New Tech Data as Court Evidence?

Or why judges are as cautious as the Amish when it comes to admissable evidence “Sharing a Ride” by Forsaken Fotos is licensed under CC BY 2.0 This is my reaction to material we discussed in my CMGT530 class at Annenberg: Social Dynamics of Communication Technology. The material was Czitrom (Czitrom, 1982) and the film […]

Image Processing in The Age of Surveillance

TL:DR How three forces: the explosion of individual images available online, theaccelerating data science capabilities of image processing, and pressure on individual rights and freedoms impact the use of image recognition in surveillance in crime prevention and criminal prosecution. Covers the potential risks of reliance on this kind of visual evidence, and recommendations to reduce […]

Eradicating Racial Differences in Prostate Cancer Outcomes

Dedicated in loving memory of Calvin Harris Snr A report written as part of my Masters of Communication Data Science at University of Southern California in Fall 2018. Abstract Racial disparities in health care outcomes contribute to African Americans (AA) men living ten years less on average than a white American (Rosenberg, Ranapurwala, Townes, & […]

Professional Ethics in contemporary Data Science practice

Executive Summary This paper will discuss accountability, ethics and professionalism in data science (DS) practice, considering the demands and challenges practitioners face. Dramatic increases in the volume of data captured from people and things, and the ability to process it places Data Scientists in high demand. Business executives hold high hopes for the new and […]

Anthropomorphising the algorithm

Leading on from my last blog post conclusion that holding algorithms accountable is a bit of a daft idea, I want to thank Richard Nota for this wonderful comment on The Conversation article posted by Andrew Waites in our slack channel Richard Nota The ethics is about the people that oversee the design and programming […]

About algorithms being black boxes

For 36111 Philosophies of Data Science Practices’ first assignment, I am exploring the emerging practice of holding algorithms accountable. Often, people refer to algorithms as black boxes. There are three different definitions of a black box, according to merriam webster: Definition of black box 1 :a usually complicated electronic device whose internal mechanism is usually […]

Data Science Ethics: my initial thoughts

I had two main thoughts about this: self regulation by the data science profession, and data literacy. The promise of big data and artificial intelligence is at an all time high, but by no means at its peak. The availability of data to mine is growing exponentially. And yet the data science community is still relatively […]

According to Mark Zuckerberg, Facebook is not a media company

According to Mark Zuckerberg, CEO , Facebook, the world’s largest social media platform[i] is not a media company[ii]. Zuckerberg explained in August 2016: “No, we are a tech company, not a media company…..We build the tools, we do not produce any content..”[iii] One of those tools is the Facebook News Feed, which provides every one […]

Is there a sexist data crisis? Hardly a crisis, but still important to resolve

In our session on Tuesday Simon K, as an aside, suggested we google “is there a sexist data crisis. “ I did, (here is a BBC article with that exact title http://www.bbc.com/news/magazine-36314061) but it got me thinking, this is hardly a crisis and hardly new. Women are underrepresented in many important things. For example, did […]

Missing data codification OR how to capture that slap across the face

Last week we read about missing data and how to plan for it. I found it super useful and applicable to our Quantified Self work- if we had codified our missing data I would have had less chasing up to do, and we would have had some insights into the boundaries of what we were […]