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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

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

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.

"This web site synthesises outputs from the JISC Learner Experiences of e-Learning programme. The programme spanned two phases over four years from 2005-2009. It comprised nine research projects in total (two in phase 1 and seven in phase two), employed mixed method approaches, and had the sustained involvement of over 200 learners and more than 3000 survey respondents. Five national workshops were run disseminating the methods and findings. The programme focussed on the learner voice. Learners allowed us into their worlds and showed us what it is like to study in a technology-rich age. The projects produced a huge collection of rich, detailed data that sheds light on what learners expect from the use of technology in post-compulsory education and the choices they make about using technology to support their study."

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.

With the Christmas Holiday's finally here this is the perfect opportunity to catch up on some of that reading which has been delayed while more pressing matters are dealt with. Here are the top items on my holiday reading list. With a project underway that explores a conceptual based approach to teaching mathematics there is a bias in that direction. 

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

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