The European Workshop on Urban Climate Indicators, https://easychair.org/cfp/ewuci2021, tackles the design of relevant and computable urban climate indicators to study and adapt to climate change, specifically indicators that can be scaled in space and in time throughout Europe thanks to a better access to and better sharing of data. It is organised with the support of EuroSDR, of the national mapping agencies, statistical institutes and meteorological institutes of France and of Finland (IGN, INSEE, MétéoFrance, Statistics Finland, FMI, NLS), of the finnish environment institute (SYKE) and of the european project ERA4CS URCLIM on urban climate services. Targeted audience is scientists and experts who specify, prototype or produce indicators relevant to urban climate study, scientists and experts who advance the field of information infrastructure to support this application.

The workshop will include paper sessions (see below) and a challenge track (see below for challenges description). In both cases, you are invited to submit a short paper (5-6 pages) describing your contribution on https://easychair.org/conferences/?conf=ewuci2021. All accepted submissions will be archived in an electronic proceedings published by CEUR-WS.org.

Papers track : (deadline February 1st 2021)

Paper contributions are welcome about: specific indicators design to study climate change and adapt to it, more generally applications illustrating the benefits of better exploiting such information, technical challenges to find and combine different data sources, indicate quality and suitability of results and store results in an accessible way, and indicate quality / suitabilityinstitutional and economic prerequisites and barriers regarding GIS information access, sharing, merging, quality management, various facilitation roles that different agencies could play to further access and sharing of such GIS, as well as quality assurance.

Challenges tracks : (deadline March 31st)

Within the general scope of the workshop, three specific challenges have been identified for which we welcome contributions in the challenge track. They are described below. Through these challenges, we hope to encourage either scientists who may be new to climate studies but skilled in data integration and harmonization, or climate scientists who may ignore the availability of data to make a step and engage in fruitful exchanges during the workshop based on concrete proposals.  The challengers may use any data or classification that might prove useful, at the European, national or local level, preferably open data. They will describe the difficulties they will have faced,  whether it be in terms of lack of data, quality of data, metadata, interoperability, scalabilty (comparability in space and in time), licensing and aggregation or disaggregation  methodology. To help them, the chairs draw their attention to the existing datasets or to the existing classifications. If you wish to use a dataset that is not in this list yet, please send the description of this dataset to ewuci2021 at easychair.org so that we can add it to the list and other participants can more easily discover it. If you wish to register to one or more challenges, or if you have any question, please send an email to ewuci2021 at easychair.org so that we can contact you further on.


Challenge 1 : Adding environmental indicators to the European Grid LAEA

Summary : The challenge consists in adding  environmental indicators to the already existing grid and to their socio-economic data. The indicators may be linked to urban climate, pollution, geospatial information, or meteolorogy. The quality and the sensibility of each indicators will be assessed as well.

Context : This challenge is in line with the UN Global Statistical Geospatial Framework (GSGF). In order to foster cross domain analysis, Principle 3 of the GSGF recommends using “common geographies” for the dissemination of information by different national or global bodies. To achieve this goal,  the European Grid (ETRS 89, LAEA) used by Eurostat and by many European countries (France, Finland, …) seems to be a suitable territorial classification. This grid complies, for example, with the Inspire recommendations. Insee already provides data (population, dwelling, incomes) using the 200m version of the grid, while Eurostat aims to release some of the data of the next 2021 census round using the 1km version.

Data of possible relevance for challenge 1 especially : see https://easychair.org/cfp/ewuci2021


Challenge 2 : Urban concepts and definitions for urban climate change studies

Summary : The challenge consists in highlighting various key concepts and practical stakes in the context of research and studies questioning current urban concepts and definitions applicability for urban climate change studies.

Context : Common terms allow us to define common concepts. Cross-domain topics are dependent on well-defined and described data. Standardized concepts are one of the key elements fostering cooperation, joint development and allowing data to be obtained from various sources and to be utilised by information users and analysts in various domains. Are the current definitions of urban areas, mainly urban centres and urban delineation recalled below, also applicable for urban climate change studies? What restrictions on use, advantages or deficiencies have been identified? Are there inconsistencies in the definitions? How are they aligned with other definitions used in the urban climate change domain or how can they be used in combination with other definitions? Are the corresponding geographical delineations of alternative definitions available?

As a reminder, the definition of urban clusters and urban centres has been developed by EU (Eurostat, DG REGIO and JRC in cooperation with the national statistical institutes). The unified definitions across Europe, and the delineation of urban clusters and centres made accordingly, allow to examine urban areas in a consistent manner. Both concepts are part of the “degree of urbanisation” framework of concepts, that has been recommended by the UN Statistical Commission in March 2020 for international statistical comparisons and has received support from ILO, FAO, OECD UN-Habitat and the World Bank. Urban centres are defined as groups of contiguous raster cells of 1 sqkm size, having a population density of at least 1500 inhabitants/km² and a total population of  at least 50000 inhabitants. These groups act as a raster-based representation of cities. Smaller urban areas are called “urban clusters” are defined as groups of contiguous raster cells of 1 sqkm size, having a population density of at least 300 inhabitants/sqkm and a total population of at least 5000. These groups represent towns and suburbs. The definition of urban centres and urban clusters underpins the urban/rural typology of NUTS3 regions and the degree of urbanisation classification of local administrative (LAU) units. With respect to delineations, the Urban Clusters and Urban Centres datasets contains urban clusters and centres, based on local population data of 2011. The data are derived from the population grid 2011 produced by the GEOSTAT project (Eurostat), combined with data on the share of land area by grid cell (JRC).

Classifications and data of possible relevance to challenge 2 especially : https://easychair.org/cfp/ewuci2021


Challenge 3 : Urban adaptation indicators

Summary : The challenge can be addressed in several ways, as indicated by the following questions:

– provide theoretical and methodological underpinning, as well as an outline of an urban adaptation indicator set which has the features outlined below (see context)

– present alternative combinations of data sources to produce selected indicators and succinctly describe strengths and weaknesses (e.g. resolution – uncertainty trade-offs; adaptability; portability (applicability in many places); ….)

– propose a method to adapt LCZ classifications or parameter values as means to represent adaptation interventions in the urban environment (e.g. raising vegetation factors without reducing building density)

Context : The resilience of urban areas with respect to climate change depends on the local climate conditions and the natural environment, on the degree of exposure steered by human activity, land use and urban morphology, and on the variations in vulnerability across space and social strata. Urban adaptation indicators somehow have to represent these conditions and the associated risk levels. Furthermore, for the purpose of giving guidance in decision making and policy monitoring, urban adaptation indicators should be able to show development of the urban climate resilience over time, and, ideally, enable options to disclose the components of change for selected indicators. Last but not least indicators should be relatively easy to use, interpret, and update for practitioners, whereas the total number of indicators must remain manageable, and the indicator set should be applicable across a range of different cities (even though occasionally some indicators may be only relevant for subsets of cities). Obviously, the indicators should allow for spatial representation as well. Although achieving resilient cities is in the scope of the UN 17 Sustainable Development Goals (see Goals 11 and 13), related indicators are designed for national levels and are not enough to meet the above objectives.

These at least mildly conflicting demands make it very challenging to develop a comprehensive set of urban adaptation indicators. It is probably wise to regard such an indicator system not as a once completed system, but rather as evolving. Due to new experiences, policy changes, and technical development, new indicators may be added, while other indicators may be merged, redefined, or abolished. Cities and urban regions are not equally equipped when starting to develop and use such indicator sets. Even though the practical applicability of the indicators has been emphasized above, insufficient data availability at early stages should not lead to neglect of certain adaptation risk domains. Under such circumstances the design and stagewise development of the indicator set should closely coordinated with the improvement of the necessary data sets.

Classifications and data of possible relevance to challenge 3 especially : https://easychair.org/cfp/ewuci2021

We are looking for students who are interested in Mobile development, especially Android!

Diploma required: Bac + 5 in a quantitative field (applied mathematics, statistics, computing…)
Internship starting date: Flexible
Duration : 2 – 6 month
Salary policy: the internship is paid according to the legal wage rates (approx. 560€/month)

About the Institute of Complex Systems (ISC-PIF)

Created in 2005, ISC-PIF is a CNRS service and research unit dedicated to the inter-institutional and inter-disciplinary development of research on complex systems. At once a research laboratory, project incubator, shared resource centre, conference centre and academic co-working space, this scientific hub provides researchers with a dynamic research environment and innovative tools based on big data and high-performance computing.

Address :
Institut des Systèmes Complexes de Paris IdF,  113 rue Nationale 75013 Paris

About the internship

Description :

We are looking for students interested in a  2-6 months internship to help us create the equivalent of our existing iOS apps for Android. You are free to use either React Native or Android (Java/Kotlin) or a combination of both.

Some of the existing iOS apps:

These iOS apps have essentially the same structure and features which makes it easy to reuse across the 3 Android apps.

Requirements : 

  • Proficient in Android (Java, Kotlin) or strong knowledge of React.js
  • Experience with third-party libraries and APIs
  • Very comfortable with NoSQL Databases like MongoDB and Elasticsearch
  • Solid understanding and experience with JavaScript, HTML5, CSS3
  • Solid understanding of the full mobile development life cycle
  • (Bonus) Published an app to the Google Play Store
  • (Bonus) Familiarity with REST and Websockets on mobile
  • (Bonus) Experience with the MVVM and/or MVP design patterns

Responsibilities (two or more) :

  • Converting Politoscope iOS app to Android
  • Converting SciCope iOS app to Android
  • Converting 24 News iOS app to Android

How to Apply :

Please email your job application (reference in the subject line: Multivac Intern) including a cover letter, a resume, and an indication of availability date to maziyar dot panahi at iscpif dot fr. 

Le Lip6 Recherche activement un(e) étudiant(e) (voire deux) ayant un intérêt pour l’Analyse Topologique de Données pour un stage de 6 mois niveau master 2 ou fin d’école d’ingénieurs, dans l’optique d’une continuation en thèse.

Institutions

Sorbonne Université / CNRS
Laboratoire d’informatique de Paris 6 (UMR 7606)
Équipe Complex Networks

Supervision:

Robin Lamarche-Perrin
Robin.Lamarche-Perrin_at_lip6.fr

Matthieu Latapy
Matthieu.Latapy_at_lip6.fr

Contract:

One-year CDD (January 2020 – December 2020)
Salary : From 2443e to 3019e gross per month (based on experience)
Adress : LIP6, 4 place Jussieu, 75005 Paris

Research Context: The ODYCCEUS Project

Social media and the digitalisation of news are having far-reaching effects on the way individuals and communities communicate, organise, and express themselves. Can the information circulating on these platforms be tapped to better understand and analyse the enormous problems facing our contemporary society? Could this help us to better monitor the grow- ing number of social crises due to cultural differences and diverging world-views? Studying the structure of debates in the public sphere requires sophisticated methods for the analysis of information flows between individuals. How information is shaped and broadcasted by mass media? How to describe the way opinions are discussed in social media? Debates are often represented as complex entanglements of such social interactions, embedded in space and time, and displaying a multilevel structure: From individual to institutional discourses; From the fast dynamics of “buzzes” to the slower dynamics of social controversies.

To address these challenging issues, the H2020 ODYCCEUS project (www.odycceus.eu) gathers researchers in computer science, applied mathematics, and social sciences (communication and political sciences, geography, economy) from six different European countries. One of the main objective of this international and interdisciplinary consortium is to conceive and develop new computational tools (scripts, software libraries, Web interfaces) for the analysis of social conflicts and opinion dynamics. These tools will be integrated to the PENELOPE platform (https://penelope.vub.be/), an open and distributed collection of compliant Web services for quantitative researchers, data journalists, and world citizens.

The Team: Observing and Analysing Complex Networks

Within this research context, the “Complex Networks” team (www.complexnetworks.fr) at LIP6 is responsible for the development of tools relating to network analysis. For that purpose, it developed during the last years numerous formalisms, algorithms and measures. Today, we aim at unifying and integrating this theoretical work within consistent pieces of software to make it accessible to researchers in social sciences.

In particular, the stream graph library – developed by Yiannis Siglidis – offers data structures and computational methods for the analysis of dynamical networks by focusing on the spatio-temporal description of social interactions: Who interacts with whom, and when?

Sources: https://github.com/ysig/stream_graph Documentation: https://ysig.github.io/stream_graph/doc/

The data.cube library is another example of such software objective, dedicated to the exploration of statistical outliers in multidimensional data.

Sources: https://github.com/Lamarche-Perrin/data.cube
Tutorial: https://lamarche-perrin.github.io/data.cube/tut

Current Position: Developing Software and Web Services for Social Scientists

This research engineer position aims at pursuing the team effort by enhancing previously developed software and developing Web services on top of it in order to make them available to a broader audience. In particular, the ODYCCEUS project aims at conceiving “observatories” for social scientists and data journalists, that is interactive online services for the visualisation, exploration and analysis of social networks.

Depending on the personal interest of interviewed candidates, the position could hence focus on one (or several) of the following levels of development:

  • Improvement of back-end software to support large-scale network analysis, in particular by continuing the development of the stream graph or the data.cube libraries;
  • Conception of Web services based on this existing libraries to make them accessible to social scientists and to integrated them to the PENELOPE platform;
  • Conception of “network observatories” by integrating such services into interactive Web pages to help data journalists and citizen to better grasp opinion dynamics;
  • Exploitation of these developed tools for empirical research in collaboration with social scientists of the project by focusing on particular research questions in sociology.

Diplomas and Skills

This position does not require any preliminary knowledge of the tools and theoretical frameworks that have been developed by the “Complex Networks” team. It however requires a strong interest in the development of end-user tools (in Python or in R) for researchers in social sciences. In addition, the candidate should have:
• A PhD doctorate in computer science or an engineering degree;
• An excellent knowledge of Python or R for software development;
• Good writing skills in English for documentation and tutorials;
• Some knowledge of Git for project management.

Contexte et problématique du projet

Ce stage se déroule dans le cadre du projet de recherche «SUPERBEELIVE » (Etude multi-dimensionnelle des relations abeille-environnement) retenu dans le cadre de l’Appel à Projet MUSE 2018 (https://www.superbeelive.net/). Ce projet intègre une diversité de partenaires et de disciplines. Il est coordonné par Matthieu Rousset (matthieu.rousset@crbm.cnrs.fr).

Le projet examine et analyse les comportements des abeilles mais aussi ceux des humains (apiculteurs, fabricants de ruches, vendeurs de ruches, ..) comme ceux des matériaux, pour une approche globale et transdisciplinaire des vecteurs de santé et de bien-être des abeilles, avec l’hypothèse que la ruche (faite de différents matériaux) est un espace de concentration de ces vecteurs. C’est pourquoi la connaissance des effets du matériau sur la santé des abeilles constitue l’un des axes de réflexion de ce projet. Mais dans la mesure où il est impossible d’analyser tous les effets de tous les types de matériaux, le choix est fait dans ce projet de se concentrer sur les connaissances que l’on a des ruches en bois.

L’étude des représentations et des connaissances spécifiques de certains apiculteurs et fabricants de ruches est essentielle ici pour pouvoir hiérarchiser les différents bois et leurs impacts sur la qualité de vie des abeilles du point de vue d’acteurs professionnels mais non académiques. Cette étude contribuera aussi à valoriser d’une part l’artisanat de fabrication de ruches en bois qui fait face à la pression du marché des ruches en polystyrène et des ruches en bois à très bas coût car produites de façon industrielle, d’autre part elle contribuera à mieux valoriser, faire connaître, défendre la protection et les particularités de plusieurs essences de nos forêts européennes. Enfin, la compréhension des facteurs liés au matériau des ruches qui agissent sur les comportements productifs et sociaux des abeilles, s’inscrit dans les activités du groupe de travail lié au projet de GDR «Abeilles et sociétés » dans lequel notre équipe sera engagée.

Le stage s’intègre dans ce projet en appui à un travail de recherche menée par deux chercheuses qu’il viendra donc compléter de données supplémentaires. La réalisation de ce stage se fera donc dans une interaction étroite avec Anna Dupleix et Pascale Moity-Maizi. Le projet est rentré dans sa phase opérationnelle en octobre 2018.

Objectifs du stage

Il s’agit de réaliser une étude globale et systématique des discours mais aussi des stratégies et positions de différents acteurs qui ont pour activité centrale ou secondaire la fabrication et/ou vente de ruches, à l’échelle locale et/ou nationale. Deux grandes sources de discours seront privilégiées : les sites web et les données d’enquêtes effectuées auprès de vendeurs et de fabricants en Occitanie. Une analyse systématique du contenu de ces sites web est attendue 1) pour identifier les conceptions centrales de la ruche et celles des interactions abeille/environnement qui y sont évoquées ou expliquées ; 2) pour hiérarchiser différentes conceptions (connaissances, perceptions, formes de jugements, qualifications) des matériaux et en particulier des bois ; et 3) pour confronter dans la mesure du possible en face à face des registres de justification oraux aux arguments développés sur certains sites web.

Il s’agira concrètement de produire une analyse des discours des fabricants ou revendeurs de ruches, pour :

  • identifier leurs connaissances des matériaux utilisés pour fabriquer / vendre des ruches,
  • identifier leurs stratégies pour répondre à des demandes diversifiées de ruches (dans la diversité des formes d’apiculture) ou pour répondre à une évolution des demandes,
  • comprendre comment ils construisent leur argumentaire pour vendre des ruches (quels registres de justification ils mobilisent, les métaphores qu’ils utilisent, les valeurs et qualités qu’ils affectent aux matériaux, aux abeilles, à d’autres entités matérielles intervenant dans la santé des abeilles),
  • analyser leurs représentations (conceptions) des liens entre abeilles, humains et matériaux des ruches, leurs représentations de la santé des abeilles en lien avec le type d’habitat (les indicateurs et facteurs qu’ils mettent en avant dans ces représentations),
  • analyser les conceptions qu’ils ont de leur propre rôle dans l’évolution des pratiques apicoles face aux crises qui touchent aujourd’hui le secteur apicole et dans leurs relations avec les apiculteurs.

Le parti-pris méthodologique consistera à privilégier une analyse de discours, dans une perspective avant tout comparative, relativement exhaustive (différentes échelles territoriales et différents types d’acteurs) en considérant les sites web comme des formes d’expressions de points de vue et positions (économiques, éthiques notamment) plus construites et choisies que lors d’une interview. Quelques enquêtes en Occitanie viendront compléter cette étude systématique des sites web. Mais elles ne seront pas centrales dans la démarche du stage.

Profils recherchés

  • Formation Bac +5 en sciences du langage et en sciences sociales (ethnologie, sociologie, ou ethno-écologie) avec des compétences essentielles en informatique (tableurs, graphes de réseaux, statistiques, webométrie, logiciels d’analyse qualitative de discours en SHS (exemple : NVivo -).
  • Intérêt pour la recherche
  • Intérêt pour l’apiculture, les liens nature/société, l’approche anthropologique
  • Curiosité, adaptation et rigueur pour recueillir et exploiter des données
  • Autonomie, initiatives et capacité de travail en équipe
  • Capacités relationnelles et rédactionnelles (en prévision de la rédaction d’un article scientifique)
  • Maîtrise des techniques d’entretien

Conditions

  • Lieu : stage basé à Montpellier
  • Encadrement : LMGC (Anna DUPLEIX), SUPAGRO/IRD (Pascale MOITY-MAIZI)
  • Durée : 6 mois à partir de Février 2019
  • Indemnité de frais de stage selon règlementation (554 €/mois)
  • Déplacements : voiture personnelle (remboursement des frais) pour les enquêtes en Occitanie.
  • Permis voiture indispensable, véhicule personnel recommandé.

Envoyer votre candidature (lettre de motivation + CV) à :

anna.dupleix@umontpellier.fr

pascale.maizi@supagro.fr

(intitulé du mail : « candidature stage MUSE Superbee Live2019 »

Localisation du poste : Centre d’analyse et de mathématique sociales (CAMS, UMR CNRS-EHESS 8557) Ecole des hautes études en sciences sociales (EHESS), 54 boulevard Raspail, 75006 Paris.

Durée du contrat : 12 mois

Date prévisible d’embauche : octobre 2019

Type de contrat : CDD (contrat de droit public CNRS selon diplôme)

Salaire proposé : Ingénieur d’étude CNRS (2076,88 brut mensuel) ou ingénieur de recherche CNRS (2399,48 brut mensuel), avec moins de 3 ans d’expérience

Projet EQUINOMATHS, financé par l’Agence pour les Mathématiques en Interaction avec les Entreprises et la Société (AMIES).

MISSIONS

Développer un logiciel d’aide à l’entraînement et la performance pour les chevaux de course au galop en partenariat avec la startup Arioneo (qui produit un capteur pour les chevaux de course).

Le logiciel s’appuiera sur un modèle mathématique de contrôle optimal développé pour la course chez l’humain. Une identification des paramètres à partir des données fournies par la startup sera nécessaire en premier lieu.

Ce travail est susceptible de donner lieu à une publication conjointe avec la startup.

COMPÉTENCES

  • Formation en informatique et connaissances du développement logiciel et des outils associés (compilation, documentation, tests, débogage, …)
  • Langages de programmation : C, Matlab, Python
  • Calcul scientifique (ex: optimisation, équations différentielles, interpolation, estimation de paramètres);
  • Compétences ou aptitudes appréciées : optimisation, commande optimale
  • Intérêt pour l’équitation préférable

PROFIL RECHERCHÉ

Ingénieur d’étude ou ingénieur de recherche

ENVIRONNEMENT ET CONTEXTE DE TRAVAIL

Le CAMS est une unité de recherche mixte CNRS-EHESS résolument pluridisciplinaire : ses chercheurs et enseignants-chercheurs sont issus de champs disciplinaires variés (mathématiques, informatique, physique, économie, anthropologie, géographie…), et ont acquis et développent des compétences aux interfaces. Le CAMS occupe une place originale dans le paysage de la recherche en France, à l’articulation entre sciences sociales d’une part, et mathématiques, informatique, et physique théorique d’autre part. Comme centre de l’EHESS et comme unité mixte du CNRS, le CAMS porte une double ambition : celle de participer à la recherche mathématique internationale au meilleur niveau dans les domaines de compétence où il a acquis une notoriété, et celle de remplir pleinement son rôle d’innovation, de diffusion et de passage à la fois de la mathématique et de l’informatique vers les sciences sociales et, en sens inverse, de problématisation mathématique originale de questions venant des sciences sociales.

Le travail s’effectuera en liaison avec l’équipe de contrôle optimal du laboratoire Jacques-Louis Lions de Sorbonne Université, et avec la startup Arioneo, basée au Tremplin, la plateforme d’innovation pour le sport de Paris.

Publications en lien avec le projet

A.Aftalion, L-H.Despaigne, A.Frentz, P.Gabet, A.Lajouanie, M-A.Lorthiois, L.Roquette, C.Vernet,  How to identify the physiological parameters and run the optimal race. Mathematics in Action, Vol. 7, p.1-10, 2016.

A. Aftalion, P. Martinon, Optimizing running a race on a curved track, preprint 2018, arXiv:1811.12321

Contact : Merci d’envoyer votre CV et lettre de motivation à Amandine Aftalion amandine.aftalion@ehess.fr et Pierre Martinon pierre.martinon@inria.fr

How MULTIVAC Platform scaled from zero to billions of data within 6 months at ISCPIF (CNRS).


This talk contains our use of Elasticsearch, MongoDB, Redis, RabbitMQ and scalable/high available Web services built over Big Data architecture.

This presentation was presented at Université Paris-Sud, LAL, Bâtiment 200 organized by ARGOS. https://indico.mathrice.fr/event/2/overview

ISCPIF: http://iscpif.fr
MULTIVAC Platform: https://multivac.iscpif.fr
Climate at ISCPIF: http://climate.iscpif.fr
Playground for climate: http://climate.iscpif.fr/playground
Tweetoscope: http://tweetoscope.iscpif.fr

 

MULTIVAC Platform at ISCPIF – This list represents what I am thankful to this Thanksgiving

 

  • Elasticsearch You know for search!

This is the heart and the soul of our discovery and curiosity. The first step of every data analytics is finding the right data. Behind every great data discovery there must be a great search engine 🙂 And this is where Elasticsearch comes to the rescue with all its advanced real-time data analytics and powerful full-text search abilities built over Apache Lucene.

MULTIVAC Platform uses Elasticsearch and its built-in distributed and high availability feature with over 900 million documents indexed in order to facilitate data discoveries and explorations for our researchers and scientific partners.

So I am thankful to Elasticsearch for the past 2 years, which made my life much easier and made me a better engineer.
Lire la suite