 So good afternoon, everyone. Welcome to the first session for day one. So this is in fact the first parallel session of the DHS2 annual conference 2023. And we have a very special parallel session today. First time we are having this session on DHS2 academies and this session is on equity and inclusion. So we have two of us facilitating this special session today. I'm Pamod Damarokon representing the HISP Center at UIO as well as HISP Sri Lanka. And I'm Marta Vila also representing the HISP Center. Right. So before we start, we have a few things to inform you some housekeeping rules. So please be mindful. I think probably you may have already realized that the chairs that we have on the auditorium can be a little bit noisy if you stood up just all of a sudden. So be mindful of that. So this session we will have for one hour. And in that we will have three presenters presenting us on site here as well as virtually. And we will also have a question and answer session as soon as one presenter finishes his presentation. So what we will do is to briefly introduce you some concepts. It'll take one or two minutes and then we'll hear all these fascinating things that we have to listen now from all the three presenters representing different parts of the world. Right. So the two terms equity and inclusion. So equity refers to the fairness and justice in the distribution of resources opportunities and the outcomes. And we have another term, which is inclusion. So it doesn't mean the same. So inclusion tries to create a sense of belonging and ensure that all the individuals have equal access and participation. Both equity and inclusion are quite crucial for building a diverse and thriving society that we try to achieve. So DHS to being a digital tool, the final outcome of we all trying to implement DHS to is to do something good for the society that we live in. And that's what we try to achieve. So the main objectives why we decided to have this very special session is to understand how DHS to has contributed to ensuring equity and inclusion in countries. So that basically means like DHS to we have so many different use cases and how they're trying to ensure equity across all the implementing scenarios. And then also to ensure how equity and inclusion is established in the community so the community can be us as in like not only the countries that we live in us as also mean like we all the DHS to community. So to do that, we have three exciting presentations. So we're going to start with, as Pamela said, we are looking at equity and inclusion from two angles. DHS to out how to reach the population, but then also inside ourselves. So the first two, the first one is about the utilization of DHS to track for child protection services in Malawi. This is a very interesting case that will open the session and then we have. Yeah, the second one is on analyzing geographically visualizing all the deliveries that are taking place outside of health care institutions in Sri Lanka. So this will be done by Nipun. So we will hear like how tracking all these deliveries which happen outside of the health sector is is an interesting case of inclusion. The third one is the women in DHS to addressing and the representation of women in the community. We are very excited to have this abstract presented because it's the first time that this topic is brought into a session in our in our conference. So let's let's listen what Sharon and Miriam has to tell us from Uganda. And let's see how can we discuss after. So I think we start with the first presenters. Thank you. Yeah, so with this we are we are privileged to have to present to presenters one presenting here on site and one virtually on utilization of DHS to tracker in implementation of child protection services in Malawi. So we have blessings here will be presenting on site. Yeah, please come forward and they did this they're joining us online. I told you. Yeah, I hope I was. So it is over to you please. Thank you. All right, thank you. Apologies I didn't get the first part of the. His presentation but as I'm Edith to number from Minister of Gender and his blessings from Minister of Health. We are presenting how we allow utilizes DHS to tracker in implementation of child protection services. So our study is based on a premise that investment in human capital through health nutrition education helps people to acquire skills that can help them to be to utilize them in future. So as an introduction Malawi has a population of 19 million and 51% of the population. Thank you. Okay, yes. Thank you. So Malawi has a population of 19 million and 51% of the population is made of people less than 18 years old, which are children. So because of that strengthening child protection is critical to promoting child protection then development that can help in attainment of human capital. Now in Malawi there's several categories of child vulnerability ranging from poverty, poor health and nutrition abuse violence neglect and exploitation and displacement that in usually happened during disaster settings. Now, according to a violence against children study in 2013, about half of girls and two thirds of boys have experienced physical violence. And again a quarter of girls and a few boys have experienced emotional violence while a few girls and a seventh of boys have experienced sexual abuse. So, next slide please. Thank you. Now, because of all these issues, the Ministry of Gender, Community Development and Social Welfare has an integrated information management system and it's within the system that has the National Child Protection Information Management System. So the system was developed in 2016 and the objective was to capture information on child vulnerability. This is for the data to be used in decision making and also to provide services that can go to children. At the end of the day we want all the children to have the opportunity to grow their human capital potential. Now since 2016, we can say that the system is not fully functional. It's only covered in 57% of the country. The system also has several challenges that makes it a bit expensive to maintain. And also we only use the system by the government, so other stakeholders outside the government are not using the system, which means it's not covering and getting reports from all the stakeholders and we can't have an actual picture of what is really going on when it comes to children. So because of that, we came up with a meeting with all the stakeholders in child protection system. So through the meeting we reviewed the systems that each and every stakeholder has used and from them we made a decision to migrate our child protection information management system to DHIS2 tracker. So we chose DHIS2 tracker because of how indelible it was and even the price. So at the end of the day we wanted to make sure that quality and timely information is captured, both using or flying data collection tools or even online. And also that would reduce the cost and also all the stakeholders will be able to collect data on children. Now, this data just shows the data that is available. That was piloted in the two districts. Now this data was mostly linked towards HIV and AIDS. That's why you see most of the data is on children with an HIV positive caregiver. That is with the 6% then we have 33% of data on children and adolescents living with HIV. 7% of the data is for children exposed, infants exposed to HIV. And then we have 0.4% survivors of sexual violence and 4% of female child sex care workers. So this is an overview of the data that is available in the two districts that are piloted. But what we are working towards is to include more indicators on children. So our revised system will be capturing the following categories. So capture health status. The first one was only focused on HIV and AIDS. But this one will have several categories including other chronic illnesses and also disabilities. We also want to capture education status because most of our vulnerability in Malawi is also linked to poor attendance of schools or even dropouts. We would also want to cover details of survivors and caregivers because some interventions will be linked to the families while other interventions will be linked to the survivors. And the type of vulnerability we want to capture several categories including children exposed to violence and abuse and neglects, exploitation, children in child-headed households, children who are in the streets, children in disaster settings. We've had issues recently, two months ago, where it hit with a cyclone, Cyclone Freddy. But we weren't able to adequately capture the details of the children because we didn't have a very dependable information management system. We also want to capture that. We also want to capture children in child marriages. And we want to be able to link it to the services that are to go back to their normal lives and be able to acquire investments in human capital. When it comes to our roadmap, we've so far had an initial stakeholder meeting. This is where we agreed to come up with this system. When we're done with this part, we reviewed the data tools. As I already said, we want all the stakeholders dealing with child protection issues to be able to use this system. So we were harmonizing our data collection tools. And with that, we developed the faced prototype. We used a model from Zimbabwe, but we are going to change it to feed our country. So from there, we are in the process of developing the system, configuring the system. We'll use a consultant to configure, taste the system. Then we'll pilot it to a few districts. We'll start with 10 out of 28, then we'll go to other districts. But by September, we want to be able to pilot the first 10 districts. This project will be supported by several partners. So for now we've mapped out Plan International, World Vision, Bantuana, USAID, Save the Children, UNICEF, and most importantly the Government of Malawi. But we are still in the mapping process. We'll be able to identify more partners because we want this database to be inclusive throughout the country. And at the end of the day, we want children to be protected and that the welfare is promoted and they acquire the best human capital investment that the country has to offer. Thank you for your attention. So thank you so much Malawi team for presenting us this very interesting case. Do we have any questions for the team from the audience? Yes, please go ahead. Okay, thank you very much for this presentation. I just have a question. Looking at the statistic, one over five girls are sexual abused. And this is quite, quite a statistic that make me think of the policy in terms of sexual abuse in your country in Mozambique. And is this the ability in Mozambique, I mean, is it easy in Mozambique to have something like drugs, the circulation of drugs in your country? I don't know something that caused that high data in terms of sexual violence. So I'm quite, I have to want to know really what's happened in this country to have this high level. Thank you. Yes. Blessings. You want to answer? Yeah, I'll pick that up and I think Edith can add to that. I think if you can get closer to the microphone. Okay. I don't know if you have more questions. I think we can answer this one and then we'll go for the, yeah. Yeah, thanks a lot for the question. So it's not Mozambique, it's Malawi. Yeah, thank you. Yeah, so we do have some legislations that guides against the use of drugs and substance abuse. But mostly the high levels, there are several other factors that contribute to that ranging from the education levels and some other social factors. Yeah. Edith, anything to add? Yes, I just wanted to highlight more on the social factors. So we are still working towards addressing negative social norms. So these social norms are mostly linked to early child marriages and because we are going against ending child marriages. So any marriage with a child is also considered as a sexual violence. That's why you're seeing most of this, but we are addressing this. We have child related laws against child and sexual abuse, which are being advocated for. So I think we are working towards increasing information with regards to child protection and child related rights. Thank you. Okay, thank you for a very interesting presentation. I was wondering more how you use DHIS to in following up these children. So you have of course the statistics of what kind of situations they are in. But can you say also a little bit more how you use the system to follow each single child, like what kind of actors are involved in the system using it in their work to help the children? All right, thank you. So we I think we as mentioned in the next slide also link the data of the children to the services that are being provided. So if we so our data is collected at community level using child protection workers. So these once they collect the data, they will enter in the system and will be able to track if there's an issue of violence against children will be able to see if the child was given psychosocial support. If the child is being neglected or they have lost parents will be able to check under the services provided if they've been linked to alternative care institutions. Or if the children are maybe being abused will be able to see if the perpetrators have been persecuted. So we mostly use the services that are offered to link to see how if how long is taking for the services to be reaching the children. And if the cases are being completed or they are maybe they may be ignored. So with that we will be able to check which of the areas are that big of a problem like demographically which districts or which regions have the issues where cases are not being resolved in time. And we can be able to address that maybe through services or personnel or capacity building. Right. Thank you so much. Blessings and needed. I think we need to move to the second presentation. So thanks again. Right. So next we have Dr. Nipun Dasanayaka from Sri Lanka presenting us on their work around tracking out of hospital deliveries in Sri Lanka. Let's listen to him to understand why out of hospital delivery since Sri Lanka is a main issue related to equity and inclusion and how they have used DHS to to address that. Over to you, Nipun. Hi, I'm Nipun Dasanayaka from Family Health Bureau, Ministry of Sri Lanka. So I'm going to present our case where we are capturing the deliveries outside the institution health institutions happening in Sri Lanka. So give an idea about the situation in Sri Lanka. Almost all deliveries take place in health institutions around 99% out of that 99.94% are happening under the care of a consultant. So but there are around yearly around 200 to 250 deliveries that take place outside the health care institutions and these deliveries has risk for the mother and the baby. And because these deliveries are done mostly by untrained persons. So there is a risk for mothers and babies and as a country we promote all deliveries to happen in the health care institutions. So for these 200 to 250 cases there may be we are suspecting there may be cultural and there may be geographical related courses that they that prevent them going into health care institution rather than going into a health care institution. So we have we have to look into the research and understand why these things why these deliveries happen outside of the health care institution that was our need. And practically we are undertaking this we are conducting investigation into these incidents by our medical officers. So we thought of getting this data into a system and using DHIS to at a platform and to analyze this. So to give some background we are Family Health Bureau which is the National Focal Agency for Maternal and Child Care. And as I said there was practice to investigate those deliveries. What we did was we were we are having a very well established DHIS to platform which is electronic reproductive health management information system. It is very robust and the numbers it is we are using it very well. So we thought of incorporating this into our system to capture these investigation results into the DHIS to show we can analyze and see the geographical locations clearly. And our objective in this endeavor was capture the geographical locations and relevant details of all deliveries that are taking place outside the health care institution. So we can see what are the causes that prevent them going into a institutional delivery an institution for a delivery. So we can actively seek out and resolve those issues. They may be cultural, they may be geographical. We need to first extract what are the reasons. So what we planned was we will go to this. First in Sri Lanka there are provinces and provinces there are districts. Each district is separated into different smaller geographical areas. These are called Medical Office of Health Officers. So each emoji as it is being divided into PHM areas. PHM areas are the smaller self-providing areas and the emoji is the medical officer who is in charge of this area. There may be one or two medical officers for each emoji area. So going back. So the Medical Office of Health of that area is responsible for field health care in that area. So what they have been, they are instructed to go to that household and do an investigation and see why these deliveries happen in that household or on the way. So at that visit we have asked them to capture the coordinates of that location, that house, into that form. So they go to the house and fill the form at that home. They go with their team and they investigate it and fill the paper format and they enter it into the AHMS to assist. So this we talked about. So these are some, we started this project around April this year. After that they have around 25 to 50 deliveries out, happening homes and out of that around 50% of the data is entered into our system. These are some maps, use data that we have captured. So one of the main uses we use cases is the geographical location. We want to see the geographical location of the household so that we could, one thing is we could see the clusters clearly. If it is happening in a separate area more deliveries are happening in an area as clusters. We can identify that area, see what are the cultural barriers that are giving rise to such deliveries and are there any geographical reason for these deliveries happening at home. So we thought that having a map would be, you know, it will give us a better idea of what are the, look at the reasons. So this is, so if we zoom in to a case, as you can see, this delivery happens very close by to a major road. So this case may not have a transport issue because this is a main road and it is very nearby to the main road and there's a public transport available. So there may be different reasons for home delivery in such cases, but still there can be home deliveries happening at mid-time where public transport is not there. But looking at the geographic location and zooming in, we can see, rule out some things, some conditions that may not be the case. So the lessons learned. So we were able to detail analysis because we have, we, when we introduced this form into DHS2, we went through it again. We made it more analyzable and more friendly for DHS2 data entry. When we convert it from a paper-based, the paper-based one was not analyzed as, it was analyzed, paper-based cases analyzed case by case. But by using DHS2, we can analyze them as, see what are the causes that may have more common. And this is still in the starting phase. So we are looking forward to extracting new details of cultural areas, cultural or illegal trends that can be affecting these home deliveries. So for that we have to identify clusters. So we are thinking that the geographical locations would help us to do that. And this was, the training was done in April and so far the results and the cooperation is good. One thing is that the medical officers of MOH and their staff is very familiar with our system. So it was very easy to introduce such system. And this is on development-based, event-based although it is less familiar but they catch up very easily. So around, I think, 50% of data out of the deliveries are entered by 50% or around 50%. So the involvement is good. And these are some of the analysis we have done. We haven't got deep into the analysis. We are planning to do it at the end of the year. And we are collecting qualitative data also via the MOH, the Medical Office of Health, has to give their recommendation in the investigation format as well as in our system. They have to give their recommendation. That is a qualitative order. We have to write what is his idea, what is his expertise telling him to do. So we have to analyze that part also to take into account what are the factors that cannot be extracted through the quantitative parts. We have to go through those qualitative parts to analyze, qualitative data also to come into, do you find out new points about these? So in summary, it was still in the early phase but going by the numbers and the response, I think it's feasible to do this and understand what are the reasons for deliveries that are taking place outside the hospitals. And by that we can find out the reasons and address those to prevent the home deliveries. In our case, I think it had been a plus point that via our Medical Office of Health, working on DHS2 for around 5 to 6 years, so they are very agile on taking up new programs. But the problems I think we found was one thing was that we introduced these forms in a web-based data entry because the form is very lengthy. So we thought it is easy for them to capture it at that point in the paper-based and come and enter it at the office because there are around 110 data elements in our data entry capturing form, it is quite lengthy. And one thing that goes wrong commonly is that the coordinates. Coordinates are sometimes they are mistakenly entering it as switching. So I think we have to train them again to give feedback on that. Hello. Yes, we can hear you Nipun. I think that's our end of our presentation and thank you for giving us a chance to share our experience. Right, thank you so much. Nipun from Ministry of Health Sri Lanka, do we have any questions from the audience? We have around two minutes. Yes, we have one question. Thank you for the good presentation. My question is on maternal and infant mortality rates for this particular group. Are you able to capture that information and if you do, what do those figures look like and when? Sorry, I can't. Out of my memory, I can't give the numbers because I have to go. Yeah, it might not need to give exact numbers but probably just paint a picture what that group, basically they need to have these numbers captured why it's so important. That I think I have to get into our analysis and give because it's, I can't remember the numbers, not the clue either. We have to go to our, it's in our systems because we are captured in the aggregated numbers are captured in our ERCMOS system. So, and we have another flow of data coming from the child care unit, a separate unit which are analyzing each death of an infant separately. They are conducting an investigation for each day. So, there's another unit who is going into the details. They are the ones who are calculating the number. So, for that, I think I have to get their numbers, the child care unit number. Thank you. I think we can have one final question from the audience. Yeah. Okay. Good afternoon. The name is Farsh as far as far as I'm a scientist. I'm from Headquarter, WHO, NCT department. Thank you so much for the presentation. I think you clearly stated out using one of the good features of the DHIS too, but I'm still confused how by look by locating the place of the delivery in the map. You making sure that no one going to be behind of living behind of the receiving service in the institution. I am sure that there are a lot of steps that you are taking, but I didn't see these steps in the presentation. Thank you. Regarding that, one thing, analysis is still in the early phase, so we can go into the more detailed outcomes of finding, looking at these numbers, we can't come up with reasons, but if after around there are 250 cases, after populating all these 250 cases, I'm sure there will be clusters. Probably there will be clusters, so we can identify those clusters and see why these clusters are happening. They may be cultural, they may be geographical, so if there are geographical reasons, we have to correct those. There are cultural reasons we have to find out and find the reasons and correct those. So still because the maps I showed are around 25 cases, but when there are 150 cases, I am sure there will be clusters that need explanation. Yes, the case that I showed, I think it's just an example and more than single cases, what we look for is the cluster. Thank you so much, Nipun and the Ministry of Health Sri Lanka. Right, so what I think next, what we have is a kind of a self-reflection of us, right? Well, it is not from us. About us. About us? Let's get out of here. Can you put a microphone in there? This is better. Okay, so the next session is about, can I present a PowerPoint? Yes. Women in the HIS too. We are really thankful to Miriam Achen here from the System Administrator from the Ministry of Health in Uganda and Sharon. It's online. It's a health information systems analyst from the School of Public Health and Macarena University. Are you going to be presenting or is it going to be or both? Okay, so we are going to need help from Simona to see what we have to be doing, switching because they are both going to present. You start or? Okay, then please. Good afternoon, everyone. As Matta has mentioned, my name is Miriam Achen. I'm a systems administrator with the Ministry of Health Uganda. My role in the HIS too. I mainly support in server management and user support and system support to the country. So for the women in the HIS too. We are looking at addressing the under-representation of women in the HIS too. Okay. So with the achievements of the HIS too in the span of three decades, we observed that the women representation is still wanting across development, sub-administration, customization and use of the software. And so with that, we look at a couple of statistics here. In STEM as a whole, we have only 30% of jobs in the tech industry being held by ladies. And in Uganda, Makira University, we had just about 12% of women being enrolled for software engineering and computer science. And then also across the GHIS too, his networks, we still observe that the number of women represented is still low. And most notably this year academy, we had the integration academy in Rwanda and the GHIS to server academies. Both had about just 8% of women representing in a total of over 100 participants that attended the academy. Then also in the different at the Ministry of Health Uganda where I'm from, we have just about 11% of women in the division of health information and ICT. His Uganda, we have just about 36% that is around eight women in a total of 22 staff. Then again in Uganda, we have just about 36% of women being represented across country. And these are the district health teams by statisticians across the 146 districts in the country. And in the Makira University School of Public Health, we have only 25% of women represented. Again, across the different his networks, this story, the statistics seem to align. Look at Rwanda, we have about just two women among 72 staff being ladies. So I'll call over my colleague Sharon, who is online to give us the current situation, why this is the case, and also present on some of the solutions that we've, Sharon, over to you. Good afternoon. Thank you Miriam. Hello everyone, I hope you're able to hear me. Yes, we can. Thank you very much. My name is Sharon, Sharon Abouai from Makira School of Public Health, MEDS projects. I am a systems analyst and like Miriam has said, so our situation right now, we have seen that there is under representation. And so we asked ourselves what would be some of these factors that contribute to this. And so some of the factors that we found to be the causes of this underrepresentation are the gender stereotypes. I will use an example of Uganda, where I come from, where we come from. The gender stereotypes or biases discourage girls from pursuing any STEM related or tech related education or careers. You will hear things like you can't do this course because it makes you look like a man. How will you work long hours and then support a family? How will you be a mother when you are working such long hours and coding? While some people might be able to be able to hear these verses and still go on, we've noticed that a bigger scale, a bigger chunk of people or girls are actually discouraged when they are continuously hearing such. Next. Then we also have systematic barriers like discrimination and bias in hiring practices and workplace culture. You will notice for example that as we've noticed in our country that when jobs are advertised and you know it's general and for example they are looking for like a software developer, the ladies that apply for these jobs actually fewer, they're relatively fewer than the men. We recently had a case at my workplace where there was an advertisement and only four out of about 40-something candidates were winning. And sometimes it's because of these barriers. If say we were like really serious and then we were intentional and said, for this place, for this job, we want a woman so that we can have balance because it's not just about representation per se to just have women there with the men. But we know that the two different minds think differently and so we know that if for example a product is being worked on or developed, two contributions would actually create a system that relates to everyone and is easy to use because everyone has something equal to contribute. Next please. So we also have noticed that because of the stats that Miriam began with, there are really very few role models for these women and these young girls to be able to look up to and say, if this many women are doing this then maybe I too can do it. And because we know that almost everyone is inspired to do something at some point, there is somebody who kind of makes you either like something or get curious about something to do something. But so role models are really, really key and we've noticed that because of those stats of ladies being few in tech generally that there are few role models or maybe they are not seen by these women or these younger ladies. Next please. The strategies. So we have then thought about strategies, if you are saying that us as the HIS too, we have maybe the capability to help out and to create these spaces for women. What are some of those strategies that we can engage to make sure that this underrepresentation is no more or it is reduced. So some of these strategies could be what we came up with, what we saw that could work would be for example, increasing women's engagement and recruitment in the HIS too. Because if we increase that, then we can go out there and inspire the other women. But then we also notice that these has to begin with us, the community. Then also, we think that if we make these opportunities known, then it will encourage the women out there. For example, in Uganda, Miriam and I have seen that we can collaborate because we are within Kampala. But there is a woman out there in some of the districts that might not even know that some courses exist online, the HIS too online courses or that there are some training opportunities. And so we think that apart from just encouraging them, we think that we could also bring these opportunities to them. We could make them known to them and so then they can be encouraged to apply. But we also think that on the point of hiring, we think that if we could just maybe come up with short term courses where these women can come in and do something short term but learn something like an internship but to that effect. Because most of these people actually do not have any hands on, they are probably just, of course they are end users, but even the role they have in there is really minimum. And so we think that if we increase this, they would get these opportunities and then they could go on and get skilled. We could target like outreaches and have groups of women from the HIS to go out to universities and schools and speak to these young women and encourage them and because then that would be, we would be like role models to them. And then we could speak to them, encourage them about generally technology but also to show them as testimonies to say, so to speak, to say that in the HIS too, there are opportunities and you too can do them because here we are doing these things. And because we know that overall this is really to improve a lot of things before it was just HIV and health, but now we know there is education and many other things are coming on board. And so we truly believe that this could encourage them and encourage them to like look forward to doing some of these things. On top of this, we could also do mentorships where if we go to speak to them, we then can go back to see to look at what they are doing in the system and how it really can be of help to them. But we also think that because we know that this gap isn't existing only on the outside of the HIS too, but we know that even within there is a sort of a gap. We also think that encouraging first and foremost women within the HIS too, because we know there are great women in the HIS who have done amazing things. But if we came together and encourage one another and exchange skill, this would also build this community and make it bigger and then we would then be able to reach out to the outside world. Maybe also one thing that we noticed was that even the women end user, there are very few that are back end coding and really producing and writing code for the systems. And so we think that if the community encouraged. Sharon, I'm sorry, we are going to need to finish at 2pm, which is like in two minutes. And you have still three slides or if you can pick your key last message. Unfortunately, there is another session. Thank you so much. So I think these can actually be done. Next slide please. Okay. So, for the Ugandan case, this is one. This is a room full of women and some two gentlemen. Yes, with our mentor, Dr. Frosper, we worked on a project on health facility quality of care assessment program, which is used to do assessments for service delivery and standards, the standards of quality for these services. So it was entirely women led. And right now there's actually unknown things assessment in the in the country. But as you can see all these women, we have all these women in the room doing the support for it. And so in conclusion, with the establishment of women in DHS, so we are looking for more collaborate creative innovation and innovations that meet the needs of women. And we hope that that can be realized through this this network, this team. And it will entail more than just breaking of stereotypes, but we call upon all of us to to be involved as a DHS to community to be involved in our different his groups. Let's let's encourage our women to participate to take up more technical roles in DHS to and beyond. Thank you so much. Thank you. And I think I speak in the name of the his center and all the his groups and organizations here in saying thank you for bringing up this topic from the field from an academy up to here with the support of both and different parts of the chain. This time that we bring up this topic in a conference in and in a session like this. Unfortunately, we moved it to the third presentation because we were hoping to have an exciting discussion. And we don't have time. You know, we wanted to assess the appetite for this kind of this obviously needed we know the problem is not or the issue is not only the highest two but we are the highest two so we need to see how can we, his groups his center organizations help in a in an issue which is deeper than little girls don't like computers. We all know that starts there and we all know there is a lot to do, starting by myself. So I wonder if this is going to be a reflection for us to either during this conference, because we didn't have time or in the next one and sure some space for women in DHS. I think Christine wants to say something and I cannot say no to that. This is a powerful woman just just to continue what Martha was saying I really think that this should be the topic for our mingling today that started six will start 630. So we will come back to you. Our two new friends that brought bringing up this very important topic so I really think we should continue the discussion today and we will find out something that can maybe address some of the issues this mentorship program is a good idea. We could think about other good ideas, please. Can we can we talk about it during the the pizza and beer and wine and mineral water. And then we come back to you as soon as possible be normally we are fast. So, and agile so we will think about something it can be addressed in a more institutional way than just thank you. Okay. I think MCD is there. Brian is there. Thank you to all presenters.