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  Closing Statement by

Our panelists have done a remarkable job in shedding light on the concept of natural-based solutions, and on how these can be better applied to help us overcome complex challenges, and accelerate the implementation of the 2030 Agenda. (...) Distinguished delegates, In my view, the clear message from today’s meeting is that nature-based solutions offer concrete answers to problems plaguing our world, and that they should be considered complementary to – not incompatible with – technological solutions. I would like to close by urging you to not miss the opportunity to embrace them and apply them in appropriate contexts and environments.

Score: 805266.9 - https://www.un.org/ecosoc/site...-president-15-october-2019.pdf

  Call for Innovative Solutions for Decarbonisation That Contribute to a Just Green Transition in Serb

In addition, the Challenge Call will encourage the strengthening of cooperation between companies from Serbia and companies from Japan and the European Union that apply the green business principles.  WHAT SOLUTIONS ARE WE LOOKING FOR?  (...) For example, by applying new technologies, these solutions should enable greater use of energy from renewable sources, improve energy efficiency, contribute to more efficient use of natural resources and reuse of organic and municipal waste, as well as introduce automation and digitisation into the organisation and production process.  (...) WHAT SUPPORT WILL THE SELECTED SOLUTIONS GET?  At least 20 teams whose solutions are selected will receive expert and mentoring support to develop their ideas, and at least 5 of the best solutions will receive financial support to implement their ideas in practice. 

Score: 776105.76 - https://www.undp.org/serbia/ne...e-just-green-transition-serbia

  Hackathon | WSIS Forum 2019

Hackathon | WSIS Forum 2019 Home Hackathon #Hacking Solutions for lifelong learnings and Livelihoods Develop your ideas into tech solutions to ensure inclusive and equitable quality education! (...) This is exactly where solutions are crucially needed to develop digital solutions that are more inclusive for users who need the most support. (...) …are between 18 and 35 years old. How to apply: Two ways to register: Apply as a team of 5 to 7 participants.

Score: 775108.1 - https://www.itu.int/net4/wsis/forum/2019/Home/Hackathon

  UNICEF Innovation Fund Call for Data Science & A.I | UNICEF Office of Innovation 

What we’re looking for We are currently looking to invest in companies that are using data science, machine learning, artificial intelligence or similar technologies to build solutions that respond to the following questions:   Are you using new sources of data such as satellite imagery or social media and applying data science or artificial intelligence techniques to understand the physical world that we live in?   (...) **Deadline February 28. Who can apply You must be registered as a  private company  in a  UNICEF programme country; You are working on open source technology solutions or willing to be open-source under the following licenses or their equivalent: BSD (software), CERN (hardware), or CC-BY (content)  You have an existing prototype of the solution with promising results from initial pilots Your solution has the potential to positively impact society. (...) Check out  www.unicefinnovationfund.org  and our  FAQ’s  for more information. Apply to receive seed funding Deadline of submission: Feb 28, 2019 | Women led projects are encouraged to apply. 

Score: 768925.5 - https://www.unicef.org/innovation/FundCallDataAI

  UNITED

GE.04- ATG Mandate Mandate Applied Technologies Group (ATG) 1. Objectives 1.1 Purpose The purpose of the Applied Technologies Group (ATG) is to be responsible for the creation and maintenance of the trade, business and administration document structures that are based on a specific technology or standard. (...) UN/EDIFACT Directories, Reference libraries, etc.); · A series of coherent, consistent and normalised syntax solutions that are aligned with domain reference models for publication in a designated UN/CEFACT information repository by the Information Content Management Group (ICG), i.e.: · UN/EDIFACT messages and their support directories; · XML Schemas · UNeDocs · Procedures for the maintenance of the syntax solutions; · Mechanisms for ensuring the quality of the syntax solutions; · Technical specifications detailing the design and production rules, guidelines and checklists, that shall be applied when developing and maintaining the various syntax solutions, including syntax specific UML profiles; · Proposals, including draft Recommendations for review and approval by the UN/CEFACT Plenary; · Maintenance of Recommendations/Technical Specifications, in liaison with TC154: · UNECE Recommendation 1 (UN Layout Key), maintenance of the technical aspects; · ISO 9735 - UN/EDIFACT Syntax. 3. (...) Technical issues The technical issues that ATG will address include: · rules for transforming UMM compliant models into specific syntax solutions · rules for transforming CC/BIE conformant components into specific syntax solutions · UML profile(s) for specific syntax based solutions · context application rules including an extension and restriction methodology · design rules for creating optimised syntax based solutions · management, versioning and maintenance of UN/CEFACT specific syntax based solutions Deliverables The key deliverables of ATG are: · syntax specific naming conventions and design rules, including context application rules and specific syntax rules for message assembly · transformation rules and where appropriate scripts for producing specific syntax based solutions · UML profile for modelling specific syntax based solutions · specific syntax schemas for message structures and reusable components · specific syntax schemas for the Business Process Specification · specific syntax schemas for describing Business Process and Information Models, to include Core Components and Business Information Entities, as stored in the Registry/Repository · syntax specific expressions of the Core Component Technical Specification context constraint language · UN/CEFACT profile for the ebXML CPP/CPA · Procedures for processing change requests against specific syntax deliverables · Technical Assessment Checklist for specific syntax deliverables · Technical Assessment of all specific syntax deliverables Membership All of the rules in this section shall apply to the ATG and any ATG Working Groups, Project Teams, and other ad-hoc groups created.

Score: 768771.63 - https://unece.org/fileadmin/DA.../plenary04/docs/04cf11a1_e.doc

  Page 74 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine lea

A irst work emerging from the ML commu‑ ability solution. Afterward, Section 6 presents an evalu‑ nity [10] analyzes a well‑known GNN model applied to a ation of the accuracy and cost of NetXplain with respect chemistry problem to quantify the impact of the differ‑ to the state of the art. (...) Likewise, the network‑ ity method, and Section 8 concludes the paper. ing community has made a irst attempt to apply a simi‑ lar solution to several network optimization use cases 2. (...) Then, once every node has received ation results reveal the feasibility to train NetXplain over the messages from its immediate neighbors, these mes‑ a small dataset produced by costly explainability solutions sages are combined with an aggregation function (·) pro‑ (e.g., [10, 3]), and be able to apply it over a wide variety ducing a ixed‑size output (e.g., an element‑wise summa‑ of network scenarios.

Score: 766340.33 - https://www.itu.int/en/publica...4/files/basic-html/page74.html

  Page 73 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine lea

However, existing DL‑based solutions are often considered as black boxes with high inner complexity. (...) We show that NetXplain operates more than 3 orders of magnitude faster than state‑of‑the‑art explainability solutions when applied to networks up to 24 nodes, which makes it compatible with real‑time applications; while demonstrating strong capabilities to generalize to network scenarios not seen during training. (...) This limits the viability of these solutions ence [10, 11]). This newly introduced mechanism has to be applied to networks, as these are critical infrastruc‑ proven, to date, to be the only DL technique capable of tures where it is essential to deploy fully reliable solu‑ generalizing with high accuracy to graphs of different tions.

Score: 766340.33 - https://www.itu.int/en/publica...4/files/basic-html/page73.html

  Six steps for adapting your design solutions to the right context - UNHCR Innovation

and while they outline a number of steps of what would apply in a software development context, taken in a more general form they can be applied anywhere. (...) Don’t wed yourself to one solution or one approach but think about the types of solutions that could work. (...) ‘High Level Requirements’ or ‘Coming up with a list of what you need a solution to do’ User stories – while guiding – often don’t bring us closer to potential solutions.

Score: 766191.65 - https://www.unhcr.org/innovati...olutions-to-the-right-context/

  Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solut

Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solutions Using Digital Data | United Nations Development Programme Skip to main content Accelerator Labs What we do Where we are Our Learnings News Global Nav toggle Search What we do Where we are Our Learnings News English Locations English pdf (3.1 MB) Home Accelerator Labs Our publications Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solutions Using Digital Data Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solutions Using Digital Data English pdf (1MB) Download Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solutions Using Digital Data October 4, 2021 The Data Powered Positive Deviance Initiative (DPPD) is a joint alliance initiated by the UNDP Accelerator Labs (AccLab) Network, Pulse Lab Jakarta, the University of Manchester (UoM), and the GIZ Data Lab. (...) This report “Learning from the Edges: Lessons Learned from Applying the Data Powered Positive Deviance Method to Identify Grassroots Solutions Using Digital Data,” presents six learnings on how to use non-traditional data sources to support a Positive Deviance approach to development practice. (...) Read more Publications Applying Learning Questions on Informal Economies to Info...

Score: 764622.66 - https://www.undp.org/accelerat...s-solutions-using-digital-data

  Page 77 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine lea

 Page 77 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks           Basic HTML Version Table of Contents View Full Version Page 77 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks P. 77 ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4 Fig. 5 – High‑level work low of NetXplain. to perform real‑time troubleshooting of GNN‑based solu‑ tions applied to networks but also opens the possibility of combining these solutions with automatic optimization Fig. 6 – Adaptation of the readout function in NetXplain to produce the algorithms (e.g., local search, reinforcement learning) to explainability mask. solve more ef iciently online optimization problems, as discussed later in Section 7. (...) As shown in Fig. 5, much more affordable than applying the iterative opti‑ the proposed GNN‑based solution is trained with an ex‑ mization algorithm over all the samples of . plainability data set generated by an iterative optimiza‑ tion algorithm [3] and, once trained, the resulting model 5.2 Training the explainability GNN can make one‑step explainability predictions for each in‑ put sample of the target GNN. (...) Particularly, tice, when applied to GNN‑based networking solutions, we mostly keep the same architecture of the target GNN.

Score: 762465.23 - https://www.itu.int/en/publica...4/files/basic-html/page77.html