







Being open isn't enough - true "research information citizenship" requires a robust, genuinely open research infrastructure.
Civic, Citizen and Grassroots Science: Towards a Transformative Scientific Research Model | Request PDF
Request PDF | On Jan 1, 2013, Jessica McCallum Breen and others published Civic, Citizen and Grassroots Science: Towards a Transformative Scientific Research Model | Find, read and cite all the research you need on ResearchGate

Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop Report
This report is an outcome of a Computing Community Consortium (CCC) visioning workshop on Grand Challenges for the Convergence of Computational and Citizen Science Research conducted on April 8-9, 2025, in Washington, D.C. as well as through several precursor virtual input-gathering sessions. These events brought together experts across relevant disciplines to develop a research agenda that brings to fruition the above vision on how humans and machines may team up to solve some of the world's most pressing scientific problems. Citizen science delivers measurable economic and national value. Public participation in scientific research generates millions of dollars in volunteer labor value, extends government agency capacity, and directly supports federal priorities in areas such as disaster management, public health, water, energy, workforce development, and many more. At the same time, 21st-century scientific infrastructure requirements for citizen science (from hardware and cyberinfrastructure to data and computational frameworks) mirror those for computational science more generally. The distributed, collaborative, long-term, and contextual nature of citizen science makes it a demanding real-world use case for a novel robust research infrastructure that accounts for security, privacy, resource adaptability, and transparency. In this report, we outline the key findings, future research directions, and recommendations that emerged from the April 2025 CCC Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop.

Beyond APIs: Collecting Web Data for Research using the National Internet Observatory
Widespread Internet use offers unprecedented opportunities to study human behavior at scale, yet researchers face significant ethical and technical barriers when attempting to collect data for academic studies.
The Politics of Open Infrastructures: Power, Governance, and Justice in Digital Knowledge Practices
This volume examines how openness is designed, governed, contested and lived in contemporary digital knowledge infrastructures. From open source software and internet standards, to citizen science platforms, public sector data systems and alternative computing practices, the book shows that infrastructures are never neutral technical backbones.

The Citizen Lab - The Citizen Lab
The Citizen Lab is an interdisciplinary research unit at the Munk School of Global Affairs & Public Policy, University of Toronto. We apply our collective expertise in the fields of law, computer science, cybersecurity, political science, and social sciences to investigate complex issues of the 21st century. Explore focus areas Get the latest research in […]

Citizen science in environmental and ecological sciences
Citizen science is an increasingly acknowledged approach applied in many scientific domains, and particularly within the environmental and ecological sciences, in which non-professional participants contribute to data collection to advance scientific research. We present contributory citizen science as a valuable method to scientists and practitioners within the environmental and ecological sciences, focusing on the full life cycle of citizen science practice, from design to implementation, evaluation and data management. We highlight key issues in citizen science and how to address them, such as participant engagement and retention, data quality assurance and bias correction, as well as ethical considerations regarding data sharing. We also provide a range of examples to illustrate the diversity of applications, from biodiversity research and land cover assessment to forest health monitoring and marine pollution. The aspects of reproducibility and data sharing are considered, placing citizen science within an encompassing open science perspective. Finally, we discuss its limitations and challenges and present an outlook for the application of citizen science in multiple science domains.

Governing by dismantling: tech oligarchy and the stifling of public data infrastructure
Published in Science as Culture (Ahead of Print, 2026)

Who Will Keep Research Data Infrastructure Open and Running?
The scientific community must consider the longevity of open research infrastructure—why it might fail and how to prevent it.

Who Will Keep Research Data Infrastructure Open and Running?
The scientific community must consider the longevity of open research infrastructure—why it might fail and how to prevent it.

Empowering science communities with open, democratic, researcher-owned infrastructure.
We’re building communities and tech for publishing, curating, sharing, and discussing research online using ATProto and other decentralized protocols.

Empowering science communities with open, democratic, researcher-owned infrastructure.
We’re building communities and tech for publishing, curating, sharing, and discussing research online using ATProto and other decentralized protocols.

Protecting civilians in a data-driven and digitalized battlespace: toward a baseline humanitarian technology infrastructure
This article examines the realities of modern day warfare, including a rising trend in hybrid threats and irregular warfare which employ emerging technologies supported by digital and data-driven processes. The way in which these technologies become applied generates a widened battlefield and leads to a greater number of civilians being caught up in conflict. Humanitarian groups mandated to protect civilians have adapted their approaches to the use of new emerging technologies. However, the lack of international consensus on the use of data, the public and private nature of the actors involved in conflict, the transnational aspects of the widened battlefield, and the heightened security risks in the conflict space pose enormous challenges for the protection of civilians agenda. Based on the dual-usage aspect of emerging technologies, the challenges associated with regulation and the need for those affected by conflict to demonstrate resilience toward, and knowledge of, digital media literacy, this paper proposes the development of guidance for a "minimum basic technology infrastructure" which is supported by technology, regulation, and public awareness and education

Becoming a stranger in my own field
There is a difference between making scientific work more accessible and changing what institutions recognize as valuable scientific work.

New study finds that when people help collect data or contribute to research it can build public trust by making scientists feel personally familiar and approachable, and that trust then spreads to how local and tangible the research feels. jcom.sissa.it/article/pubid/JCOM_2506_2026_…
How can citizen science reduce psychological distance to science? Insights from three projects in contested environmental contexts
jcom.sissa.it👀 "Rather than viewing citizen science merely as crowdsourced data collection or computational tools as autonomous infrastructure, we advocate for human-machine systems in which citizen scientists, including distributed publics, participate as monitors, interpreters...and co-producers of knowledge."
Leibniz book
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog