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Using CSS Animations to try out ideas for a new project. Looks like they can do just what I need! No need for a complex video program, just type the code into a text editor and view it in a browser.
Also delighted to find my favourite new video editing program HitFilm Express can do "Instagram square" videos!
We got to Charleston, SC., early enough to stop and see the world's first successful combat submarine, the CSS Hunley.
German design portal. XHTML & CSS. Link: www.designerinaction.de. Posted to CSSHilfe // Inspiration: www.designerinaction.de
Seth Brown, PhD Candidate, Civil and Infrastructure Engineering, George Mason University. Seth’s talk entitled “To Green or Not to Green: Modeling Incentive-based Programs for Green Infrastructure Investment on Private Properties"
Abstract: Communities are in need of cost-effective and innovative strategies for stormwater management infrastructure investments. This need is driven by the fact that stormwater pollution is the only major source of increasing water pollution across much of the country including sensitive waterbodies such as the Chesapeake Bay. In reaction to this significant and growing source of water pollution, regulations at the Federal, State and local level continue to become more stringent, the level of treatment for runoff continues to increase. This reaction by the regulatory sector is driving an increase in stormwater infrastructure investment needs. The use of green stormwater infrastructure (GSI) and retention-based standards is on the rise across the U.S., but it is still considered a novel or innovative approach in many areas. The basis of the interest in GSI from the stormwater and wet weather sector is based upon the premise that retaining water on-site is more cost-effective in addressing issues such as combined sewer overflows (CSOs), treats the pollution within runoff while replenishing groundwater resources, and provides co-benefits water quality and quantity treatment, such as improved air quality, enhanced property values, and improved social well-being.
Considering that the goal of GSI is to retain runoff on-site, which is a decentralized approach to stormwater management that impacts significant segments of the landscape, the issue of treating stormwater on all types of properties, including private property is on the rise. This issue is multiplied for regulated entities who cannot meet regulatory requirements by implementing GSI on publically-owned land alone. For this reason, some municipalities are investigating the use of incentive-based programs to address the significant amount of stormwater runoff treatment required in permits. Understanding how incentive-based programs function requires a method of analysis reflecting the disaggregated and varying nature of decision-making by individuals, which can be irrational, inconsistent and driven by both monetary and non-monetary factors. Unlike idealized and mechanized systems, the dynamics associated with large populations of individual decision-makers is inherently non-deterministic. The field of computational social science has arisen to simulate how large populations of decision-makers behave, and what patterns emerge based upon varying initial conditions by using tools such as cellular automata and agent-based modeling (ABM). This approach is consistent with the investigation investment policies and strategies associated with the GSI adoption at the site level by private property owners, which is at the heart of the proposed research associated with this presentation.
The presentation will provide an overview of a methodology developed to simulate the amount and distribution of GSI investment in a given area based upon the use of incentive-based frameworks, such as a traditional fee/credit approach as well as non-traditional approaches, with an example being the Stormwater Retention Credit program established recently by the District Department of Environment (DDOE) that proposes to trade retention “credits” across the District to take advantage of cost heterogeneity and generate GSI implementation in area that can stand to benefit the most from the environmental, economic and social benefits associated with this infrastructure. Policies and strategies associated with these approaches, such as subsidies, project aggregation and escalating fee and rebate scales, will be discussed as well.
Live /Estragon @ Bologna.
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CSS 2000 is about to cross over the CN South Bend Sub in Stillwell, IN. Having had to wait for an e/b CN train the journey now continues. Taken 8/11/16
Live /Estragon @ Bologna.
Questa immagine é protetta da copyright ©. Tutti i diritti sono riservati. Ne é pertanto vietata la riproduzione, l'adattamento e la diffusione senza preventivo ed espresso consenso dell'autore.
Visitate il nostro sito: www.rocklab.it
Christopher L. Barrett, Executive Director, Virginia Bioinformatics Institute/Professor of Computer Science, Virginia Tech. Dr. Barrett’s talk entitled “Massively Interactive Systems: Thinking and Deciding in the Age of Big Data"
Abstract: This talk discusses advanced computationally assisted reasoning about large interaction-dominated systems. Current questions in science, from the biochemical foundations of life to the scale of the world economy, involve details of huge numbers and levels of intricate interactions. Subtle indirect causal connections and vastly extended definitions of system boundaries dominate the immediate future of scientific research. Beyond sheer numbers of details and interactions, the systems are variously layered and structured in ways perhaps best described as networks. Interactions include, and often co-create, these morphological and dynamical features, which can interact in their own right. Such “massively interacting” systems are characterized by, among other things, large amounts of data and branching behaviors. Although the amount of associated data is large, the systems do not even begin to explore their entire phase spaces. Their study is characterized by advanced computational methods. Major methodological revisions seem to be indicated.
Heretofore unavailable and rapidly growing basic source data and increasingly powerful computing resources drive complex system science toward unprecedented detail and scale. There is no obvious reason for this direction in science to change. The cost of acquiring data has historically dominated scientific costs and shaped the research environment in terms of approaches and even questions. In the several years, as the costs of social data, biological data and physical data have plummeted on a per-unit basis and as the volume of data is growing exponentially, the cost drivers for scientific research have clearly shifted from data generation to storage and analytical computation-based methods. The research environment is rapidly being reshaped by this change and, in particular, the social and bio–sciences are revolutionized by it. Moreover, the study of socially– and biologically–coupled systems (e.g., societal infrastructures and infectious disease public health policy analysis) is in flux as computation-based methods begin to greatly expand the scope of traditional problems in revolutionary ways.
How does this situation serve to guide the development of “information portal technology” for complex system science and for decision support? An example of an approach to detailed computational analysis of social and behavioral interaction with physical and infrastructure effects in the immediate aftermath of a devastating disaster will be described in this context.