What Does Big Data Mean For Sustainability?

Curated on Posted on by Stefaan Verhulst

Saurabh Tyagi at Sustainable Brands: “Everything around us is impacted by big data today. The phenomenon took shape earlier in this decade and there are now a growing number of compelling ways in which big data analytics is being applied to solve real-world problems….Out of the many promises of big data, environment sustainability is one of the most important ones to implement and maintain. Why so?

Climate change has moved to the top of the list of global risks, affecting every country and disrupting economies. While a major part of this damage is irreversible, it is still possible with use of a wide range of technological measures to control the global increase in temperature. Big data can generate useful insights that can be as relevant towards fostering environment sustainability as they have been to other sectors such as healthcare.

Understanding operations

Big data’s usefulness is in its ability to help businesses understand and act on the environmental impacts of their operations. Some of these are within their boundaries while others are outside their direct control. Previously, this information was dispersed across different formats, locations and sites. However, now businesses are trying to make out the end-to-end impact of their operations throughout the value chain. This includes things that are outside of their direct control, including raw material sourcing, employee travels, product disposal, and the like.

Assessing environmental risks

Big data is also useful in assessing environmental risks. For example, Aqueduct is an interactive water-risk mapping tool from the World Resources Institute that monitors and calculates water risk anywhere in the world based on various parameters related to the water’s quantity, quality and other changing regulatory issue in that area. With this free online, users can choose the factors on which they want to focus and also zoom in at a particular location.

Big data is also enabling environmental sustainability by helping us to understand the demand for energy and food as the world population increases and climate change reduces these resources by every passing year.

Optimizing resource usage

Another big contribution of big data to the corporate world is its ability to help them optimize usage of resources. At the Initiative for Global Environment Leadership (IGEL) conference in 2014, David Parker, VP of Big Data for SAP, discussed how Italian tire company Pirelli uses SAP’s big data management system, HANA, to optimize its inventory. The company uses data generated by sensors in its tires globally to reduce waste, increase profits and reduce the number of defective tires going to landfills, thus doing its bit for environment. Similarly, Dutch energy company Alliander uses HANA to maintain the grid’s peak efficiency, which in turn increases profits and reduces environmental impact. While at one time it used to take 10 weeks for the company to optimize the grid, now it takes only three days to accomplish the same; a task which Alliander used to do once in a year now can be accomplished once every month….

Big data helps better regulation

Big data can also be integrated into government policies to ensure better environmental regulation. Governments can now implement the latest sensor technology and adopt real-time reporting of environmental quality data. This data can be used monitor the emissions of large utility facilities and if required put some regulatory framework in place to regularize the emissions. The firms are given complete freedom to experiment and chose the best possible mean of achieving the required result….(More)”

Quantifying scenic areas using crowdsourced data

Curated on Posted on by Stefaan Verhulst

Chanuki Illushka Seresinhe, Helen Susannah Moat and Tobias Preis in Environment and Planning B: Urban Analytics and City Science: “For centuries, philosophers, policy-makers and urban planners have debated whether aesthetically pleasing surroundings can improve our wellbeing. To date, quantifying how scenic an area is has proved challenging, due to the difficulty of gathering large-scale measurements of scenicness. In this study we ask whether images uploaded to the website Flickr, combined with crowdsourced geographic data from OpenStreetMap, can help us estimate how scenic people consider an area to be. We validate our findings using crowdsourced data from Scenic-Or-Not, a website where users rate the scenicness of photos from all around Great Britain. We find that models including crowdsourced data from Flickr and OpenStreetMap can generate more accurate estimates of scenicness than models that consider only basic census measurements such as population density or whether an area is urban or rural. Our results provide evidence that by exploiting the vast quantity of data generated on the Internet, scientists and policy-makers may be able to develop a better understanding of people’s subjective experience of the environment in which they live….(More)”

Forged Through Fire

Curated on Posted on by Stefaan Verhulst

Book by John Ferejohn and Frances McCall Rosenbluth: “Peace, many would agree, is a goal that democratic nations should strive to achieve. But is democracy, in fact, dependent on war to survive?

Having spent their celebrated careers exploring this provocative question, John Ferejohn and Frances McCall Rosenbluth trace the surprising ways in which governments have mobilized armies since antiquity, discovering that our modern form of democracy not only evolved in a brutally competitive environment but also quickly disintegrated when the powerful elite no longer needed their citizenry to defend against existential threats.?

Bringing to vivid life the major battles that shaped our current political landscape, the authors begin with the fierce warrior states of Athens and the Roman Republic. While these experiments in “mixed government” would serve as a basis for the bargain between politics and protection at the heart of modern democracy, Ferejohn and Rosenbluth brilliantly chronicle the generations of bloodshed that it would take for the world’s dominant states to hand over power to the people. In fact, for over a thousand years, even as medieval empires gave way to feudal Europe, the king still ruled. Not even the advancements of gunpowder—which decisively tipped the balance away from the cavalry-dominated militaries and in favor of mass armies—could threaten the reign of monarchs and “landed elites” of yore.?

The incredibly wealthy, however, were not well equipped to handle the massive labor classes produced by industrialization. As we learn, the Napoleonic Wars stoked genuine, bottom-up nationalism and pulled splintered societies back together as “commoners” stepped up to fight for their freedom. Soon after, Hitler and Stalin perfectly illustrated the military limitations of dictatorships, a style of governance that might be effective for mobilizing an army but not for winning a world war. This was a lesson quickly heeded by the American military, who would begin to reinforce their ranks with minorities in exchange for greater civil liberties at home.?

Like Francis Fukuyama and Jared Diamond’s most acclaimed works, Forged Through Fire concludes in the modern world, where the “tug of war” between the powerful and the powerless continues to play out in profound ways. Indeed, in the covert battlefields of today, drones have begun to erode the need for manpower, giving politicians even less incentive than before to listen to the demands of their constituency. With American democracy’s flanks now exposed, this urgent examination explores the conditions under which war has promoted one of the most cherished human inventions: a government of the people, by the people, for the people. The result promises to become one of the most important history books to emerge in our time….(More)”

Urban Exposures: How Cell Phone Data Helps Us Better Understand Human Exposure To Air Pollution

Curated on Posted on by Stefaan Verhulst

Senseable City Lab: “Global urbanization has led to one of the world’s most pressing environmental health concerns: the increasing number of people contributing to and being affected by air pollution, leading to 7 million early deaths each year. The key issue is human exposure to pollution within cities and the consequential effects on human health.

With new research conducted at MIT’s Senseable City Lab, human exposure to air pollution can now be accurately quantified at an unprecedented scale. Researchers mapped the movements of several million people using ubiquitous cell phone data, and intersected this information with neighborhood air pollution measures. Covering the expanse of New York City and its 8.5 million inhabitants, the study reveals where and when New Yorkers are most at risk of exposure to air pollution – with major implications for environment and public health policy… (More)”

The Hackable City: Citymaking in a Platform Society Authors

Curated on Posted on by Stefaan Verhulst

Martijn de Waal, Michiel de Lange, and Matthijs Bouw in Special Issue on 4D Hyperlocal: A Cultural Toolkit for the Open-Source City of Architectural Design: ” Can computer hacking have positive parallels in the shaping of the built environment? The Hackable City research project was set up with this question in mind, to investigate the potential of digital platforms to open up the citymaking process. Its cofounders Martijn de Waal, Michiel de Lange and Matthijs Bouw here outline the tendencies that their studies of collaborative urban development initiatives around the world have revealed, and ask whether knowledge sharing and incremental change might be a better way forward than top-down masterplans….(More)”

The Signal Code

Curated on Posted on by Stefaan Verhulst

The Signal Code: “Humanitarian action adheres to the core humanitarian principles of impartiality, neutrality, independence, and humanity, as well as respect for international humanitarian and human rights law. These foundational principles are enshrined within core humanitarian doctrine, particularly the Red Cross/NGO Code of Conduct5 and the Humanitarian Charter.6 Together, these principles establish a duty of care for populations affected by the actions of humanitarian actors and impose adherence to a standard of reasonable care for those engaged in humanitarian action.

Engagement in HIAs, including the use of data and ICTs, must be consistent with these foundational principles and respect the human rights of crisis-affected people to be considered “humanitarian.” In addition to offering potential benefits to those affected by crisis, HIAs, including the use of ICTs, can cause harm to the safety, wellbeing, and the realization of the human rights of crisis-affected people. Absent a clear understanding of which rights apply to this context, the utilization of new technologies, and in particular experimental applications of these technologies, may be more likely to harm communities and violate the fundamental human rights of individuals.

The Signal Code is based on the application of the UDHR, the Nuremberg Code, the Geneva Convention, and other instruments of customary international law related to HIAs and the use of ICTs by crisis affected-populations and by humanitarians on their behalf. The fundamental human rights undergirding this Code are the rights to life, liberty, and security; the protection of privacy; freedom of expression; and the right to share in scientific advancement and its benefits as expressed in Articles 3, 12, 19, and 27 of the UDHR.7

The Signal Code asserts that all people have fundamental rights to access, transmit, and benefit from information as a basic humanitarian need; to be protected from harms that may result from the provision of information during crisis; to have a reasonable expectation of privacy and data security; to have agency over how their data is collected and used; and to seek redress and rectification when data pertaining to them causes harm or is inaccurate.

These rights are found to apply specifically to the access, collection, generation, processing, use, treatment, and transmission of information, including data, during humanitarian crises. These rights are also found herein to be interrelated and interdependent. To realize any of these rights individually requires realization of all of these rights in concert.

These rights are found to apply to all phases of the data lifecycle—before, during, and after the collection, processing, transmission, storage, or release of data. These rights are also found to be elastic, meaning that they apply to new technologies and scenarios that have not yet been identified or encountered by current practice and theory.

Data is, formally, a collection of symbols which function as a representation of information or knowledge. The term raw data is often used with two different meanings, the first being uncleaned data, that is, data that has been collected in an uncontrolled environment, and unprocessed data, which is collected data that has not been processed in such a way as to make it suitable for decision making. Colloquially, and in the humanitarian context, data is usually thought of solely in the machine readable or digital sense. For the purposes of the Signal Code, we use the term data to encompass information both in its analog and digital representations. Where it is necessary to address data solely in its digital representation, we refer to it as digital data.

No right herein may be used to abridge any other right. Nothing in this code may be interpreted as giving any state, group, or person the right to engage in any activity or perform any act that destroys the rights described herein.

The five human rights that exist specific to information and HIAs during humanitarian crises are the following:

The Right to Information
The Right to Protection
The Right to Data Security and Privacy
The Right to Data Agency
The Right to Redress and Rectification…(More)”

Technology tools in human rights

Curated on Posted on by Stefaan Verhulst

Engine Room: “Over the past few years, we have been witnessing a wave of new technology tools for human rights documentation. Along with the arrival of the new tools, human rights defenders are facing  new tools, new possibilities, new challenges, and new expectations of human rights documentation initiatives.

Produced with support from the Oak Foundation, this report is designed as a first attempt to detail available technologies that are designed for human rights documentation, understand the various perspectives on the challenges human rights documentation initiatives face when adopting new tools and practices, and analyse what is working and what is not for human rights documentation initiatives seeking to integrate new tools in their work….

Primary takeaways:

  • Traditional methods still apply: The environment in which HRDs are working has not dramatically inherently changed due to technology and data.
  • Unreliability and unknown risks provide huge barriers to engagement with technology: In high-pressured situations such as that of HRDs, methodologies used need to be concrete and reliable.
  • Priorities of HRDs centre around their particular issue: Digital technologies often come as an afterthought, rather than integrated into established strategies for communication or campaigning.
  • The lifespan of technology tools is a big barrier to longterm use: Sustainability of tools and maintenance is a big barrier to engaging with them and can cause fatigue among users having to change their practices often.
  • Past failed attempts at using tools makes future attempts more difficult: After having invested time and energy into changing a workflow or process only for it not to work, people are often reluctant to do the same again.
  • HRDs understand their context best: Tools recommendations coming from external parties sometimes do more harm than good.
  • There is a lack of technical capacity within HRD initiatives: As a result, when tools are introduced, groups become reliant on external parties for technical troubleshooting and support.

(Download the report)

 

Open or Closed? Open Licensing of Real-Time Public Sector Transit Data

Curated on Posted on by Stefaan Verhulst

Teresa Scassa and Alexandra Diebel in Journal of e-Democracy: “This paper explores how real-time data are made available as “open data” using municipal transit data as a case study. Many transit authorities in North America and elsewhere have installed technology to gather GPS data in real-time from transit vehicles. These data are in high demand in app developer communities because of their use in communicating predicted, rather than scheduled, transit vehicle arrival times. While many municipalities have chosen to treat real-time GPS data as “open data,” the particular nature of real-time GPS data requires a different mode of access for developers than what is needed for static data files. This, in turn, has created a conflict between the “openness” of the underlying data and the sometimes restrictive terms of use which govern access to the real-time data through transit authority Application Program Interfaces (APIs). This paper explores the implications of these terms of use and considers whether real-time data require a separate standard for openness. While the focus is on the transit data context, the lessons from this area will have broader implications, particularly for open real-time data in the emerging smart cities environment….(More)”

Why We Misjudge the Nudge

Curated on Posted on by Stefaan Verhulst

Paper by Adam Hill: “Critics frequently argue that nudges are more covert, less transparent, and more difficult to monitor than traditional regulatory tools. Edward Glaeser, for example, argues that “[p]ublic monitoring of soft paternalism is much more difficult than public monitoring of hard paternalism.” As one of the leading proponents of soft paternalism, Cass Sunstein, acknowledges, while “[m]andates and commands are highly visible,” soft paternalism, “and some nudges in particular[,] may be invisible.” In response to this challenge, proponents of nudging argue that invisibility for any given individual in a particular choice environment is compatible with “careful public scrutiny” of the nudge. This paper offers first of its kind experimental evidence that tests whether nudges are, in fact, compatible with careful public scrutiny. Using two sets of experiments, the paper argues that, even when made visible, nudges attract less scrutiny than their “hard law” counterparts….(More)”

Rethinking how we collect, share, and use development results data

Curated on Posted on by Stefaan Verhulst

Development Gateway: “The international development community spends a great deal of time, effort, and money gathering data on thousands of indicators embedded in various levels of Results Frameworks. These data comprise outputs (school enrollment, immunization figures), program outcomes (educational attainment, disease prevalence), and, in some cases, impacts (changes in key outcomes over time).

Ostensibly, we use results data to allocate resources to the places, partners, and programs most likely to achieve lasting success. But is this data good enough – and is it used well enough – to genuinely increase development impact in priority areas?

Experience suggests that decision-makers at all levels may often face inadequate, incorrect, late, or incomplete results data. At the same time, a figurative “Tower of Babel” of both project-level M&E and program-level outcome data can make it difficult for agencies and organizations to share and use data effectively. Further, potential users may not have the skills, resources, or enabling environment to meaningfully analyze and apply results data to decisions. With these challenges in mind, the development community needs to re-think its investments in results data, making sure that the right users are able to collect, share, and use this information to maximum effect.

Our Initiative

To this end, Development Gateway (DG), with the support of the Bill & Melinda Gates Foundation, aims to “diagnose” the results data ecosystem in three countries, identifying ways to improve data quality, sharing, and use in the health and agriculture sectors. Some of our important questions include:

  • Quality: Who collects data and how? Is data quality adequate? Does the data meet actual needs? How much time does data collection demand? How can data collection, quality, and reporting be improved?
  • Sharing: How can we compare results data from different donors, governments, and implementers? Is there demand for comparability? Should data be shared more freely? If so, how?
  • Use: How is results data analyzed and used to inform actual policies and plans? Does (or can) access to results data improve decision-making? Do the right people have the right data? How else can (or should) we promote data use?…(More)”