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Techniques for characterising Data Sparse Environments: A Freetown Peninsula Case Study

Posted: Oct, 15, 2019

By: Pelagie Elimbi ...

The advent of the Big data exploitation has led to an increased focus on data-driven decision making. These changes have created giant leaps in technology for  different sectors including health care, supply chains, agriculture,online retailing among others.

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“Hey Siri”: An adventure in understanding how our digital assistants hear us

Posted: Oct, 08, 2019

By: Emily Grabowski

Last year, some friends discovered that I didn’t use the digital assistant on my phone, very often. This seemed counterintuitive, given that I am a linguist interested specifically in speech, including speech recognition. So, as an exercise, I reactivated my “Hey Siri” feature and said “Hey Siri” a handful of times into my microphone when prompted. I have since embarked on my journey to talk to a rectangular piece of plastic and glass, with varying degrees of success.

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Big Data and Patent Analytics

Posted: Oct, 01, 2019

By: Su Li

Big data has been a buzz word for a few years and the trend of its expansion into other fields is by no means slowing down. As always, where there is a “gold rush” of a new concept lawyers do not fall very far behind, even if it is about numbers—something lawyers do not particularly claim a forte in. 

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CTAWG - guiding principles

Posted: Sep, 24, 2019

By: Ilya Akdemir

In this short blogpost I will sketch out my perspective on the principles which I believe underpin the Computational Text Analysis Working Group (CTAWG) here at D-Lab. As the composition of CTAWG will inevitably change over time, I have come to the realization that a statement on the working group's objectives and guiding principles is necessary for the preservation of institutional memory.

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The use of Artificial Intelligence in a ‘Woke’ Society

Posted: Sep, 17, 2019

By: Maria Smith

In November 2018, more than 20,000 Google employees staged a collaborative walkout after the New York Times reported that the company protected three executives accused of sexual harassment[1].  While the focus of this blog has little do with labor rights or sexual harassment, mobilization of this magnitude does highlight another problem in the technology industry—its history of exclusion.  The industry’s uncontended ‘bro culture’ is not only imploding in the workplace, it is directly linked to the ethical problems concerning algorithmic discrimination.

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Hate that defines us

Posted: May, 06, 2019

By: Simal Ozen Irmak

In 2018, according to a survey conducted on behalf of the Anti-defamation League, 53% of Americans experienced some form of online hate speech.

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Collaborative & Reproducible Research as a (Semi) Independent Researcher

Posted: Apr, 30, 2019

By: Ijeamaka Anyene

As I started graduate school, I received the opportunity to become part of a research group working on the prevention of mother-to-child transmission of HIV. Quickly I discovered that being part of a research group requires a lot of independent research. But that independent research is not quite so independent. Instead my main collaborator when it came to code review and continuation of work, was myself. However, it was not myself at the time the analysis was conducted, it was myself two weeks later trying to build on my previous work.

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Working with Data to Explore Transportation and Society

Posted: Apr, 23, 2019

By: Sergio Castella...

One of the great things about the D-Lab is the ability to engage with students and researchers from different backgrounds and learn from their approaches to doing research and answering interesting questions.  A project I’m quite excited in growing with the D-Lab community to include broader perspectives is one related to transportation in cities.

 

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Integrating Law & Data Science in Teaching

Posted: Apr, 16, 2019

By: Aniket Kesari

Data, Prediction and Law is an innovative course  that has been offered by the Berkeley Legal Studies undergraduate program for the past two years. This is one example of the Data Science Education Program’s “data-enabled courses” that build on concepts introduced in Data 8: Foundations of Data Science and other core courses.

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Learning, teaching then some more learning

Posted: Apr, 09, 2019

By: Pelagie Elimbi ...

Docendo discimus ( "by teaching, we learn") is an old latin proverb that expresses an important philosophy about the learning process. The Dlab is one of the few communities that I have found at UC Berkeley that  fully embodies and champions this way of thinking. 

 

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