The Tragedy of Climate Change


Essay by Bryan Doerries: “How terrible it is to know when, in the end, knowing gains you nothing,” laments the blind prophet Tiresias in Sophocles’ Oedipus the King. Oedipus had summoned him to reveal the source of the pestilence and ecological disaster ravaging Thebes. But Tiresias knew that the king would reject the truth. Today’s climate scientists and epidemiologists can relate.

Like Tiresias, modern-day scientists know where the planet is headed and why. They found out not through prophecies, but through countless double-blind experiments, randomized trials, and rigorous peer review. Their evidence is unimpeachable, and the consensus among them is overwhelming. But their secular augury cannot seem to overcome the willful indifference of politicians or the public. Knowing gains them nothing, because so few are listening.

If there is a way for scientists to get through to people and their leaders, the key will be to change not what they say, but how they say it. The language of science is dispassionate by design. By contrast, the manifold crises our planet faces are urgent and intense, and the individual and collective decisions that are fueling those crises have high emotional and ethical stakes. A virulent pandemic has taken the lives of three million people. The Earth is in the throes of a sixth mass extinction. And the problems are set to escalate.

We need a language to convey the gravity and complexity of the global tragedy that is unfolding, and the ancient Greeks supply it. Their tragedies are stories of people learning too late (usually by milliseconds). Their characters doggedly pursue what they believe to be right, barely comprehending the forces they face – chance, fate, habits, governments, gods, the weather. By the time they do, the characters have unwittingly made an irreversible – and devastating – mistake.

For centuries, Greek tragedies have been viewed as pessimistic expressions of a fatalistic society, which depict the futility of fighting destiny. But, for the Greeks, the effect of these stories may have been counterintuitive. By showing people just how narrow and fleeting their power to determine their own future was, the tragedies discouraged apathy. Highlighting how devastating self-delusion can be encouraged awareness. And providing the language for describing difficult experiences enhanced agency….(More)”

Open data for improved land governance


Guide by the Land Portal: “This Open Up Guide on Land Governance is a resource  aimed to be used by governments from developing countries to collect and release land-related data to improve data quality, availability, accessibility and use for improved citizen engagement, decision making and innovation. It sets out:

  1. Key datasets for land management accountability, and how they should be collected, stored, shared and published for improving land governance and transparency;
  2. Good data policies and frameworks, including metadata, standards and governance frameworks if available;
  3. Existing gaps or challenges in the policies and frameworks; and
  4. Use cases from real-life examples to illustrate the potential impact and transformation this type of data can provide in local contexts.

The Open Up Guide has been prepared for use by national and local government agencies with a mandate for or an interest in making their land governance data open and available for others to re-use. Land governance data generally comprises the data and information that agencies collect as they carry out their core land administration functions of land tenure, use, development and value. Some countries already collect and manage their land governance data in open and re-usable formats. Others may be seeking advice on how to start, how to expand their activities or how to test what they do against best practice.

Open land governance data, published in accordance with a government’s law and regulations, provides efficient and transparent government services and enables individuals, communities and businesses to run their lives ethically and with integrity.

The Guide is also intended to assist communities monitoring whether environmental protections are being upheld, and to support rights claims over geographical areas inhabited for generations; and for civil society organisations that can make use of land governance data to understand patterns of land deals, support environmental and social advocacy, and investigate and address corruption….(More)”.

To Map Billions of Cicadas, It Takes Thousands of Citizen Scientists


Article by Linda Poon and Marie Patino: “At the end of May, Dan Mozgai will spend his vacation from his day job chasing cicadas. The bugs won’t be hard to find; in about a week, billions of the beady-eyed crawlers from Brood X will start coming up from their 17-year-long underground, blanketing parts of 15 states in the Northeast, Mid-Atlantic and Midwest with their cacophony of shrill mating calls. 

Mozgai isn’t an entomologist — he does online marketing for DirecTV. But since2007, he’s worked closely with academic researchers to track various broods of periodical cicadas,as part of one of the oldest citizen science efforts in the U.S. 

He’ll be joined by ten of thousands of other volunteers across the Brood X territory who will use the mobile app Cicada Safari, where userscan add geotagged photos and videos onto a live map, as dozens of student researchers behind the scenes verify each submission. Videos will be especially helpful this year, as it provides audio data for the researchers, says Gene Kritsky, an entomologist at Mount St. Joseph University in Cincinnati, and the creator behind Cicada Safari. He’s been testing the new app with smaller broods for two years in anticipation for this moment. https://0b26ee1773bac5736a29111147e28a6b.safeframe.googlesyndication.com/safeframe/1-0-38/html/container.html

Brood X,  is one of the largest, and mostly broadly distributed geographically, of periodical cicadas, which emerge every 13 or 17 years. They’ll stick around for just a few weeks, through June, to mate and lay eggs.

“With the smartphone technology and the GPS location services, it was just a perfect way to do citizen science,” Kritsky says. Some 87,000 people have signed up as of the beginning of May, and they’ve already documented several early risers, especially around Cincinnati and Washington, D.C. — two of the expected hotspot…(More)”.

Citizen Science Is Helping Tackle Stinky Cities


Article by Lucrezia Lozza: “Marta has lived with a bad smell lingering in her hometown in central Spain, Villanueva del Pardillo, for a long time. Fed up, in 2017 she and her neighbors decided to pursue the issue. “The smell is disgusting,” Marta says, pointing a finger at a local yeast factory.

Originally, she thought of recording the “bad smell days” on a spreadsheet. When this didn’t work out, after some research she found Odour Collect, a crowdsourced map that allows users to enter a geolocalized timestamp of bad smells in their neighborhood.

After noise, odor nuisances are the second cause of environmental complaints. Odor regulations vary among countries and there’s little legislation about how to manage smells. For instance, in Spain some municipalities regulate odors, but others do not. In the United States, the Environmental Protection Agency does not regulate odor as a pollutant, so states and local jurisdictions are in charge of the issue.

Only after Marta started using Odour Collect to record the unpleasant smells in her town did she discover that the map was part of ‘D-NOSES’, a European project aimed at bringing citizens, industries and local authorities together to monitor and minimize odor nuisances. D-NOSES relies heavily on citizen science: Affected communities gather odor observations through two maps — Odour Collect and Community Maps — with the goal of implementing new policies in their area. D-NOSES launched several pilots in Europe — in Spain, Greece, Bulgaria, and Portugal — and two outside the continent in Uganda and in Chile.

“Citizen science promotes transparency between all the actors,” said Nora Salas Seoane, Social Sciences Researcher at Fundación Ibercivis, one of the partners of D-NOSES…(More)”.

Citizen assembly takes on Germany’s climate pledges


Martin Kuebler at Deutsche Welle: “A group of 160 German citizens chosen at random from across the country will launch an experiment in participatory democracy this week, aiming to inspire public debate and get the government to follow through with its pledge to reach net-zero CO2 emissions by 2050.

The Bürgerrat Klima, or Citizen Assembly, will follow the example set in the last few years by countries like Ireland, the United Kingdom and France. The concept, intended to directly involve citizens in the climate decisions that will shape their lives in the coming decades, is seen as a way for people to push for stronger climate policies and political action — though the previous experiments abroad have met with varying degrees of success.

Inspired by a 99-person Citizens’ Assembly, the Irish government adopted a series of reforms in its 2019 climate bill aimed at reducing carbon dioxide emissions by 51% before the end of this decade. These included recommendations “to ensure climate change is at the centre of policy-making,” and covered everything from clean tech and power generation to electric vehicles and plans to retrofit older buildings.

But in France, where 150 participants submitted bold proposals that included a ban on domestic flights and making ecocide a crime, lawmakers have been less enthusiastic about taking the measures on board. A new climate and resilience bill, which aims to cut France’s CO2 emissions by 40% over the next decade and is due to be adopted later this year, has incorporated less than half of the group’s ideas. Greenpeace has said the proposed bill would have been “ambitious 15 or 20 years ago.”…(More)”.

How we mapped billions of trees in West Africa using satellites, supercomputers and AI


Martin Brandt and Kjeld Rasmussen in The Conversation: “The possibility that vegetation cover in semi-arid and arid areas was retreating has long been an issue of international concern. In the 1930s it was first theorized that the Sahara was expanding and woody vegetation was on the retreat. In the 1970s, spurred by the “Sahel drought”, focus was on the threat of “desertification”, caused by human overuse and/or climate change. In recent decades, the potential impact of climate change on the vegetation has been the main concern, along with the feedback of vegetation on the climate, associated with the role of the vegetation in the global carbon cycle.

Using high-resolution satellite data and machine-learning techniques at supercomputing facilities, we have now been able to map billions of individual trees and shrubs in West Africa. The goal is to better understand the real state of vegetation coverage and evolution in arid and semi-arid areas.

Finding a shrub in the desert – from space

Since the 1970s, satellite data have been used extensively to map and monitor vegetation in semi-arid areas worldwide. Images are available in “high” spatial resolution (with NASA’s satellites Landsat MSS and TM, and ESA’s satellites Spot and Sentinel) and “medium or low” spatial resolution (NOAA AVHRR and MODIS).

To accurately analyse vegetation cover at continental or global scale, it is necessary to use the highest-resolution images available – with a resolution of 1 metre or less – and up until now the costs of acquiring and analysing the data have been prohibitive. Consequently, most studies have relied on moderate- to low-resolution data. This has not allowed for the identification of individual trees, and therefore these studies only yield aggregate estimates of vegetation cover and productivity, mixing herbaceous and woody vegetation.

In a new study covering a large part of the semi-arid Sahara-Sahel-Sudanian zone of West Africa, published in Nature in October 2020, an international group of researchers was able to overcome these limitations. By combining an immense amount of high-resolution satellite data, advanced computing capacities, machine-learning techniques and extensive field data gathered over decades, we were able to identify individual trees and shrubs with a crown area of more than 3 m2 with great accuracy. The result is a database of 1.8 billion trees in the region studied, available to all interested….(More)”

Supercomputing, machine learning, satellite data and field assessments allow to map billions of individual trees in West Africa. Martin Brandt, Author provided

Using Data and Citizen Science for Gardening Success


Article by Elizabeth Waddington: “…Data can help you personally by providing information you can use. And it also allows you to play a wider role in boosting understanding of our planet and tackling the global crises we face in a collaborative way. Consider the following examples.

Grow Observatory

This is one great example of data gathering and citizen science. Grow Observatory is a European citizen’s observatory through which people work together to take action on climate change, build better soil, grow healthier food and corroborate data from the new generation of Copernicus satellites.

Twenty-four Grow communities in 13 European countries created a network of over 6,500 ground-based soil sensors and collected a lot of soil-related data. And many insights have helped people learn about and test regenerative food growing techniques.

On their website, you can explore sensor locations, or make use of dynamic soil moisture maps. With the Grow Observatory app, you can get crop and planting advice tailored to your location, and get detailed, science-based information about regenerative growing practices. Their water planner also allows small-scale growers to learn more about how much water their plants will need in their location over the coming months if they live in one of the areas which currently have available data…

Cooperative Citizen Science: iNaturalist, Bioblitzes, Bird Counts, and More

Wherever you live, there are many different ways to get involved and help build data. From submitting observations on wildlife in your garden through apps like iNaturalist to taking part in local Bioblitzes, bird counts, and more – there are plenty of ways we can collect data that will help us – and others – down the road.

Collecting data through our observations, and, crucially, sharing that data with others can help us create the future we all want to see. We, as individuals, can often feel powerless. But citizen science projects help us to see the collective power we can wield when we work together. Modern technology means we can be hyper-connected, and affect wider systems, even when we are alone in our own gardens….(More)”

Establishment of Sustainable Data Ecosystems


Report and Recommendations for the evolution of spatial data infrastructures by S. Martin, Gautier, P., Turki, and S., Kotsev: “The purpose of this study is to identify and analyse a set of successful data ecosystems and to address recommendations that can act as catalysts of data-driven innovation in line with the recently published European data strategy. The work presented here tries to identify to the largest extent possible actionable items.

Specifically, the study contributes with insights into the approaches that would help in the evolution of existing spatial data infrastructures (SDI), which are usually governed by the public sector and driven by data providers, to self-sustainable data ecosystems where different actors (including providers, users, intermediaries.) contribute and gain social and economic value in accordance with their specific objectives and incentives.

The overall approach described in this document is based on the identification and documentation of a set of case studies of existing data ecosystems and use cases for developing applications based on data coming from two or more data ecosystems, based on existing operational or experimental applications. Following a literature review on data ecosystem thinking and modelling, a framework consisting of three parts (Annex I) was designed. An ecosystem summary is drawn, giving an overall representation of the ecosystem key aspects. Two additional parts are detailed. One dedicated to ecosystem value dynamic illustrating how the ecosystem is structured through the resources exchanged between stakeholders, and the associated value.

Consequently, the ecosystem data flows represent the ecosystem from a complementary and more technical perspective, representing the flows and the data cycles associated to a given scenario. These two parts provide good proxies to evaluate the health and the maturity of a data ecosystem…(More)”.

2030 Compass CoLab


About: “2030 Compass CoLab invites a group of experts, using an online platform, to contribute their perspectives on potential interactions between the goals in the UN’s 2030 Agenda for Sustainable Development.

By combining the insight of participants who posses broad and diverse knowledge, we hope to develop a richer understanding of how the Sustainable Development Goals (SDGs) may be complementary or conflicting.

Compass 2030 CoLab is part of a larger project, The Agenda 2030 Compass Methodology and toolbox for strategic decision making, funded by Vinnova, Sweden’s government agency for innovation.

Other elements of the larger project include:

  • Deliberations by a panel of experts who will convene in a series of live meetings to undertake in-depth analysis on interactions between the goals. 
  • Quanitative analysis of SDG indicators time series data, which will examine historical correlations between progress on the SDGs.
  • Development of a knowledge repository, residing in a new software tool under development as part of the project. This tool will be made available as a resource to guide the decisions of corporate executives, policy makers, and leaders of NGOs.

The overall project was inspired by the work of researchers at the Stockholm Environment Institute, described in Towards systemic and contextual priority setting for implementing the 2030 Agenda, a 2018 paper in Sustainability Science by Nina Weitz, Henrik Carlsen, Måns Nilsson, and Kristian Skånberg….(More)”.

As Jakarta floods again, humanitarian chatbots on social media support community-led disaster response


Blog by Petabencana: “On February 20th, #banjir and #JakartaBanjir were the highest trending topics on Twitter Indonesia, as the capital city was inundated for the third major time this year, following particularly heavy rainfall from Friday night (19/2/2021) to Saturday morning (20/02/2021). As Jakarta residents turned to social media to share updates about the flood, they were greeted by “Disaster Bot” – a novel AI-assisted chatbot that monitors social media for posts about disasters and automatically invites users to submit more detailed disaster reports. These crowd-sourced reports are used to map disasters in real-time, on a free and open source website, PetaBencana.id.

As flooding blocked major thoroughfares and toll roads, disrupted commuter lines, and cut off electricity to over 60,000 homes, residents continued to share updates about the flood situation in order to stay alert and make timely decisions about safety and response. Hundreds of residents submitted flood reports to PetaBencana.id, alerting each other about water levels, broken infrastructures and road accessibility. The Jakarta Emergency Management Agency also updated the map with official information about flood affected  areas, and monitored the map to respond to resident needs. PetaBencana.id experienced a 2000% in activity in under 12 hours as residents actively checked the map to understand the flooding situation, avoid flooded areas, and make decisions about safety and response. 

Residents share updates about flood-affected road access through the open source information sharing platform, PetaBencana.id. Thousands of residents used the map to navigate safely as heavy rainfall inundated the city for the third major time this year.

As flooding incidents continue to occur with increasing intensity across the country, community-led information sharing is once again proving its significance in supporting response and planning at multiple scales. …(More)”.