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Nairobi 2010 Conference Reoprt  Climate Change and Natural Resource Use in Eastern Africa: Impacts, Adaptation and Mitigation Report of the 3rd Scientific Conference of the Ecological Society for Eastern Africa (ESEA) and co-hosted with the Pan African Climate Justice Alliance (PACJA) at Multimedia University College, Nairobi, 19 - 21 May 2010 By Nicholas Oguge, Caroline Lumosi, Teddy Odindo, Joseph Ngondi and Philista Malaki October 4, 2010 Summary While the Earth's climate has changed throughout history, the current warming trend has been of particular concern because most of it is human-induced and proceeding at a rate that is unprecedented.  One of the greatest concerns of this global warming is climate variability and change.  The risks associated with climate change add to development challenges such as food and water insecurity. Although climate change is only one of the many drivers negatively affecting biodiversity and ecosystem services, it certainly exacerbates the other factors such as land degradation and unsustainable natural resource use. There is general concern on the accelerating deterioration of the human environment and natural resources. This would widen poverty levels confronting eastern African countries and threaten gains made towards achieving the Millennium Development Goals. Thus, the Ecological Society for Eastern African organised its 3rd annual scientific conference with a theme addressing this global challenge.  The idea was to bring together researchers, policy makers and the general public together to discuss the climate change phenomena, its impacts, mitigation strategies and adaptation measures with regard to natural resource use in Eastern Africa. In order to address above issues and to reach out to a wider audience, we designed the conference strategically on three tiers:   1. Plenary talks: to provide policy information and direction, science on climate change, ecological and socio-economic effects, how to commun

I'm a so-so fan of Skype. I've used it on an infrequent basis and have had more than a few dropped calls. Audio and video alike. However, it's a cheap way to make long distance calls and seems to work better over wi-fi and the video quality is improving on a regular basis. So therefore it's probably a great tool for the classroom. But how can you use Skype to do more than just make calls? Well, there's a pantload of interesting ways! Check out these fun ideas: Collaborate! Meet with other classrooms: One of the most common projects educators utilize Skype for is setting up exchanges with classrooms around the world, usually for cultural exchange purposes or working together on a common assignment. The program's official site provides some great opportunities to meet up with like-minded teachers and students sharing the same goals. Practice a foreign language: Connect with individual learners or classrooms hailing from a different native tongue can use a Skype collaboration to sharpen grammar and pronunciation skills through conversation. Peace One Day: Far beyond classroom collaborations, the Peace One Day initiative teamed up with Skype itself and educators across the globe to teach kids about the importance of ending violence, war, and other social ills. Around the World with 80 Schools: This challenge asks participating schools to hook up with 80 worldwide and report back what all they've learned about other cultures and languages. Talk about the weather: One popular Skype project sees participants from different regions make note of the weather patterns for a specified period of time, with students comparing and contrasting the results. Collaborative poetry: In this assignment, connected classrooms pen poetic pieces together and share them via video conferencing. Practice interviews: The education system frequently receives criticism for its failure to prepare students for the real world, but using Skype to help them run through mock-up

Project Risk Management There will be an impact and probability score that will be assigned to each of the risk identified through the project risk management approach.

The project undertaken in this project management assignment is being conducted for Merck, German pharmaceutical, life sciences, and chemicals group.

Book Reviews Book title: Digitisation Perspectives Type: book Author: Ruth Rikowski Year: 2010 Edition: 1st ISBN: 9460912982 Publisher: Sense Publishers Publisher's Description: This book examines various views and perspectives on digitisation. As Simon Tanner, Director Digital Consultancy, King's College London says in the Foreword: "Digitisation has become a cultural, scholastic, economic and political imperative and raises many issues for our consideration." Furthermore, that the book: "...seeks to address and answer some of the big questions of digitisation... It succeeds on many levels..." There are 22 contributors in the book, all experts in their fields. The book is divided into six parts: Part 1: 'Background and Overview to Digitisation and Digital Libraries' Part 2: 'Digitisation and Higher Education' Part 3: 'Digitisation and Inequalities' Part 4: 'Digital Libraries, Reference Services and Citation Indexing' Part 5: 'Digitisation of Rare, Valued and Scholarly Works' Part 6: 'Futuristic Developments of Digitisation' Topics covered include electronic theses, search engine technology, digitisation in Africa, citation indexing, reference services, the Scholarly Publishing and Academic Resources Coalition, new media and scholarly publishing. The final chapter explores virtual libraries, and poses some interesting questions for possible futures. The book will be of particular interest to information professionals, educators, librarians, academics and I.T. and knowledge experts. Ruth Rikowski concludes by indicating that: "...hopefully, the book will provide a source of inspiration for further research, leading to some more effective ways to proceed with the digitisation process. Also, that it will be possible to do this within a framework that can be used for good rather than ill, and for the benefit of many." Reviewer: Eric Jukes (Formerly of College of Haringey, Enfield and North East London) Book Rating: 5/5 Buy this book from Amazon  Review Summary

Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer You need to have great correspondence and critical thinking skills. You need not know Python and technicals skills. A data architect will probably be tested on his/her programming skills. Get prepared as per the company's expectations. Prepare for the interviews- Create your Digital presence Over 80% of employers we addressed revealed that they check an applicant's LinkedIn profile. Recruiters need to crosscheck and assure the claims made in the resume are genuine or not. You ought to have a LinkedIn profile. It ought to be updated and enhanced by the role(s) you're applying for. Make a GitHub account. Writing computer programs is a crucial task in the data science job role. Transferring your code and ventures to GitHub helps the recruiters see your work directly. Regularly

Upgrade your project management skills by joining the PMP certification classes by ScholarsPro. Get in-depth knowledge of PMP concepts and techniques by our globally certified trainers and gain the confidence to drive each of your projects to success. URL : https://www.scholarspro.com/project-management/pmp-certification-training

Upgrade your project management skills by joining the PMP certification classes by ScholarsPro. Get in-depth knowledge of PMP concepts and techniques by our globally certified trainers and gain the confidence to drive each of your projects to success. URL : https://www.scholarspro.com/project-management/pmp-certification-training

How to Prepare for a Data Scientist Interview? Are you struggling to get into data science and wondering what the interviews will be like? You might even know data science. You might also know about Data Science tools and techniques but still getting rejected in the interviews. It is essential to brush up your skillset to become a Data Scientist in demand. These are some times where many of us are hoping to change or find some job. Interview preparation has become an important step to land a good job. What's more, interviews are a serious thing for everybody. Uncertainty, randomness, and human blunders make an interview damn unnerving. Preparing for an interview is the only way to limit your misfortunes during an interview. Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer

Lean project management refers to a systematic empirical framework that deals with the application of lean principles to streamline project operations while maximizing value and reducing waste including labour, equipment and materials.

Stakeholder management in project management plan defines a systematic corporate governance team who are responsible to perform specific tasks based on position, experience and area of expertise.

The operations management assignment examines the symbolic operational excellence of Walmart and discusses the role of ICT applications and artificial intelligence to extensively improve operation management within Kuwait.

Martin Ingram Virtually Everything More posts | Read bio December 28, 2010 - 3:09 P.M. The economics of desktop virtualization 4 Comments TAGS:desktop virtualization, enterprise, finance, government, healthcare, hosted desktop virtualization, PC IT TOPICS:Cloud Computing, Cybercrime & Hacking, Desktop Apps, Emerging Technology, Healthcare IT, Laptops & Netbooks, Virtualization, Windows With Thanksgiving and Christmas behind us and the New Year upon us, it is time to take stock and see what changed for desktop virtualization in 2010.  One thing is very clear: We have moved from desktop virtualization being 'about to take off' to 'has taken off' -- the evidence for this is pretty clear in the number of licenses sold. With volumes sold in the low millions, desktop virtualization is way beyond the tryout and pilot stage. However, desktop virtualization is not yet for every user. There are a number of areas where it's still not a good fit. For example, a user who does not always have access to the Internet from his or her laptop may not be able to use a hosted virtual desktop. This is a problem that will be addressed by client hypervisors in coming years. These provide the management benefits of desktop virtualization to the intermittently connected user. For now, they are very new but will become critical for mobile workers and may also have a major role to play in bringing down the costs of desktop virtualization for non-mobile users as well. Of perhaps more concern is the question of the economic basis for hosted virtual desktops. This has recently become more visible thanks to Microsoft's paper 'VDI TCO Analysis for Office Worker Environments,'  which compares the total cost of ownership of traditional PCs and their virtual desktop alternatives. Their conclusion is that hosted virtual desktops are more expensive to deliver than a traditional, well-managed PC. There are a number of interesting points and conclusions to draw from this document. Firstly, Micros

Become expert at all the aspects of project management with certified and high-end Certified Associate in Project Management (CAPM) training.

The following study prepared in this project management assignment would involve the implementation plan of a SAP ERP system in the Yes Chemist Pty Ltd.

Home > Data Science > How to learn Data Science in 2021? Data Science (DS) is a great, promising, and most demanding career. But are you confused about being a beginner and wanna know the Right Way to Learn DS? Technology is more into digitisation and due to this extensive transformation, huge data is expected to be produced in the coming future. To make use of such big data we need data scientists who can layout, design and filter the data in an organized way. All things considered, with a huge number of options available choosing the correct curriculum program and admission to the right institute is important. Besides all this, the course and institute to be suitable for your requirement are extremely difficult. While online courses are an incredible path for some to upskill, good opportunities from top colleges and universities are the platform for data scientists to test their knowledge in their field. Here are the five essential guidelines to turn into an expert in Data Science: Get a Data Science certificate or similar degree To get an opportunity as an entry-level data researcher, one would require a four-year certification in DS, math, insights and software engineering. Degrees can likewise give temporary job openings. All things considered if you have just secured a 4 yr certification in a different background through online e-courses or basic boot camps and workshops. The focus should be given to mastering the skills required for DS. Take a look at this course from AntWak on Data Engineering delivered by top global experts. Take comprehensive courses and devote time to learning You can become a top-class data researcher by taking a full course at a time. It will be the skill and instruments needed to turn into a data researcher, many critical projects and coaching help. A variety of such courses are available online that offer top to bottom analysis of subjects, for example, data scratching, AI, big data analysis and many more. To begin your learning

For effective project management, it is important for Project Managers to participate in Primavera training by Multisoft Systems.

No Kahuna makes teams tick. Whether at work, home, or among your friends, we help you work together on projects big and small. Simply: * Set up your project(s). * Refine and distribute tasks. * Track them as they're completed. There's no fuss, no unnecessary features - just an easy, intuitive and reliable way to make sure everyone does their bit.

Proud to be Leader in Cop2 organized in SMILE :) project  managed by European Schoolnet . I tried to describe here my top 10 Social Media Curation tools to develop a PLN . Please add your feed-back and add comments with your  favorite startups to build a PLN here http://bitly.com/collaborationincop2smile

# Video can be captured from a digital video camera, or a web cam such as the iMage Webcam or an iSight # Frames are captured into clips which helps you manage your project. These are then exported as clips within an iMovie project # Drawing directly within the application allows you to create effects on captured animation as well as draw some basic 2D animations.

This resource is intended to distil lessons learned from various JISC innovation programmes into a "Good Practice Guide for Sustaining and Embedding Innovations". It is intended to support project steering groups and management teams in further and higher education in decision-making in this area and focuses on: Changing people and culture.Working with existing institutional structures to influence organisational change.Embedding or aligning with strategies, processes, systems, initiatives and services.Creating usable tools and resources (as part of project outputs) to meet stakeholder needs.Developing commercial and open approaches to sustaining and embedding innovation.