Разработка индекса многомерной бедности (2020)

Thanks to UNDP and OPHI for this wonderful opportunity. It was really great to take this course, I am more informed, enlightened and my perspective about poverty broadened. Thank you.

Thanks to UNDP and OPHI for this great opportunity… Thank you so much once again…

I thank Lord Yahweh My Father for the completion of this great course. Thank you UNDP and OPHI.

Hi I am interested in this course. Multidimensional Poverty Index: using the MPI to Inform the SDGs. How can I learn and what is the schedule Please. regards David Brynerd [email protected], 8978323127

hello, how do i interact with the course coordinator ?

Hi Fellow Participants, we can connect and share ideas on developing an MPI for our various nations. We can connect with the link below
https://www.linkedin.com/in/johnsonaniekanm/

From where I will get my certificate number

Hello,
I am starting to study from introduction but you are telling me that i haven’t access.. as good as possible you have to make me being accepted and getting access

Thanks

Hello
It is possible to have “Synthetic_MICS_MPI_do_file” by Conconi, Adriana, J.M. Roche and M.E.

Hi! I enrolled the course but there’s no video available for lesson 1. Anyone else having this issue?

Hello
How to enroll the course??
There were no blue enroll button

Hi Ms. Julie,

I couldn’t click on the enrol button, its show “open course” in grey colour.

Dear Ms. Kapuvari,

The “Enroll” option is not available in my account.
Please, cooperate.

Regards,

DMPI MOOC is not opening, What can I do for It.

How can i enroll for this course?

Hi i cant seem to enroll myself for this course which is now being offered as a self paced learning course. please advice

Hello how do I enroll to a private course rooms. With this particular course Human Rights and the Right to Healthy Environment? Thank you!

Hi how can I enroll for the self-pace modules? Thanks!

Hi how can I enroll for the self-pace modules? Thanks!

Good morning everyone!
Esteemed,
I would like to thank the Oxford Poverty and Human Development Initiative (OPHI) and the United Nations Development Program (UNDP) for initiating this excellent course, to the teachers, facilitators and all staff involved in the process.
The PMI is a rich tool that, when used well, helps countries achieve their poverty reduction goals without leaving anyone behind!
I have the great privilege of being part of the team that is preparing the PMI of my country (Angola) and this course was very useful.
THANK YOU!

Thank you for the highly informative course and for extending the endline. Good luck and strong health for everyone.

Thank you for the course. It was really useful.

I registered for the course on 26th April. Can I get certification if the course end date is gone already?

Thanks for the highly informative and contextually relevant course. Looking forward for more courses like this.

I share the positive comments from my colleagues. Thank you UNDP and OPHI for the effort of their staff and the institutional team to give us this course. I am more than satisfied, in the process of further learning and motivated to learn more about multidimensional poverty. It is very interesting. Thanks.

Hi! Can you confirm when you will start the intake for the next batch of participants, It mentions that the course started on March 16 and it ended on April 26.
Can I start my course now or do I have to wait for a new course starting date?

Thank you very much UNDP and OPHI for this wonderful learning opportunity despite the COVID-19 crisis.

I’ve just joined the course and found today is the last day. Is there any way in which I can participate and complete the course?

Can someone tell as to when will the next batch start for the course? Looking forward to joining the cohort and learning this important topic!

Great course will be really usefull!

Many thank you UNDP and OPHI for the learning opportunity. Also thanks and congratulations to all participants. Looking forward to learning more.

Thank you for this incredible opportunity! I have learnt so much!

Thank you so much for offering this course. What a journey it has been. Looking forward to apply my learning in my policy advice.

Thank you very much for this opportunity. Looking forward to learning more from you

Many thanks for the course. I enjoy it very much. Looking forward to continue learning.

Thank you for the learning opportunity. I look forward to learning approaches and methodologies for Impact assessment as my next course

hello everyone! I successfully completed the course!! Thanks for UNDP and OPHI for this great opportunity.

Hello everyone, I’m Asikaralu Okafor from Nigeria. I’m glad to be here. I look forward to having an informative and enriching experience with you. Thanks

Successfully completed this online course. Thanks to United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI), Oxford University for designing such an informative course. Great to see the case study in the context of Pakistan national MPI and Ehsaas programe is also a part of this course and breified by Dr. Sania Nishtar.

Hello everyone!
I am from Tanzania. I have successfully completed the course and earned my certificate, I am very happy and grateful. I hope to utilize the skills to the fullest in my community so as to get rid of poverty.
Thanks.

Yeah, Finally completed it within a busy time to respond COVID-19. As I am working for a long time to eradicate ultra-poverty, this course will add value to my goal to eradicate ultra-poverty from a village or slum to the world. Thanks for giving me the opportunity to take this excellent course indeed!!!

Dear Colleagues and facilitators

Thank you very much for the discussion and I really enjoy the course.
This course really supports my daily work as a Monitoring and Evaluation Officer and also supports my thesis with Title Multidimensional Child Poverty Index and deprivation and the context of Timor-Leste adopt a Global MPI framework using secondary data from census 2015. I excluded nutrition indicators under Health Dimension and add one indicator ” Birth delivery without assistance from a health professional (Doctors, Nurses, and midwives).

Thanks very much to UNDP and Oxford University for putting together this magnificent course. I also want to thank the Professors, the Facilitators and the Staff of Ophi-University of Oxford. MPI certainly is a great methodology developed by Alkire and Foster to whom my deserve acknowledgement, which will foster the designing, implementation and measurement of the results of the poverty policies to enhance their performance and impact to achieve the poverty reduction without leaving no one behind!

I will thank you providing me with the contact data, guidelines and suggestions to keep in contact with you to find out first how we could bring back Argentina to the Multidimensional Poverty Peer Network to work together towards achieving the SDG#1 No Poverty, an secondly to work in MPI research to foster the Sustainable Development for the Country, the Region and the Globe!

Once again thank you and I look forward to hearing from you!

Kind regards

Have completed the course and indeed it was the best course on MPI. Thanks to Learning for Nature, OPHI and UNDP.
Wondering if we can have the slides of all modules, shall be easier for us to design our own learning module for the stakeholders we interact with.
Regards,

Thanks very much to UNDP and OPHI for this amazing MOOC. I have enjoyed and learned a lot about an issue that was completely unknown for me. I wish some day I could help to develop and implement an MPI.

I got to know about this course through a post in a Facebook group and I am excited I have managed to complete it. I am considering doing my MSc dissertation in relation to MPI.

Thank you for putting together this course and offer the extension that allow me to finish the course. It was an amazing 5 weeks.
All the best
Pedro

Thanks for UNDP and partner organizers for offering this course that comes in a timely matter amid COVID-19 crisis. All the best and thanks again.

I was very satisfied with the Course. The course presented a very interesting topic and I understand better about poverty and how to measure
I want to thank all the facilitators for the qualified way that they transmit the related knowledge as various themes.

I am so happy that I was able to finish this course, I was always lagging behind but due to the extension of the due date I was able to finish and for this, I would like to thank the facilitators for allowing some of us the time to complete this course. looking forward to the next course.

I must say that I am extremely happy I finished this course despite the lockdown due to the Covid-19 pandemic. I had limitations ranging from the use of internet and lack of power supply in my area in Nigeria. Notwithstanding, I finished the course because I was already engrossed in it, seeing the wealth of knowledge I would forego, I didn’t complete it. Thank you UNDP and OPHI for this opportunity.

Thank you very much UNDP and OPHI for this wonderful learning opportunity despite the COVID-19 crisis. The significance of the course is much higher due to COVID-19 pandemic.

my suggestion is that if enrollment number of this course will put on course certificate, it will give more validation to the course.

Hi. the course is over but I have one methodological question the coordinators may like to respond before April 26 :). How will the correlation between the dimensions of MPI or correlation among/between indicators used in the MPI will affect the MPI measures?( Will it lead to over/under-estimation or will be any other affects?) It might have been covered in the course but i think it will be easier to ask you directly. Thanks and Regards,

Nazir

The 17 Sustainable Development Goals is the most important international agreement to achieve Save Lives and Save the Planet, with the imperative of “leaving no one behind”. Ending tyranny poverty is an obligation signed by all the governments of the world. This poverty measurement course is very valuable to know if individuals and families are finding all their opportunities. Thank you for this opportunity.

Thank you very much UNDP and OPHI for this wonderful learning opportunity at this unprecedented COVID-19 crisis grappling the globe. The relevance of the course have gone much higher due to COVID-19 pandemic. I hope learning from the course could help the countries to review the SDG2030 progress and plan suitable actions to achieve them.

Thank you so much UNDP and OPHI for this course.

Completed…in the midst of Covid-19 anxiety!!

Thank you UNDP and OPHI for this course. It was very helpful to learn all the aspect of MPI. It help me to understand the strategy using national MPI as a policy tools. Does this course provide the material for the participant?

Thanks, the course was very good.

I thank UNDP-OPHI for offering this training that my self I gained over of my expectations. Costa Rica, Mexique, colombia, South Africa etc…applause for your contributions. MPIs is a sure deal with emphasis for the developing countries where I belong to. Dr. Sabina and your team thank you very much for the sacrifices.

Thank you very much for this course I have learned a lot and it is very useful for my work, it was an honor to have received lessons with such important teachers who contribute so much to the development of efficient public policies around the world.

Thank you so much for this opportunity

Thanks OPHI and UNDP, this is wonderful experience.

Thank you very much for the availability of the MPI course. It is an excellent opportunity to monitor the evolution of poverty and achieve the SDG by 2030 in countries around the world.

A brilliant course for quickly understanding MPI. I found it very relevant and would apply the learning accordingly. Thanks UNDP and OPHI for designing such interactive course.

The coveted Certificate has been downloaded successfully, thankful to all concerned.

Thank you very much to UNDP and OPHI’s for designing such amazing and informative course. the cases were very practical and the steps of the MPI approach are well organized and comprehensive. it is one of the best courses I have learnt in my life and gain a lot of knowledge and now I know what Yemen needs after the war ends in the post conflict phase.

Thank you so much Dr. Sabina Alkire and the super OPHI’s & UNDP teams for this wonderful walking around the world and the MPI as a critical tool to understand the ‘micropoverty’
This MOOC helps us to rethink our work in our countries for the next years!!!

Thank you very much for the opportunity to learn many aspects of MPI, the course was very useful and well designed, I will put in practice in my country.

I would like to know if it is possible to revisit the contents of the previous weeks to review and deepen my knowledge?

It was a fantastic learning moment, I am inspired to put into practice what I learned

I am really thankful to Elena Danilova-Cross for your comments- 7756, dt.15th April and Bishwa Tiwari on your comments 7820 dt.16th April respectively which being shared on behalf of Sabina, to use apps and run on-line surveys to cover those left behind which are normally out of households or registry data. I do agree that in COVID19 crisis the risk are predominant to those homeless, and slums in concentrated areas and seasonal migrants. Besides, to share the insights that the Cabinet Secretariat of India has identified NITI Aayog as the nodal Department for making efforts to improve India’s rank in Global Multi-dimensional Poverty Index (Global MPI) as computed by UNDP and OPHI for more than 100 countries annually/bi-annually. And in the meantime NITI Aayog is collaborating with UNDP and the OPHI for looking into how to improve India’s Ranks in the Global MPI as well as in measuring a national MPI for India.
In this I would like to comment that one app developed by UNDP India, which is meant for Supply Chain and Logistics Management of COVID-19 protecting materials, particularly the N-95 mask, Triple Layer Mask and PPE is in the process for operationalization. For this all the state level and district level UNDP officials working under eVIN Project, Health Systems Strengthening-HSS had conducted the survey and on-line training, implementing real soon.

As of today, the total number of coronavirus cases in India has soared to 13,835, and fatalities to 452. States like Maharashtra, Delhi, Rajasthan and Madhya Pradesh continue to witness a spike in their number of confirmed corona-positive cases, while Kerala and Andhra Pradesh seem to have successfully flattened the curve. The Union health ministry has identified 170 districts as Covid-19 hotspots and 207 districts as potential hotspots. Total lock down prevails now in our country, First Phase-22nd March-14th April, Second Phase going on starting from 15th April to continues till 3rd May, 2020.

The Union home ministry on 15th April came out with guidelines detailing some relaxation during the second phase of the lockdown to revive economic activity. Come April 20, the government will allow agricultural activities, besides construction of roads and buildings, in the hinterland, which has so far been less affected by the coronavirus pandemic.

The Union Health Ministry has classified 170 hotspot districts in the Red Zone, which has a large number of Covid-19 cases and high growth rate, while 207 non-hotspot districts with clusters and non-infected districts have been classified as Green Zone.
Red Zone is further divided into two groups i.e. there are 123 hotspot districts with a large outbreak and 47 hotspot districts with clusters. All the major metros including Delhi, Mumbai, Bengalauru, Chennai, Kolkata, and Hyderabad are part of the list of hotspots notified by the Health Ministry. Tamil Nadu tops the list with 22 districts in the hot spots while Rajasthan and Maharashtra are second on the list with 11 each.
Among the list of hotspot districts with large outbreaks are the nine districts of Delhi – South, South West, Shahdara, South East, West, North, Central, East and New Delhi.
I strongly felt that we need to give our best efforts by providing special intervention to analyse the vulnerabilities of marginalised and poor people in these hot spots areas of COVID-19 affected areas.
I hope on-line survey for vulnerable and left-out are coming up soon. If on-line survey for left-out or for survey of MDI, MVI and MTI are taken up, I will take positive participation, provided I got approval from higher ups, to meaningful and prompt mitigation of poverty in our country on one side and to reduce the crisis of COVID-19 on the other.

Respected Mam/Sir,
The course was very helpful and the insights for testing the robustness will be helpful for my research work. Requesting the instructors to give the way through which the MPI analysis can be done using the software (STATA, R). I would like to know whether this materials will be available on this site in my account even after the completion of this course ? Mam can you please ask the course instructors to give some insights of doing this on software in the extended weeks?

with Regards
Manjisha Sinha

I think there should have an arrangements for providing printed original certificates with original signatures of the signatories to all/willing participants, even if it costs a small amount of money on the part of the participants.

As you can see from the picture below and as I wrote yesterday, I finished the course but there is a technical issues so that I can’t find the “mark as complete” at the end of this page so I can’t obtain my final diploma.

Can you please solve the problem? I sent the survey almost five times and do not intend to fill it again. I also tried to reach out to the course coordinator but it was impossible and it is quite disappointing.

Thank you

stefania

It is a high-level technical and political course. It not only generates understanding about the MPI but also how it can be used in indicators at the program level developed by municipalities and in the evaluation of social programs. It helped me understand the importance of incorporating it into national development programs, as a tool for institutional coordination and accountability to society. Thank you so much! Congratulations!!!

Thanks the team for the great work. This course is very interesting. It helps me to learn another approach to measure the poverty. I was used to the monetary. I have work with a private institute of agricultural research and our questionnaire contained almost needed dimensions and indicators to measure the MPI, but it did not compute. I’ll try to apply the approach on the database.

How can we get all supports (video and PPT) used during the course?

Will there be an extension of this program? I have not made it through and not sure if I can before the end date.

I have just completed the course successfully and downloaded the certificate. I found this course is very impressive, comprehensive and pragmatic. I wish to thank the coordinators for organizing this course with a range of resourceful professionals’ lectures and making available for us to learn from other countries experiences. The skills and the knowledge gained from this valuable course will be very useful for me to continue my work and studies in the field of poverty measures.

I successfully completed the course and downloadded the certificate, thank u so much for this life changing opportunity.

In general, a Multidimensional Poverty Index (IPM), complements the monetary poverty and allows to identify and know the deprivations experienced by the population in various aspects of their lives. This is how we can better classify geographic areas, population groups, families or individuals for the distribution of public resources in a priority manner due to their deprivation. Therefore, the results of the IPM can be applied in the formulation of the public budget, and in the design of specific public policies.
In case of Angola the support from Head of State, diferrents political parties, civil society, and donar community would be critical to enable the MPI to be used as a policy tool.
Usually the Executive’s options in the fight against poverty have been controversial and are not always well accepted by all actors in society. The results of the MPI, can help in decision making and in dialogue with different stakeholders. Based on the evidence found in the MPI, different political actors can better argue their positions in relation to the policies they defend and the Executive can better explain their decisions on the distribution of the State Budget.
They can also have a better view of inequalities between urban and rural contexts, and to make better social projections and improve the monitoring and evaluation of public policy, in benefit of the neediest population.

Completed the course & downloaded the certificate. A big thank you to all course participants, course co-ordinators & lecturers.

I find this course very impressive. Understanding poverty in a multidimensional sense rather than just monetarily classifying people as poor is very insightful. From the designing of an MPI to its implementation by governments is interesting, particularly with the case studies attached to the course, helped me to understand how countries are addressing poverty through the instrument of the State, using social and economic policies, and budgetary allocation as tools. I hope to find an opportunity in my country, Nigeria that allows me put into use the knowledge gained from this course.

Thank you, UNDP and OPHI.