Kari Jordan, Ph.D.

Danielle Robinson, PhD

Advancing the power of data to improve the social and economic lives of all people.

Living in Data: A Citizen's Guide to a Better Information Future (Paperback)

Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century

Data Feminism

Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...

Reframing our relation to our data | Ronen Tamari

From data as digital exhaust to data as digital trails to collective wisdom.

MyData

The human-centric approach to data is aimed at a fair, sustainable, and prosperous digital society. In such a society, people get value from their data and set the agenda on how it is used. And for organisations, the ethical use of data is always the most attractive option.

Has technological innovation lost the plot? An interview with AI ethicist Dr. Shannon Vallor | Chicago Policy Review

Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute (EFI) at the University of Edinburgh, where she is also appointed in Philosophy. Professor Vallor’s research explores how new technologies, especially AI, robotics, and data science, reshape human moral character, habits, and practices. She is […]

Data Feminism

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.Today, data science is a form of power. I

Data Feminism

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Future Knowledge | Mass Surveillance and the Loss of Fun

In this episode of Future Knowledge, Alexis Durante-Tierney and Helen Vogelsong-Donahue, hosts of the Born Digital podcast, explore how growing up under constant surveillance may be changing the wa...

Data Scientist: The Sexiest Job of the 21st Century

Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with unprecedented volumes and types of information, demand for these experts has raced well ahead of supply. Indeed, Greylock Partners, the VC firm that backed Facebook and LinkedIn, is so worried about the shortage of data scientists that it has a recruiting team dedicated to channeling them to the businesses in its portfolio. Data scientists are the key to realizing the opportunities presented by big data. They bring structure to it, find compelling patterns in it, and advise executives on the implications for products, processes, and decisions. They find the story buried in the data and communicate it. And they don’t just deliver reports: They get at the questions at the heart of problems and devise creative approaches to them. One data scientist who was studying a fraud problem, for example, realized it was analogous to a type of DNA sequencing problem. Bringing those disparate worlds together, he crafted a solution that dramatically reduced fraud losses. In this article, Harvard Business School’s Davenport and Greylock’s Patil take a deep dive on what organizations need to know about data scientists: where to look for them, how to attract and develop them, and how to spot a great one.

Data Minimisation: a Language-Based Approach (Long Version)

Data minimisation is a privacy-enhancing principle considered as one of the pillars of personal data regulations. This principle dictates that personal data collected should be no more than...

We Need A New Kind Of Data Rights

Associational data rights would empower communities to reclaim power from Big Tech

Data-owning Democracy or Digital Socialism?

This article contrasts two reform proposals articulated in recent debates about how to democratize the digital economy: data-owning democracy and digital socialism. A data-owning democracy is a political-economic regime character-ized by the

Mallory Knodel

Mallory Knodel: Activist and advocate transforming technology for social justice.

Quadro

Qualitative Data Analysis (QDA) for social scientists. An open alternative to MAXQDA and atlas.ti, using Markdown to store data and research codes.