rahulb | MIT Center for Civic Media

Recent blog posts by rahulb

UN Data Forum - Data Literacy: What, Why and How? (Live Blog)

This is a liveblog written by Rahul Bhargava at the 2017 UN World Data Forum.  This serves as a summary of what the speakers spoke about, not an exact recording.  With that in mind, any errors or omissions are likely my fault, not the speakers. 

Race, Fame, and Ability: untangling media coverage of NFL quarterbacks

In the US, NFL football is more than a sport - it’s a stage on which broader national dramas play out. In the past years, the NFL has brought to national attention conversations about domestic violence, about cheating and fairness and about the ethics of loving a sport that is likely killing its players. With Colin Kapernick’s decision not to stand for the singing of the national anthem during a pre-season football game, starting a wave of similar protests by athletes, a national debate about endemic racism in the US has now become a debate about race, protest, politics and NFL football.

Live Blog: If Everything is a Network… Nothing is a Network

This is a liveblog of a talk given at the Center for Civic Media by Mushon Zer-Aviv (@mushon).  Any errors or omissions are the fault of the authors - Rahul Bhargava and Catherine D'Ignazio.

Creating Workshops with Enough Time to Learn

Note to the reader: This post will probably only be interesting for you if you're a facilitator or educator.

One of my driving goals in data literacy workshops I facilitate is to create space to play.  I try to create that space by introducing fun materials, designing creative small group activities, introducing playful datasets, and more.  But a recent workshop by Cédric Lombion from School of Data at the Data Literacy Conference got me wondering: am I leaving enough time to learn?

Live Blog: Lets Get Physical

This is a liveblog of a talk at the 2016 Data Literacy Conference, hosted by Fing.  This was liveblogged by Rahul Bhargava and Catherine D'Ignazio.  These are our best attempt to record what the speak was talking about - any accuracy errors are our fault.

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