ADSA 2020 Antonio Camara November 2020 ADSA 2020

ADSA 2020 Antonio Camara November 2020

ADSA 2020 site https: //wordpress. com/page/adsa 2012. wordpress. com/238 ADSA Facebook group https: //www. facebook. com/groups/327448678119355/ Antonio Camara https: //www. linkedin. com/in/antonio-camara/ asc@fct. unl. pt Whatsapp: +351 913509370 Skype id: antonio. camara 77 Join and follow Explora group https: //www. facebook. com/groups/183536175571026/ Send me an email if you want to receive Sunday News https: //myexploralive. files. wordpress. com/2018/09/sunday-news-no-65. pdf

Antonio Camara Professor at FCT-UNL Researcher, CENSE Founder www. ydx. com www. ynvisible. com http: //azorean. eu www. aromni. com https: //theinventors. io

ADSA 2020 November 2 nd- Introduction. Description of problems 6 th- Description of your ADSA 2020 problems (first attempt). Basic principles for technical writing and oral presentations 9 th- Causal diagramming/dynamic modelling 13 th- Gamification of dynamic models: your games 16 th- Neural networks 20 th- Other AI approaches. Bots 23 th- Your AI models 27 th- Network optimization methods

ADSA 2020 November 30 th Introduction to new mobility management systems December 4 th- Your mobility management system 11 th- Interactive visualization 14 th- Augmented and virtual reality 18 th- Group presentations 21 th- Group presentations

Exploração preliminar 1 Artificial Intelligence 2 Driverless vehicles 3 Internet of things 4 Virtual reality 5 CRISPR 6 Space launch vehicles 7 Natural disasters 8 Smart medicine 9 Game engines 10 Sports statistics KOFAC manuals for South Korea secondary school students

ADSA 2020 The goal of this course is to have you learn on how to define and solve environmental problems using contemporary and forward looking approaches

ADSA 2020 Group project Phase 1 (30%) Describe your neighborhood as a background for three environment/urban living problems*: - The development of a strategy simulation game; - The development of a AI model; - The development of a new mobility management system. * See http: //web. mit. edu/urbanupgrading/urbanenvironment/issues/key-UE-issues. html

ADSA 2020 Group project Phase 1 (30%) To define problems you should learn: How to describe key variables and their relationships with words, pictures (static and dynamic) and numbers; That description should be structured to facilitate subsequent representations and solutions. In the limit the descriptions can be the coding of “no code” approaches; Use all available information online; Select one topic per problem. I include two suggestions per topic but I am open to your own ideas Read https: //blog. iqmatrix. com/defining-problem

ADSA 2020 Group project Phase 1 (30%) Topics for problems Problem 1 – Strategy simulation game Increase adoption of local coins/loyalty cards https: //www. dinheirovivo. pt/poupanca/lixo-a-nova-moeda-de-campolide/ https: //www. jf-alcantara. pt/cartao-alcantara/ Plan the transformation of your neighborhood in one of the most fun places in the World https: //www. timeout. com/coolest-neighbourhoods-in-the-world

ADSA 2020 Group project Phase 1 (30%) Topics for problems Problem 2 - AI model Predicting crime https: //onezero. medium. com/police-are-trying-to-predict-the-future-ea 33 b 359 b 6 ef https: //www. researchgate. net/publication/330425196_The_Mapping_and_Spatial_Analysis _of_Crime Environmental health https: //www. mdpi. com/2413 -8851/2/1/21/pdf http: //ec. europa. eu/environment/integration/research/newsalert/pdf/255 na 5_en. pdf

The coming explosion of light electric vehicles 07

ADSA 2020 Group project Phase 1 (30%) Topics for problems Problem 3 - Develop a new mobility management system Take the cars out of the neighborhood https: //www. vox. com/energy-and-environment/2019/4/9/18300797/barcelona-spain-superblocks-urban-plan Self-driving solid waste removal https: //pdxscholar. library. pdx. edu/cgi/viewcontent. cgi? article=1003&context=trec_data

ADSA 2020 Group project Phase 2 (70%) For each problem: - Translate the description into a graph representation: causal diagram for the simulation game; neural network for the AI model; conceptual diagram and/or network for the mobility system; - Present three layers: data layer (the data you will need); logic layer (based on the graph representation); and presentation layer (describe interactive visualization system to be used); - Provide an analytical review of software you may use to develop a prototype of your game, AI model and mobility management system