Today, however, such "physical courage", as it is called, tends to be depreciated in favor of "moral courage", defined by Sidgwick as a readiness to “face the pains and dangers of social disapproval in the performance of what one believes to be one’s duty”.

Why did this shift occur, and what is its significance for the future of courage? These were the questions Skidelsky addressed in his talk.

Edward Skidelsky, University of Exeter, co-author of How Much is Enough? Money and the Good Life.

Commentator: Aner Barzilay, independent researcher and Visiting Fellow at the IWM.

Introduction: Ludger Hagedorn, Permanent Fellow at the IWM.

Jonathan Simon (UC Berkeley, Professor of Criminal Justice Law)

Algorithms – and the actors behind them – are surveying and impacting ever more dimensions of our modern lives. They recommend which movies to watch; they calculate risk-appropriate credit scores; and they play a role in meting out “just” punishment; to only name a few areas. At the same time, they correct imperfect human decisions and add new informational dimensions to decisions prior impossible. To assess and evaluate the impeding transformations of normative orders in a predictive society, we approach algorithms in light of the juxtaposition of trust and control. Why and under which conditions do – or don’t – we trust algorithms? Indeed, can and should we trust them? Especially because their algorithmic normativity was (not) produced in justificatory fora where trust is brought about in and through social conflicts? But then, how much trust – if any – should algorithms put into us as citizens? For example, do they have to presume us non-dangerous and harmless? Vice versa, how much control do we need to retain over algorithms? And how much control should they exert over us? Can we use algorithms to control the effect of algorithms and thus create a meta-level of trust? Especially in order to negate, or as a matter of fact: to entertain, the freedom to deviate in the algorithmic society? These are but a few of the questions that internationally renowned speakers raise in “Algorithms between Trust and Control”, a lecture series convened by Indra Spiecker gen. Döhmann and Christoph Burchard, and co-organized by the research clusters ConTrust, Normative Orders and ZEVEDI in the line of the Frankfurt Talks on Information Law and under the auspices of Goethe University Frankfurt am Main.

The 17 Sustainable Development Goals are defined in a list of 169 SDG Targets. Progress towards these Targets is agreed to be tracked by 232 unique Indicators. Here is the full list of definitions. This new version of our SDG-Tracker was launched on 28th June 2018. We will keep this up-to-date with the most recent data and SDG developments through to the end of the 2030 Agenda. For many Indicators data is available, but major data gaps remain. If you are aware of high-quality data we have yet to include please notify us. We hope that this collaborative approach allows us to support the United Nations in developing the most complete and up-to-date sources for tracking global progress to 2030.