The document discusses citizen science and its potential synergies with Earth observation (EO) data. It describes OpenStreetMap as an example of citizen science, noting its open data license and global community of contributors. The document advocates cross-fertilization between citizen science and EO to better leverage billions of intelligent sensors. It also discusses recent EO developments like the Digital Earth concept, geospatial web, big data platforms, and the potential of artificial intelligence to harness these new capabilities for studying the Earth.
Future Internet Assembly Athens, presentations on Future Internet Projects Am...Katalin Gallyas
This presentation was given in Athens, on the Future Internet Assembly, 18 March 2014.
it is focuses on the Future Internet related projects and results that Amsterdam has implemented in the period of 2011-2014.
Future Internet Assembly Athens, presentations on Future Internet Projects Am...Katalin Gallyas
This presentation was given in Athens, on the Future Internet Assembly, 18 March 2014.
it is focuses on the Future Internet related projects and results that Amsterdam has implemented in the period of 2011-2014.
OpenStreetMap open data ecosystem between opportunities and legal conundrumsMaurizio Napolitano
the wonderfull opportunities created by OpenStreetMap and the legal aspects around the project with a short focus on Italy.
Presented during
Open Data in Transition: Intellectual Property, Competition Policy, and Regulatory Issues
http://www.unitn.it/economia/evento/32719/open-data-in-transition
Organized by WIPO and UNITN
PS: if you know openstreetmap, you have to start from the slide 23
2019 09 - drr and geographic information - wikimedia italia presentationAle ZenaIT
Recap the trainings and the discussion on OpenStreetMap and Remote Volunteering during the Progetto V-IOLA's final exercitation in Finale Emilia on 2019-09-19. For further information http://violaproject.eu/ https://eacea.ec.europa.eu/sites/eacea-site/files/compendium_euaid_cb_2017.pdf (at page 17)
https://telecombcn-dl.github.io/dlmm-2017-dcu/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.
OpenStreetMap open data ecosystem between opportunities and legal conundrumsMaurizio Napolitano
the wonderfull opportunities created by OpenStreetMap and the legal aspects around the project with a short focus on Italy.
Presented during
Open Data in Transition: Intellectual Property, Competition Policy, and Regulatory Issues
http://www.unitn.it/economia/evento/32719/open-data-in-transition
Organized by WIPO and UNITN
PS: if you know openstreetmap, you have to start from the slide 23
2019 09 - drr and geographic information - wikimedia italia presentationAle ZenaIT
Recap the trainings and the discussion on OpenStreetMap and Remote Volunteering during the Progetto V-IOLA's final exercitation in Finale Emilia on 2019-09-19. For further information http://violaproject.eu/ https://eacea.ec.europa.eu/sites/eacea-site/files/compendium_euaid_cb_2017.pdf (at page 17)
https://telecombcn-dl.github.io/dlmm-2017-dcu/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or image captioning.
how openstreetmap is a wonderfull place for the citizen science where learn, improve ad reproduce
presentation made for a workshop organized by the Cost Action CA15212
https://www.cs-eu.net/
Data Science: History repeated? – The heritage of the Free and Open Source GI...Peter Löwe
Data Science is described as the process of knowledge extraction from large data sets by means of scientific
methods. The discipline draws heavily from techniques and theories from many fields, which are jointly used to
furthermore develop information retrieval on structured or unstructured very large datasets. While the term Data
Science was already coined in 1960, the current perception of this field places is still in the first section of the hype cycle according to Gartner, being well en route from the technology trigger stage to the peak of inflated
expectations.
In our view the future development of Data Science could benefit from the analysis of experiences from
related evolutionary processes. One predecessor is the area of Geographic Information Systems (GIS). The
intrinsic scope of GIS is the integration and storage of spatial information from often heterogeneous sources, data
analysis, sharing of reconstructed or aggregated results in visual form or via data transfer. GIS is successfully
applied to process and analyse spatially referenced content in a wide and still expanding range of science
areas, spanning from human and social sciences like archeology, politics and architecture to environmental and
geoscientific applications, even including planetology.
This paper presents proven patterns for innovation and organisation derived from the evolution of GIS,
which can be ported to Data Science. Within the GIS landscape, three strategic interacting tiers can be denoted: i) Standardisation, ii) applications based on closed-source software, without the option of access to and analysis of the implemented algorithms, and iii) Free and Open Source Software (FOSS) based on freely accessible program code enabling analysis, education and ,improvement by everyone. This paper focuses on patterns gained from the synthesis of three decades of FOSS development. We identified best-practices which evolved from long term FOSS projects, describe the role of community-driven global umbrella organisations such as OSGeo, as well as the standardization of innovative services. The main driver is the acknowledgement of a meritocratic attitude.
These patterns follow evolutionary processes of establishing and maintaining a web-based democratic culture
spawning new kinds of communication and projects. This culture transcends the established compartmentation and
stratification of science by creating mutual benefits for the participants, irrespective of their respective research
interest and standing. Adopting these best practices will enable
OpenTransportNet: Stimulating Innovation with Open Geographic Information21cConsultancy_2012
The increasing availability of open Geographic Information (GI) presents a new opportunity for European Private and Public stakeholders, especially SMEs, to extract extra value from Open Data due to the fact that a vast amount of information has direct or indirect spatial references that open up new ways of interpreting it.
"'Tis true. There's magic in the Web: The Short and the Long of Co-Creation, Web Science, and Data Driven Innovation". Keynote for the DATA-DRIVEN INNOVATION WORKSHOP 2016 collocated with ACM Web Science 2016, Hannover, Germany, Sunday 22 May 2016
Extreme Citizen Science: Current Development Muki Haklay
Slides from a talk to UCL Institute of Global Prosperity soundbites event - 5th November 2015.
With a growing emphasis on civil society-led change in diverse disciplines, from International Development to Town Planning, there is an increasing demand to understand how institutions might work with the public effectively and fairly.
Extreme Citizen Science is a situated, bottom-up practice that takes into account local needs, practices and culture and works with broad networks of people to design and build new devices and knowledge creation processes that can transform the world.
In this talk, Muki will discuss the work of UCL Extreme Citizen Science group within the wider context of the developments in the field of citizen science.He will cover the work that ExCiteS has already done, currently developing and plans for the future.
https://www.igp.ucl.ac.uk/igp-events-pub/muki-haklay-extreme-citizen-science
Looking at the past of infrastructure development for research data in the context of infrastructure development patterns and experiences from the evolution of the IEDA data facility to inform future pathways and developments. A major focus of the lecture is on the FAIR principles and the issues surrounding reusability of data.
This presentation has highlighted the strategic directions and contributions by the UN GGIM Academic Network of global geospatial Information Management, at the side event of the 13th UN-GGIM event in New York.
Introduction to the side event organized by the UN GGIM Academic Network and Private Sector at the Thirteenth Session of the United Nations Committee of Experts on Global Geospatial Information Management. The outcome of two surveys (to Universities and to Member States) are presented.
ANALYSIS OF THE REMOTELY SENSED WATER QUALITY PARAMETERS OF THE INSUBRIC LAKE...Maria Antonia Brovelli
Lakes are a fundamental component of the environment and the territory and represent a precious source of fresh water for various
uses. The area of the Prealps north of the Po valley in Italy is characterized by the presence of lakes which represent almost 80%
of the total volume of fresh water in Italy (Rogora et al., 2018). The Insubric lakes (Lugano, Maggiore and Como) have their
shared basins between Italy and Switzerland, and they are the objective of the SIMILE project, a cross-border Italian-Swiss Interreg project
that aims to improve their coordinated management and strengthen stakeholder participation in the processes of knowledge and
monitoring of water resources by analyzing data acquired from in-situ to satellite sensors. The present work
refers to data collected by remote sensing methods which offer the possibility to obtain synoptic views of water bodies to monitor
water quality parameters (WQPs) such as the chlorophyll-a (Chl-a), the total suspended matter (TSM) and the lake surface water
temperature (LSWT). This work presents an extensive evaluation of the space-time trends of the parameters
based on the SIMILE remote sensing database.
Authors: Alessandro Austoni, Juan Francisco Amieva, Mariano Bresciani and Maria Antonia Brovelli
SIMILE (Informative System for the Integrated Monitoring of Insubric Lakes and their Ecosystems) is a project financed by the Interreg Italy-Switzerland 2014-2021 program. It involves partners from the scientific and technical sector (Politecnico di Milano – Lecco Campus; Fondazione Politecnico; Water Research Institute - National Research Council; SUPSI - University of Applied Sciences and Arts of; Southern Switzerland) and from the institutional sector (Lombardy Region; Ticino Canton) working in synergy. The main project goal is the protection of water quality for Lugano, Maggiore and Como lakes through a geoinformatic coordination of existing monitoring systems with new data collection methods. Images from European Space Agency (ESA) Sentinels will be integrated with high frequency sensors, placed on buoys and floating platforms, and Volunteered Geographic Information (VGI) produced with a Citizen Science approach. This virtual cycle is described in the presentation.
Presentation of the Politecnico di Milano activities in the new Erasmus project GIS4Schools. The project aims at bringing GIS at secondary schools teaching pupils with a learning-by-doing approach. Leader of the project is Euronike (https://euronike.it/)
Global Land Cover and Intelligent Analysis of Remote Sensed ImagesMaria Antonia Brovelli
ISPRS Session at the United Nations World Geospatial Information Congress.
Maria Antonia BROVELLI 1, Wen-zhong John SHI 2 , Peng SHU 3, Qingquan LI 4, Serena COETZEE 5
1 Politecnico di Milano – Italy; 2 The Hong Kong Polytechnic University – Hong Kong; 3 National Geomatics Center China; 4 Shenzhen University – China; 5 University of Pretoria – South Africa
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
1. EO in Society: Open Science
and Innovation
Maria Antonia Brovelli
Politecnico di Milano – Milano - Italy
Advisory Committee for
Earth Observation (ACEO)
Frascati (Italy) 30-31 Ottobre 2018
Frascati, 13-16 November 2018
2. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
• The appearance of “new” human actors
– Citizen science: set of practices in which citizens participate in
data collection, analysis and dissemination of a scientific
project (Cohn 2008)
– citizen cyberscience: use of computers, GNSS receivers and
mobile phones
– Enabling factors:
• Geolocation sensors and handheld sensors. Space products and
services (success of GNSS)
• Web2.0 technologies
• Collective Intelligence
3. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
OpenStreetMap (OSM)
The OSM project was
born in 2004 to
encourage the
creation of geo data
that is free to use and
shareable with anyone
(licensed under the
Open Data Commons
Open Database License
(ODbL)) by the OSM
Foundation (OSMF).
4. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
OSM Ecosystem
Citizen Science
5. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
6. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
OSM Ecosystem
Commercial OSM Software
and Services
7. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
Quality (examples)
• OSM Building footprints Lombardy (Italy): the spatial accuracy is
comparable to the authoritative dataset at scale 1:5000
• Streets in Kenya, Tanzania, Uganda: comparison OSM and UNECA (United
Nations Economic Commission for Africa); the latter dataset is based on the
Digital Chart of the World
Country OSM [m] UNECA [m] OSM/UNECA
Kenya 165842875 37107320 4,5
Tanzania 426683257 55336417 7,7
Uganda 148997450 18545031 8,0
8. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Citizen Science
A GROWING GLOBAL COMMUNITY
"No PhDs needed: how citizen science is
transforming research” Nature 23 October 2018
9. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
EO and Citizen Science
• What is missing? How to elicit the exploitation of EO
products different from simple optical HR imagery?
• There are potentially billions of intelligent sensors!!
• There is a need of cross-fertilization for synergizing
the two worlds (EO4CS).
10. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
• The Digital Earth
“a multi-resolution, three-dimensional representation of the
planet that would make it possible to find, visualise and make
sense of vast amounts of georeferenced information on the
physical and social environment.
Such a system would allow users to navigate through space
and time, access to historical data as well as future predictions
based for example on environmental models, and support
access and use by scientists, policy-makers and children
alike”
Gore, A., 1998. The Digital Earth: Understanding our planet in the 21st Century.
11. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
• The Geospatial Web
12. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
The Geospatial Web
• Geo Web Services
(Catalogues, Data, Processing)
• Clients
(Web Mapping, Mash-up, Web2.0)
• Interoperability
13. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Dealing with Big Data
• Over 10 Petabyte/year of new data with just Sentinels-1,-2
and -3 fully operational
• immediately consumable for users (even if Big Data)
– WCS: Web Coverage Service
• Cloud Processing
representations of space/time varying phenomena:
regular and irregular grids, point clouds and general meshes
Datacubes: multidimensional arrays is a subset of coverages
that focuses on regular and irregular spatio-temporal grid
14. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Dealing with Geo IoT
→ Sensors
everywhere
→ Internet of
Things
(connected
devices)
15. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
ESA Thematic Open Exploitation Platform
DP – Data Provider:
user providing data
PI - Expert user:
software
development and
integration
16. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
ESA Thematic Open Exploitation Platform
17. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Data and Information Access Service (DIAS)
18. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
• From the web of people to the web of data/information:
intelligence by connecting data and information (Web3.0)
• A great and praiseworthy effort has been made for giving
birth to such infrastructures.
• From the industrial point of view (in Europe, fragmented and
mainly micro-small sized companies): “around 10 % of the
overall sector revenues are driven by free data” and there is
optimism with respect to a future grow, in the new era of
platforms (EARSC)
• Openness has been a winning choice.
Data and Information Access Service (DIAS)
19. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
• How to make these platforms pervasive (at least) in the education
and research domain and make them competitive with respect to
other solutions?
– Researchers need to be aware and understand the added value
of these solutions. But these solutions need to be sustainable
for researchers
– Educators have to be “educated” in order to introduce these
topics in their courses (secondary and higher education)
– Cross-fertilisation between GEO (Geospatial science and Earth
Observation) and Informatics → GEO Informatics no more seen
as a niche subject
Data and Information Access Service (DIAS)
20. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Artificial Intelligence
• Going to machines …
AI has reached a historical moment
• Big Data
• Processing Power
• Collective Intelligence
• Open Software and Open Data
• Improved Algorithms
• Accelerating Returns
→ AI4EO (AI4GEO)
Harnessing AI for the Earth, PwC, World Economic Forum WEF, 2018
21. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
Artificial Intelligence
What do we need?
• DATA (good quality data)
• TOOLS AND INFRASTRUCTURES
• AI4GEO ECOSYSTEM:
– Researchers
– Citizen Scientists
– Private Sector
– Investors
– Potential Users
22. EO in Society: Open Science and Innovation. M. A. Brovelli, The ESA Earth Observation Φ Week – 13 Nov 2018
CONCLUSIONS
• Citizen Science is a pivotal element in sensing and monitoring the Earth.
How to elicit more participation? (EO4CS)
• We have been experiencing many advancements in a short time: OSM
(2004), Sentinels (2014), DIAS (2018): free and open data and free and
open source software have proved to be effective for innovation. Let us go
ahead in this direction. Will the new platforms be sustainable (and of
interest) for educators, researchers and in general?
• AI is opening unprecedented ways of studying the World. How to elicit
more research on AI4EO in Europe?
• We have today definitely more possibilities of sensing and monitoring our
planet (and beyond); the step between monitoring and controlling is very
short; the prevention against a society of control is participation and
openness.