OkCupid Study Reveals the Perils of Big-Data Science

OkCupid’s Unblushing Analyst of Attraction (Published 2014)

Christian Rudder, president of the online dating service OkCupid, says websites like his should conduct more research, not less, on users’ habits.

DataColada: No Comments - Replicability-Index

Science is like an iceberg. The published record is only a fraction of the things that university -paid academics do. Some time ago, Brian Nosek dreamed about a scientific utopia of open science that would make the workings of academia more transparent, but all we got was preprints and some badges - that are apparently DataColada: Open Science, but Closed Comments?

The Consensus Trap: Dissecting Subjectivity and the “Ground Truth” Illusion in Data Annotation

As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

Open North – Building trust in data, for the common good

Open North is a not-for-profit organization dedicated to advancing the common good. Working alongside governments and civic-minded organizations of all sizes, we provide data expertise to enhance decision-making, drive innovation, optimize public and civic services, and address society's most pressing challenges. Our work focuses on building the capacity of organizations to make better decisions about managing their data so that it is useful, actionable, secure, and trustworthy throughout its entire lifecycle.

Can something be private yet discoverable? — Index Network

Index shifts discovery from performance to presence, where builders and thinkers don't need to broadcast themselves to be found—just express what they're looking for.

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

Facebook may stop the data leaks, but it’s too late: Cambridge Analytica’s models live on

Long after the training data has been deleted, the models can continue being improved and used to influence future voters.

Who Even Cares About Data Ownership Anyway? - What The Function!?

Taking a look at a concept that's been talked a lot over the last few years, especially in the context of social media

Who Even Cares About Data Ownership Anyway? - What The Function!?

Taking a look at a concept that's been talked a lot over the last few years, especially in the context of social media

We Need A New Kind Of Data Rights

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

“Age limits on social media are a dead end”

Public authorities should focus on regulating algorithms and imposing stricter controls on data collection instead, argues researcher.

Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community · Issue 2.2, Spring 2020

Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.

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.

Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools, Infrastructure, and Training

Equitable data science education requires a multifaceted approach, involving high school and higher education, community involvement, and accessible tools. A renewed investment in public digital infrastructure is needed to support these efforts. Nonprofits play a crucial role in supporting these efforts, and increased representation in leadership can enhance their impact. By addressing these disparities, we can ensure a more inclusive future in data science.