Accountability for Development Cooperation Under the 2030 Agenda

What is the contribution of development cooperation to the 2030 Agenda, and how can accountability for that contribution be ensured? For the policy field of development cooperation, the 2030 Agenda for Sustainable Development means fundamental change that necessitates adjustments to established principles, in particular "mutual accountability", by which two partners agree to be held responsible for the commitments they voluntarily made. The accountability framework for the 2030 Agenda evolves in parallel to the changes in the development cooperation policy field, and there are lessons to be learned. In order for the High-level Political Forum (HLPF) to emerge as the locus of "global accountability", the entry points, channels and feedback loops for the inputs from various stakeholders require further specification. The danger that development cooperation stakeholders do not follow through with their commitments, and are not held accountable, makes exploring accountability crucial

Wie soll Entwicklungszusammenarbeit gestaltet werden? : die Globale Partnerschaft und das Development Cooperation Forum

Ett examensarbete i Arkitektur om en ny moské i Umeå som en del av den nya översiktsplanen för stadsdelen Ö

Non-standard neutrino interactions in IceCube

Non-standard neutrino interactions (NSI) may arise in various types of new physics. Their existence would change the potential that atmospheric neutrinos encounter when traversing Earth matter and hence alter their oscillation behavior. This imprint on coherent neutrino forward scattering can be probed using high-statistics neutrino experiments such as IceCube and its low-energy extension, DeepCore. Both provide extensive data samples that include all neutrino flavors, with oscillation baselines between tens of kilometers and the diameter of the Earth. DeepCore event energies reach from a few GeV up to the order of 100 GeV - which marks the lower threshold for higher energy IceCube atmospheric samples, ranging up to 10 TeV. In DeepCore data, the large sample size and energy range allow us to consider not only flavor-violating and flavor-nonuniversal NSI in the μ−τ sector, but also those involving electron flavor. The effective parameterization used in our analyses is independent of the underlying model and the new physics mass scale. In this way, competitive limits on several NSI parameters have been set in the past. The 8 years of data available now result in significantly improved sensitivities. This improvement stems not only from the increase in statistics but also from substantial improvement in the treatment of systematic uncertainties, background rejection and event reconstruction