else, but near things are more related than distant things”. This study aims to demonstrate how local indicator of spatial association (LISA) statistics are used to group patients with similar chronic diseases into natural clusters of hotspots found within northern Singapore by incorporating the proximity of their home locations explicitly. Methods: Anonymised chronic patient data collected from Khoo Teck Puat Hospital in 2013 were used for analyses. The data was mapped based on patients' residential addresses. A layer of hexagonal grid objects, each with a …