Disaggregating Peacekeeping Data: A new dataset on peacekeeping contributions

Jacob Kathman at the University of Buffalo has an article in the current issue of Conflict Management and Peace Science about his new dataset on the numbers and nationalities of all peacekeeper contributions by month since 1990.  This is a pretty fantastic undertaking since peacekeeping data is often difficult to find, and no small feat … Continue reading Disaggregating Peacekeeping Data: A new dataset on peacekeeping contributions

Unpacking P-values: Turning statistical significance into practical significance

I often get questions about the veracity of using statistics to understand conflict and political behavior, especially when using predictive or confirmatory analytic methods.  The questions are well founded, since a recent article found that potentially up to 54% of statistical results in the medical field are spurious.  This should give social scientists pause, since … Continue reading Unpacking P-values: Turning statistical significance into practical significance

Rob Baker: Managing risk in the open data and crowdsourcing space

Rob Baker, currently a Presidential Innovation Fellow with USAID, was willing to sit down with me earlier this year to discuss risk management and ethics in crowdsourcing in disaster and conflict-affected regions.  He's incredibly smart, insightful, and brings a deep technical expertise to the practice of crisis mapping and crowdsourcing given his many years of … Continue reading Rob Baker: Managing risk in the open data and crowdsourcing space

Unpacking PopTip: Real time polling is cool, but should I be convinced it’s “right”?

Rarely does a day pass when the team at the TechChange office misses an opportunity to say something like "hey data nerd, look at this and tell us what you think."  Often these requests are made unceremoniously on Twitter, forcing me to respond or risk what little confidence the public has vested in my intellectual … Continue reading Unpacking PopTip: Real time polling is cool, but should I be convinced it’s “right”?