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The TARGET approach aims at establishing a reflexive gender equality policy in research performing and research funding organisations. Monitoring has enormous potential to support reflexivity at both the institutional and the individual levels in the gender equality plan (GEP) development and implementation context. To exploit this potential, the monitoring system has to consist of meaningful indicators, which adequately represent the complex construct of gender equality and refer to the concrete objectives and policies of the GEP. To achieve this, we propose an approach to indicator development that refers to a theory of change for the GEP and its policies. Indicator development thus becomes a reflexive endeavour and monitoring a living tool. This requires constant reflection on data gaps, validity of indicators and the further development of indicators. Furthermore, we recommend the creation of space for reflexivity to discuss monitoring results with the community of practice.

This paper investigates the causes of the gender gap in the labour market that cannot be explained by classical human capital theory.

To this end, the authors integrate the Gender Gap in the Labour Market Index (GGLMI), a composite index developed in previous research, with further information on some social aspects that could affect the female work commitment, directly or indirectly. In particular, the authors want to verify if family care and home duties, still strongly unbalanced against women, and the welfare system play a significant role in the gender gap.

Results highlight a very complex scenario, characterized by the persistence of gender inequalities everywhere, even if at different degrees, with very strong imbalances in the time spent at work in response to the family commitments.

The actual determinants of gender disparities in the labour market are very difficult to identify because of the lack of adequate data and the difficulties in measuring some factors determining female behaviour. The additional information used in this research can only partially accomplish this task.

However, for the first time, this paper uses information on different aspects and causes of the gender gap, including proxies of mainly unobservable aspects, in order to achieve at least partial measurement of this phenomenon.

Iraqi society has suffered from loss or fragility of human security since 2003. The developmental policies, programs and plans of the successive Iraqi Governments throughout the transitional period have not been able to achieve human security, despite the availability of different resources. They have also not prevented or limited the spread of corruption, according to domestic and international reports. Now the country faces a large phenomenon of corruption and the dilemma of human security loss. This study aims to ascertain the nature of the relationship between the phenomenon of corruption and the dilemma of loss or fragility of human security in Iraq since 2003 to learn about the form of this relationship, how the selected variables contribute to the two phenomena and determine the degree of impact of corruption and its dimensions on human security and its components.

This research uses the social survey methodology of the sample taken from the Iraqi society and benefits from system analysis approach to identify the inputs and outputs of the variables researched. Moreover, the study uses the case study methodology to collect data and information precisely in an in-depth manner to support qualitative and quantitative analysis and clarifies the situation at the macro level of both phenomena.

Findings show the prevalence of corruption structurally in the Iraqi state and society. The contribution of dimensions and selected indicators in the spread of corruption and lack of human security varies. Findings also underline a strong statistical correlation between the two variables and their reverse relationship. In other words, the more the corruption is, the less the opportunities of human security are. There is also a strong impact of corruption and its dimensions on the conditions of human security factors.

The paper provides profitable findings and recommendations, which can be used by the Iraqi relevant institutions to eliminate corruption, achieve human security and benefit from its indicators in research and development.

The new addition of this research can be represented by linking the two phenomena and trying to build national standards with the capacity to describe, interpret and predict.

Women’s empowerment remains a key development challenge in Kenya. The purpose of this study is to attempt to understand the status of women’s empowerment and the key contributors to their disempowerment in Kenya’s aquaculture sector.

A cross-sectional survey was conducted on 534 male and female fish farmers from 300 households drawn from six counties in Kenya (Kakamega, Kisumu, Kisii, Kiambu, Meru and Nyeri). The Abbreviated Women’s Empowerment in Agriculture Index (A-WEAI) was adapted to Abbreviated Women’s Empowerment in Fisheries and Aquaculture Index (A-WEFI) to suit the aquaculture and fisheries sub-sector. The adapted A-WEFI was then used to estimate and the status of women’s and men’s using five domains of empowerment (5DE) and a gender parity index (GPI). Data were analysed using descriptive statistics, Cramer’s V and sensitivity analysis as test statistics.

About 86% of the men and 80% of the women were classified as empowered. The mean score of the 5DE was 0.93 and 0.95 for women and men, respectively. In addition, 82% of the households achieved gender parity, suggesting that for such households, empowerment of men was no greater than that of women. Overall, the results suggest no major differences between the empowerment of women and men. Findings suggest areas of improvement in empowerment: when observed separately, women report lack of agency in production, resource, time-use and allocation and leadership.

This paper adapts the A-WEAI to the fisheries and aquaculture context, in bid to bridge the gap in standard women’s empowerment measurement methods in this area. Also, there are limited empirical studies on the multifaceted empowerment of women in aquaculture in Kenya. The findings are meant to serve as a point of reference for policymakers, as they develop gender-responsive intervention programmes, and in implementing gender mainstreaming in Kenya.

The purpose of this study is to explore the relationship between gender disparities in rural education attainments and agricultural landownership (ALO) in Sub-Sahara Africa with Sustainable Development Goal (SDG) perspective.

This study uses SDG indicators interactions and pairwise correlation analysis.

There is a significant negative association between gender disparities in rural education attainments and ALO in Sub-Sahara Africa. Such negative relationship is not influenced by national economic development and living standards.

The data is limited with 16 Sub-Sahara African countries, and as this is an early output of a number of follow-up studies in the author’s plan, the methodology is relatively simple.

Reducing gender disparity in rural Sub-Sahara Africa especially in ALO requires more integrated approaches which also address other aspects of sustainable development. This is particularly the situation because of the strong male-favored customary practices in rural Sub-Sahara Africa. The prioritization of different dimensions of sustainable development is also important in Sub-Sahara Africa.

Strong awareness of SDGs is important. Further efforts in collecting data for and use data of sustainable development, especially the SDGs, are essential. Emerging trend of studying the interactions across SDGs reflects the future direction of relevant fields.

This paper has high originality because it is an early-stage research in the SDG interactions in Sub-Sahara African countries with the perspective of gender, gender disparity, Sub-Sahara Africa, SDGs, ALO and rural education attainments. This paper has both academic and practical values because of its innovative research thoughts and policy-oriented implications.

Despite the longstanding male dominance in the socio-politico-economic spheres, recent decades have witnessed remarkable improvements in gender inclusion. Although the issue of gender inclusion has been widely documented, answers to the question of whether institutional arrangements and information technology shape gender inclusion remain contentious. This study, therefore, empirically examines the effects of institutional quality and ICT penetration on gender inclusion on a global scale.

To control for the endogeneity of modeled variables and cross-sectional dependence inherent with large panel datasets, the study employs the Driscoll-Kraay Fixed Effects (DKFE) and the system Generalised Method of Moments (GMM) estimators for a panel of 142 countries from 1996 to 2020.

The empirical findings from the DKFE and system GMM estimators reveal that strong institutions significantly enhance gender inclusion. Moreover, by disaggregating institutional quality into various governance indicators, we show that besides corruption control, which has a positive but insignificant effect on women’s empowerment, other governance indicators significantly enhance gender inclusion. Furthermore, there is evidence that various ICT measures promote gender inclusion.

The study results suggest that policymakers in developing countries should implement stringent measures to curb corruption. Moreover, policymakers in low-income countries should create avenues to facilitate women’s access to ICTs. Hence, policymakers in low-income countries should create and equip ICT training centers and render them accessible to all categories of women. Furthermore, developed countries with high-tech knowledge could help developing countries by organizing free training workshops and sensitization campaigns concerning the use of ICTs vis-à-vis women empowerment in various fields of life.

The present study fills a significant research gap by comprehensively exploring the nexuses between governance, ICT penetration, and the socio-politico-economic dimensions of gender inclusion from a global perspective. Besides the paucity of studies in this regard, the few existing studies have either been focused on region and country-specific case studies in developed or developing economies. Moreover, this study is timely, given the importance placed on gender inclusion (SDG5), quality of institutions (SDG16), and ICT penetration (SDG9) in the 2015–2030 global development agenda.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

Global drug policy has undergone significant change over the past decade, especially with the advent of the 2016 UN General Assembly Special Session (UNGASS) on drugs. This was a catalyst moment both in highlighting the need for a gender perspective in drug policy, and in initiating a review of the indicators used to evaluate progress in drug policy.

To date, the UN has not adequately tracked gender-specific data in drug policy. This is symptomatic of the lack of focus granted to the specific vulnerabilities and needs of women in the illicit drug trade. This has resulted in a knowledge and understanding gap in relation to the issues faced by women worldwide.

The importance of quantitative and qualitative data and analysis of how and why women are involved in the illicit drug trade, and how this relates to their age, ethnicity, socio-economic status, family situation and history of trauma, violence and mental illness cannot be understated. Without adequate indicators on the underlying factors of their engagement in the trade, the differentiated impacts that both drugs and drug policies have on their lives, and the vulnerabilities they may face, policy makers will be unable to design and implement drug policies that are truly effective.

This chapter provides a historic overview of how data on women has so far been tracked by the UN. The chapter will then look to the future, focussing on opportunities to identify more meaningful indicators within a revised Annual Reports Questionnaire, and also by leveraging the Sustainable Development Goals, UN human rights mechanisms and civil society research.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

The purpose of this paper is to discuss policy-relevant findings regarding strategies for mainstreaming gender in achieving sustainable post-disaster reconstruction (PDR).

An exploratory case study was used to explore the implementation of gender mainstreaming strategies and the link to sustainable PDR. The Bantul and Sleman regencies of Yogyakarta province provide a unique site for researching PDR as they are located in a region that is more strongly affected by earthquakes than nearly any other in Indonesia. Data were collected through interviews with 17 key stakeholders and 26 beneficiaries who were involved during and after the earthquake. To support the interview findings, surveys involving 50 policy makers and 150 beneficiaries were conducted. Content analysis and t-statistics were used in analyzing the data.

Gender mainstreaming strategies within sustainable reconstruction should incorporate strategies for protecting against gender vulnerabilities and for promoting gender capacities. Both are fundamental to the achievement of sustainable PDR.

The paper establishes comprehensive strategies for mainstreaming gender under three pillars (i.e. economic, social and environmental) of sustainable development. The findings benefit relevant policy makers by improving the policy performance of gender mainstreaming in the affected communities in enhancing sustainable PDR.