[MINI] Data Provenance
Data Skeptic9 Jan 2015

[MINI] Data Provenance

This episode introduces a high level discussion on the topic of Data Provenance, with more MINI episodes to follow to get into specific topics. Thanks to listener Sara L who wrote in to point out the Data Skeptic Podcast has focused alot about using data to be skeptical, but not necessarily being skeptical of data.

Data Provenance is the concept of knowing the full origin of your dataset. Where did it come from? Who collected it? How as it collected? Does it combine independent sources or one singular source? What are the error bounds on the way it was measured? These are just some of the questions one should ask to understand their data. After all, if the antecedent of an argument is built on dubious grounds, the consequent of the argument is equally dubious.

For a more technical discussion than what we get into in this mini epiosode, I recommend A Survey of Data Provenance Techniques by authors Simmhan, Plale, and Gannon.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Sustainable Recommender Systems for Tourism

Sustainable Recommender Systems for Tourism

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates...

9 Okt 202538min

Interpretable Real Estate Recommendations

Interpretable Real Estate Recommendations

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpr...

22 Sep 202532min

Why Am I Seeing This?

Why Am I Seeing This?

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri ...

8 Sep 202549min

Eco-aware GNN Recommenders

Eco-aware GNN Recommenders

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks...

30 Aug 202544min

Networks and Recommender Systems

Networks and Recommender Systems

Kyle reveals the next season's topic will be "Recommender Systems".  Asaf shares insights on how network science contributes to the recommender system field.

17 Aug 202517min

Network of Past Guests Collaborations

Network of Past Guests Collaborations

Kyle and Asaf discuss a project in which we link former guests of the podcast based on their co-authorship of academic papers.

21 Juli 202534min

The Network Diversion Problem

The Network Diversion Problem

In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing...

6 Juli 202546min

Complex Dynamic in Networks

Complex Dynamic in Networks

In this episode, we learn why simply analyzing the structure of a network is not enough, and how the dynamics - the actual mechanisms of interaction between components - can drastically change how inf...

28 Juni 202556min

Populärt inom Vetenskap

p3-dystopia
dumma-manniskor
allt-du-velat-veta
kapitalet-en-podd-om-ekonomi
sexet
rss-ufobortom-rimligt-tvivel
rss-vetenskapsradion
medicinvetarna
det-morka-psyket
svd-nyhetsartiklar
rss-vetenskapsradion-2
halsorevolutionen
rss-spraket
bildningspodden
paranormalt-med-caroline-giertz
hacka-livet
barnpsykologerna
vetenskapsradion
rss-klotet
ideer-som-forandrar-varlden