Mitvim: The Israeli Institute for Regional Foreign Policies
Abstract:
The 2017 annual conference of the Mitvim Institute was held on 1 November 2017 in Jerusalem, in cooperation with the Friedrich-Ebert-Stiftung. As part of the conference, a public panel was held on opportunities for Israel’s foreign relations towards 2018. It featured Helit Barel, Prof. Elie Podeh, Dr. Thabet Abu Rass, and Eran Etzion who spoke about issues related to the Iran nuclear deal, Israel-US relations, Israel in the Middle East, the involvement of Israel’s Arab citizens in foreign affairs, Israeli-European relations, and the status of the Israeli Ministry of Foreign Affairs (MFA).
Research suggests that states and societies around the world are increasingly confronted by climate-related security risks. These risks are unavoidably transnational in character, and intergovernmental organizations (IGOs) are instrumental in developing policy solutions and enhancing international cooperation. However, previous research highlights that knowledge about the conditions under which IGOs address climate security risks, and when they do so effectively, is incomplete. There is a need for further in-depth analysis of relevant IGOs in the field of climate security.
Multilateral peace operations are increasingly confronting a set of interrelated and mutually reinforcing security challenges that are relatively new to them, that do not respect borders, and that have causes and effects which cut right across the international security, peacebuilding and development agendas. As a result, the New Geopolitics of Peace Operations III: Non‑Traditional Security Challenges initiative seeks to enhance understanding about peace operations and non-traditional security challenges such as terrorism and violent extremism, irregular migration, piracy, organized crime and environmental degradation. As a part of this initiative, this SIPRI Background Paper explores the ‘non-traditional’ security challenges that organized crime presents to multilateral peace operations.
The United States remains committed to its role as a global leader on humanitarian issues and will continue seeking to avert crises that spawn the need for humanitarian aid, Deputy Secretary of State John Sullivan said.
Th e reaction of the Arab armies to the 2011 uprisings is a subject
that has been frequently examined, but the evolution and reform of
Arab armies is a neglected topic.2
In times of global interdependence,
the Atlantic Alliance must be ready to understand and interact with
a changing Middle East, since NATO Arab partners’ security is more
and more NATO’s security, in terms of shared objectives, common
threats and cooperative security. Arab armies have entered a new
era: traditional obstacles to military reform, mostly due to their
politicization, persist; other variables emerge from the interaction of
domestic, foreign and transnational threats.
Since the financial crisis, EU countries' economies have recovered to the point that they are exiting their adjustment programmes. Institutional stability mechanisms have been improved at the European level, with the promotion of the banking union and the establishment of a European Monetary Fund, for instance. However, the authors argue that such crisis contingencies should include markets in their risk-sharing, which would require better coordination with institutions.
Many datasets use experts to code latent quantities of interest. However, scholars have not explored either the factors affecting expert reliability or the degree to which these factors influence estimates of latent concepts. Here we systematically analyze potential correlates of expert reliability using six randomly selected variables from a cross-national panel dataset, V-Dem v8. The V-Dem project includes a diverse group of over 3,000 experts and uses an IRT model to incorporate variation in both expert reliability and scale perception into its data aggregation process. In the process, the IRT model produces an estimate of expert reliability, which affects the relative contribution of an expert to the model. We examine a variety of factors that could correlate with reliability, and find little evidence of theoretically-untenable bias due to expert characteristics. On the other hand, there is evidence that attentive and condent experts who have a basic contextual knowledge of the concept of democracy are more reliable.
Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, allow researchers to estimate a broad set of causal quantities, including contemporaneous and lagged treatment effects. Unfortunately, popular methods for TSCS data can only produce valid inferences for lagged effects under very strong assumptions. In this paper, we use potential outcomes to define causal quantities of interest in this settings and clarify how standard models like the autoregressive distributed lag model can produce biased estimates of these quantities due to post-treatment conditioning. We then describe two estimation strategies that avoid these post-treatment biases—inverse probability weighting and structural nested mean models—and show via simulations that they can outperform standard approaches in small sample settings. We illustrate these methods in a study of how welfare spending affects terrorism.