Crosscope

Curated on Posted on by Stefaan Verhulst

“Crosscope is revolutionizing the way practitioners and researchers are leveraging digital pathology to share and solve medical cases.

Since the 1900s cancer diagnosis has been limited to the subjective interpretation of what the pathologist could see under a microscope. To transform the way we perform pathology and cancer research, we are developing new tools to leverage powerful AI & perspectives of medical experts at the same time.

At Crosscope, we are building a place for the convergence of collective intelligence of our massive online medical community and AI. We are commited to developing cutting edge AI tools for better decision support in cancer care. We aim to be the largest database for tagged histopathology images which will contain a lot more information than genomics alone and will be crucial in early diagnosis of cancer….(More)”.

AI Ethics — Too Principled to Fail?

Curated on Posted on by Stefaan Verhulst

Paper by Brent Mittelstadt: “AI Ethics is now a global topic of discussion in academic and policy circles. At least 63 public-private initiatives have produced statements describing high-level principles, values, and other tenets to guide the ethical development, deployment, and governance of AI. According to recent meta-analyses, AI Ethics has seemingly converged on a set of principles that closely resemble the four classic principles of medical ethics.

Despite the initial credibility granted to a principled approach to AI Ethics by the connection to principles in medical ethics, there are reasons to be concerned about its future impact on AI development and governance. Significant differences exist between medicine and AI development that suggest a principled approach in the latter may not enjoy success comparable to the former. Compared to medicine, AI development lacks (1) common aims and fiduciary duties, (2) professional history and norms, (3) proven methods to translate principles into practice, and (4) robust legal and professional accountability mechanisms. These differences suggest we should not yet celebrate consensus around high-level principles that hide deep political and normative disagreement….(More)”.

Trusted data and the future of information sharing

Curated on Posted on by Stefaan Verhulst

 MIT Technology Review: “Data in some form underpins almost every action or process in today’s modern world. Consider that even farming, the world’s oldest industry, is on the verge of a digital revolution, with AI, drones, sensors, and blockchain technology promising to boost efficiencies. The market value of an apple will increasingly reflect not only traditional farming inputs but also some value of modern data, such as weather patterns, soil acidity levels and agri-supply-chain information. By 2022 more than 60% of global GDP will be digitized, according to IDC.

Governments seeking to foster growth in their digital economies need to be more active in encouraging safe data sharing between organizations. Tolerating the sharing of data and stepping in only where security breaches occur is no longer enough. Sharing data across different organizations enables the whole ecosystem to grow and can be a unique source of competitive advantage. But businesses need guidelines and support in how to do this effectively.   

This is how Singapore’s data-sharing worldview has evolved, according to Janil Puthucheary, senior minister of state for communications and information and transport, upon launching the city-state’s new Trusted Data Sharing Framework in June 2019.

The Framework, a product of consultations between Singapore’s Infocomm Media Development Authority (IMDA), its Personal Data Protection Commission (PDPC), and industry players, is intended to create a common data-sharing language for relevant stakeholders. Specifically, it addresses four common categories of concerns with data sharing: how to formulate an overall data-sharing strategy, legal and regulatory considerations, technical and organizational considerations, and the actual operationalizing of data sharing.

For instance, companies often have trouble assessing the value of their own data, a necessary first step before sharing should even be considered. The framework describes the three general approaches used: market-, cost-, and income-based. The legal and regulatory section details when businesses can, among other things, seek exemptions from Singapore’s Personal Data Protection Act.

The technical and organizational chapter includes details on governance, infrastructure security, and risk management. Finally, the section on operational aspects of data sharing includes guidelines for when it is appropriate to use shared data for a secondary purpose or not….(More)”.

Digital tools for Citizens’ Assemblies

Curated on Posted on by Stefaan Verhulst

Report by Alex Parsons: “… result of mySociety’s research into how digital tools can be used as part of the process of a Citizens’ Assembly.

We reviewed how Citizens’ Assemblies to date have approached technology, and explored where lessons can be learned from other deliberative or consultative activities.

While there is no unified Citizens’ Assembly digital service, there are a number of different tools that can be used to enhance the process – and that most of these are generic and well-tested products and services. We also tried to identify where innovative tools could be put to new uses, while always bearing in mind the core importance of the in-person deliberative nature of assemblies….(More)”.

Foundations of Information Ethics

Curated on Posted on by Stefaan Verhulst

Book by John T. F. Burgess and Emily J. M. Knox: “As discussions about the roles played by information in economic, political, and social arenas continue to evolve, the need for an intellectual primer on information ethics that also functions as a solid working casebook for LIS students and professionals has never been more urgent. This text, written by a stellar group of ethics scholars and contributors from around the globe, expertly fills that need. Organized into twelve chapters, making it ideal for use by instructors, this volume from editors Burgess and Knox

  • thoroughly covers principles and concepts in information ethics, as well as the history of ethics in the information professions;
  • examines human rights, information access, privacy, discourse, intellectual property, censorship, data and cybersecurity ethics, intercultural information ethics, and global digital citizenship and responsibility;
  • synthesizes the philosophical underpinnings of these key subjects with abundant primary source material to provide historical context along with timely and relevant case studies;
  • features contributions from John M. Budd, Paul T. Jaeger, Rachel Fischer, Margaret Zimmerman, Kathrine A. Henderson, Peter Darch, Michael Zimmer, and Masooda Bashir, among others; and
  • offers a special concluding chapter by Amelia Gibson that explores emerging issues in information ethics, including discussions ranging from the ethics of social media and social movements to AI decision making…(More)”.

How credit unions could help people make the most of personal data

Curated on Posted on by Stefaan Verhulst

Dylan Walsh at MIT Sloan: “In May of 2018, the EU adopted the General Data Protection Regulation, referred to by The New York Timesas “the world’s toughest rules to protect people’s online data.” Among its many safeguards, the GDPR gave individuals ownership of their personal data and thereby restricted its collection and use by businesses.

“That’s a good first start,” said Alex Pentland, a co-creator of the MIT Media Lab who played a foundational role in the development of the GDPR. “But ownership isn’t enough. Simply having the rights to your data doesn’t allow you to do much with it.” In response to this shortcoming, Pentland and his team have proposed the establishment of data cooperatives.

The idea is conceptually straightforward: Individuals would pool their personal data in a single institution — just as they pool money in banks — and that institution would both protect the data and put it to use. Pentland and his team suggest credit unions as one type of organization that could fill this role. And while companies would need to request permission to use consumer data, consumers themselves could request analytic insights from the cooperative. Lyft drivers, for instance, might compare their respective incomes across routes, and ride-share passengers could compare how much they pay relative to other cooperative members….

Several states have now asked credit unions to look into the idea of data cooperatives, but the model has yet to gain a foothold. “Credit unions are conservative,” Pentland said. But assuming the idea gains traction, the infrastructure won’t be difficult to build. Technology exists to automatically record and organize all the data that we give to companies; and credit unions, which have 100 million members nationwide, possess charters readymade to take on data management….(More)”.

Mobile phone data’s potential for informing infrastructure planning in developing countries

Curated on Posted on by Stefaan Verhulst

Paper by Hadrien Salat, Zbigniew Smoreda, and Markus Schläpfer: “High quality census data are not always available in developing countries. Instead, mobile phone data are becoming a go to proxy to evaluate population density, activity and social characteristics. They offer additional advantages for infrastructure planning such as being updated in real-time, including mobility information and recording temporary visitors’ activity. We combine various data sets from Senegal to evaluate mobile phone data’s potential to replace insufficient census data for infrastructure planning in developing countries. As an applied case, we test their ability at predicting accurately domestic electricity consumption. We show that, contrary to common belief, average mobile phone activity is not well correlated with population density. However, it can provide better electricity consumption estimates than basic census data. More importantly, we successfully use curve and network clustering techniques to enhance the accuracy of the predictions, to recover good population mapping potential and to reduce the collection of informative data for planning to substantially smaller samples….(More)”.

Design Tweak Yields 18 Percent Rise in SNAP Enrollment

Curated on Posted on by Stefaan Verhulst

Zack Quaintance at Government Technology: “A new study has found that a small human-centered design tweak made by government can increase the number of eligible people who enroll for food benefits.

The study — conducted by the data science firm Civis Analytics and the nonprofit food benefits enrollment advocacy group mRelief — was conducted in Los Angeles County from January to April of this year. It was designed to test a pair of potential improvements. The first was the ability to schedule a call directly with the CalFresh office, which handles food benefits enrollment in California. The second was the ability to schedule a call along with a text reminder to schedule a call. The study was conducted via a randomized control trial that ultimately included about 2,300 people.

What the research found was an 18 percent increase in enrollment within the group that was given the chance to schedule a call. Subsequently, text reminders showed no increase of any significance….(More)”.

Sharing data can help prevent public health emergencies in Africa

Curated on Posted on by Stefaan Verhulst

Moses John Bockarie at The Conversation: “Global collaboration and sharing data on public health emergencies is important to fight the spread of infectious diseases. If scientists and health workers can openly share their data across regions and organisations, countries can be better prepared and respond faster to disease outbreaks.

This was the case in with the 2014 Ebola outbreak in West Africa. Close to 100 scientists, clinicians, health workers and data analysts from around the world worked together to help contain the spread of the disease.

But there’s a lack of trust when it comes to sharing data in north-south collaborations. African researchers are suspicious that their northern partners could publish data without acknowledging the input from the less resourced southern institutions where the data was first generated. Until recently, the authorship of key scientific publications, based on collaborative work in Africa, was dominated by scientists from outside Africa.

The Global Research Collaboration for Infectious Disease Preparedness, an international network of major research funding organisations, recently published a roadmap to data sharing. This may go some way to address the data sharing challenges. Members of the network are expected to encourage their grantees to be inclusive and publish their results in open access journals. The network includes major funders of research in Africa like the European Commission, Bill & Melinda Gates Foundation and Wellcome Trust.

The roadmap provides a guide on how funders can accelerate research data sharing by the scientists they fund. It recommends that research funding institutions make real-time, external data sharing a requirement. And that research needs to be part of a multi-disciplinary disease network to advance public health emergencies responses.

In addition, funding should focus on strengthening institutions’ capacity on a number of fronts. This includes data management, improving data policies, building trust and aligning tools for data sharing.

Allowing researchers to freely access data generated by global academic counterparts is critical for rapidly informing disease control strategies in public health emergencies….(More)”.

The role of comparative city policy data in assessing progress toward the urban SDG targets

Curated on Posted on by Stefaan Verhulst

VeronikaRozhenkova et al in Cities: “As part of the UN Sustainable Development Goals, all countries have agreed to “make cities and human settlements inclusive, safe, resilient and sustainable”. We argue that there is a critical need for large-scale comparative city policy data that, when linked with outcome data, could be used to identify where policies are working and where they could be improved. In an assessment of the landscape of existing city policy data, based on a comprehensive scoping review, we find that existing databases are insufficient for the purposes of comparative analysis. We then describe what an “ideal” city policy database would look like, where it could be housed, and how it could be developed. Such a database could be a key tool for achieving SDG 11, the urban Sustainable Development Goal….(More)”.