Big Data and Small: Collaborations between ethnographers and data scientists. Abstract In the past three years, Heather Ford—an ethnographer and now a PhD student—has worked on ad hoc collaborative projects around Wikipedia sources with two data scientists from Minnesota, Dave Musicant and Shilad Sen.
In this essay, she talks about how the three met, how they worked together, and what they gained from the experience. Eres lo que ‘te gusta’ Tremendo el artículo de Miguel Ángel Criado en El País: Eres lo que ‘te gusta’.
Mete el dedo en la llaga sobre la consecuencia más lógica de explicitar lo que hacemos a través de medios sociales en Internet. Como todo ahí es analizable, quien parece que mejor nos conoce es el Facebook de turno. Dime lo que te gusta y te diré quién eres. Simple. Tú y yo aportamos los datos y las máquinas hacen el resto. Big Bang Data. Hello World, instalación de Christopher Baker. © Sarah Rust Sampedro.
Big Data: el petroli del segle XXI. Tinc una idea El programa de TVE Catalunya que recull el testimoni de persones emprenedores, està dirigit per Miquel Peralta.
S’emet els diumenges a les 12:30 hores per La 2. Big Data for Social Good: Opportunities and Challenges. We live in a world of data, of big data.
Our digital and physical interactions are increasingly leaving digital traces behind, which leads to a big data revolution. Mobile phones are a powerful source of large-scale human behavioral data as it is the most widely adopted piece of technology in human history. In addition, mobile phones are personal devices that we carry with us all the time and are always connected, leaving a digital trace behind.
Therefore, they can be seen as sensors of large-scale human activity. Interestingly and very importantly, the analysis of mobile phone data can be done anonymously (i.e. without looking at any personal information) and in an aggregated fashion (i.e. always reporting aggregated results, never individually). Since 2008 we have been carrying out research in the area of Big Data for Social Good to understand the value of large-scale human behavioral data (as it is captured passively by the mobile network infrastructure) for positive social impact.
Fundación Big Data » Salud. El Govern aprova el projecte VISC+ per posar la informació sanitària a disposició dels ciutadans, les empreses i la recerca. Argimon-62-14Maig14.pdf. Proyecto Visc+ , ¿tráfico de datos sanitarios?.. ¿Pueden venderse los datos personales de los enfermos atendidos en la sanidad pública a empresas privadas?
Pues eso es lo que al parecer quieren hacer en Cataluña y ya hacen en Reino Unido. El “trafico de datos” es muy rentable para compañías aseguradoras, consultoras, sanitarias y para los laboratorios farmacéuticos. Los datos del proyecto los han investigado y analizado los periodistas de la revista catalana Cafèambllet. Se llama Proyecto Visc+ y es una herramienta que permitirá al Gobierno de la Generalitat de Cataluña poner en manos de la industria sanitaria internacional los datos médicos de los 7 millones de usuarios del sistema sanitario catalán. El Parlament paraliza por unanimidad el proyecto 'Visc+' de gestión de datos sanitarios. El Parlament ha aprobado este jueves por unanimidad paralizar el proyecto 'Visc+', de gestión de datos sanitarios para su uso y comercialización en centros de investigación, hasta que el Govern no finalice un "proceso participativo y de deliberación" con el sector.
La paralización surge de una moción presentada por ICV-EUiA en el pleno del Parlament y que ha sido apoyada por todos los partidos, incluido CiU, después de que el proyecto haya generado numerosas criticas por el peligro de que los datos de los pacientes acaben en manos de empresas privadas. Con la aprobación de la moción, el Govern deberá impulsar un proceso participativo y de deliberación a través de la organización de unas jornadas abiertas a la ciudadanía en los próximos meses, que deben contar con la participación de los colegios profesionales implicados. Sharing your data with the NHS - Health records. Using information about the care you have received, enables those involved in providing care and health services to improve the quality of care and health services for all.
The role of the Health and Social Care Information Centre (HSCIC) is to ensure that high quality information is used appropriately to improve patient care. NHS England has therefore commissioned a programme of work on behalf of the NHS, public health and social care services to address gaps in information. Our aim is to ensure that the best possible evidence is available to improve the quality of care for all. It is important that the NHS can use this information to get a complete picture of what is happening across health and social care and to plan services according to what works best.
The new system will provide joined-up information about the care received from all of the different parts of the health service, including hospitals and GP practices. Big data projects. Four projects that will examine the potential of big data - high volume, high velocity, raw information - in the arts and culture sector have been selected for funding through the Digital R&D Fund for the Arts.
These four projects will explore how the sector can use big data to grow its reach and develop new business strategies. The four projects, announced in May 2014, are: ArtsAPI (£292,343) – A web service that allows arts organisations to show the value and impact they generate through their networks, helping them to create new and refined business models and propositions. Arts Data Impact (£299,985) - ADI will embed the first ever data scientists-in-residence for the arts at the Barbican, English National Opera (ENO) and National Theatre to interrogate their ever-growing data resources alongside national data. The resulting tools, audience insight and organisational learning will be disseminated to the sector online and at wider industry events.
Big data can perpetuate poverty and inequality. Photo by Mark Kolbe/Getty Images This article originally appeared in the New America Foundation’s Weekly Wonk.
In 1977, the U.S. agency of Housing and Urban Development audited the real estate industry and discovered that blacks were shown fewer properties (or were told they were unavailable) and treated less courteously than their white counterparts. Today, the Information Age has introduced modern discrimination problems that can be harder to trace: From search engines to recommendation platforms, systems that rely on big data could be unlocking new powers of prejudice. But how do we figure out which systems are disadvantaging vulnerable populations—and stop them?
Here’s where it gets tricky: Unlike the mustache-twiddling racists of yore, conspiring to segregate and exploit particular groups, redlining in the Information Age can happen at the hand of well-meaning coders crafting exceedingly complex algorithms. That’s not all, though. So what’s possible moving forward? Making “Big Data” Work for Equality. As the recent PRISM program scandal in the United States highlighted, corporations and governments can gather information of any kind about us. Your emails, the foods you like, where you travel, and your shopping preferences are all examples of personal data that can be mined for profiling purposes. It’s ironic, then, that when discussing ethnic minorities or people with disabilities in Europe, “no data available” is a common excuse for not doing more to fight discrimination and inequality. The Open Society Foundations have grappled with this excuse far too frequently in our grantmaking, advocacy, and litigation work. Big Data and Discrimination.
On May 1, the White House released a 90 day review studying the effects of big data and privacy, led by Obama's Counsel, John Podesta. The review, which can be found here, and a summary of it, here, also focuses on big data’s potential for discrimination. Big data truly has enormous potential for social change and creative innovation. However, a key finding of the review is that big data analytics has the potential to lead to discriminatory outcomes and to evade and stymie hard-won civil rights protections in housing, employment, credit, and the consumer market.
How Big Data Could Undo Our Civil-Rights Laws. iStockPhoto Big Data will eradicate extreme world poverty by 2028, according to Bono, front man for the band U2. But it also allows unscrupulous marketers and financial institutions to prey on the poor. Big Data, collected from the neonatal monitors of premature babies, can detect subtle warning signs of infection, allowing doctors to intervene earlier and save lives. But it can also help a big-box store identify a pregnant teenager—and carelessly inform her parents by sending coupons for baby items to her home. News-mining algorithms might have been able to predict the Arab Spring. Until recently, debate about the role of metadata and algorithms in American politics focused narrowly on consumer privacy protections and Edward Snowden’s revelations about the National Security Agency (NSA). In the era of Big Data, the danger of reviving that legacy is real, especially as metadata collection renders legal protection of civil rights and liberties less enforceable.
Big-Data-A-Tool-for-Fighting-Discrimination-and-Empowering-Groups-FINAL.pdf. ADL Welcomes FBI Hate Crime Report on Statistics. New York, NY, December 10, 2012 … The Anti-Defamation League (ADL) today welcomed the decrease in hate crimes documented by the FBI's annual Hate Crime Statistics Act (HCSA) report. But the League said the number of reported hate crimes in America remains "far too many" and called on law enforcement and community leaders to make greater efforts to raise awareness of hate crimes and their impact on society.
The 2011 FBI report documented 6,222 hate crimes, a 6 percent decrease from 2010 figures and the lowest number of reported hate crimes since 1994. Barry Curtiss-Lusher, ADL National Chair, and Abraham H. Foxman, ADL National Director issued the following statement: We welcome the decrease in hate crimes reflected in the FBI's annual HCSA report, now the single most important snapshot of violent bigotry in America. Yet, 6,222 reported hate crimes – about one every 90 minutes of every day – is far too many. Civil Rights, Big Data, and Our Algorithmic Future. Civil Rights Principles for the Era of Big Data. Loading Technological progress should bring greater safety, economic opportunity, and convenience to everyone. And the collection of new types of data is essential for documenting persistent inequality and discrimination. At the same time, as new technologies allow companies and government to gain greater insight into our lives, it is vitally important that these technologies be designed and used in ways that respect the values of equal opportunity and equal justice.
We aim to: Stop High-Tech Profiling. Signatories: American Civil Liberties Union Asian Americans Advancing Justice — AAJC. Civil_Rights_Principles_for_the_Era_of_Big_Data_FINAL(1).pdf. Fighting discrimination — with big data. With great power comes great responsibility, government regulators have recently reminded players in the big data world. While big data and new technologies are transforming how Americans live, work and play, the data-driven revolution has also raised privacy and civil rights concerns. Next week, at the public workshop "Big Data: A Tool for Inclusion or Exclusion? ," the Federal Trade Commission (FTC) will explore one of big data's most important challenges head on. Both the White House and the FTC have raised concerns that big data — particularly when used to profile and classify individuals or make predictions about their behaviors — may enable discrimination and reinforce social stratification.
They are right to be concerned. The Commercial Use of Big Data Can Help Improve Equality. Entelo Diversity - Diversity Journal. Entelo Diversity is a groundbreaking new sourcing technology that helps companies find and hire top talent from underrepresented groups. It may just be the first search engine to allow recruiters to target talent with specific skills and expertise, who are also likely to be members of a specific gender or ethnic group. Entelo Diversity uses a proprietary algorithm to find candidates by sifting through social media profiles and other online data to gather clues about a candidate’s gender, ethnicity, or military experience.
It would be the first such statewide effort in the country, Dan O’Connell, director of the state Health Department’s AIDS Institute, said in an interview with Capital. Eight state agencies will soon begin collecting the self-reported, voluntary data on LGBT people who use their services. The agencies are: the Department of Health, Department of Corrections and Community Supervision, Office for the Aging, Office of Mental Health, Office of Alcohol and Substance Abuse Services, Office of Temporary and Disability Assistance, Office of Children and Family Services and Office for People with Developmental Disabilities.
“This is happening at a time when people are really rethinking LGBT rights,” O’Connell said. Barcelona presenta el Centro de Excelencia en Big Data. No hace falta ser matemático para ser experto en ‘big data’ Conclusions.