The Modern World Has Finally Become Too Complex for Any of Us to Understand


Blog by Tim Maughan: “One of the dominant themes of the last few years is that nothing makes sense. Donald Trump is president, QAnon has mainstreamed fringe conspiracy theories, and hundreds of thousands are dead from a pandemic and climate change while many Americans do not believe that the pandemic or climate change are deadly. It’s incomprehensible.

I am here to tell you that the reason so much of the world seems incomprehensible is that it is incomprehensible. From social media to the global economy to supply chains, our lives rest precariously on systems that have become so complex, and we have yielded so much of it to technologies and autonomous actors that no one totally comprehends it all….

And those platforms of technology and software that glue all these huge networks together have become a complex system themselves. The internet might be the system that we interact with in the most direct and intimate ways, but most of us have little comprehension of what lies behind our finger-smudged touchscreens, truly understood by few. Made up of data centers, internet exchanges, huge corporations, tiny startups, investors, social media platforms, datasets, adtech companies, and billions of users and their connected devices, it’s a vast network dedicated to mining, creating, and moving data on scales we can’t comprehend. YouTube users upload more than 500 hours of video every minute — which works out as 82.2 yearsof video uploaded to YouTube every day. As of June 30, 2020, there are over 2.7 billion monthly active Facebook users, with 1.79 billion people on average logging on daily. Each day, 500 million tweets are sent— or 6,000 tweets every second, with a day’s worth of tweets filling a 10-million-page book. Every day, 65 billion messages are sent on WhatsApp. By 2025, it’s estimated that 463 million terabytes of data will be created each day — the equivalent of 212,765,957 DVDs.

So, what we’ve ended up with is a civilization built on the constant flow of physical goods, capital, and data, and the networks we’ve built to manage those flows in the most efficient ways have become so vast and complex that they’re now beyond the scale of any single (and, arguably, any group or team of) human understanding them. It’s tempting to think of these networks as huge organisms, with tentacles spanning the globe that touch everything and interlink with one another, but I’m not sure the metaphor is apt. An organism suggests some form of centralized intelligence, a nervous system with a brain at its center, processing data through feedback loops and making decisions. But the reality with these networks is much closer to the concept of distributed intelligence or distributed knowledge, where many different agents with limited information beyond their immediate environment interact in ways that lead to decision-making, often without them even knowing that’s what they’re doing….(More)”.

Open Data Inventory 2020


Report by the Open Data Watch: “The 2020/21 Open Data Inventory (ODIN) is the fifth edition of the index compiled by Open Data Watch. ODIN 2020/21 provides an assessment of the coverage and openness of official statistics in 187 countries, an increase of 9 countries compared to ODIN 2018/19. The year 2020 was a challenging year for the world as countries grappled with the COVID-19 pandemic. Nonetheless, and despite the pandemic’s negative impact on the capacity of statistics producers, 2020 saw great progress in open data.

However, the news on data this year isn’t all good. Countries in every region still struggle to publish gender data and many of the same countries are unable to provide sex-disaggregated data on the COVID-19 pandemic. In addition, low-income countries continue to need more support with capacity building and financial resources to overcome the barriers to publishing open data.

ODIN is an evaluation of the coverage and openness of data provided on the websites maintained by national statistical offices (NSOs) and any official government website that is accessible from the NSO site. The overall ODIN score is an indicator of how complete and open an NSO’s data offerings are. It is comprised of both a coverage and openness subscore. Openness is measured against standards set by the Open Definition and Open Data Charter. ODIN 2020/21 includes 22 data categories, grouped under social, economic and financial, and environmental statistics. ODIN scores are represented on a range between 0 and 100, with 100 representing the best performance on open data… The full report will be released in February 2021….(More)”.

Climate TRACE


About: “We exist to make meaningful climate action faster and easier by mobilizing the global tech community—harnessing satellites, artificial intelligence, and collective expertise—to track human-caused emissions to specific sources in real time—independently and publicly.

Climate TRACE aims to drive stronger decision-making on environmental policy, investment, corporate sustainability strategy, and more.

WHAT WE DO

01 Monitor human-caused GHG emissions using cutting-edge technologies such as artificial intelligence, machine learning, and satellite image processing.

02 Collaborate with data scientists and emission experts from an array of industries to bring unprecedented transparency to global pollution monitoring.

03 Partner with leaders from the private and public sectors to share valuable insights in order to drive stronger climate policy and strategy.

04 Provide the necessary tools for anyone anywhere to make better decisions to mitigate and adapt to the impacts from climate change… (More)”

OECD Digital Economy Outlook


OECD: “…we released the third and latest edition of the OECD Digital Economy Outlook, our comprehensive analysis of emerging trends, opportunities and challenges in the digital economy….

Below are four key findings from this year’s Outlook. Find out more in our full publication and watch our virtual launch event here.

  • Widespread connectivity has allowed many to adapt to the crisis

Our report finds that connectivity has continued to improve over time. Mobile broadband subscriptions nearly tripled between 2009 and June 2019, rising from 32 to nearly 113 subscriptions per 100 inhabitants, while average mobile data usage quadrupled over the course of four years, reaching 4.6 GB in 2018. Although fibre connections have increased at a slower rate, by June 2019 they accounted for 27% of all fixed broadband connections in the OECD and no less than 50% in nine OECD countries.

  • But there are still significant divides in access, use and skills
  • Governments are increasingly putting the digital transformation front and centre

By mid-2020, 34 OECD countries had put in place a national digital strategy co-ordinated at the highest levels of government, and they are devoting more attention to emerging digital technologies such as AI, blockchain and 5G infrastructure. By mid-2020, 60 countries had established a national AI strategy, and several OECD countries – Australia, Austria, Colombia, France, Germany, Korea, Spain, the United Kingdom and the United States – have issued national 5G strategies. Several countries – Australia, People’s Republic of China, Germany, India and Switzerland – have issued a blockchain strategy, while others (France and Italy) are currently developing one.

  • But more needs to be done to ensure an inclusive digital transformation…(More)”.

Code of Conduct Constructor


Tool developed by GODAN: “Codes of conduct, voluntary guidelines and sets of principles around how to transparently govern farm data are a recent thing. While laws and regulations that govern personal data are becoming more and more common, legislation still does not cover data flows in many industries where different actors in the value chain need to share data while protecting all involved from the risks of data sharing. Data in these value chains is currently governed through private data contracts and licensing agreements, which are normally very complex and over which data producers have very little negotiating power.

Codes of conduct have started to emerge to fill the legislative void, setting common standards for data sharing contracts. Codes provide principles that the signatories agree to apply in their contracts. Farm data is an example of such sensitive data flows. Farm data flows go from the farm through many other actors (extensionists/ advisory service providers/ ag tech companies, farmers’ associations, financial service providers, government…), before returning – aggregated and combined and in the form of services – back to the farm. Such flows potentially open up sensitive data that should only be shared with specific actors under specific conditions, or should be anonymised in order to avoid harming the farmer’s interests and privacy. This is especially true in the case of smallholder farmers, whose farm data often coincides with household data and personal data, and who are in the weakest position to negotiate their data rights.

This online tool, therefore, also has another important practical purpose: providing the conceptual basis for general, scalable guidelines for everyone dealing with the production, ownership, sharing and use of data in agriculture….(More)”.

Is the Coronavirus Catalyzing New Civic Collaborations for Open Government?


Paper by Abigail Bellows and Nada Zodhy: “From Africa to Latin America to Europe, the coronavirus pandemic has generated a surge in public demand for government transparency and accountability. To seize this window for reform, elite and grassroots civic actors concerned with open governance must overcome the cleavage that has long existed between them.

Thus far, the pandemic has catalyzed some new civic collaborations, but not at the scale or depth needed to seize that window. In general, civil society groups report feeling more isolated during the pandemic. In some places, the urgency of tackling open government issues during the pandemic has helped overcome that isolation by deepening partnerships among existing networks. But in other places, those partnerships have yet to take shape, and new alliances are less likely to form without the benefit of face-to-face interactions. Even the partnerships that have crystallized or deepened do not appear to be changing the fundamental roles of elite and grassroots civic actors. It is possible that this shift may happen over time. Or it may be that the pandemic alone is not enough to dislodge structural barriers to deeper cooperation.

The pandemic has dramatically changed the operations of elite and grassroots actors alike. The impact of those changes on collaboration between the two depends on preexisting levels of technological capacity. In places with limited connectivity, the pandemic has exacerbated the digital divide, adversely affecting grassroots actors. Meanwhile, in places with good connectivity, technology is enabling broader (though shallower) participation, laying the groundwork for more elite-grassroots collaboration.

Although many civil society groups are struggling financially during the pandemic, those effects are mitigated to some degree by continuing donor interest in the open government sector. This is encouraging, as coalition building requires dedicated, flexible resources.

Finally, it is a more dangerous time to be working on open government issues in general, and grassroots actors bear disproportionate risks in doing so. This underscores the need for more vertical alliances to mitigate civic space threats.

Moving forward, practitioners need to capitalize on public momentum around open governance by cultivating new elite-grassroots partnerships built on mutual respect. These partnerships will benefit from continued learning about which pandemic-era operational adaptations should be sustained (such as blended modes of in-person and online work) and how to mitigate the costs of doing so. Donors should drive timely investment toward coalition building in places where it is missing, alongside more direct support to grassroots actors…(More)”.

Introducing Reach: find and track research being put into action


Blog by Dawn Duhaney: “At Wellcome Data Labs we’re releasing our first product, Reach. Our goal is to support funding organisations and researchers by making it easier to find and track scientific research being put into action by governments and global health organisations.

https://reach.wellcomedatalabs.org/
https://reach.wellcomedatalabs.org/

We focused on solving this problem in collaboration with our internal Insights and Analysis team for Wellcome and with partner organisations before deciding to release Reach more widely.

We found that evaluation teams wanted tools to help them measure the influence academic research was having on policy making institutions. We noticed that it is often challenging to track how scientific evidence makes its way into policy making. Institutions like the UK Government and the World Health Organisation have hundreds of thousands of policy documents available — it’s a heavily manual task to search through them to find evidence of our funded research.

At Wellcome we have some established methods for collecting evidence of policy influence from our funded research such as end of scheme reporting and via word of mouth. Through these methods we found great examples of how funded research was being put into policy and practice by government and global health organisations.

One example is from Kenya. The KEMRI Research Programme — a collaboration between the Kenyan Medical Research Institute, Wellcome and Oxford University launched a research programme to improve maternal health in 2005. Their research was cited in the World Health Organisation and with advocacy efforts from the KEMRI team influenced the development of new Kenyan national guidelines of paediatric care.

In Wellcome Data Labs we wanted to build a tool that would aid the discovery of evidence based policy making and be a step in the process of assessing research influence for evaluators, researchers and funding institutions….(More)”.

Armchair Survey Research: A Possible Post-COVID-19 Boon in Social Science


Paper by Samiul Hasan: “Post-COVID-19 technologies for higher education and corporate communication have opened-up wonderful opportunity for Online Survey Research. These technologies could be used for one-to-one interview, group interview, group questionnaire survey, online questionnaire survey, or even ‘focus group’ discussions. This new trend, which may aptly be called ‘armchair survey research’ may be the only or new trend in social science research. If that is the case, an obvious question might be what is ‘survey research’ and how is it going to be easier in the post-COVID-19 world? My intention is to offer some help to the promising researchers who have all quality and eagerness to undertake good social science research for publication, but no fund.

The text is divided into three main parts. Part one deals with “Science, Social Science and Research” to highlight some important points about the importance of ‘What’, ‘Why’, and ‘So what’ and ‘framing of a research question’ for a good research. Then the discussion moves to ‘reliability and validity’ in social science research including falsifiability, content validity, and construct validity. This part ends with discussions on concepts, constructs, and variables in a theoretical (conceptual) framework. The second part deals categorically with ‘survey research’ highlighting the use and features of interviews and questionnaire surveys. It deals primarily with the importance and use of nominal response or scale and ordinal response or scale as well as the essentials of question content and wording, and question sequencing. The last part deals with survey research in the post-COVID-19 period highlighting strategies for undertaking better online survey research, without any fund….(More)”.

Scaling up Citizen Science


Report for the European Commission: “The rapid pace of technology advancements, the open innovation paradigm, and the ubiquity of high-speed connectivity, greatly facilitate access to information to individuals, increasing their opportunities to achieve greater emancipation and empowerment. This provides new opportunities for widening participation in scientific research and policy, thus opening a myriad of avenues driving a paradigm shift across fields and disciplines, including the strengthening of Citizen Science. Nowadays, the application of Citizen Science principles spans across several scientific disciplines, covering different geographical scales. While the interdisciplinary approach taken so far has shown significant results and findings, the current situation depicts a wide range of projects that are heavily context-dependent and where the learning outcomes of pilots are very much situated within the specific areas in which these projects are implemented. There is little evidence on how to foster the spread and scalability in Citizen Science. Furthermore, the Citizen Science community currently lacks a general agreement on what these terms mean, entail and how these can be approached.

To address these issues, we developed a theoretically grounded framework to unbundle the meaning of scaling and spreading in Citizen Science. In this framework, we defined nine constructs that represent the enablers of these complex phenomena. We then validated, enriched, and instantiated this framework through four qualitative case studies of, diverse, successful examples of scaling and spreading in Citizen Science. The framework and the rich experiences allow formulating four theoretically and empirically grounded scaling scenarios. We propose the framework and the in-depth case studies as the main contribution from this report. We hope to stimulate future research to further refine our understanding of the important, complex and multifaceted phenomena of scaling and spreading in Citizen Science. The framework also proposes a structured mindset for practitioners that either want to ideate and start a new Citizen Science intervention that is scalable-by-design, or for those that are interested in assessing the scalability potential of an existing initiative….(More)”.

The Next Generation Humanitarian Distributed Platform


Report by Mercy Corps, the Danish Red Cross and hiveonline: “… call for the development of a shared, sector-wide “blockchain for good” to allow the aid sector to better automate and track processes in real-time, and maintain secure records. This would help modernize and coordinate the sector to reach more people as increasing threats such as pandemics, climate change and natural disasters require aid to be disbursed faster, more widely and efficiently.

A cross-sector blockchain platform – a digital database that can be simultaneously used and shared within a large decentralized, publicly accessible network – could support applications ranging from cash and voucher distribution to identity services, natural capital and carbon tracking, and donor engagement.

The report authors call for the creation of a committee to develop cross-sector governance and coordinate the implementation of a shared “Humanitarian Distributed Platform.” The authors believe the technology can help organizations fulfill commitments made to transparency, collaboration and efficiency under the Humanitarian Grand Bargain.

The report is compiled from responses of 35 survey participants, representing stakeholders in the humanitarian sector, including NGO project implementers, consultants, blockchain developers, academics, and founders. A further 39 direct interviews took place over the course of the research between July and September 2020….(More)”.