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This paper aims to demonstrate that computing social issues courses are often being taught by articulating the social impacts of different computer technologies and then applying moral theories to those impacts. It then argues that that approach has a number of serious drawbacks.

A bibliometric analysis of ETHICOMP papers is carried out. Papers from early in the history of ETHICOMP are compared to recent years, so as to determine if papers are more or less focused on social scientific examinations of issues or on ethical evaluations of impacts of technology. The literature is examined to argue the drawbacks of the impact approach.

Over time, ETHICOMP papers have moved away from social scientific examinations of computing to more philosophic and ethical evaluations of perceived impacts of computing. The impact approach has a number of drawbacks. First, it is based on a technological deterministic style of social explanation that has been in disrepute in the academic social sciences for decades. Second, it uses an algorithmic approach to ethics that simplifies the social complexity and uncertainty that is the reality of socio-technological change.

The methodology used in this paper is limited in several ways. The bibliometric analysis only examined five years of ETHICOMP papers, while the literature review focused on published computing education research. It is possible that neither of these forms of evidence reflects actual common teaching practice.

It is hoped that the arguments in this paper will convince teaching practitioners to modify the way they are teaching computing social issues courses: that is, the authors hope to convince educators to add more focus on the social context of computing.

The use of bibliometric analysis in this area is unique. The paper’s argument is perhaps unusual as well.

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the Mongolian Plateau when the mean global warming is well below 2°C or limited to 1.5°C.

In total, 30 model simulations of consecutive temperature and precipitation days from Coupled Model Inter-comparison Project Phase 5 (CMIP5) are assessed in comparison with the 111 meteorological monitoring stations from 1961–2005. Multi-model ensemble and model relative error were used to evaluate the performance of CMIP5 models. Slope and the Mann–Kendall test were used to analyze the magnitude of the trends and evaluate the significance of trends of snow depth (SD) from 1981 to 2014 in the Mongolian Plateau.

Some models perform well, even better than the majority (80%) of the models over the Mongolian Plateau, particularly HadGEM2-CC, CMCC-CM, BNU-ESM and GFDL-ESM2M, which simulate best in consecutive dry days (CDD), consecutive wet days (CWD), cold spell duration indicator (CSDI) and warm spell duration indicator (WSDI), respectively. Emphasis zones of WSDI on SD were deeply analysed in the 1.5 and 2 °C global warming period above pre-industrial conditions, because it alone has a significant negative relation with SD among the four indices. It is warmer than before in the Mongolian Plateau, particularly in the southern part of the Mongolian Plateau, indicating less SD.

Providing climate extremes and SD data sets with different spatial-temporal scales over the Mongolian Plateau. Zoning SD potential risk areas and proposing adaptations to promote regional sustainable development.