Paper by Clodagh Harris: “The effects of climate change are multiple and fundamental. Decisions made today may result in irreversible damage to the planet’s biodiversity and ecosystems, the detrimental impacts of which will be borne by today’s children, young people and those yet unborn (future generations). The use of citizens’ assemblies (CAs) to tackle the issue of climate change is growing. Their remit is future focused. Yet is the future in the room? Focusing on a single case study, the recent Irish CA and Joint Oireachtas Committee on Climate Action (JOCCA) deliberations on climate action, this paper explores the extent to which children, young people and future generations were included. Its systemic analysis of the membership of both institutions, the public submissions to them and the invited expertise presented, finds that the Irish CA was ‘too tightly coupled’ on this issue. This may have been beneficial in terms of impact, but it came at the expense of input legitimacy and potentially intergenerational justice. Referring to international developments, it suggests how these groups may be included through enclave deliberation, institutional innovations, design experiments and future-oriented practice…(More)”
In Need of Speed: Data can Accelerate Progress Towards Water and Sanitation for All
Article by Joakim Harlin et al: Even before COVID-19, the world was off-track to meet Sustainable Development Goal (SDG) 6 – ensuring water and sanitation for all by 2030.
The latest data, which is provided in seven SDG indicators reports published today by the UN-Water Integrated Monitoring Initiative for SDG 6 (IMI-SDG6), show us that 2 billion people worldwide still live without safely managed drinking water and 3.6 billion without safely managed sanitation. In addition, 2.3 billion people lack a basic handwashing facility with soap and water at home. Most wastewater is returned to nature untreated. One in five of the world’s river basins are experiencing rapid changes, such as flooding or drought with increased frequency and intensity, and 80% of wetland ecosystems are already lost….
We can only sustainably manage what we measure, and right now, there are too many gaps in the data, despite unprecedented, heroic levels of reporting during the chaos of the pandemic.
Last year, the IMI-SDG6 combined the efforts of WHO, UNICEF, UN-Habitat, UNEP, FAO, UNECE and UNESCO (as custodian agencies of the various SDG 6 global indicators) to reach out to countries with requests for data: this was our ‘2020 Data Drive.’
COVID-19 caused extreme difficulties for the SDG 6 national focal points in every country, with people forced to work from home with little equipment, few in-person consultations, and many data collection activities cancelled. Under the circumstances, the focal points made a remarkable effort. On average, UN Member States now have data on 8.2 out of 12 indicators (up from 7.0 in 2019), and the number reporting on nine or more indicators increased from 37 in 2019 to 92.
Despite this significant progress, large data gaps remain for some indicators, typically those that rely on in situ monitoring networks, such as water quality and aquifers. For example, many countries base their ambient water quality reporting on relatively few measurements; the poorest 20 countries reported on only 1,000 water bodies in total, whereas the richest 24 reported on nearly 60,000. Addressing these issues is a long-term, capital-intensive effort.
Our country monitoring focal points know better than anyone about the benefits and costs of robust water and sanitation monitoring systems, and the urgent need to establish them. We encourage high-level officials in national ministries to listen to what the focal points have to say. And, as we continue our capacity-building activities in countries, we also call on development partners to support this work. We call on academia, the private sector, and civil society to contribute to the joint effort by bringing their water and sanitation datasets to the table. …(More)”
Big Data in Biodiversity Science: A Framework for Engagement
Paper by Tendai Musvuugwa, Muxe Gladmond Dlomu and Adekunle Adebowale: “Despite best efforts, the loss of biodiversity has continued at a pace that constitutes a major threat to the efficient functioning of ecosystems. Curbing the loss of biodiversity and assessing its local and global trends requires a vast amount of datasets from a variety of sources. Although the means for generating, aggregating and analyzing big datasets to inform policies are now within the reach of the scientific community, the data-driven nature of a complex multidisciplinary field such as biodiversity science necessitates an overarching framework for engagement. In this review, we propose such a schematic based on the life cycle of data to interrogate the science. The framework considers data generation and collection, storage and curation, access and analysis and, finally, communication as distinct yet interdependent themes for engaging biodiversity science for the purpose of making evidenced-based decisions. We summarize historical developments in each theme, including the challenges and prospects, and offer some recommendations based on best practices….(More)”.
Mapping Africa’s Buildings with Satellite Imagery
Google AI Blog: “An accurate record of building footprints is important for a range of applications, from population estimation and urban planning to humanitarian response and environmental science. After a disaster, such as a flood or an earthquake, authorities need to estimate how many households have been affected. Ideally there would be up-to-date census information for this, but in practice such records may be out of date or unavailable. Instead, data on the locations and density of buildings can be a valuable alternative source of information.
A good way to collect such data is through satellite imagery, which can map the distribution of buildings across the world, particularly in areas that are isolated or difficult to access. However, detecting buildings with computer vision methods in some environments can be a challenging task. Because satellite imaging involves photographing the earth from several hundred kilometres above the ground, even at high resolution (30–50 cm per pixel), a small building or tent shelter occupies only a few pixels. The task is even more difficult for informal settlements, or rural areas where buildings constructed with natural materials can visually blend into the surroundings. There are also many types of natural and artificial features that can be easily confused with buildings in overhead imagery.
In “Continental-Scale Building Detection from High-Resolution Satellite Imagery”, we address these challenges, using new methods for detecting buildings that work in rural and urban settings across different terrains, such as savannah, desert, and forest, as well as informal settlements and refugee facilities. We use this building detection model to create the Open Buildings dataset, a new open-access data resource containing the locations and footprints of 516 million buildings with coverage across most of the African continent. The dataset will support several practical, scientific and humanitarian applications, ranging from disaster response or population mapping to planning services such as new medical facilities or studying human impact on the natural environment….(More)”.
Crowdsourced Sensor Data Powers Smoke Map
OpenGov: “The Environmental Protection Agency and the U.S. Forest Service (USFS) have released updates to the AirNow Fire and Smoke Map to help protect communities from the effects of wildfire smoke. Started as a pilot project last year, the map pulls data from three sources: temporary monitors such as those the Forest Service and other agencies have deployed near fires; crowdsourced data from nearly 10,000 low-cost sensors nationwide that measure fine particle pollution, the major harmful pollutant in smoke; and monitors that regularly report to AirNow, EPA’s one-stop source for air quality data.
The agencies announced improvements to the map, including a dashboard that gives users quick access to information that can help them plan their outdoor activities, the current Air Quality Index (AQI) category at the monitor or sensor location, data showing whether air quality is improving or worsening, and information about actions to consider taking based on the AQI.
EPA and USFS developed the map-pilot to provide information on fire locations, smoke plumes and air quality in one place. It had more than 7.4 million views in its first three months. The map imports data from almost 10,000 sensors from an air quality sensor network that crowdsources data on particle pollution, providing real-time measurement of air quality on a public map. This was a logical addition to two other projects already underway.
The extra data points the sensors provided proved useful in characterising air quality during the 2020 fire season, and we had positive reception from state, local and tribal air agency partners, and from the public. The map is intended for individuals to use in making decisions about outdoor activities based on air quality, but the unique fire, smoke and concentration data can help increase awareness of the significant impacts of wildfires across all levels of government — federal, state, local and tribal — and provide a valuable tool to assist agencies as they work to protect public health from wildfire smoke during these emergencies….(More)”.
Have behavioral sciences delivered on their promise to influence environmental policy and conservation practice?
Paper by Maria Alejandra Velez and Lina Moros: “After four decades of refining our understanding of decision-making processes, a form of consensus has developed around the crucial role that behavioral science can play in changing non-cooperative decisions and promoting pro-environmental behaviors. However, has behavioral science delivered on its promise to influence environmental policy and conservation practice? We discuss key lessons coming from studies into the dual process theory of thinking and the presence of cognitive biases, social norms and intrinsic motivations. We then discuss the empirical findings by reviewing relevant research published over the past five years, and identify emerging lessons. Recent studies focus on providing feedback, manipulating framing, using green nudges, or activating social norms on urban contexts, mainly energy and water. Interventions are needed in the context of common pool resources in the global south. We end by discussing the great potential for scaling-up programs and interventions, but there are still challenges for research and practice….(More)”
Fighting Climate Change: The Role of Norms, Preferences, and Moral Values
Paper by Armin Falk: “We document individual willingness to fight climate change and its behavioral determinants in a large representative sample of US adults. Willingness to fight climate change – as measured through an incentivized donation decision – is highly heterogeneous across the population. Individual beliefs about social norms, economic preferences such as patience and altruism, as well as universal moral values positively predict climate preferences. Moreover, we document systematic misperceptions of prevalent social norms. Respondents vastly underestimate the prevalence of climate- friendly behaviors and norms among their fellow citizens. Providing respondents with correct information causally raises individual willingness to fight climate change as well as individual support for climate policies. The effects are strongest for individuals who are skeptical about the existence and threat of global warming…(More)”.
Realtime Climate
Climate Central …:”launched this tool to help meteorologists and journalists cover connections between weather, news, and climate in real time, and to alert public and private organizations and individuals about particular local conditions related to climate change, its impacts, or its solutions.
Realtime Climate monitors local weather and events across the U.S. and generates alerts when certain conditions are met or expected. These alerts provide links to science-based analyses and visualizations—including locality-specific, high-quality graphics—that can help explain events in the context of climate change….
Alerts are sent when particular conditions occur or are forecast to occur in the next few days. Examples include:
- Unusual heat (single day and multi-day)
- Heat Index
- Unusual Rainfall
- Coastal Flooding
- Air Quality
- Allergies
- Seasonal shifts (spring leaf-out, etc.)
- Ice/snow cover (Great Lakes)
- Cicadas
- High local or regional production of solar or wind energy
More conditions will be added soon, including:
- Drought
- Wildfire
- and many more…(More)”.
How volunteer observers can help protect biodiversity
The Economist: “Ecology lends itself to being helped along by the keen layperson perhaps more than any other science. For decades, birdwatchers have recorded their sightings and sent them to organisations like Britain’s Royal Society for the Protection of Birds, or the Audubon society in America, contributing precious data about population size, trends, behaviour and migration. These days, any smartphone connected to the internet can be pointed at a plant to identify a species and add a record to a regional data set.
Social-media platforms have further transformed things, adding big data to weekend ecology. In 2002, the Cornell Lab of Ornithology in New York created eBird, a free app available in more than 30 languages that lets twitchers upload and share pictures and recordings of birds, labelled by time, location and other criteria. More than 100m sightings are now uploaded annually, and the number is growing by 20% each year. In May the group marked its billionth observation. The Cornell group also runs an audio library with 1m bird calls, and the Merlin app, which uses eBird data to identify species from pictures and descriptions….(More)”.
Help us identify how data can make food healthier for us and the environment
The GovLab: “To make food production, distribution, and consumption healthier for people, animals, and the environment, we need to redesign today’s food systems. Data and data science can help us develop sustainable solutions — but only if we manage to define those questions that matter.
Globally, we are witnessing the damage that unsustainable farming practices have caused on the environment. At the same time, climate change is making our food systems more fragile, while the global population continues to rapidly increase. To feed everyone, we need to become more sustainable in our approach to producing, consuming, and disposing of food.
Policymakers and stakeholders need to work together to reimagine food systems and collectively make them more resilient, healthy, and inclusive.
Data will be integral to understanding where failures and vulnerabilities exist and what methods are needed to rectify them. Yet, the insights generated from data are only as good as the questions they seek to answer. To become smarter about current and future food systems using data, we need to ask the right questions first.
That’s where The 100 Questions Initiative comes in. It starts from the premise that to leverage data in a responsible and effective manner, data initiatives should be driven by demand, not supply. Working with a global cohort of experts, The 100 Questions seeks to map the most pressing and potentially impactful questions that data and data science can answer.
Today the Barilla Foundation, the Center for European Policy Studies, and The Governance Lab at NYU Tandon School of Engineering, are announcing the launch of the Food Systems Sustainability domain of The 100 Questions. We seek to identify the 10 most important questions that need to be answered to make food systems more sustainable…(More)”.