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New and Modified Gender-Sensitive Early Warning Indicators
Incidents involving women, men, boys, and girls that may be overlooked in existing early warning systems but could signal potential violence or conflict. IFES’ literature review found that, where gender was included in early warning systems, it was primarily focused on measuring gender-based violence. This approach led to the consideration of gender only as an outcome (dependent variable) of violence rather than a predictor of violence (independent variable). It is certainly important to monitor increases in gender-based violence (including conflict-related sexual violence), and this is included in this framework’s list of indicators; however, omitting other gender indicators risks discounting key factors that could enhance the prediction of violence. Attempts to restrict or rescind women’s political, social, economic, and legal rights should also be seen as potential precursors to violence and conflict, as should any public narrative aimed at cementing narrowly defined gender roles, as these point to an increase in exclusionary or discriminatory practices. It is equally important that gender-sensitive indicators capture changes in behavior among or incidents involving men and boys as gender norms are also driving their behavior and can contribute in some instances to young men joining armed groups9 or being persecuted for defying traditionally prescribed gender roles based on societal definitions of masculinity.10
It is important to distinguish between the dynamic indicators suggested in this framework and more structural gender inequality indicators such as rates of women’s political and workforce participation, literacy and maternal mortality. Structural indicators are important to monitor as part of longer-term conflict prevention, stabilization, and sustainable development efforts. These structural indicators tend to include more readily available (although often time-lagged) associated public data sets on a global level. However, unless there are extreme sudden changes in these structural indicators, they do not provide early warning analysts with sufficiently rapid-changing data that could signal an imminent outbreak or escalation of violence or conflict. For example, a national structural indicator such as “number of women in parliament” might only change whenever there is an election (generally every three to five years). Monitoring this structural indicator would not give early warning analysts who monitor daily, weekly, or monthly changes in an environment relevant information for their analysis. Indicators that monitor longer-term structural measures are still critical; in this framework, however, we have chosen to focus on more dynamic indicators. While the indicators in this framework focus on changes in behavior and incidents that might indicate upcoming violence or conflict, indicators that measure changing attitudes on gender equality and gender norms, when available, can serve as a bridge between dynamic indicators – which measure shorter-term changes – and more long-term structural indicators.
As there are different types of early warning systems with varying geographic scopes, purposes, and data collection methodologies, the proposed gender-sensitive indicators may need to be adapted to ensure their compatibility with specific early warning systems (acknowledging that not all the indicators will be suitable in every context). They have been drafted to maximize applicability to different early warning systems and violence monitoring efforts across varying regional and country contexts. There may be additional indicators beyond this list that reflect more context-specific metrics of changing attitudes, growing hostilities and volatility, or increased community radicalization or support for armed groups, which can be monitored through tracking behavior changes or incidents based on gender norms. Implementors can ensure the context-specific adaption of these indicators, their definitions, and data collection strategies by holding consultations with local women and civil society groups in advance of the monitoring period to identify how gender behaviors and incidents could be monitored in a safe and efficient way by local monitors or through existing monitoring efforts.
As well as having different geographic scopes, time horizons, and data collection strategies, early warning systems can have different categorizations of indicators. The grouping of these indicators may vary but tend to be categorized as: security and justice; politics and governance; human rights; health; and economic factors. For gender to be comprehensively integrated in early warning systems, at least one gender-sensitive indicator must be included in each of these categories, and these gender-sensitive indicators should be analyzed contemporaneously. It is unlikely that variances in only one gender-sensitive indicator would sufficiently point to a changing security environment within a community. However, if noticeable changes appeared across several of the gender-sensitive indicators – such as a rapid decrease in women’s freedom of mobility, a sudden decrease in their presence in common places, and their increased efforts to acquire cash – these sudden changes could be indicative of growing insecurity or impending violence or conflict and highlight the need for more careful analysis. Another example of a sudden change could be the closing of factories, which could lead to a sudden spike in male youth unemployment, then an increase in gatherings of young men at religious sites and an upsurge in hypermasculine propaganda. Changes in these gender behaviors and incidents involving women, men, girls, and boys could signal an impending uptick in violence or conflict.
The table below includes the new or modified gender-sensitive indicators, rationale for inclusion in this framework, considerations to inform development of indicator parameters for specific contexts, and suggested data collection strategies.
A step-by-step guide on how to integrate these indicators in early warning systems and violence monitoring efforts is provided in Section VII; however, when considering the table below, it is important to highlight that:
- The indicators should be tailored to the specific context and existing early warning system or violence monitoring effort prior to integration.
- The definitions and data collection strategies should be adapted to reflect the local context and supplemented with additional context-specific information to ensure indicators, definitions, and data collection strategies are feasible and contextually appropriate.
- The indicator table presents a menu of indicators so that implementors can choose ones most relevant to their local context. The expectation is not that every single indicator mentioned here will be integrated in an early warning system or monitoring effort.
- Baseline data needs to be recorded for each of the gender-sensitive indicators at the beginning of the monitoring period to provide analysts with comparative data.
- This table focuses on gender-sensitive indicators to monitor and does not make suggestions about responses to changes in that indicator. Existing early warning systems or violence monitoring efforts often already have specified actions to undertake in response to a sudden change in risk.
- Indicators marked with an asterisk (*) in the table were tested as part of the Nigeria pilot – and include more detail than others as a result. Future pilots and other efforts to integrate indicators beyond those piloted in Nigeria during this project will help provide additional lessons learned.
Gender-Sensitive Early Warning Indicators
While endnotes for the global framework can be found at the end of this document, endnotes for this table are found on page 28.
CATEGORY 1: Security and Justice
Indicator | Rationale for Indicator |
Definition Considerations |
Possible Data Collection Strategy |
---|---|---|---|
Percentage of individuals who are women present in designated common places* |
To monitor changes in women and girlsâ mobility and movement. A sudden change, particularly a sudden decrease, in women appearing in common areas they usually frequent could signal a fear of imminent violence, conflict or insecurity. |
Implementors will need to define âdesignated common places.â Considerations and suggested definitions to tailor to the "Designated common places" refers to locations in target states that are highly frequented by the public, such as markets, places of worship, locations for political events, public transportation, eateries, or places of leisure (e.g., parks or pools). These locations should be designated at the beginning of the monitoring period and should not change. For each location, the numerator will refer to the number of women present. The denominator will be the total number of people present at that location, generally ascertained by a rough count by the monitors. It is important to ensure the common place being monitored reflects local customs and norms. For example, in northern Nigeria, it is not the custom for women to go to markets, so monitoring their presence |
It is critical for monitors to visit common places for monitoring on the same day of the week and at the same time to keep external variables as consistent as possible.
|
Number of male gatherings and presence of non-local men |
Increases in all-male gatherings Supporters of some political Instances of male groups |
Implementors will need to Considerations and suggested Unusual gathering sizes may Non-local men can include |
Incident reporting forms should Primary sources could include |
TBD | IFES will fill the rest of the table out |
CATEGORY 2: Social Norms and Gender Equality
TBD
CATEGORY 3: Politics and Governance
TBD
CATEGORY 4: Economy
TBD
Table Endnotes
UN News, “Belarus Targets Women Human Rights Defenders After Disputed August Elections”, November 3, 2020. Available at: https://news.un.org/en/story/2020/11/1076822
Julia Steers, “Women Say They Are Being Raped as Part of the President’s Fight to Keep Power”, Time, January 14, 2016. Available at: https://time.com/4179101/rape-burundi/https://time.com/4179101/rape-burundi/
TBD - IFES team to add the rest