Social and Behavioral Sciences Commons^™

Agenda: A Low-Carbon Energy Blueprint For The American West, University Of Colorado Boulder. Natural Resources Law Center, University Of Colorado Boulder. Renewable And Sustainable Energy Institute, Western Resource Advocates, Rocky Mountain Research Station (Fort Collins, Colo.)

A Low-Carbon Energy Blueprint for the American West (Martz Summer Conference, June 6-8)

The future of the planet may depend upon our ability to increase energy supplies even as we reduce carbon emissions. This conference will address how a low-carbon energy program might evolve with a particular focus on the American West. It will focus on the future of energy in the West--on a “managed transition” to a different energy mix, on the need to nest this effort in a framework that acknowledges interconnections, and on identifying the most salient opportunities to consider the legal, political, financial, and technical challenges.

Industrial Policy And Renewable Energy: Trade Conflicts, Robert J. Carbaugh, Max St. Brown

All Faculty Scholarship for the College of Business

Governments use industrial policy to promote the development of new industries and the creation and adoption of new technologies. Such policy involves subsidies granted to producers and consumers, usually for the purpose of correcting a market failure. Concerning renewable energies such as wind energy and solar energy, China, the United States, and the European Union provide extensive support to producers and consumers. This support has resulted in trade frictions among these nations. This paper discusses the relationship between industrial policy and trade disputes in renewable energy.

Green Infrastructure Resource Directory, New England Environmental Finance Center

Sustainable Communities Capacity Building

Green infrastructure is an approach for managing stormwater that uses vegetation and soils to capture and treat rainwater where it falls. Unlike single-purpose gray infrastructure, green infrastructure realizes multiple benefits at once, including flood mitigation, improved water and air quality, community beautification, provision of recreational opportunities, and energy and cost savings. This resource directory is intended to help communities design, implement, fund, and monitor green infrastructure practices and programs. It was compiled by the Environmental Finance Center Network through the Capacity Building for Sustainable Communities program funded by U.S. Department of Housing and Urban Development and U.S. Environmental Protection Agency. …

A Survey Of Seafood Traceability And Sustainability In The United States— Processes, Regulations, And Current Initiatives, Nancy A. Olsen

Working Papers

The global seafood industry currently lacks a standardized, widespread method to easily trace the chain of custody of products that they purchase. With global overfishing leading to declining fish stocks around the world, it is vital for seafood providers to have the ability to identify and buy products from sustainable fisheries that are well managed, target abundant species, and fish in environmentally responsible ways. This paper analyzes public and private initiatives that seek to provide product traceability. In summarizing the current status of seafood traceability, stakeholders agree that are a number of challenges with trying to piece together so many …

Prototype For Monitoring And Forecasting Fall Foliage Coloration In Real Time From Satellite Data, Xiaoyang Zhang, Mitchell D. Goldberg, Yunyue Yu

GSCE Faculty Publications

While determining vegetation phenology from the time series of historical satellite data has been widely investigated throughout the last decade, little effort has been devoted to real-time monitoring and short-term forecasting. The latter is more important for numerical weather modeling, ecosystem forecasting, forest and crop management, and health risk warning. In this study we developed a prototype approach for the real-time monitoring and short-term forecasting of fall foliage status (including low coloration, moderate coloration, near-peak coloration, peak coloration, and post-peak coloration) using temporal satellite observations. The algorithm combined the climatology of vegetation phenology and temporally available satellite observations to establish …

Topical Anomaly Detection From Twitter Streams, Pramod Anantharam, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Brief 6: Environmental Emergencies: Challenges And Lessons For International Environmental Governance, Rene Nijenhuis, Carl Bruch

Governance and Sustainability Issue Brief Series

This brief examines the strengths and weaknesses of existing instruments and institutions and addresses the efforts to improve coordination among the international sectors of environmental emergency response. Potential operational, capacity-building, and legal options for strengthening prevailing mechanisms are identified and discussed, including the need for stronger political mandates, the need for a stronger framework to address fragmentation, and the need for procedures to support and facilitate environmental emergency responders. The lessons from this discourse can improve the field of environmental emergency response, while also informing advancements in broader context of international environmental governance.

Prediction Of Topic Volume On Twitter, Yiye Ruan, Hemant Purohit, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth

Kno.e.sis Publications

We discuss an approach for predicting microscopic (individual) and macroscopic (collective) user behavioral patterns with respect to specific trending topics on Twitter. Going beyond previous efforts that have analyzed driving factors in whether and when a user will publish topic-relevant tweets, here we seek to predict the strength of content generation which allows more accurate understanding of Twitter users' behavior and more effective utilization of the online social network for diffusing information. Unlike traditional approaches, we consider multiple dimensions into one regression-based prediction framework covering network structure, user interaction, content characteristics and past activity. Experimental results on three large Twitter …

A Web-Based Study Of Self-Treatment Of Opioid Withdrawal Symptoms With Loperamide, Raminta Daniulaityte, Robert G. Carlson, Russel S. Falck, Delroy H. Cameron, Sujan Udayanaga, Lu Chen, Amit P. Sheth

Kno.e.sis Publications

Aims: Many websites provide a medium for individuals to freely share their experiences and knowledge about different drugs. Such user-generated content can be used as a rich data source to study emerging drug use practices and trends. The study aims to examine web-based reports of loperamide use practices among non-medical opioid users. Loperamide, a piperidine derivative, is an opioid agonist approved for the control of diarrhea symptoms. Because of its general inability to cross the blood-brain barrier, it is considered to have no abuse potential and is available without a prescription. Methods: A website that allows free discussion of illicit …

Measuring And Modeling Investment Behavior In A Social Network, Alex Dusenbery

Graduate Masters Theses

Over the past decade, a great deal of research has been done on the dynamics of complex networks, particularly in the realm of social networks. As online social networks (Facebook, LinkedIn, etc.) have exploded in popularity, a deluge of data has become available to researchers, providing detailed histories of online social interaction. A growing number of small-scale online networks aimed at certain niche groups of users have also sprouted up, providing a richer context for the study of social network dynamics. One such network is Currensee, which provides a social platform for investors in the foreign exchange market. Through the …

Geophysical And Remote Sensing Applications For A Better Understanding Of The Structural Controls On Groundwater Flow In The Lucerne Valley, California, Dale R. Dailey

Masters Theses

An integrated study was conducted in the Mojave Basin to investigate the potential role of faults and basement uplifts for groundwater flow in the Mojave Desert. Observations made include: 1) Very Low Frequency (VLF) measurements across mapped (using LIDAR and Geoeye-1 imagery) fault traces showed significant radio field dip angles indicative of presence of shallow sub-vertical, sheet-like conductors; many of the VLF tilt peaks coincided with changes in the magnetic profiles; 2) Vertical Electric Soundings indicate shallow basement west of, and parallel to, the Helendale Fault and deep saturated zones east of the fault/basement outcrop (F/B); and 3) isotopic analyses …

Reducing The Enviromental Impact Of Horse Keeping, Amanda R. Shere

Social Sciences

No abstract provided.

Visualizing Media Bias Through Twitter, Jisun An, Meeyoung Cha, Gummadi, Krishna, Jon Crowcroft, Daniele Queria

Research Collection School Of Computing and Information Systems

Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media sources along a dimensional dichotomous political spectrum using the co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show that the political dichotomy naturally arises on Twitter when we only consider direct media subscription. Furthermore, we demonstrate a real-time Twitter-based application …

What Does Software Engineering Community Microblog About?, Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Microblogging is a new trend to communicate and to disseminate information. One microblog post could potentially reach millions of users. Millions of microblogs are generated on a daily basis on popular sites such as Twitter. The popularity of microblogging among programmers, software engineers, and software users has also led to their use of microblogs to communicate software engineering issues apart from using emails and other traditional communication channels.Understanding how millions of users use microblogs in software engineering related activities would shed light on ways we could leverage the fast evolving microblogging content to aid software development efforts. In this work, …

When A Friend In Twitter Is A Friend In Life, Wei Xie, Cheng Li, Feida Zhu, Ee-Peng Lim, Xueqing Gong

Research Collection School Of Computing and Information Systems

Twitter is a fast-growing online social network service (SNS) where users can "follow" any other user to receive his or her mini-blogs which are called "tweets". In this paper, we study the problem of identifying a user's off-line real-life social community, which we call the user'sTwitter off-line community, purely from examining Twitter network structure. Based on observations from our user-verified Twitter data and results from previous works, we propose three principles about Twitter off-line communities. Incorporating these principles, we develop a novel algorithm to iteratively discover the Twitter off-line community based on a new way of measuring user closeness. According …

System Dynamics Implementation Of A Model Of Population And Resource Dynamics With Adaptation, Takuro Uehara, Yoko Nagase, Wayne Wakeland

Complex Systems Faculty Publications and Presentations

We build and analyze a dynamic ecological economic model that incorporates endogenous innovation on input substitutability. The use of the system dynamics method allows us to depart from conventional equilibrium thinking and conduct an out-of-equilibrium (adaptation) analysis. Simulation results show that while improvement in input substitutability will expand an economy, this change alone may not improve sustainability measured by indicators such as utility-per-capita and natural resource stock. It could, however, be possible that in combination with other technological progress, improvement in input substitutability will contribute to sustainable development. Sensitivity analysis also indicates a possible complication with the use of exogenous …

Digital Evidence Education In Schools Of Law, Aaron Alva, Barbara Endicott-Popovsky

Annual ADFSL Conference on Digital Forensics, Security and Law

An examination of State of Connecticut v. Julie Amero provides insight into how a general lack of understanding of digital evidence can cause an innocent defendant to be wrongfully convicted. By contrast, the 101-page opinion in Lorraine v. Markel American Insurance Co. provides legal precedence and a detailed consideration for the admission of digital evidence. An analysis of both cases leads the authors to recommend additions to Law School curricula designed to raise the awareness of the legal community to ensure such travesties of justice, as in the Amero case, don’t occur in the future. Work underway at the University …

A Case Study Of The Challenges Of Cyber Forensics Analysis Of Digital Evidence In A Child Pornography Trial, Richard Boddington

Annual ADFSL Conference on Digital Forensics, Security and Law

Perfunctory case analysis, lack of evidence validation, and an inability or unwillingness to present understandable analysis reports adversely affect the outcome course of legal trials reliant on digital evidence. These issues have serious consequences for defendants facing heavy penalties or imprisonment yet expect their defence counsel to have clear understanding of the evidence. Poorly reasoned, validated and presented digital evidence can result in conviction of the innocent as well as acquittal of the guilty. A possession of child pornography Case Study highlights the issues that appear to plague case analysis and presentation of digital evidence relied on in these odious …

After Five Years Of E-Discovery Missteps: Sanctions Or Safe Harbor?, Milton Luoma, Vicki Luoma

Annual ADFSL Conference on Digital Forensics, Security and Law

In 2003 the Zubulake case became the catalyst of change in the world of e-discovery. In that case Judge Shira Scheindlin of the United States District Court for the Southern District of New York set guidelines for e-discovery that served as the basis for amending the Federal Rules of Civil Procedure (FRCP) in December 2006. The amendments incorporated a number of concepts that were described by Judge Scheindlin in the Zubulake case. ( Zubulake v. UBS Warburg LLC, 2003) Since the Zubulake case and the FRCP amendments, numerous cases have interpreted these rules changes, but one of the main points …

Multi-Parameter Sensitivity Analysis Of A Bayesian Network From A Digital Forensic Investigation, Richard E. Overill, Echo P. Zhang, Kam-Pui Chow

Annual ADFSL Conference on Digital Forensics, Security and Law

A multi-parameter sensitivity analysis of a Bayesian network (BN) used in the digital forensic investigation of the Yahoo! email case has been performed using the principle of ‘steepest gradient’ in the parameter space of the conditional probabilities. This procedure delivers a more reliable result for the dependence of the posterior probability of the BN on the values used to populate the conditional probability tables (CPTs) of the BN. As such, this work extends our previous studies using singleparameter sensitivity analyses of BNs, with the overall aim of more deeply understanding the indicative use of BNs within the digital forensic and …

Facilitating Forensics In The Mobile Millennium Through Proactive Enterprise Security, Andrew R. Scholnick

Annual ADFSL Conference on Digital Forensics, Security and Law

This work explores the impact of the emerging mobile communication device paradigm on the security-conscious enterprise, with regard to providing insights for proactive Information Assurance and facilitation of eventual Forensic analysis. Attention is given to technology evolution in the areas of best practices, attack vectors, software and hardware performance, access and activity monitoring, and architectural models.

Keywords: Forensics, enterprise security, mobile communication, best practices, attack vectors.

Cloud Forensics Investigation: Tracing Infringing Sharing Of Copyrighted Content In Cloud, Yi-Jun He, Echo P. Zhang, Lucas C.K. Hui, Siu Ming Yiu, K.P. Chow

Annual ADFSL Conference on Digital Forensics, Security and Law

Cloud Computing is becoming a significant technology trend nowadays, but its abrupt rise also creates a brand new front for cybercrime investigation with various challenges. One of the challenges is to track down infringing sharing of copyrighted content in cloud. To solve this problem, we study a typical type of content sharing technologies in cloud computing, analyze the challenges that the new technologies bring to forensics, formalize a procedure to get digital evidences and obtain analytical results based on the evidences to track down illegal uploader. Furthermore, we propose a reasoning model based on the probability distribution in a Bayesian …

Ipad2 Logical Acquisition: Automated Or Manual Examination?, Somaya Ali, Sumaya Alhosani, Farah Alzarooni, Ibrahim Baggili

Annual ADFSL Conference on Digital Forensics, Security and Law

Due to their usage increase worldwide, iPads are on the path of becoming key sources of digital evidence in criminal investigations. This research investigated the logical backup acquisition and examination of the iPad2 device using the Apple iTunes backup utility while manually examining the backup data (manual examination) and automatically parsing the backup data (Lantern software - automated examination). The results indicate that a manual examination of the logical backup structure from iTunes reveals more digital evidence, especially if installed application data is required for an investigation. However, the researchers note that if a quick triage is needed of an …

A Fuzzy Hashing Approach Based On Random Sequences And Hamming Distance, Frank Breitinger, Harald Baier

Annual ADFSL Conference on Digital Forensics, Security and Law

Hash functions are well-known methods in computer science to map arbitrary large input to bit strings of a fixed length that serve as unique input identifier/fingerprints. A key property of cryptographic hash functions is that even if only one bit of the input is changed the output behaves pseudo randomly and therefore similar files cannot be identified. However, in the area of computer forensics it is also necessary to find similar files (e.g. different versions of a file), wherefore we need a similarity preserving hash function also called fuzzy hash function. In this paper we present a new approach for …

The Xbox 360 And Steganography: How Criminals And Terrorists Could Be "Going Dark", Ashley Podhradsky, Rob D’Ovidio, Cindy Casey

Annual ADFSL Conference on Digital Forensics, Security and Law

Video game consoles have evolved from single-player embedded systems with rudimentary processing and graphics capabilities to multipurpose devices that provide users with parallel functionality to contemporary desktop and laptop computers. Besides offering video games with rich graphics and multiuser network play, today's gaming consoles give users the ability to communicate via email, video and text chat; transfer pictures, videos, and file;, and surf the World-Wide-Web. These communication capabilities have, unfortunately, been exploited by people to plan and commit a variety of criminal activities. In an attempt to cover the digital tracks of these unlawful undertakings, anti-forensic techniques, such as steganography, …

Double-Compressed Jpeg Detection In A Steganalysis System, Jennifer L. Davidson, Pooja Parajape

Annual ADFSL Conference on Digital Forensics, Security and Law

The detection of hidden messages in JPEG images is a growing concern. Current detection of JPEG stego images must include detection of double compression: a JPEG image is double compressed if it has been compressed with one quality factor, uncompressed, and then re-compressed with a different quality factor. When detection of double compression is not included, erroneous detection rates are very high. The main contribution of this paper is to present an efficient double-compression detection algorithm that has relatively lower dimensionality of features and relatively lower computational time for the detection part, than current comparative classifiers. We use a model-based …

Toward Alignment Between Communities Of Practice And Knowledge-Based Decision Support, Jason Nichols, David Biros, Mark Weiser

Annual ADFSL Conference on Digital Forensics, Security and Law

The National Repository of Digital Forensics Information (NRDFI) is a knowledge repository for law enforcement digital forensics investigators (LEDFI). Over six years, the NRDFI has undertaken significant design revisions in order to more closely align the architecture of the system with theory addressing motivation to share knowledge and communication within ego-centric groups and communities of practice. These revisions have been met with minimal change in usage patterns by LEDFI community members, calling into question the applicability of relevant theory when the domain for knowledge sharing activities expands beyond the confines of an individual organization to a community of practice. When …

A Proposal For Incorporating Programming Blunder As Important Evidence In Abstraction-Filtration-Comparison Test, P. Vinod Bhattathiripad

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper investigates an unexplored concept in Cyber Forensics, namely, a Programming Blunder. Programming Blunder is identified as a variable or a code segment or a field in a database table, which is hardly used or executed in the context of the application or the user’s functionality. Blunder genes can be found in many parts of any program. It is the contention of this paper that this phenomenon of blunders needs to be studied systematically from its very genetic origins to their surface realizations in contrast to bugs and flaws, especially in view of their importance in software copyright infringement …

Update On The State Of The Science Of Digital Evidence Examination, Fred Cohen

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper updates previous work on the level of consensus in foundational elements of digital evidence examination. Significant consensus is found present only after definitions are made explicit, suggesting that, while there is a scientific agreement around some of the basic notions identified, the use of a common language is lacking.

Keywords: Digital forensics examination, terminology, scientific methodology, testability, validation, classification, scientific consensus

Integrating Owl And Rules: A Syntax Proposal For Nominal Schemas, David Carral Martinez, Adila Krisnadhi, Pascal Hitzler

Computer Science and Engineering Faculty Publications

This paper proposes an addition to OWL 2 syntax to incorporate nominal schemas, which is a new description-logic style extension of OWL 2 which was recently proposed, and which makes is possible to express "variable nominal classes" within axioms in an OWL 2 ontology. Nominal schemas make it possible to express DL-safe rules of arbitrary arity within the extended OWL paradigm, hence covering the well-known DL-safe SWRL language. To express this feature, we extend OWL 2 syntax to include necessary and minimal modifications to both Functional and Manchester syntax grammars and mappings from these two syntaxes to Turtle/RDF. We also …