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Privacy, Data Sharing, and Data Security Policies of Women’s mHealth Apps: Scoping Review and Content Analysis
Here the mastermind is my friend Najd, not me. Kudos to Najd! Everyone’s using these mHealth apps, right? To check your sleep, to do your exercises, to track your menstrual cycle, and what not. It’s a wealth of personal sensitive data – they’ll manage them good, right? Wrong. Oh, so, so wrong. Long story short:…
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Telegram Social Listening: a mixed-methods approach@IBME ReCo
No slides this time – it’s some sort of experiment. For this presentation of our Telegram paper I decided to go old school, preparing a handout instead than a deck, and focussing more on the storyline. Yup there’s data to show, but showing data can be done even without powerpoint, innit? The handout is loaded…
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TopicTracker: a Python pipeline to search, download and explore PubMed entries
This is cool stuff – have you ever lost hours tracking down papers on this or that very specific topic? Ever wanted an easy peasy way to simplify your life? Wander no more, ’cause this is genuine wonder. One ring to rule them all. This sw lets you run queries, get entries, NLP content. It…
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Concerns Around Opposition to the Green Pass in Italy: Social Listening Analysis by Using a Mixed Methods Approach
What’s the opposite of active social listening? Well, you write it ‘passive social listening’, but you read it ‘spying on people’. Is it doable? Yes. Is it ethical? Meh. This little friday project explores the possibilities, the impact, and the ethical implications of mixed-methods passive social listening of no-green-pass groups. The methods are cool, but…
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Data sharing is the future. With a FAIR database of individual patient experiences@DI
Slides presented at the DIPEx International Meeting 2021(b) DIPEx is a database of individual patient experiences. But what kind of database do we run it on? i.e.: how do we organize these data so that they stay FAIR (findable, accessible, interoperable and reusable) for as long as possible, for both people and machines? Here are…
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A Novel Risk and Crisis Communication Platform to Bridge the Gap Between Policy Makers and the Public in the Context of the COVID-19 Crisis (PubliCo): Protocol for a Mixed Methods Study
Here we invented something new, useful, and cool. Nice combination, I like it. Let’s say there’s a public health emergency of some sort. Let’s say you are a policy maker, a ministry man, or some other cool person wearing cool suits or tailleurs and having to make choices, sometimes hard choices. How useful would it…
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Nerd approaches to scientific literature@IBME ReCo
This is a long but incredibly useful presentation. I’ve put it together for the course on publications and academic writing the IBME offers to its PhD students, trying to explain some of the black magic I do to reduce to the minimum the time I have to dedicate to reading heaps of papers, trying to…
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The TSL machine: parser, lemma analysis, sentiment analysis and autocoding for Telegram chats
Have you read the ‘passive social listening’ paper? Well, this is the sw I developed for that study. Feel free to use it (conscientiously). With great power comes great responsibility. The purpose of this tool is performing NLP analysis on Telegram chats. Telegram chats can be exported as .json files from the official client, Telegram…
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«What is really important? What matters for real?» An international study on COVID-19 patient’s experiences Status update and future perspectives@DI
Slides presented at the DIPEx International Meeting 2021(a) Global events happen (also) locally. So what’s the right perspective to understand them? Cultures shape the interpretation of phenomena. So how can we build a common analytical framework? Diversity is richness. So how can we preserve it, but keep the analysis manageable?
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Lemmas and Named Entities analysis in major media outlets regarding Switzerland and Covid-19
What was on the media in Switzerland during the beginning of the COVID-19 pandemic? What were they talking about, money or ICU beds? Well, if you want to find the answer, it’s in this dataset, waiting to be dug out. Help yourself! This dataset, generated with an ad-hoc parser and NLP pipeline, analyzes the frequency of lemmas…
