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We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
O Workshop "Big Data para medição da Economia Digital" foi promovido de 26 a 28 de setembro, em São Paulo, pela Data-Pop Alliance, pela Comissão Econômica para a América Latina e o Caribe das Nações Unidas (CEPAL) e pelo Centro Regional de Estudos para o Desenvolvimento da Sociedade da Informação (Cetic.br).
Foto: Ricardo Matsukawa
EFI Planted Forests Facility Summer School, Palencia’18
Organised by iuFOR and EFI's Planted Forest Facility (formerly EFIATLANTIC)
Palencia (España)
Photo by Pilar Valbuena/iuFOR
Hosted by iuFOR ( Universidad de Valladolid & INIA) and Escuela Técnica Superior de IngenierÃas Agrarias, Universidad de Valladolid
Target public:
Graduate students (Masters and PhD) in forest sciences, forest geomatics or data science
Practitioners and IT staff from forest companies, administrations and R&D institutes
Target outcomes:
By the end of the course the participants will have a comprehensive overview of forest data management and analysis including relevant R skills to develop forest models at stand and tree levels and a foundation on cloud simulation of forest systems.
Rationale:
Forest management is facing different challenges due to the magnitude of the current environmental problems (climate change, invasive species, biodiversity crisis, etc.) and the growing demand for goods and services by the society.
Furthermore, the current Knowledge Society paradigm requires professionals to integrate different skills into their specific domain effectively; for example, the management of big databases, including analysis, modeling and decision making.
Although there are some local initiatives such as the DataForest MSc programme at University of Valladolid this specific type of education and training in data management and analysis is not available to forest managers and forest scientists. In general personnel involved in forest management and its environs have a good working knowledge of forest management systems and methods.
However this knowledge could be further enhanced by skills in other complimentary fields, such as database management, computer programming, data analysis, decision making through operational research techniques, geographic information systems and remote sensing.
More information on iuFOR, please visit sostenible.palencia.uva.es
More information on Máster en Gestión Forestal Basada en Ciencia de Datos, please visit sostenible.palencia.uva.es/content/master-en-gestion-fore...
If you use one of our photos, please credit it accordingly and let us know.
You can reach us through our Flickr account or at: instituto@forest.uva.es
The Promise of Data: Will this Bring a Revolution in Health Care?
(March 22 to 27, 2015)
Credit: Salzburg Global Seminar/Ela Grieshaber
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It has now become an orthodoxy that we are moving into the age of 'Big Data'. This derives from ever increasing processing power and the vast surge in connectedness - with mobile technologies at the forefront and sensors in nearly all appliances, we are set to have 50 billion devices by 2020 connected in the cloud. It is argued that medical decisions can be truly evidence based, combining the most complete medical science with personal data, drawing where appropriate on 24/7 monitoring through mobile devices and patient reported outcome measures. Lifestyle advice and preventive action can be honed with ever greater accuracy. Benefits from treatment, its best timing, lowest cost, better understood risk, and more predictable side-effects should all flow from this data transition, bringing lower costs and higher value.
Corporations are competing in both investment and rhetoric. In 2013 Google launched a new subsidiary, Calico, which Larry Page claimed would represent 'moonshot thinking around health care', and there have been many similar claims. But how is all this justified? And how can we ensure that those advances which do arise from this new control of data truly benefit patients, rather than just the provider - and that this will be a benefit distributed across the social gradient and globally?
What are the risks on the horizon? Data is often siloed and used for competitive advantage. Protocols around privacy could be tested to destruction; for instance, it is possible to reverse engineer anonymized data to identify individuals. Forbes magazine even reports a case of medical data being sold on eBay. How might these risks be best mitigated?
This session will review the claims for Big Data and its true potential, and seek to identify the conditions under which it should yield the greatest benefits to patients and populations.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
Joel Tauber
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
Event: 2017 Global Operations Conference
Photographer: Philip Dattilo
Rights: © 2017 Regents of the University of Michigan. ALL RIGHTS RESERVED.
(734) 647-0308. Tauber.umich.edu
The Big Data Foundation certification is designed to provide candidates with a well-rounded understanding of big data. It used for solving real business problems and an overview of data mining and the tools used in it.
BENEFITS
Participants in this course will obtain the following benefits:
Detailed understanding of Big Data and Data Mining concepts.
Ability to identify and obtain relevant datasets when looking at a business problem.
Ability to install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level.
more information about bigdata visit : goo.gl/jgpa6m
Take big data exploration to the next level with combination charts from ZoomCharts.
Explore the intricacies of social networks and glean data otherwise incomprehensible with a stunningly vibrant, visual, fully customizable, and completely interactive and intuitive network chart, time chart, and pie chart combination.
ZoomChartsâ interactive drill down feature means that you can instantly and easily dive deeper into massive data sets with just a simple click of your mouse or tap of your finger.
For example, a click or tap on Juliaâs image in the network chart, and a pie chart is generated, showing which social networks Julia uses, and the percentage of the frequency of each.
We can see that Julia uses the instant messaging mobile app WhatsApp quite a bit, and the social networking giant Facebook very little.
When clicking on a social network, we can see how often Julia posts about particular topics. For example, she is very interested in marriage and television, and much less about weight.
Clicking on a particular topic pulls up a time chart that reveals the topics Julia posts about filtered by various time intervals.
To go back and explore other social network stats, simply click or tap Juliaâs picture.
With ZoomCharts, you can work with data charts on any device. Use more traditional devices such as desktops and laptops, or take your data with you to go on any modern mobile device, including touchscreen enabled devices such as tablets and phones.
The unmatched high speed performance of ZoomCharts tools means that every click you make results in instantaneous updates and changes, so thereâs no waiting around for data to load.
See it all in action at social.zoomcharts.com/
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The worldâs most interactive data visualization software
#zoomcharts #interactive #data #visualization #charts #graphs #bigdata #dataviz #social #socialnetwork #network #networkchart #netchart #timechart #piechart #Facebook #Twitter #Skype #LinkedIn #email #Instagram #GooglePlus #WhatsApp
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
O Workshop "Big Data para medição da Economia Digital" foi promovido de 26 a 28 de setembro, em São Paulo, pela Data-Pop Alliance, pela Comissão Econômica para a América Latina e o Caribe das Nações Unidas (CEPAL) e pelo Centro Regional de Estudos para o Desenvolvimento da Sociedade da Informação (Cetic.br).
Foto: Ricardo Matsukawa