Industry Data for Society Partnership


Press Release: “On Wednesday, a new Industry Data for Society Partnership (IDSP) was launched by GitHub, Hewlett Packard Enterprise (HPE), LinkedIn, Microsoft, Northumbrian Water Group, R2 Factory and UK Power Networks. The IDSP is a first-of-its-kind cross-industry partnership to help advance more open and accessible private-sector data for societal good. The founding members of the IDSP agree to provide greater access to their data, where appropriate, to help tackle some of the world’s most pressing challenges in areas such as sustainability and inclusive economic growth.

In the past few years, open data has played a critical role in enabling faster research and collaboration across industries and with the public sector. As we saw during COVID-19, pandemic data that was made more open enabled researchers to make faster progress and gave citizens more information to inform their day-to-day activities. The IDSP’s goal is to continue this model into new areas and help address other complex societal challenges. The IDSP will serve as a forum for the participating companies to foster collaboration, as well as a resource for other entities working on related issues.

IDSP members commit to the following:

  • To open data or provide greater access to data, where appropriate, to help solve pressing societal problems in a usable, responsible and inclusive manner.
  • To share knowledge and information for the effective use of open data and data collaboration for social benefit.
  • To invest in skilling a broad class of professionals to use data effectively and responsibly for social impact.
  • To protect individuals’ privacy in all these activities.

The IDSP will also bring in other organizations with expertise in societal issues. At launch, The GovLab’s Data Program based at New York University and the Open Data Institute will both be partnership Affiliates to provide guidance and expertise for partnership endeavors…(More)”.

Operationalizing Digital Self Determination


Paper by Stefaan G. Verhulst: “We live in an era of datafication, one in which life is increasingly quantified and transformed into intelligence for private or public benefit. When used responsibly, this offers new opportunities for public good. However, three key forms of asymmetry currently limit this potential, especially for already vulnerable and marginalized groups: data asymmetries, information asymmetries, and agency asymmetries. These asymmetries limit human potential, both in a practical and psychological sense, leading to feelings of disempowerment and eroding public trust in technology. Existing methods to limit asymmetries (e.g., consent) as well as some alternatives under consideration (data ownership, collective ownership, personal information management systems) have limitations to adequately address the challenges at hand. A new principle and practice of digital self-determination (DSD) is therefore required.
DSD is based on existing concepts of self-determination, as articulated in sources as varied as Kantian philosophy and the 1966 International Covenant on Economic, Social and Cultural Rights. Updated for the digital age, DSD contains several key characteristics, including the fact that it has both an individual and collective dimension; is designed to especially benefit vulnerable and marginalized groups; and is context-specific (yet also enforceable). Operationalizing DSD in this (and other) contexts so as to maximize the potential of data while limiting its harms requires a number of steps. In particular, a responsible operationalization of DSD would consider four key prongs or categories of action: processes, people and organizations, policies, and products and technologies…(More)”.

How citizen science can help realize the full potential of data


Blog by Haishan Fu, Craig Hammer, and Edward Anderson: “Citizen science, a critical pillar of Open Science, advocates for greater citizen involvement in knowledge generation, research goals, and outcomes. By engaging citizens directly in data collection, drone imaging, and crowdsourcing into project design, we provide policymakers and citizens with valuable data and information they need to make informed and effective decisions.   

Furthermore, abiding by the principles of citizen science, we can help communities establish a new social contract around data stewardship, grounded in the principles of value, trust, and equity, as proposed by the World Development Report 2021: Data for Better Lives. The report puts forward a vision of data governance that is multistakeholder and collaborative. It explicitly builds data production, protection, exchange, and use into planning and decision-making, and integrates participants from civil society, private sectors, and importantly, the public into the data life cycle and into the governance structures of the system. 

As the experience of the Resilience Academy shows, increasing our commitment to citizen science by inviting public engagement before, during, and after development projects can help engage a wider swath of the public with the Bank’s Open Data Initiative.   

The Tanzania-based project empowers students to adapt low-cost, low-complexity tools and open methods to collect and manage data from their changing environments. Resilience Academy students also participate in solving real-world challenges in their community, such as mapping flood- and rockfall-prone zones, surveying tourism and infrastructure needs, and other areas currently lacking critical data. 

This “learning by doing” approach equips young people with the long-term tools, knowledge, and skills they need to address the world’s most pressing urban challenges and ensure resilient urban development. This project is demonstrating the many co-benefits that come from hands-on learning, job creation, and data management-related skills. 

Incorporating citizen science into open data agendas and project design, however, will necessitate some changes to how the World Bank and other multilateral development agencies approach development projects….(More)”.

Collective Intelligence in Action – Using Machine Data and Insights to Improve UNDP Sensemaking


UNDP Report: “At its heart, sensemaking is a strategic process designed to extract insights from current projects to generate actionable intelligence for UNDP Country Offices (CO) and other stakeholders. Also, the approach has the potential to increase coherency amongst portfolios of projects, surface common patterns, identify connections, gaps and future perspectives, and determine strategic actions to accelerate the impact of their work.

 By adopting a data-driven approach and looking into structured and semi-structured data from https://open.undp.org/ as well as unstructured data from Open UNDP, project documents and annual progress reports of selected projects, this endeavor aims to extract useful insights for the CO colleagues to better understand where their portfolio is working and identify entry points for breaking silos between teams and spurring collaboration. It is designed to help improve Sensemaking, support better strategy and improve management decisions…(More)”.

Inclusive Imaginaries: Catalysing Forward-looking Policy Making through Civic Imagination


UNDP Report: “Today’s complex challenges- including climate change, global health, and international security, among others – are pushing development actors to re-think and re-imagine traditional ways of working and decision-making. Transforming traditional approaches to navigating complexity would support what development thinker Sam Pitroda’s calls a ‘third vision’ demands a mindset rooted in creativity, innovation, and courage in order to one transcend national interests and takes into account global issues.

Inclusive Imaginaries is an approach that utilises collective reflection and imagination to engage with citizens, towards building more just, equitable and inclusive futures. It seeks to infuse imagination as a key process to support gathering of community perspectives rooted in lived experience and local culture, towards developing more contextual visions for policy and programme development…(More)”.

Can open-source technologies support open societies?


Report by Victoria Welborn, and George Ingram: “In the 2020 “Roadmap for Digital Cooperation,” U.N. Secretary General António Guterres highlighted digital public goods (DPGs) as a key lever in maximizing the full potential of digital technology to accelerate progress toward the Sustainable Development Goals (SDGs) while also helping overcome some of its persistent challenges. 

The Roadmap rightly pointed to the fact that, as with any new technology, there are risks around digital technologies that might be counterproductive to fostering prosperous, inclusive, and resilient societies. In fact, without intentional action by the global community, digital technologies may more naturally exacerbate exclusion and inequality by undermining trust in critical institutions, allowing consolidation of control and economic value by the powerful, and eroding social norms through breaches of privacy and disinformation campaigns. 

Just as the pandemic has served to highlight the opportunity for digital technologies to reimagine and expand the reach of government service delivery, so too has it surfaced specific risks that are hallmarks of closed societies and authoritarian states—creating new pathways to government surveillance, reinforcing existing socioeconomic inequalities, and enabling the rapid proliferation of disinformation. Why then—in the face of these real risks—focus on the role of digital public goods in development?

As the Roadmap noted, DPGs are “open source software, open data, open AI models, open standards and open content that adhere to privacy and other applicable laws and best practices, do no harm, and help attain the SDGs.”[1] There are a number of factors why such products have unique potential to accelerate development efforts, including widely recognized benefits related to more efficient and cost effective implementation of technology-enabled development programming. 

Historically, the use of digital solutions for development in low- and middle-income countries (LMICs) has been supported by donor investments in sector-specific technology systems, reinforcing existing silos and leaving countries with costly, proprietary software solutions with duplicative functionality and little interoperability across government agencies, much less underpinning private sector innovation. These silos are further codified through the development of sector-specific maturity models and metrics. An effective DPG ecosystem has the potential to enable the reuse and improvement of existing tools, thereby lowering overall cost of deploying technology solutions and increasing efficient implementation.

Beyond this proven reusability of DPGs and the associated cost and deployment efficiencies, do DPGs have even more transformational potential? Increasingly, there is interest in DPGs as drivers of inclusion and products through which to standardize and safeguard rights; these opportunities are less understood and remain unproven. To begin to fill that gap, this paper first examines the unique value proposition of DPGs in supporting open societies by advancing more equitable systems and by codifying rights. The paper then considers the persistent challenges to more fully realizing this opportunity and offers some recommendations for how to address these challenges…(More)”.

Reimagining Data and Power: A roadmap for putting values at the heart of data


Paper by The Data Values Project: “This paper sets out the key themes that emerged from the consultation and describes a collective vision for a fair data future with agency, accountability, and action as its core features. Agency in data refers to having power to shape personal and/or community data and deciding whether, when, and with whom to share it. Accountability in data means that people have access to mechanisms to shape data governance decisions and to hold the powerful accountable. Data in action refers to the imperative of data producers and decision makers to use and share data to improve lives.

Building on these themes, the Data Values Project will advocate for actions that shift power to the people most affected by data production and use. This paper captures examples and stories that show these actions are already being taken by pro-active governments, companies, and civil society organizations around the world. These examples show what’s possible and already happening, while pointing to the distance that remains to achieve a fair data future for all.

This paper is only the first step to changing power imbalances in data design, collection, use, and governance. A global campaign to advocate for the values laid out in this white paper will launch in September at the United Nations General Assembly. Alongside this global campaign, champions and changemakers will lead localized advocacy efforts by tailoring messages and recommendations for actions at the local, sectoral, and regional levels.

The Data Values Project envisions a world where people can be equal players in the production and use of data that impacts them. This vision is for a fair data future in which the power of data is harnessed and its benefits are shared equitably to improve lives and ensure no one is left behind…(More)”.

AI Can Predict Potential Nutrient Deficiencies from Space


Article by Rachel Berkowitz: “Micronutrient deficiencies afflict more than two billion people worldwide, including 340 million children. This lack of vitamins and minerals can have serious health consequences. But diagnosing deficiencies early enough for effective treatment requires expensive, time-consuming blood draws and laboratory tests.

New research provides a more efficient approach. Computer scientist Elizabeth Bondi and her colleagues at Harvard University used publicly available satellite data and artificial intelligence to reliably pinpoint geographical areas where populations are at high risk of micronutrient deficiencies. This analysis could potentially pave the way for early public health interventions.

Existing AI systems can use satellite data to predict localized food security issues, but they typically rely on directly observable features. For example, agricultural productivity can be estimated from views of vegetation. Micronutrient availability is harder to calculate. After seeing research showing that areas near forests tend to have better dietary diversity, Bondi and her colleagues were inspired to identify lesser-known markers for potential malnourishment. Their work shows that combining data such as vegetation cover, weather and water presence can suggest where populations will lack iron, vitamin B12 or vitamin A.

The team examined raw satellite measurements and consulted with local public health officials, then used AI to sift through the data and pinpoint key features. For instance, a food market, inferred based on roads and buildings visible, was vital for predicting a community’s risk level. The researchers then linked these features to specific nutrients lacking in four regions’ populations across Madagascar. They used real-world biomarker data (blood samples tested in labs) to train and test their AI program….(More)”.

The Political Impact of the Sustainable Development Goals: Transforming Governance Through Global Goals?


Book edited by Frank Biermann, Thomas Hickmann, and Carole-Anne Sénit: “Written by an international team of over sixty experts and drawing on over three thousand scientific studies, this is the first comprehensive global assessment of the political impact of the Sustainable Development Goals, which were launched by the United Nations in 2015. It explores in detail the political steering effects of the Sustainable Development Goals on the UN system and the policies of countries in the Global North and Global South; on institutional integration and policy coherence, and on the ecological integrity and inclusiveness of sustainability policies worldwide. This book is a key resource for scholars, policymakers and activists concerned with the implementation of the Sustainable Development Goals, and those working in political science, international relations and environmental studies….(More)”.