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big data for sustainable development

Responsible Business Forum on Sustainable Development 2017, Singapore. The 3Cs stand for Big Data ‘Crumbs’, Big Data ‘Capacities’ and Big Data ‘Community’; it fundamentally frames Big Data as an ecosystem, a complex system actually, not … The United Nations, governments, not-for-profits and other groups are using big data to help achieve the UN’s sustainable development goals or SDGs — a set of 17 targets related to protecting the natural environment, reducing inequality, improving health outcomes and other things that will make life better around the world. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Achieving these goals requires integrated action on social, environmental and economic challenges, with a focus on inclusive, participatory development that leaves no one behind. By some estimates, 90 per cent of the data in the world has been created in the last two years, and it is projected to increase by 40 per cent annually. Accordingly, SIOP’s science policy brief is titled: Decent Work for All: Leveraging Big Data for a Human-Centered Approach to Sustainable Development. Based on Waddock’s (1991) early definition of cross-sector partnerships, we use the term data partnership to describe collaborative organizational arrangements in which actors from different sectors attempt to cooperatively address a sustainable development problem through the exchange, processing, and analysis of big data. There, Odor and gaseous emissions from the swine industry are of concern for the wellbeing of humans and livestock. There is no scientific data evaluating the effectiveness of many of these products. This special issue belongs to the section "Information Systems and Data Management". Many governments still do not have access to adequate data on their entire populations. big data allows for the maximization of the collective intelligence of society. Because big data is the product of unique patterns of behaviour of individuals, removal of explicit personal information may not fully protect privacy. Major gaps are already opening up between the data haves and have-nots.  It produced important outcomes, including the launch of the Cape Town Global Action Plan for Sustainable Development Data. To distil insights from … The data revolution -- which encompasses the open data movement, the rise of crowdsourcing, new ICTs for data collection, and the explosion in the availability of big data, together with the emergence of artificial intelligence and the Internet of Things -- is already transforming society. The next meeting will be held in October 2020. Combining multiple datasets may lead to the re-identification of individuals or groups of individuals, subjecting them to potential harms. Much of the big data with the most potential to be used for public good is collected by the private sector. UN Global Pulse was created in 2009 to assist the United Nations in leveraging big data and data analysis for sustainable development and humanitarian action. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Introduction. Big Data for Development (BD4D) Network BD4D is a Southern-led partnership with the objective of developing policy relevant research on big data for development that is conceptualized and implemented by Southern organizations. Fostering and promoting innovation to fill data gaps. Proper data protection measures must be put in place to prevent data misuse or mishandling. Such social conversations contain real-time information on many issues, including food costs, the availability of jobs, access to health care, quality of education, and reports of natural disasters. Self-harm has become one of the leading causes of mortality in developed countries. A world that counts: Mobilizing the data revolution for sustainable development (Report prepared at the request of the United Nations Secretary General, by the Independent Expert Advisory Group on a Data Revolution for Sustainable Development). 1 December 2017: The UN has launched several initiatives to strengthen countries’ use of big data for sustainable development, including a 12-point plan on privacy and governance issues. (This article belongs to the Special Issue, Odor and gaseous emissions from the swine industry are of concern for the wellbeing of humans and livestock. Find support for a specific problem on the support section of our website. The Secretary-General’s Independent Expert Advisory Group on a Data Revolution for Sustainable Development (IEAG) has made specific recommendations on how to address these challenges, calling for a UN-led effort to mobilise the data revolution for sustainable development. By sharing and analysing data, information and knowledge over relevant tools and platforms, we can deliver a spatiotemporal Development Science Framework (DSF). Their complex overlap provides both challenges and opportunities in identifying and modelling important data attributes relating to various aspects of our sustainability, as clearly highlighted by the hundreds of indicators associated with each goal. Every day, people around the world send hundreds of millions of tweets in dozens of languages. We use cookies on our website to ensure you get the best experience. those of the individual authors and contributors and not of the publisher and the editor(s). Their complex overlap provides both challenges and opportunities in identifying and modelling important data attributes relating to various aspects of our sustainability, as clearly highlighted by the hundreds of indicators associated with each goal. Research articles, review articles as well as short communications are invited. The United Nations initiative, Pulse Lab Kampala, developed a prototype of a tool that makes it possible to conduct analyses of public discussions on the radio to help decision-makers align their strategies with the priorities of Ugandan communities. The recent publication of the SDGs Atlas by the World Bank, the Millenium Institute and Our World in Data has provided descriptive statistics and simulated patterns that are vital to understanding the levels of attainment of the 2030 Agenda globally. Between 2000 and 2007 the lowest rates of suicide in Canada were in. Achieving and monitoring the SDGs requires the partnership of governments, the private sector, civil society, and citizens alike. This essay provides a few examples of how the use of big data can precipitate more sustainable … All papers will be peer-reviewed. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. New insights gleaned from such data mining can complement official statistics and survey data, adding depth and nuance to information on human behaviours and experiences. AIS Big Data Hackathon. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Many people are excluded from the new world of data and information by language, poverty, lack of education, lack of technology infrastructure, remoteness or prejudice and discrimination. Big Data is expected to have a large impact on Smart Farming and involves the whole supply chain. It is supported by a grant from the International Development Research Centre (IDRC), Canada. In 2015, the world embarked on a new development agenda underpinned by the Sustainable Development Goals (SDGs). • Big Data is expected to cause major shifts in roles and power relations among traditional and non-traditional players. New sources of data - such as satellite data -, new technologies, and new analytical approaches, if applied responsibly, can enable more agile, efficient and evidence-based decision-making and can better measure progress on the Sustainable Development Goals (SDGs) in a way that is both inclusive and fair. SDG indicator data from different countries portray a deep and wide diversity across the continent, underlining the need for unified and more co-ordinated activities. Toronto’s urban landscape is quantified at spatial level through the calculation of its land use at different levels: (i) land use type, (ii) sprawl metrics relating to (a) dispersion and (b) sprawl/mix incidence; (iii) fragmentation metrics of (a) urban fragmentation and (b) density and (iv) demographics of (a) income and (b) age. To safely and responsibly unlock the value of data, Global Pulse established a data privacy programme, part of which involves ongoing research into privacy-protective uses of big data for humanitarian and development purposes. Global Pulse set up a Data Privacy Advisory Group, comprised of privacy experts from the regulatory community, private sector and academia, that engages in dialogue on the critical issues around big data and advises on the development of privacy tools and guidelines across the UN. All manuscripts are thoroughly refereed through a single-blind peer-review process. with data on social components (light intensity per household, telephone calls, social networks activity, use of transport, etc.). The UN System Staff College (UNSSC) with the Data-Pop Alliance launched a platform offering online … The volume of data in the world is increasing exponentially. Help us to further improve by taking part in this short 5 minute survey, Does Land Use and Landscape Contribute to Self-Harm? Please note that many of the page functionalities won't work as expected without javascript enabled. Research communities across disciplines and regions are called upon to engage in unified initiatives for identifying data challenges and opportunities as well as devising interdisciplinary frameworks, tools and methods to address them. Big Data is being increasingly explored for development purposes. Addressing real-world challenges requires engaging tools, skills and resources within a tripartite strategic framework centred on Data, Computing power and Information flow infrastructure (DCI). Similar techniques could be adopted to gain real-time insights into people’s wellbeing and to target aid interventions to vulnerable groups. Big data can shed light on disparities in society that were previously hidden. These standards seek to increase the usefulness of data through a much greater degree of openness and transparency, avoid invasion of privacy and abuse of human rights from misuse of data on individuals and groups, and minimise inequality in production, access to and use of data. Once you are registered, click here to go to the submission form. By some estimates, 90 per … Global Pulse promotes awareness of the opportunities big data presents for sustainable development and humanitarian action, develops high-impact analytics solutions for UN and government partners through its network of data science innovation centres, or Pulse Labs, in Indonesia (Jakarta), Uganda (Kampala) and the UN Headquarters (New York), and works to lower barriers to adoption and scaling. This is particularly true for the poorest and most marginalized, the very people that leaders will need to focus on if they are to achieve zero extreme poverty and zero emissions by 2030, and to ‘leave no one behind’ in the process. Theory and hypotheses. 1. For different countries, success will depend on the "will and ability" to invest in DCI, which in turn depends on existing levels of socioeconomic prosperity and integration. There is a broad range of actions needed, including building the capacities of all countries and particularly the Least Developed Countries (LDCs), Land-locked Developing Countries (LLDCs), and Small Island Developing States (SIDS). Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Dr. Charles Taylor. ... Big Data. Deadline for manuscript submissions: closed (31 August 2020). Fundamental elements of human rights must be safeguarded to realize the opportunities presented by big data: privacy, ethics and respect for data sovereignty require us to assess the rights of individuals along with the benefits of the collective. We evaluated 12 manure additive products that are currently being marketed on their effectiveness in mitigating odor and gaseous emissions from swine manure. Today, in the private sector, analysis of big data is commonplace, with consumer profiling, personalised services, and predictive analysis being used for marketing, advertising and management. Advances in computing and data science now make it possible to process and analyse big data in real time. Open Data in a Big Data World: challenges and opportunities for sustainable development Charles Ebikeme 1, Simon Hodson 2, Geoffrey Boulton 2, Heide Hackmann 1, Anne-Sophie Stevance , Lucilla Spini1 1International Council for Science (ICSU), Paris, France, 2ICSU Committee on Data for Science and Technology (CODATA), Paris, France Introduction Each organization is on a different point along this continuum, reflecting a number of factors such as awareness, technical ability and infrastructure, innovation capacity, governance, culture and resource availability. Data is the lifeblood of decision-making and the raw material for accountability. Much new data is collected passively – from the ‘digital footprints’ people leave behind and from sensor-enabled objects – or is inferred via algorithms. For instance, in Jakarta, Twitter conversations on the price of rice have provided an innovative way to monitor actual prices. Big Data. Authors may use MDPI's • Smart sensors and devices produce big amounts of data that provide unprecedented decision-making capabilities. This initiative is part of the mobile industry commitment to accelerating the delivery of the United Nations' Sustainable Development Goals. The volume of data in the world is increasing exponentially. In the current era of Big Data, our data generation capacities far outpace our data processing abilities, leaving a lot of useful information buried in potential data attributes.

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