The original title was my streaming error right in the ERA with our two speakers that I said, but indeed, we will more in depth enlarge the concept and starting from the pathways declaration, work on how to make our right work luckily. So, we will try to discuss with Alem and Alex about the culture change journey of institutional input implementation, giving contribution for more than 10 SWAPs project that signed together the pathways to transformation declaration. Is that correct Alem Marie? Yeah, Alex is the main organizer here, but it sounds correct to me, Alex. Okay. We can start or we have to wait for him for this panel. He is here. Okay, great. So I give you the floor to you. Thank you, yeah. Okay. Yeah, sorry, I had to follow the link sent by Twitter because the others somehow didn't work. I'm just setting myself up here. How many colleagues, how many colleagues have joined? We are 15. 15. Okay. So the others don't seem to have had the same problems as I have. We can assume that everyone else has their links. So give me a second to set everything else up. I'm sharing my slides, I suppose. Technically. Yes, Alex. I think I'll need the administration rights first yet. There should be a green button in the middle in the bottom.  I can see this from the participant list. Okay, great. Literally green just now. I don't know, technology is not with me today, but we shouldn't be checking for as far as dealing with this issue. Okay, everyone, if everyone's ready, then I think I'd like to, first of all, welcome everyone, Adam, Marie and I are going to keep it rather short in terms of our inputs. And we wanted to make this, how do we call it an engagement workshop or anyway, highly participatory engaging workshops where we work with you and co-create with you the ideas and outputs. Plan would be to basically do four things. That's why there are three bullet points. Not just kidding. First of all, to start from a perspective which most of us know, which are, which is the project perspective. We agreed that I would do that with a project that we recently finished, which I think was the largest RI project in quite some time, the Nucleus project. I keep that very short then to embark on that cross project initiative, which has already been mentioned just now, the pathways initiative from 2019, which is the, what the title says, fulfilling the promise of discussing about culture change as a journey for institutions to implement it. And then we want to not stop where we are, but we want to look ahead as to the next framework program and look for some RA culture in it. And as already discussed just with René and Lyndon, we are not entirely convinced yet that this culture is mainstreamed through the next framework program. So that's the plan for the next three steps. And then the fourth is the main discussion with everyone from your side. Please don't hesitate to already collect questions while we're presenting. We're keeping it short anyway. And I'm not very much looking forward to the discussion done. Are there any immediate questions about the plan to go ahead with the session like that? What the order, any technical issues so far I should be aware of doesn't seem to be the case. Okay, and I just go ahead. Yeah. Yes, I think everything is working. Yes. Great. That's a relief this morning. So just briefly, a nucleus project for me in Europe for four years. It was a global one that is also included partners from South Africa and I've just actually a colleague from South Africa from NRF joining this session, also from China. The main four learnings from the project perspective were that our eyes very much about the quality of the process much more than the activities or the results which also reflects a lot. I think the key notes or the kickoff discussion this morning that institutional change is not when you employ a public engagement officer. So institutional change is not if suddenly university has a gender equality plan, but otherwise doesn't live up to the plan, and so on. The second learning that context sensitivity is absolutely fundamental to basically a process in context that we always should see as the idea of a civic university, for instance, the institution as part of a cultural environment, both when it comes to the institutional cultural and disciplinary nature of it. Third learning is that there are significant resistances in the actual governance of research performing organizations when it comes to what we call culture change, and also resistances on the funding organizations and policymakers. So I do share the the hopes and the aspirations and the optimism expressed in this morning's session. I do not share the perception that were were halfway there. The main RI as we try to do it in the project was to implement it across the world in 30 different more people embedded in mobile nuclei to implement it and then to monitor and evaluate the actual change processes. Also in terms of those four dimensions. We developed policy brief as almost every project it swaps in the RI domain, I believe has done. We produce some case studies booklet so we showed how implementation works in individual cases, and you can reach a couple of those points here I don't think I'll have to take you through those in detail. I think it's going to take ages of time and starting late because the aspiration of this session today would be how do we get beyond the perspective of let's do something within one single project with five or 10 or 15 institutions because in the end we're talking about mainstream this across the entire European Union, and the research and innovation systems, or even globally. This understanding led to a collaboration between two projects which now have also both been mentioned so far the RI practice project represented for example by Ella Marie as a project coordinator but she also mentioned it in our keynote recently. Yesterday I think it was. And the nucleus president the two of us teamed up. And we managed to together 11 other projects, so it's not 10 but 11. So for that in the title. So 13 in total projects that thought, what are individual recommendations and how can we bring all of that together as a recommendation to the European Commission saying if you really want this to be mainstream if you want this to be a phenomenon something that changes research and innovation from within, then we need to go a step further we need to make the next step so we signed what we called a declaration on pathways to transformation and that is a transformation of the systems the very systems of research and innovation. That was endorsed endorsed not just by the project beneficiaries which if you want is natural, because they are literally benefiting from that funding, but it was also endorsed by stakeholder organizations in the event we held in 2019 for example that universities association there. We had a store there so also the parliamentary side of things science policy that was I think a very crucial moment when it went beyond the swaths community and even beyond the scientific community. There are a couple of follow up projects, for example ring and grip to projects in which I'm involved, which also co-sign there is here from the next funding period that basically are trying to implement and show that implementation based on the previous learnings from all those projects listed here and from the ones mentioned in the declaration is possible and doable. We put all of that into a journal paper, which I can recommend these slides I believe are going to be shared and then you can actually click on the link which you can't do now but I'm happy to share the link in a minute in the chat so that there is a paper in our art in the Journal of Responsible Innovation summarized that. Let me just very briefly take you through the seven main claims of the declaration, which we think summarizes the challenges and one of the opportunities for implementing this actual institutional culture change in research institutions, research performing institutions. I took a few notes here and then we could look at those because I wanted to also connect. Can you actually still see my slides. If I look at my notes. I hope that works. Yes, we can see your slides. Because I'm maneuvering here between different windows. Thank you for the feedback. Eleanor pointed in her keynote to new institutional theory which might be something that helps again to connect that with what the declaration was trying to do. Because it's not forces that encourages us to see to view a research performing organization in three different ways as a set of structures as a culturally unique body and then of course also with its different degrees of openness towards the stakeholders. And whereas, again, the European Commission is quite confident in saying that, for example, in the swaths evaluation of the report. It says that more than 200 individual institutional changes or change actions actually apparently happened across all those projects which sounds amazing, like 238 universities and research institutes, which apparently went through culture change process, but then the question that also I think the declaration was trying to raise is whether we have the measurability, whether we have the comparability for that for the institutional change. So whether we know whether that actually happened. How many of these more than 200 changes are substantial. How many of those are sustainable. How many of those are sustained in terms of structures and cultures and openness. My personal estimate would be maybe 10% but that's maybe also too pessimistic and I'm happy to discuss it with the group. A couple of minutes. So let me briefly take you through the seven points. First of all, our needs to be embedded in the next framework program that was the primary objective of this. We've, we've, we've have, we've had this learning process. Where do we go from here. It means that individual approaches need to be tailored to the projects. It needs to be budget reserved to it, which I will also be skeptical whether that's what's happened. And we need to communicate guidelines and train the evaluators, applicants and the reviewers, because just saying that this is now an objective or saying that there's a social mission, a social objective as René just framed it. The question is whether that is sufficient if we don't change the system of how proposals are evaluated. If we don't alter the perspectives of reviewers assessing whether RI is actually included in the proposal to sufficient extent. If we don't offer trainings and capacity building for applicants and for research performing organizations to actually do what it is that they're promising in their proposals. Before I forget, by the way, to mention, we're using the seven slides here courtesy of our dear colleague Stephanie Deimer from Flanova Easy in Karlsruhe. And the visuals here are from Heiko Stöber who developed them as part of the New Horizon Visioning Conference in 2017. So just that the references are made. The second point, a bit faster, the challenge of interdisciplinarity and transdisciplinarity. Again, I don't think I have to explain it to the people I see in the list of participants here. You can also read up on it in the declaration in detail. We reminded the commission that we need to treat RI components as research as not as an appendix as a public engagement activity but it's supposed to change the very research approach methodologically, conceptually, philosophically. The fourth point was that we need to be, that's where the process dimensions come in, which have been mentioned just now from my previous speakers. We need to anticipate, respond, reflect and include. And one of those reflective and inclusive and open dimensions shouldn't be fragmented. We should just be able to cherry pick one and forget about all the others. RI is a package deal. And that's how it should be applied. Open science, citizen science and co-creation are aspects of RI. That's a very tricky discussion, as you may have noticed in the last hour, that there is an assumption that open science can simply replace the RI dimensions. I think that the SDS community would be skeptical whether that's immediately the case, particularly because open science has an output focus, at least as perceived as focusing on the output, whereas RI is very much about the input and the process perspective. So yes, it is part of that, but we have to be careful also with how perceptions of different terms and concepts in the community might distort what the commission is expecting with its policy prescriptions. We suggested an actual hub. So literally an institution supporting institutions in doing RI, in living RI, then mentioned that briefly that you could also imagine something like a mentoring process or a mechanism where institutions are taken by the hand and encouraged and supported in doing what we are expecting of them. And the seventh point was about APs and communities, like societal sounding boards, if you want to include RI experts and or transdisciplinary representatives in the advisory and governing bodies of emerging technologies and mission oriented programs. That means that we have the NGOs, the CSOs and the STS experts on board of the committees who actually make the program decisions and contribute and co-create the proposals. Yet another thing that to my understanding is not really the case. The CSOs being brought on board as unpaid members of an advisory board, that to me does not check at all the box of integrating and living RI in the next framework program. I hope that wasn't too long. Let me look at the clock. Okay, well we started late. So I suppose that was just about on time. I would then like to hand over to you. We wanted to look for an RI culture in Horizon Europe. I could either stop sharing and you start sharing yours or I could click for you, whatever you want. Okay, well, why don't I share some of the things you're doing. Okay, give me a second. I think I've stopped sharing. Oops. Yeah. So, good Alex. It's nice to take us through the history and now I will try to say something about where I, what I perceive as the current status on what has happened and to connect it to the culture building topic. You could ask whether, and I'm being a bit specific here. DGR and I have succeeded in building a culture for our in Horizon Europe. So, let's see. This is what I'm presenting now is the result of a lobby project funded by the Research Council in Norway. I'm not sure if they call it a lobby project, but it's a project that is supposed to support the implementation of topics or research fields or research approaches that are important for Norway in Horizon Europe. And the Research Council of Norway is very committed to RI and they want to support implementation of RI in in Horizon Europe. So, we are basically three main team members in this project. It's Alex and Siri Granumkarsson from the Norwegian Technical University and myself. We have our web page as well. You can have a look if you want. I'm trying to influence through while getting information, trying to keep updated on what's going on, try to talk with our National American committees. The ones that actually give national input to the Horizon Europe and also to work with program officers and people who write the draft texts and also applicants and research communities. So, let me get to the point. As Rene and Linda has explained already, I don't need to say much about that. There is a legal basis for Orion in Horizon Europe and that's great. And it makes it, it makes the argumentation a bit easier because we can refer to that. Horizon Europe shall do responsible research and innovation. So, in the current version of the strategic plan for Horizon Europe, the overall policy document outlining the program. It's not as visible as the legal basis might say, but it's still quite, I think, I agree with Rene and Linda that a lot of the perspectives are there. But they can say RRI more. So, they say like that the document presents a range of horizontal considerations related to areas for international cooperation and key specific issues. Gender, social science, humanities integration, key enabling technologies, ethics of the science and social innovation. And I just wonder why they can, why couldn't they say RRI? It would fit in well, but it's not in there. Also in the overall strategic plan, there is, well, there are kind of different strategic orientations and one of the strategic orientations for the strategic plan is creating a more resilient, inclusive and democratic European society, prepared and responsive to threats and disasters, addressing inequalities and providing high quality healthcare and empowering all citizens to act in the green and digital transition. And I think it would be, this kind of gives a mandate for including RRI in as a part of this point D, but also to include it specifically in cluster two, which is the cluster on, too many documents here, the cluster on cultural creativity and inclusive society. So what we see is that there is mention of RRI in the draft documents now, but as far as I can see, there are no mentions of research on RRI. So RRI seen as kind of a support approach, but it should as well, and also according to the pathway declaration, there must be some sort of ability to also conduct research on RRI. Otherwise, we won't have kind of the best possible research based support for RRI in the rise of Europe. And that should be in the cluster two perhaps. So just to give an example or a picture of how Horizon Europe looks. This is overall structure. And RRI, the home of RRI is now in widening and strengthening. So that's kind of cross cutting the pillars. Of course, the money is in the pillars. And the missions are in pillar two alongside the clusters. So widening and strengthening is the home for making sure that the whole of Europe is engaged in research and innovation of high quality and also for reforming and enhancing so strengthening the European research system in different ways. And I'm sure that they will correct me if I'm saying something wrong afterwards. So widening and strengthening is kind of where you will find most of RRI together with open science and ethics. And it says that again, the visibility of RRI is not very high. The draft document for widening and strengthening says that it should empower European, Europe's citizens as scientific knowledge is broadly diffused. Forging critical thinking, social and democratic engagement, more inclusive democratic societies, empowering citizens. And again, why couldn't they just mention RRI? I think also a problem with RRI, having RRI and widening and strengthening is that from my experience there is a lot of focus on the widening countries. So how to get, you know, eastern, many of them are eastern countries to engage more in research. And the cross cutting issues are not equal, there's not equal amount of attention to these. So that's a pros and cons of having RRI in widening and strengthening. But as I said, there is, as far as I can see, not really research actions at all on RRI and widening and strengthening, not so far as at least. But RRI is in there and they have its section two called an open inclusion in responsible research and innovation system, which is great. There's a lot of focus on open science, open access, gender, citizen science, science communication ethics, so it's a well-known case. But there is also mention of RRI, their coordination support actions. So, from the very excellent interview in the morning, we heard a lot about RRI and open science. And I would like to point out that I'm not sure who in the European Commission takes a few, but at least when we have called for more RRI in Horizon Europe, an answer from the Commission has been to connected to ethics. So I think that's also something I'd like to hear Renee's views on. So that RRI is not really taken care of by citizen science or open science, but by ethics and integrity. So here's a quote. RRI has been operational that defined as including several thematic keys, ethics being one of them. Responsibility in design, implementation and communication of research is indeed a key in the research ethics and integrity policy objectives. And is covered by the following four principles of the European Code of Conduct for Research Integrity, a reference document in Horizon Europe regulation. And they quote these four principles, reliability, honesty, respect for colleagues, research participants, society, ecosystems, cultural heritage and environment, and finally accountability for the research from idea to publication for its management and organization for training, supervision, mentoring and impacts. And they say these values essentially based on the protection of the fundamental rights and the respect for the environment, frame the responsible and ethical conduct of research. So the impression I get is that RRI is now taken care of by research ethics. And there is more about research ethics also in the draft for the strategic plan of Horizon Europe, as mentioned under the section specific issues. And one of the specific issues that will be taken into account is ethics and integrity. And they formulate it in a wider way than what we have usually seen the last years with regard to ethics and integrity. So it's not only anymore about research internal norms, but including norms related to practice and impact of research. So in a sense, I would agree that when they expand the ethics research ethics concept in this way it gets closer to RRI. And I think that in order to make sure that the European Commission still communicates that RRI is important, they could simply say ethics and responsibility, but this is not done. I think it's interesting and we should discuss whether we believe that an extended research ethics approach would cover a lot of the concerns we have about RRI. Another thing about this specific part of the draft strategic plan is that it doesn't really say how these specific issues will be taken into account, but it doesn't mean to take something into account. Will it be up to each program line? How it will be implemented? How will it be monitored, evaluated and followed up? So that's an important point. And then I would just like to say a little bit about the European Innovation Council. I mentioned it as a question in the chat. And when I answered very kindly, it is quite, I mean, if you read the document, it's all about groundbreaking radical research that is going to have this dramatic impact on our societies. That's what they want, high risk research, potentially kind of turning around everything in order to, well, I suppose solve or solve problems. But there's hardly any mention that it doesn't only have to be high, they can't only be high risk, it has to be a responsible risk. So all of these change radical groundbreaking changes are supposed to happen without any of the, what we're used to with, you know, societal engagement and responsibility and all of that. So for me, it was like going back 20 years when I read it. There's hardly anything about social engagement. There's engagement with stakeholders like industry. When with the kind of ambitions that European Innovation Council has society must be involved. And when you read there's, there are some kind of specific challenges that they call pathfinder challenges that which are supposed to kind of guide at least some of the research. And they are, they seem to be technology push and not defined by identified societal needs. And these challenges shouldn't be identified in the broad inclusive process. And in addition, several of the ones that are mentioned so far are highly ethical sensitive. For instance, self developing in the where artificial systems engineered living materials. For me, it's very strange that they don't address the need for handling this in a respectful approach. So I think this is the most kind of worrying part. So, I think that I'm going to, I'm very rude now. I'm going to do kind of an assessment. I think, yes, I mean, there's so much good work done in Horizon Europe, also by people who've been here today. It's great that's in the overall objectives. There is inclusion in widening and strengthening and we fear that there wouldn't be any and there is some. It is mostly translated into open science and ethics. The missions, I would agree, reflect the RIS spirit, but it's not only about our eyes, maybe just as much as about the sustainable development goals. I would agree that there is overall more involvement of citizens more into disconnection stronger requirements of openness, many places in the rising. So I think that in a way it's a success. I think, with regard to the innovation people, the European Innovation Council. Yeah, it's so far a failure. And I think that we have to take part of the blame. What could we have done to build a better understanding of our own innovation community and we as an RIS community haven't done that. So I think there is still time because the processes are not completely closed. If you get in touch with me, I can have some more information about how you can engage and we basically need everyone to engage. Also, like it was said earlier. So, but I would like to finish by a few very concrete questions also based on the interview earlier today. Because I think that you said that we would need to influence the applicants to European Innovation Council, but and that's fine and sense. But I think there should always also be a way to get in touch and try to influence the staff actually making writing the texts because applicants will do what is required in the text. So for me, it would be also very urgent to get in touch with the stuff. I'm not sure how we can influence the applicants. I don't see what I can do to do it except only kind of open invitations. And the same problem I have with the missions. I understand that we have a great opportunity and a window opportunity for the missions now, but how to reach them, how to influence them. I think one, like you or linen was saying that it was a bit worried that we didn't have enough capacity for all of this that was going to happen in Horizon Europe. And one of the things we wanted in the pathway declaration was our I hub, and it's not there. And I really hope it's possible somehow to get a tender for an RI hub in widening your strength. But I don't know how to achieve that. And finally, it is a problem. I think that there is so far no possibility to do research on our eye as far as I can see. So I hope I didn't provoke too much, but I hope that this was at least enough for. Thank you. Thank you. I think provocation was our job. That's that's that was the job description this morning. And I can only underlining and I think that's also where both of us have tried to emphasize that it needs it would need conditional specification of those dimensions of responsibility in the work programs be the EIC, or in Europe because otherwise it remains an abstract paradigm or policy prescription. So how is it actually broken down into specific requirements that also the applicants understand and where the best of resource base that they can touch on. Okay, then that means I need this module or that framework. So that would be the one dimension. I think the other one, Ellen, that you just touched upon was, where's the actual practical support for RPOs and also RFOs by the RI community. Where's the mechanism is it is this hub, for example, that we envisage envisage. What's the interface, how can we make sure that there is a knowledge transfer from all of the things that we have apparently learned from swaths into programs. We have one question in the chat. I was wondering whether we should directly jump to that one. We can probably, Ellen, if you can stop sharing so that we can see. Great. Here we are. I have Lucy Patricia. Okay. So I cannot see it. Right. Oh, okay. It's only to me private. I hope I'm allowed to read it. But stop me in the next five seconds. Fair enough that was informed consent. The scientist must be smart to drive decision making on policies. Someone just interrupt me. Okay. The scientist is smart to drive decision making and policy. The hub, probably the one that we just talked about. And meet the expert strategies are crucial. How will these. Someone's trying to say something. I'll stop talking for a minute. Did anyone want to say something. Okay. So Lucy, I just read out your question if you're still with us. Yeah, she's here. She's here. Would you, would you mind? Would you mind expanding a bit from that point? Let's see. I can see Lucy on the participant. I don't know. Okay. Here she is. Hi, Lucy. You have come with your microphone. Okay. Okay. These are great insights that I've captured from this transit, the transaction. And it involves governance. It involves power. And now here is the scientist who has not been equipped with the tools or the methodologies to be able to convince or influence. So that like in Africa, be able to establish the foundations. And whereby we are going to project towards responsible research and innovation. Because like our foundations are vulnerable. I tell you when I was listening to all these, I was, I was looking at the foundations, our educational foundations from primary school. The universities are highly compromised. The kind of research that we are doing is actually based on output and not really the outcome. And it has really triggered a lot of brainstorming in my mind. I really want to know, so how can the scientists be able to get smart in terms of convincing, in terms of influencing and driving even decision making? Because I think we have been, we have been shy in that line as scientists. Am I clear now? Even clearer than before. Thank you very much for the question. Please first, do you want to start? No, I think that was mainly a question for you, Alexa. Okay, now I'm happy to start. I think it's very much a policy question and maybe not so much a capacity building question in the scientific community. Of course, if you had the right tools and arguments and so on. And again, for example, our colleague from the National Research Foundation, South Africa, with us at the moment, they were part of the project I mentioned in the beginning. So there are frameworks, there are tools, there are processes, there are ways to go about this also to approach your own executive board, for example, or to approach a regional research council or something. So there are ways to do this. But in the end, I think it is just as much a top down question as it is a bottom up change movement. So you want to change things, I suppose if I understand you correctly, bottom up, whereas the challenge, also as I have experienced it in Africa, or on the African continent to be at least a bit more precise was just as much a policy implementation question as it was a research drive question from the scientific community. So the first question to me would be, are the funding bodies are the research policy the science policymakers in their mindset convinced that this is a thing that this is something that we should be doing. And I would love to see it because I had the privilege to experience firsthand the different parts of the African continent and the pressures that are on the social systems which are, if we're honest, much, much higher than there are in the privileged global north. So you experience pressures, which, for example, also applied science could immediately tackle when it comes to water management when it comes to agricultural research and so on. So I think the pressures are there to drive our eye actually much, much stronger than it's probably possible in the more, let's say lean back independent cultures of science as we experiencing them in Europe, and many of the European countries at least. So I would see that as an opportunity, as long as policymakers are aware of that and are also willing to drive that change from a political point of view. I'm not sure if that answer helps because you were explicitly asking for capacity building, I think, but I would wonder whether the one thing comes first. Does anyone want to add to that. What does agree. If I may ask another question to the audience. I'm curious about how people react to translating our eye into broader research ethics. So, so now we have kind of three strands of furthering our eye in horizon Europe so it's about open science. Cooperation and also research ethics. If I can ask Renee, would you say that there is a common understanding in the DG research and innovation about responsibility or how what is the dialogue internal dialogue. We have run here. Renee wants to run first that that's okay by me. He hasn't muted his mic so many. Yeah. No, I had the feeling that the question was addressed to me so sorry if I take the floor it's. So, I'm not sure if if there is a shared diagnosis in DG research, you know this. You know the. I think in your prey. I mean, maybe I should come back to your presentation elementary. I think what you presented at the end of your conclusions on on RRI. You, you know, I think it's a fair representation of the reality is as far as I can see so it is not. I think you did. They're a good job. That's that's a fair representation. You know, what differentiates us is not. I think what's good to do, but you know, more from what I do from my side and what you can do from your side. Of course, I look to things like the missions or the Green Deal, for example, I mentioned this in the interview, but I think it was just a few days ago. I was on the call for one billion euro. I mean, I don't this is this is this is a fact as one billion euro for a Green Deal research. And the last part also goes to citizen engagement and knowledge strengths. It's a great opportunity for the RRI community to get mobilized and join in there. Because, you know, this is maybe where we may have a slight disagreement of opinion. I'm not sure I actually I even tested out. But I think the weakness of swaths was actually that, as I said in the interview, we did not deliver on outcomes. And, you know, my interest is really to make innovation directional. And the Green Deal is an example of that, of course. And these things which have been donated with such amounts of money and such a scale as never practiced before. If this not is populated with the RRI community would be a shame. And so this is your opportunity. And this is why the quality of these things always depend on actors and who will participate and who will win the call. And you can have also better RRI project. You know, you know these things. So as a programmer, you cannot do more than setting the conditions and hope for the best in terms of who will show up and who will win the cash. And now there is so much money available. People always complain there is too little. There is so much available. You know, and there is something where we can deliver. So this also answers a little bit of question, you know, why there is not so much money for doing reflection on RRI. I mean, I must say that there were quite a lot of projects. I mean, swaths, even if it was a small program, had a lot of projects. They all started from scratch trying to redefine what responsible research and innovation is. And I personally didn't find it very productive. So that element. So if you ask me, you know, personally, I don't feel the need to further reflect on what RRI is. My need is more on how to deliver on, and especially of course, socio-politically on this transition to an innovation paradigm, which makes the ethics will then come automatically in. So I think you work a little bit more, you look to concrete ethical examples and you look to the cause of conducts and so on. I will not say that these are not important. They are, of course, important, but they themselves are the result of so long. I mean, the European Court of Conduct, which is reflected in the middle and in the grand agreements, is the result of the years long process from academia and things and they quarrel with each other. In the end, this is what they get and it's from our perspective probably insufficient, but this is how far it can get. So I'm more like, you know, in Holland, they say, in Holland, they say you have to roll with the pedals you have. So these are the pedals and so we have to exploit them. And with open science, we go beyond these research ethics goal because I think a lot of issues around the reproducibility of data, for example, and reliability of scientific information should be part of research ethics, which is not in there, but which we will try to address with open science. So there is still some work there to do. So with some capacities, there will be some research on error I do. And I also agree actually, you know, you have raised this repetitively the need for such an hub. And I think this is actually a really good idea. And I hope some way or another we will be able to do that, the sooner the better, of course. But of course there we have to find this on us about the money and see how far we can get. But it is on our radar. And so, yeah, sorry to talk too long again. Ron, maybe you would like to add something. Yes, indeed. As usual has raised so many other additional points that it's difficult to know where to enter this. I have to apologize. I couldn't hear the first session this morning and I had other appointments yesterday. So, if what I want to say has been covered, I apologize in advance, but I'm sure these are issues that need to be readdressed. In terms of what Alex and the new Marie said, and also Lucy's point. It seems to me that there are some additional concerns that we have to have in mind. René's most important point was the paradigm is more important than the abstract concept. I have to admit that in order to ensure the project that I'm involved with, primarily at the moment progress, we wrote RRI into the project. The project's about research ethics and integrity. But if we hadn't written RRI into it, I don't doubt we would have got the brilliant score that we did get from the evaluator. So there are some lessons that the culture has, to some extent, been incorporated. However, what concerns me more than anything else is, for want of a better term, and this is with respect to all of your work and the cluster projects involved, it's RRI evangelism. If it becomes a missionary and loses sight of the elements of the concept, then it's going to be awfully hard to achieve. And one of the dangers is that it becomes tokenist. You know, from my experience in research, after QA often end up with people, you know, aligning to the OVADO convention, declaring that they support Helsinki, or that they align with human rights. You know, what does it mean unless you look at the context in which those things are actually practiced in the field. This is where Lucy's point is relevant, because as you move between different contexts, you know, you see different things being possible. So I'd be less concerned, let's say, than Alan Marie, about actually having the name RRI in Horizon Europe, as long as the elements to what you see to be important in RRI, the lessons that have been learned, and elements of the culture that need to be developed. If they are in Horizon Europe, then let's not be precious about the term. There's an American proposals and applications. They all mention RCR, but I don't know if they really went in the field, in the lab, or wherever, are actually practicing RCR. It's only what they tell me, or what gets disclosed in, you know, in the event and the outcomes. And the other, the final point that I want to make about this is that we've been doing some interviews. You know, my project ProRes is about actually trying to get policymakers to look at the nature of the evidence that they use, not just used ideologically biased evidence, but look at ethically produced and ethically generated evidence, which essentially should be what RRI has achieved. They should look at that, and that's the evidence they should use for making their policies. Now they don't do that. In some countries, they do it less than in others. And in some places, it's evident that they don't look at the real evidence that, you know, they just use the evidence that supports their particular ideological view. So that's my concern. How do you make sure that, you know, the true elements of the culture, all the things that we are all seeking, I know, there's no real difference if you look at the term, you know, the underlying elements within the paradigm. And that we're actually after people being honest, being transparent, behaving responsibly. All of these things make very different than, you know, difficult to actually define and conceptualize terms. And the danger is that if you just simply promote a particular term like RRI, it gets siloed. It gets getter-wiseed. It becomes easy for people to say, Oh, RRI was a fashion. There's nothing else now. Now, you know, that is a real danger, I think. You lose sight of what you're really after when you're trying to achieve it. And the final thing I'd say, when we actually interviewed, we've interviewed researchers, we've introduced research funders, we've interviewed policy makers and policy advisors, and about 50% of them, when we asked the question, do you know what RRI is? We understand it. 50% of them said no, never heard of it. That's an interesting response. We then explained what it was and they said, Well, that's obvious, isn't it? We should be doing that, shouldn't we? And then the others who knew about it had a range of different kind of interpretations of what RRI actually meant to them and just how achievable it was. And again, that's where I saw most of the tokenism. Oh yes, I know what it's about. We do that. So, you know, what I'm doing here is what the Commission really loves and that's disruption, right? They love disruptive technologies, and we need to talk about interoperability. In other words, how across all the cluster of RRI projects, research integrity, research ethics projects, what are the common elements that we can promote via Horizon Europe? That's the more important thing than, if you like, the missionary label. I hope I've not offended anybody. Well, there will be so many things to do, but the session is more or less over, so I gave a quick answer from Helen Marie to Helen Marie and Alex. And the very last question if we have some other. Okay. Well, thank you, Ron. I think there is some value in the concept as well because I think that a lot of organizations are out there trying to RRI and if they see that it's gone, they might, you know, get confused or stop doing it or whatever. Feel that it wasn't worth it. So I think there is a value in it. And I think that it's a value in it also because other concepts that can be used. There's often reduced in a way that RRI is supposed not to be reduced because it is supposed to be this integrated more holistic. So I think I'm afraid that that will disappear. But otherwise, I mean, yeah, it's a discussion. So I think, I think it was maybe Renee and Lyndon has said that you have to see different concepts or different instruments on the way to to responsibility and then that and I would agree with that. Alex. Yeah, I mean in general, it being a fashion doesn't necessarily need to be a bad thing if you want. Looking at the guitars behind you, you know, there is certain trends in music and if you're playing the right music, the right tune at the right time that can be a really good opportunity, but I see, I totally agree that I see the risk for, yeah, the risk, the risk for tokenistic understandings of it and it becoming a checkbox activity and I think actually to be quite honest this is already happening while we speak. The question what to do and why to do it, which is that policy philosophical ethical discourse that we've not had for I think way too long leaves the question open to me how to do it. And there are a lot of answers that our community has delivered and that's even outside of the swaths bubble other communities have delivered also beyond the you indeed from in the US and also in Africa and other countries, where it's very, but that to me, and that's what what Elmer emphasized earlier, it must be written into the work programs. If you leave it vaguely and abstractly in there, then people don't really know what's expected and how they're supposed to do. The first element of the second one. It must also be facilitated and fostered with very tangible pragmatically practical support mechanisms talking of the hub and capacity building for the mechanical engineers and the synthetic biotechnicians and whatever. Yeah, people who have maybe as you said not even heard of the concept, but even if they have they don't know how to do it. How do you, how do you co create with civil society organizations upstream. Well, let's have a guess that's Google it. No, there are there are tried tried and tested ways to do it. And that knowledge transfer needs to happen more in a more institutionalized way than I think it's being foreseen at the moment and if we don't do that we run exactly the risk of what run is just erased. It becomes tokenistic there's a risk of it becoming a checkbox activity and that we might lose more than we have gained in the last few years. So I'm actually quite, quite concerned to be honest. Okay, thanks Alex as well. Well, if we don't have any other question it seems that well the chat is like free. I'd like to thank you so much for being here in this session. And just a quick, like, spot pathways sharing the screen in like 10 minutes, or maybe less than 10 minutes we will have this interactive sessions. Well, we will present our guidelines for governance and we will try to have some like interactions with the audience, especially in terms of how to mainstream how to write the European research area. And now we can move as we started saying from the first day from a concept of our right which is beautiful and romantic some auto one which is useful so how can we really, we can really invest on the usefulness of this concept so that and this is linked to what we were saying, it could become really an operational concept for our program and now it could become useful also in Green Deal and all the other initiatives that you write in Europe is launching. Thanks again. Thanks. And see you soon. And thanks to everyone for participating. Thank you very much indeed. Thank you. So the link for the next session is in the shot and is the correct one. Okay, that will be lost. Just copy paste and then you can access the session and we will start on time. Thank you. Bye. Bye bye.


So this focus hiring is important because it helps to bridge the gap between student and professor. There's so many different qualities of a good professor, but there's something special about working with someone that looks like you, that has a shared background. For the past 10 years, I worked in the Turks and Caicos Islands in the Ministry of Health, most recently as the National Epidemiologist. I have quite a bit of experience in the field, and I'm hoping to use that experience to inspire and to motivate and to teach persons on the cusp of a public health career about what are the poor competencies of public health. So I came in with a great group of individuals. They're all brilliant and some of them are already giants in their field, so I'm just excited to see what we can do together.


2DN, previous topic, we have generated, movement generating function Mathematically we have generated movement generating function We have got an idea that this is the movement generating function Now how we can use the role of movement generating function Now look at this, this is the example of the movement generating function Or we can say that, .Mgf, the movement generating function Provide a way to characterize a probability distribution by generating movement of a random variable. तीके, movement generating function बेसे के लिए क्या करीए? correctorize करीए probability distribution by generating movement of the random variable. In the case of the multivariate normal distribution, the MTF can be expressed using mean vector. You know that this is the movement generating function. Previously, अभी हम ने इसको, mathematically, derived here. Let consider an example of the movement generating function for a bivariate normal distribution. हम इसे bivariate normal distribution के अखर्ट करने लिए? This is the movement generating function. You know that this is the exponential t prime mu. This is the mean and plus 1 by 2. This is the total. This is the function, movement generating function. 1 by 2 t prime sigma t. अब यस मुम च़रेटिं को हम ने नमारिकली कैसे किया है? Suppose we have a bivariate normal distribution with mean mu1 mu2. Bivariate distribution का अप रेकोल करो Pdf क्या होता है? उसके अखर्टिं हम ने यस को सोल्फ करे लिए? With mean mu1 mu2. And variance is sigma1 square equals to 3 and sigma2 square equals to 4. Suppose we have done these values. And correlation coefficient rho which is equals to 0.5. 0.5 हम ने यस में कोरे लेशिन लिए? We want to find the movement generating function for this distribution. कोंसे दिस्टिबुशिन? Bivariate normal distribution के कोरे हम ने? Movement generating functions generate करे हैं? यह नी उदर से हम values, determine करे हैं? The movement generating function for a bivariate normal distribution can be expressed as m t1 t2, t1 t2 q, क्यों के bivariate normal distribution हम ने लिए? So this is the exponential mu1 t1 plus mu2 t2. कहाई आप के पास प्रीवियस? This is the t prime mu. तो mu1 t1 and mu2 t2 plus half. Look at this. This is half. तो half को हम ने क्या काई? 0.5. देन हम ने ये bivariate का आगे उसके अकोरे लिए? एस को अपन कर दिया है? तेगमा वान सके ये ती वान सके? प्लास सिगमा तुसके ती तुसके? प्लास तु रो? सिगमा वान सिगमा तु? ती वान ती तु? बाई वेरीएट का आप पीदेव ज़ा लिकोल करो? उसकी हम ने यापे उसके कोडिए? अप उसका मुमन ज़न्रेटिंग रिकोल कर लो? अम ने यापे वल्योज लिकी है? प्लास सिगमा तुसके ती तु? बाई वान सिगमा तु? तो हमारे पास नेएखस कि अगजा? तु ती तु? याने वान वान वान वालु सेंट की है? जो बसतति Нет लिकाom Work? आप ज़ो। बत्रास सिगमा तु? शवना वान नेएखस की है? अप सिगवा औप सिगमा तु? अप ज़ो Haven Mant?] आप था। शवना यापे च्ीन। शन्तौ कर लिजा अप कोना ने येखस की है व! यरू मारे पासवालfree products मैसाभोडय मैसाब Rail this which is equals to फोर, fourth value is entered या प्लाज तो रो appreciation which is equals to point five so this is total था थिस्बमा येडीश कि यानौ तो लिया मैसा बखातư� assumed this which is attached at zero तो तुऴ�ना कहीण ऑगी था after's तो तया man the exact line of which की मैसा चेज़ ब हैस था जो थो ठ॥ी हु now अदिश्के रूथ of four, T1 T2. तो after simplification, we have the values of this, अदिश्के कि बनाद चनरेटिंग चनरेटिंग खन्छन एक थी औई आप के पास यहां पे T2 के साथ 2, 1.5 T1 square यहां पे आप के पास नहीं एसको सुल्फ के आप, 3 multiplied by 0.5. So 1.5 point square, 0.5 multiplied by 42 square. So further, we have this result after simplification. This is the moment generating function for the given bivariate normal distribution. Okay, now you can recall how to solve this. This is the exponential. Now you have basically exponential of x. This is the e, e power x, basically.  And if this is minus, then e raise to power minus x, which is equals to 1, minus x, plus x square over 2 factorial, plus minus up to so on. So we consider e raise to power x. Now e raise to power x, how we will open it? 1 plus x. Now this is the term of x. t1 plus 2t2, 1.5t1 square, this is x, 2t2 square plus 1.45t1t2. This is the x, plus x square over 2 factorial. So t1 plus 2t2 plus 1.5t1 square plus 2t2 square plus 1.45t1t2. e raise to the power 2 divided by 2 factorial. Now these are the coefficient of t1. Now what we need is coefficient of t1. What is the coefficient of t1? Plus up to so on, you are carrying it. So plus up to so on, we have carried it. We are doing it till here. Now here you see, what is most important? Now we need their coefficients. t1, t2, t1's coefficient. Where is the coefficient of t2 coming from? Coefficient of t1 square over 2 factorial. And coefficient of t2 square over 2 factorial. How do we determine this particular example? From moment generating, how do we determine this? So coefficient of t1. Now what I need is coefficient of t1. This is the t1. What is the coefficient of t1? 1. So you can write it as 1. Here also you have t1. But here what is the whole square of t1? So whole square will be t1 square. That is why I have coefficient of t1 in the first portion. So coefficient of t1 is equal to 1. Now for second, coefficient of t2. Where is the coefficient of t2? Where is the coefficient of t2? Here you have 2. You have 2. t2 is also here. But this will be the square of t2. Now next, the coefficient of t1 square over 2 factorial. Now how do we determine this? You need to check that t1 square over 2 factorial. Now look at this. This is the t1 square. And what do we need? Divided by 2 factorial. But here 2 factorial is not there. What will be 2 factorial? We are multiplying here 2 factorial. 2 factorial means 2. If I have divided here, then you will have to multiply here also. So what will happen? 2 into 1.5. We will solve this. 2 into 1.5. We have got 3. Into t1 square. Now look at this. t1 square over 2 factorial. Because it was a square term. Now look at this next term. t1 square over 2 factorial. So here you have t1. t1 square. Because you have the whole term. t1 square over 2 factorial is also here. t1 square over 2 factorial is also here. So what is the coefficient of t1? Which is equals to 1. t1 square over 2 factorial. So I am looking at their coefficients. t1 square over 2. What is their coefficient? 3 plus 1. 4. I have coefficient of t1 square. 4 is equal to 1. Now similarly. The coefficient of t2 square over 2 factorial. How do we determine this? Where is it? This is t2 square. What is the coefficient with this? 2. But we need its factorial. t2 square over 2 factorial. Again we have multiplied it with 2 factorial. And we have divided it with 2. And then we have multiplied it with 2. 2 into 2. 4. Here I have written 4t2 square over 2 factorial. So what is the coefficient of this particular term? 4. Plus. The term after plus. Here you have t2 square. So t2 square over 2 factorial. So we have it. Plus. 2 square. Here we do not have to divide it with 2. Because already t2 square over 2 factorial. But 2 square. 4. t2 square over 2 factorial. Okay. I have got the value of this second part. I have determined it from here. So coefficient of t2 square over 2 factorial. Here what I have got? 4 plus 4. Which is equals to 8. Got it? This is 8. Now this coefficient of t1 t2 t1 square over 2 factorial. t2 square over 2 factorial. Why are we finding it? Coefficient of t1. What are you showing? This is the mu1. Okay. This is the mu1. Mu1 is a particular example. 1. So we also have the same answer. 1. Coefficient of t1. t1's coefficient. 1 equals same result. Coefficient of t2. Which is equals to 2. So here you have mu2. Which is equals to 2. Got it? This is our result. Find it. First we have done. Then second we have mu1. Mu2 is also done. T1 square. Coefficient of t1 square over 2 factorial. Variance is equal to variance. If I say variance, you know that the variance of particular x. Suppose I am doing x here. So this is the by definition expected value of t square minus expected value of t whole square. So particular example I have coefficient of t1 square over 2 factorial 4. So this is my answer. This is the expected value of t square. Which is equals to coefficient of t1 square over 2. You have to find variance. So variance is equal to expected value of t1. 4. Minus expected value of t1. If I am doing this for t1. I have written general for t1. So expected value of t1. 1. Because this is the mu1. 1. 1 square which is equals to 1. So variance of t i.e. t1 if I am doing this for t1. So variance of t1 is equal to 4 minus 1 3. Recall what was previous. Sigma 1 square this is the variance which is equals to 3. Result we have 3. So next the variance of t2. Variance of t2. Which value you have? This is the 8. Minus. This is the coefficient of t2. Its whole square. Not 2. Whole square. So 8 minus 4. Which is equals to 4. So variance of t2. 4. Second variance was sigma 2 square. Which is equals to 4. So what you have? Moomin generating function we have easily generated its mean and variance. So in previous example if you remember I had told you that t1 these are the coefficient we have to use t2 coefficient given. Otherwise we will use their mean and variance. Now in particular example how we have generated it. In particular example we have done Moomin generating function. We have developed Moomin generating function mathematically. We have found its mean and variance. And in particular example we have seen given mean and variance how we have determined its mean and variance. So this is a very important example of movement generating. Basically what is movement generating? Expression. We generate its mean and variance. Mathematically and numerically. So this is the example of the movement generating function using the bivariate normal distribution we have determined.


Here's my first program. Print LN, open parentheses, double quotes, the thing that I want to have printed to the console, and the parentheses and the quotes, semicolon. That's it. I run it by clicking this button, and the phrase that I typed in double quotes pops up right here, and this little blank window pops up here. We'll talk about what that's for later on. I can stop the program from running by either just getting rid of that, or pressing this button.


Wondering what to do with all those extra herbs in your kitchen, make my herb butter pasta. Let me show you how Chop up all your favorite herbs toss them into some softened butter with some garlic some lemons That's some salt some pepper roll it into a log take a nice big chunk of that butter with some of your favorite vegetables Your favorite pasta mix it all together in the nine-inch skillet take a nice big bite


Income tax 2023-2024. Pensions and annuities. Get ready and some coffee because we're going to stop the tax man in his tracks with income tax preparation 2023-2024. Most of this information can be found in the line instructions section of the form 1040 instructions taxed 2023 which you can find on the IRS website at irs.gov irs.gov looking at the income tax formula we're focused online one income remember in the first half of the income tax formula is in essence a funny income statement normally an income statement having income minus expenses resulting in net income for taxes we've got income minus various deductions getting to the taxable income typically we would like to be able to exclude income from the income tax equation having income as low as possible resulting in taxable income as low as possible resulting in less taxes we also have to be aware when looking at the income line item of the formula that there could be certain types of incomes that have favorable tax rates not being taxed at ordinary income but possibly other rates such as qualified dividends for example and possibly some capital gains looking at page one of the form 1040 we're now looking at line five for pensions and annuities a and b b being the taxable amount we're going to see some similarities here some crossover to what we looked at in a prior presentation with the iris because we have a similar kind of objective from a government perspective for incentivizing us to save for retirement through manipulation of us with the tax code we then have the form 1099 r this is going to be the form typically used or seen from the financial institution provided to both us and the government the big box is being box one the distribution box two the taxable amount of that distribution box four if there are any withholdings remembering that if you're talking about people that are earning money in their working years they'll get paid typically with w2 as the reporting form if they're in their retired years first a word from our sponsor yeah actually we're sponsoring ourselves on this one because apparently the merchandisers they don't want to be seen with us but but that's okay whatever because our merchandise is is better than their stupid stuff anyways like our accounting rocks product line if you're not crunching cords using excel you're doing it wrong a must-have product because the fact as everyone knows of accounting being one of the highest forms of artistic expression means accountants have a requirement the obligation a duty to share the tools necessary to properly channel the creative muse and the muse she rarely speaks more clearly than through the beautiful symmetry of spreadsheets so get the shirt because the creative muse she could use a new pair of shoes if you would like a commercial free experience consider subscribing to our website at accounting instruction dot com or accounting instruction dot think of it dot com we're expecting to see more 1099 ours less w2 is typically then the distribution code is going to be quite important and this box will help us to determine whether or not it's going to be online uh four or five whether it be an ira or pension and annuity okay so then if you have any questions about some of those items you can look at the instructions for the form 1099 are which you could find on the ira's website and that will help you to determine or interpret what's on the form and possibly do further research if you need to from there all right let's take a look at lines 5a and 5b pensions and annuities so you should receive a form 1099 are showing the total amount of your pensions and annuity payments before income tax or other deductions were withheld these amounts should be showing inbox one a form 1099 are pension and annuity payments include distributions from 401k 403 b and government 457 plans in other words these are similar to the ira's except that instead of us creating an ira we had we used our employers typically to invest under these retirement type plans the typical forms being a 401k that would typically used for uh non-corporate entities right i mean non-government entities normal businesses the 403 b possibly could be used for non-profits and government as well as the 557 b so the general idea of all of these are somewhat similar the government trying to incentivize us to save for retirement by manipulating our behavior through the use of incentives on the tax code same concept as we saw with the ira the general concept being during working years we put money into these plans and why do we do that because we get a tax benefit typically when we put the money into the plans and then at retirement time we take the money out of the plans we're currently looking at income that means we're taking the money out of the plan because that's usually when we might have a triggering type of event but to understand the rationale we have to understand us putting money into the plan and why it's resulting in a taxable event when we're taking the money out of the plan when we put money into the plan uh if we get a tax benefit that's why we put the money in meaning some of the income might not be subject to tax at the point in time that we put the money in but rather is deferred and then will be taxed at the point in time that we take the money out hopefully in a qualified distribution at the retirement age noting and remembering these plans are not special types of investment tools a 401k plan for example isn't some some some really special kind of vehicle you're used to invest you're probably investing in mutual funds that or ETFs that are under the umbrella of a 401k plan what does the 401k plan do in effect it restricts you from taking your own money out of the plan or else you'll be hit with a penalty to take the money out unless you have a rationale for doing so you wouldn't do that normally you would just put money into stocks and bonds not under the umbrella unless you're incentivized to do so because you get a tax benefit so that's the whole idea we get a tax benefit when we put the money in when we take the money out we have to pay the taxes that's the general concept okay so then we have rollovers and lump sum distributions are explained later so note if i take the money out before retirement then i might be subject to not only taxes but a penalty which could be hefty therefore you want to not do that when you go from one job to another you would like to roll over if you need to the 401k plan or 403 b in such a way that it will not be shown as a distribution on the tax form but rather as a rollover okay so don't include the following payments on lines five a and five b instead report them online one h so disability pensions received before you reach the minimum retirement age set by your employer corrective distributions including any earnings of excess elective deferrals or other excess contributions to retirement plans the plan must advise you of the year years the distributions are includeable in income all right fully taxable pensions and annuities your payments are fully taxable so meaning they're going to be included in income increasing the taxable income subject to the tax so a you didn't contribute to the cost c cost later of your pension or annuity or b you got your entire cost back tax free before 2023 but c insurance premiums for retired public safety officers later if your pension or annuity is fully taxable into the total pension or annuity payment payments from forms 1099 r box one online five b don't make an entry on line five a meaning you're going to put it in five b representing that it's going to be taxable hopefully this information being reflected clearly on the form 1099 r fully taxable pensions and annuities also include a military retirement paying shown on form 1099 r for details on military disability pensions you can see publication 525 military is also often a specialty area in and of itself because there's a lot of exceptions with regards to the people in military service so if you receive a form rrb 1099 r you can see publication 575 to find out how to report your benefits partially taxable pensions and annuities so enter the total pension or annuity payments from form 1099 r box one online five a if your form 1099 r doesn't show the taxable amount you must use the general rule explained in publication 939 to figure the taxable part to enter online five b now hopefully the work has been done by the issuer of the 1099 typically the financial institution to break out the taxable amount and non taxable amount if they don't do that then you can do your research on publication 939 to figure the taxable part but if your annuity started starting date defined later was after July 1st 1986 see simplified method later to find out if you must use the method to figure the taxable part notice when we think about putting money into retirement plans the annuity when we think about an annuity it's going to be basically a a series of payments that you're going to be pulling out in a fixed amount of payments generally so we could think about retirement plans that are going to be set up in such a way that we're going to be receiving basically annuity type of payments as a type of retirement vehicle whereas we might have this other kind of system where we have money under a retirement plan like a 401k plan in which case we're able to pull the money out and then we might have more control over the money that we're going to be pulling out although we could then have mandatory withdrawals after a certain age like 72 for example in which case the government is saying you have deferred it long enough we want you to pull the money out before you reach before you die basically so you can ask the IRS to figure the taxable part for you for a $1,000 fee for details you can see publication 939 if your form 1099 r shows a taxable amount you can report that amount online 5b but you may be able to report a lower taxable amount by using the general rule or the simplified method or if the exclusion for retired public safety officers discussed next applies so insurance premiums for retired public safety officers so if you are an eligible retired public safety officer law enforcement officer firefighter chaplain or member of the rescue squad or ambulance crew who is retired because of disability or because you reached normal retirement age you can elect to exclude from income distributions made from your eligible retirement plan that are used to pay the premiums for coverage by an accident or health plan or a long-term care insurance contract obviously that's a very specialized kind of area so if that comes up you're probably going to want to do some more research with regards to that particular case the premiums can be for the coverage for you your spouse or dependents the distributions must be from the plan maintained by the employer from which you retired as a public safety officer the distribution can be made directly from the plan to the provider of the accident or health plan or long-term care insurance contract or the distribution can be made to you to pay the provider of the accident or health plan or long-term care insurance contract you can exclude from income the smaller of the amount of the premiums paid or three thousand dollars you can make this election only for amounts that would otherwise be included in your income the amount excluded from your income can't be used to claim medical expenses deductions meaning you can't if it wasn't going to be included in income then you already have the benefit right if it was going to be included in income then possibly if this applies you might get the benefit there of removing it so an eligible retirement plan is a government plan that is qualified trust or a section 403 a 403 b 5 457 a plan caution so you can exclude from income only the smaller of the amount of the premiums paid or three thousand dollars this is true if the distribution was made directly from the plan to the provider of the accident or health plan or long-term care insurance contract or if the distribution was made to you and you paid the provider of the accident or health plan or long-term contract simplified method you must use the simplified method if either of the following applies number one your annuity starting date was after July 1st 1986 and you used this method last year to figure the taxable part so you have some consistency in the method that's going to be used which is a general rule for basically accounting and taxation so two your annuity starting date was after November 18th 1996 and both of the following apply one or a the payments are from a qualified employee plan a qualified employee annuity or a tax sheltered annuity b on your annuity starting date either you were under age 75 or the number of years of guaranteed payments was fewer than five c publication 575 for the definition of guaranteed payments so if you must use the simplified method complete the simplified method worksheet in these instructions to figure the taxable part of your pension or annuity for more details on the simplified method you can see publication 575 which of course you can find on the irs website here's a quick look at it we won't go into it in detail here rollovers so remember that rollovers is going to be a situation you want to make sure to identify and inform people of if they're going from one job to another and they have a retirement plan with one of those jobs and they and they don't want to pull the money out but roll it over generally a rollover is a tax-free distribution of cash or other assets from one retirement plan that is contributed to another plan with 60 days of receiving the distribution however a rollover to a Roth IRA or a designated Roth account is generally not a tax-free distribution so you can imagine the general idea here would be well if you have money that's in investment accounts such as mutual funds but they're under the umbrella of some type of retirement account meaning you can't take it out because you got tax benefits on it then you can't just take the money it's going to be difficult to to roll that money into something else in other words you want to make sure you don't take the money out be subject to penalties and interest receiving a 1099R that has a distribution code that's going to be subject to penalties and interest what you would like to do is possibly go from one institution to the new institution possibly with a new place of employment and say hey I had a old 401k plan here I would like you to roll it over so that it's still under the umbrella of a retirement type of plan the same type meaning you can't typically go from a normal retirement plan to a Roth with a rollover because those two things are taxed differently but if I go from one normal kind of retirement plan to another type of retirement plan that has the same type of restrictions you would think that would be a fair thing to do or something that the government would want to allow you basically to do so that's the general idea now note that a normal retirement plan is one where you get the benefit when you put the money in and then when you take the money out you're going to be taxed on it typically at retirement a Roth is reversed meaning you get taxed on it when you put the money in it grows and then and then you get the tax benefit when you when you when you take the money out so it's kind of the opposite so converting from a Roth to a normal or a normal to a Roth is more complicated than simply rolling over from a normal retirement account to a normal retirement account you would think so use lines five a and five b to report a rollover including a direct rollover from one qualified employer plan to another's or to an IRA or SEP so note that the IRA so if you go from a place of employment where you have a 401k plan for example and then you become self-employed or you just stop working or you work for someone that doesn't have a 401k plan then what are your options well well if you want to take the money out of the 401k plan then you could put it possibly into an IRA which you would think would be kind of the non-employee equivalent of the same kind of concept right so if I don't have access to a 401k plan then I can use the IRA to have a similar conceptual framework to get at least some tax benefits okay so enter online five a the distribution from the 1099 r box one from this amount subtract any contributions usually showing in box five that were taxable to you when made from that result subtract the amount of the rollover enter the remaining amount online five b so if the remaining amount is zero and you have no other distributions to report online five b enter zero so if the whole thing is rolled over which is often the case you might roll over the whole thing see publication five seven five for more details on rollovers including special rules that apply to rollovers from the designated Roth accounts partial rollovers of property and distributions under qualified domestic relation orders lump sum distribution if you receive a lump sum distribution from a profit sharing or retirement plan your form 1099 r should have the quote total distribution to end quote box in box to be checked so you may owe an additional tax if you received an early distribution from a qualified retirement plan and the total amount wasn't rolled over so in other words if you got the whole you know a lump sum amount pulled out that could be indicated but that often might happen when people are going from one job to another in which case you have to be careful to do that because if you pull all the money out you could be subject not only to taxes but also to the penalties for early withdrawal so for detail see the instructions for schedule two line eight enter the total distribution online five a and the taxable part on five b the totals for details you can see publication five seven five


You can try out nature with a pitchfork, but shake keeps on coming back. Haras! KTVHR, Institute of Photography


Hi everybody. My name is John V. I'm actually pretty excited to be here and take you all through my experiences of building analytics products both for business intelligence users as well as cloud monitoring applications. So without much further ado, let's jump into my presentation. So I, I'm a product manager at follow alter networks at the moment and I build the autonomous digital experience management product along with the cloud monitoring product for Prisma access. And typically this is to help ID admins and users figure out, you know, issues in their cloud monitoring in the cloud infrastructure, looking for specific issues around application user experience as well as auto remediation and things like that. A little bit about me would be I, so I've been a product manager for quite some time now I started at, I actually started as a developer software engineer at SAP and worked for the CRM product with the building engine with CRM and right after that I joined Salesforce as a solution engineer worked on the pre sales organization and, you know, worked pretty closely with customers figuring out their niche use cases and product fits and demos, etc. Which was a great learning experience for me because I was so close to the customers and understanding their wants and needs made me made me think about how that could influence the product. And which is where I pivoted to a product manager role internally within Salesforce and I moved to Einstein analytics at that time which is now Tablo CRM, and I worked as a product manager on the analytics templates product, which typically helps business intelligence users build their sales analytics, service analytics, market analytics, all of that quickly, right from the templates that are available out of the box, ensuring fast time to value. Also, ensuring that they can follow some of the best practices that we put together after, you know, numerous customer sessions, etc. So that was a that was what I did at Tablo. And currently, I am a senior product manager at Paul Walter networks. And I work on the product autonomous digital experience management. A little bit of learnings on the way have been predominantly around building analytic applications and my also my major in college was data analytics and data science so I feel it was a natural progression for me to, you know, do to start to work on products that facilitate other fellow fellow learners such as myself in data analytics and data science fields. So, I, as you can see I have a big, you know, a varied experience all the way from software engineer to pre sales to product manager so I think I that definitely helped build my skill set over time, and definitely helped me view a product in multiple ways to kind of assess how the users are using it how the sales is pitching it how the builders are building it so it was a very unique perspective that I developed by across the Swedish experience had. So, I want to take you through a little bit of my learnings from the previous two products that I have worked. For sales force I pretty much worked on a business intelligence tool so the kind of users that that I focused as while building the business intelligence and analytic platform was predominantly sales service and marketing users. Now, these are some users that want to generate dashboards and generate reports in a timely manner. They want to get drive insights out of the data available quickly, and they want to stay informed about metrics that move the needle for them that they care about. And they want it in a place where they do their everyday business. So, which is where contextual analytics becomes really important. So, that was something that sales service and marketing users cared about. Now, there's still a team that utilizes the analytics platform to build these dashboards and reports for the said end users. That's the large organization of business analysts data and data science. So for them, what they cared about was, you know, predominantly the tools that's required to develop these dashboards and reports quickly enable ad hoc analysis. So if there's any questions that they were encountered with or they needed to provide answers, we should provide a toolkit for them that makes ad hoc analysis, relatively simple and easy to build. And they also have to deal with a large variety of data sets, the data sources being disparate, they, you know, they had to bring data from multiple sources, prep the data before that was visualized. So we had to ensure that the analytics platform also provided an ease of use and data management and prep tools that enabled business analysts and data analysts and like typically dashboard builders to quickly get their, get the dashboards and reports out or quickly get their, you know, get up to speed with some of the dashboards that they needed to build. They also cared about the fact that the platform needed to be or the product needed to be fully customizable and extensive fully customizable because oftentimes the dashboards out of the box may not suffice all the requirements and typically they also tend to use data sets that are outside of a single product or platform to build that holistic 360 degree view for their end users, which is where the extensibility of the platform was very important. Also customizability, right, and, you know, for some reasons that they for some users that they cater to one half of the view was very important versus the other for that we needed to build a fully customizable platform that lets users choose a variety of visualizations to present their data in a variety of filtration mechanisms as well as publishing mechanisms. So all of this needed to be cater to with me analytics platform. And finally, there's another group of users who mainly work on generating these predictive insights for their end users. And they typically cared about the ML capabilities and running the model and hypothesis testing and figuring out if that model is working well, how the accurate their predictions are, etc. So that's another tool, a plethora of features that we had to build with me analytics platform for that specifically cater to data scientists. Right from Salesforce to the product that I own and build right now is the cloud infrastructure monitoring and analytics platform.  They typically care about fires and how to fight them. So they want to understand or they want to be notified about change of events or any incidents that occur right there. And they typically also look forward for look, look to they typically also look to identifying the root causes of those events and incidents if that which one needed to be solved. Right so which makes monitoring issues in real time and real time aspect of the platform really really important for these users. And normally detection catching all of these issues early on in time to prevent or at least mitigate the impact is very important to the users to the current users, as well as in a lot of situations where it comes to infrastructure and network. Things are tied very closely to the amount of bandwidth they could use amount of licenses that are distributed across an org so based on their usage it's very important for them to predict what kind of capacity that will be required going forward so that that's where the capacity as planning aspect becomes really important. To ensure this, you know you want to make sure that you're catching telemetry building this rich repository of data with logs and metrics and telemetry across different vantage points within the infrastructure, bringing them together, correlating some of these metrics and incidents to provide an easily consumable insight for your end users, making their analysis to be simple and giving them more time to respond and remediate these problems rather than, you know, having them spend time on assessing the root cause assessing the issues and going back a historical trail and figuring out what's happened. Sometimes that is definitely important where you're figuring out where they do want to figure out the retrospective the incidents and events through historical analysis but oftentimes it is very proactive so the real time and the predictive nature of a platform becomes very very important in such a scenario. So there's a couple of points or a couple of themes that were similar across the analytics products that not only have I built but also studied, you know, studied while building out the competitive analysis viewpoints etc. So, across all of these products there's some themes and those predominates focus on the first one being they focus on unlocking insights that drive action ability and decision making. We want a rich feature set that enables visual storytelling, either through a do it yourself mechanism or build that within the analytics you're building itself visual storytelling is very important when it comes to consumption of these analytics themselves. For a analysis to be complete. Ideally we need them to be descriptive, diagnostic descriptive and predictive. I'll take us through what each of these mean and how they played out in the success of the previous products in the upcoming slides but I wanted to call them out quickly here. It's also important for users, not just to deliver dashboards and reports right they need these insights, where they can view them. They need to see these automated insights where they can actually take action and where, you know, in a timely manner that they can act quickly. That's insights where they're, you know, providing insights where they are actually needed for the end users. Then comes extensibility, which is APIs and customizations and, you know, furthermore is automated insights. So let's talk a little bit about the actionable it's the whole agenda of building a analytics dashboard report is to answer a few questions. Typically, users tend to work backwards where they identify the questions that need to be answered. They understand the metrics that the person the end user that they're building it for and user that's consuming these analytics are very, you know, they care about these metrics. So to that end, we need to focus on a design that makes correlation of these metrics easy. And we ensure that the design also accounts for this. Eventually, as an outcome of the analysis or, you know, the outcome of the deep dive in data that the end user does is to take action to make smarter decisions. Oftentimes, you know, customers who appreciate the product actually love that you can embed the actual ability. You do an analysis work through a flow and finally end that in an action that influences some a better outcome for the end users. So to that point, embedding actions within these visualizations is really, really important to ensure that the analysis they have done needs to actions. So if there were cornerstones of design or pillars that you guiding principles to build these analytics solutions, driving action ability or providing actionable insights that drive a better outcome is the number one guiding principle that, you know, you need to follow while building the analytics products or providing if you are building the analytics within the product integrated within the product, make sure that there is provision for it. Or if you are building a platform itself, make sure that there are there's a toolkit that's available that enables users to embed this action ability within their analytics platform within their dashboard. The next important that I've noticed in like building a successful analytics platform or product is visual storytelling. So it's not just important that you combine graphs, plots and tables in a single view, but it's also important to focus on the design elements to add a compelling narrative to the analytics that's built. Oftentimes you notice that analytics is not just for consumption, but it's also to present to a larger group of audience and some of the findings, which is when visual storytelling becomes really powerful and really strong. You're able to drive your point through a narrative that you have formed out of the dashboard that, you know, you could build on through your product. When you walk through a story of a user trying to perform a specific analysis, make sure your design validates that story so that way you're able to present a story accurately for instance. For instance, if you are trying to help a sales leader identify where their quarter will land, make sure that you start from the metrics that are important. Where they are today, the reasons for that and what can be improved this now this design makes for a strong narrative and also engages the audience when you're when you're presenting your insights. Also, when you're building the platform, make sure you provide the necessary toolkit such as a library of visualizations, recommendations if possible, some standard design patterns that make building this visually appealing, beautiful dashboards and reports easy. Make it easy for users to navigate between the different widgets, correlating these different widgets or placing these different widgets that make sense that need to be interpreted together in a single view, and also provide a wide variety of two kits that is necessary for drilling slicing and pricing the data as we popularly refer to this as so that way you can that way you're you're equipping your end users with the right set of features to build a visually compelling dashboard and reports. Let's talk about complete analytics now. So in both the products that I've worked on the business intelligence and the digital experience management product, I have noticed that you build analytics analytics come a complete circle when you are addressing what is happening. So this is the first level of analysis that most end users would do which is descriptive right what is the exploratory data analysis the pretty basic ones of what is happening and you help your end users see and interpret this data. You have drawn data set and you're just trying to build some roll up aggregate and measures and metrics and trying to compute the percentages to see what has changed over time and this is this is rather descriptive this is the basic. The basic element of analytics. You further strengthen that with the diagnostic analytics that is when you're figuring out. I'm seeing my data but why is that happening right like why what is the cause and can I see a pattern within that so that's that's that's the next step of understanding of presenting the analytics. You also want to understand, given, you know, given the general richness of data that you have, can you leverage some of the AI ML capabilities to understand what could happen. You know how you want to ensure that there is also the outcome that you predict also has some level of accuracy so that way, your end users are looking at what's happening, why is that happening and what could happen. Right so. And based on that, you need to finally give a list of recommendations or a list of steps or actions that the user could take, which is the prescriptive part of the analytics. Now, providing these four elements makes for a complete analysis. For instance, if you're looking at the revenue numbers of an organization, you want to look at where my revenue standing. Why is my revenue the way it is so what are the deals that are contributing to it, etc. If can I hit my goal this quarter or not. And finally, if I am not able to hit my goals, what should I do to ensure that I can hit my goals this is an example of one of the previous. You know, workflows that I designed and it was really validated by end users on the importance of this analytics. So, and you should also keep in mind to provide insights where they are needed. Oftentimes, your end users perhaps care about one or two metrics which are very important for them, which they want to be notified about all the time. So, to provide that this two mechanisms that you could use one is contextual analytics that is you embed your analytics into your solutions.  Right there so you're providing them a holistic view of the problem with the data to back up and also in equipping them with the necessary mechanisms that they can act on. When it comes to notification alerts, it becomes very important, especially in situations where you have to fight fires constantly that you be notified proactively about issues that might cause some sort of a service disruption, or if you're not hitting your goal, these are the metrics that users want to be notified about. So, either you build that in the product, you build a notification and alerting system where you can notify users of events and metrics as soon as they happen right within the product or equip your users to build them themselves. Some sort of customization capability or building a developer toolkit if you may to provide these alerts and notifications to their end users. This enables end users decide and also you by this way you're also enabling your end users to decide which metrics and changes they really care about and use their own discretion to build notification alerts around them. It's not just it's one step to provide these notifications and alerts and also another step to make consumption of them easy. So, you know, you often what's what was proved in the past minor experience was to make the consumption mechanism really really easy and reliable. Use popularly used tools such as Slack, email messages to get these notifications upfront to customers so they're aware of the data changes or events as and when they occur in a place that's very easy for them to access. And last but not the least, the extensibility of a platform becomes very important when there's disparate data sources. So, when you want to build a large scale data analysis tool, you it never, it never happens in isolation you off users tend to ingest data from many sources to build a 360 degree view, so that capability to export data from additional sources. I mean import data from additional sources or leverage the API's and connectors to get data from third party systems analyze them in your own platform or make the or build a rich set of API's that users can consume to get the data out of your system becomes very important and really necessary for end users. And follow that out by customization users always require the ability to make customizations to the dashboard you presented for instance, oftentimes the time of time of the analysis that you're performing becomes important so you need to be able to provide the customizations of that they're looking for, or, you know, if the end user feels like visualization could be represented in a different form. That is something you could offer up as a customization technique. If there's any specific changes to the underlying query that the user wants to do that's another customization. So, a rich set of customizations rich set of publishing methods that you could extend to your end users will definitely move the needle in terms of adoption and engagement. That's some of the insights that I gathered. I learned during my time as a product manager for analytics products and it's an ongoing journey. You know, I learn about it every day. I hope the webinar was useful for the audiences who attended and feel free to leave me any comments or questions. I'm happy to answer that offline. I hope you had as much fun listening to this as I had presented it. Thank you.