Global warming is caused by greenhouse gases such as carbon dioxide, CFCs, methane and HCFCs released from activities like deforestation, agriculture, and industrialization. This leads to extreme weather, rising sea levels as ice caps melt, ecosystem damage like coral bleaching and extinction, and problems like desertification and infectious diseases. Individual actions like using less energy, traveling efficiently, afforestation, and conserving resources can help address the climate crisis.
Global warming definitions_clil_ceip_pl_riadevigo_2017riaenglish
In this segment of our Global Warming project, we created definitions to define the causes and effects that our students had brainstormed earlier in the year. With dramatic pictures of Global Warming effects, we were able to show the severity of climate change.
Global warming definitions_clil_ceip_pl_riadevigo_2017riaenglish
In this segment of our Global Warming project, we created definitions to define the causes and effects that our students had brainstormed earlier in the year. With dramatic pictures of Global Warming effects, we were able to show the severity of climate change.
Networked Audiences: what we learn from data / Gilad Lotan / IPZ2012Gilad Lotan
At a time when attention is a scarce commodity, true power lies in understanding how information flows within networked audiences. It is no longer possible to demand one's attention, or even expect it at a certain point in time. For a message to spread, it must be picked out from overflowing streams of updates, photos and links, and chosen to be reposted by each individual. The networked nature of social media may give some messages an overwhelming boost in popularity, but in most cases they fade as fast as they were created. It is imperative that we use available data to better model, track and gain insight about our audiences in order to make the best decision at any given time.
Algorithms can be very useful, especially when filtering through lots and lots of information. They can help us identify trends, quickly sum up popular concepts, and detect outliers at very early stages. I'd like to believe that my role as a data scientist is to give the digg editors superpowers - help them find quality content as early as possible.
With the growing amount of information/content published, and people’s continued expectation that “news will find them”, there's no doubt we need to depend on algorithmic mechanisms. But we also need to design these algorithmic systems while questioning ourselves – what is it that we’re optimizing? Is it only “eyeballs” or is there a higher cause we should aim for?
The choices that we make when designing these systems are like setting the rules of a game: they determine who wins and who loses.
Slide deck from my presentation at NYC's #Pydata 2012 conference - http://nyc2012.pydata.org/abstracts/#gephi
Talk abstract:
Are you interested in working with social data to map out communities and connections between friends, fans and followers? In this session I'll show ways in which we use the python networkx library along with the open source gephi visualization tool to make sense of social network data. We'll take a few examples from Twitter, look at how a hashtag spreads through the network, and then analyze the connections between users posting to the hashtag. We'll be constructing graphs, running stats on them and then visualizing the output.
Networked Audiences: what we learn from data / Gilad Lotan / IPZ2012Gilad Lotan
At a time when attention is a scarce commodity, true power lies in understanding how information flows within networked audiences. It is no longer possible to demand one's attention, or even expect it at a certain point in time. For a message to spread, it must be picked out from overflowing streams of updates, photos and links, and chosen to be reposted by each individual. The networked nature of social media may give some messages an overwhelming boost in popularity, but in most cases they fade as fast as they were created. It is imperative that we use available data to better model, track and gain insight about our audiences in order to make the best decision at any given time.
Algorithms can be very useful, especially when filtering through lots and lots of information. They can help us identify trends, quickly sum up popular concepts, and detect outliers at very early stages. I'd like to believe that my role as a data scientist is to give the digg editors superpowers - help them find quality content as early as possible.
With the growing amount of information/content published, and people’s continued expectation that “news will find them”, there's no doubt we need to depend on algorithmic mechanisms. But we also need to design these algorithmic systems while questioning ourselves – what is it that we’re optimizing? Is it only “eyeballs” or is there a higher cause we should aim for?
The choices that we make when designing these systems are like setting the rules of a game: they determine who wins and who loses.
Slide deck from my presentation at NYC's #Pydata 2012 conference - http://nyc2012.pydata.org/abstracts/#gephi
Talk abstract:
Are you interested in working with social data to map out communities and connections between friends, fans and followers? In this session I'll show ways in which we use the python networkx library along with the open source gephi visualization tool to make sense of social network data. We'll take a few examples from Twitter, look at how a hashtag spreads through the network, and then analyze the connections between users posting to the hashtag. We'll be constructing graphs, running stats on them and then visualizing the output.
Discusses how to leverage the Twitter ecosystem that is already generating revenue by monetizing the Twitter API through a premium Twitter Developer Program. Submission to the Silicon Alley Insider Create Twitter's Revenue Model Contest.
Slides that helps you to know the major skills of Project Manager, and it describes the fundamentals of Project Management which is a very important part of Software Engineering.
Created to explain the steps it takes for someone to find / become a member of a small group as well as the background and setup processes required by staff.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
![Cause ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)