Muki Haklay

@mhaklay
397 Followers
234 Following
369 Posts
Prof at University College London, London / team leader at the Learning Planet Institute, Paris. Interested in environmental information and publics, citizen science, participatory mapping, and public engagement in science.
Bloghttps://povesham.wordpress.com/
Publications (Google Scholar)https://scholar.google.com/citations?hl=en&user=vcM6_ekAAAAJ&view_op=list_works&sortby=pubdate

๐—” ๐—ฑ๐—ถ๐˜ƒ๐—ฒ ๐—ถ๐—ป๐˜๐—ผ ๐˜๐—ต๐—ฒ ๐—–๐—ถ๐˜๐—ถ๐˜‡๐—ฒ๐—ป ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—–๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ฒ๐—ป๐—ฐ๐˜† ๐—™๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ, ๐—ฎ๐—ป๐—ฑ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐—ฐ๐—ผ๐—ป๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ ๐˜๐—ผ ๐—ถ๐˜

Join a session to know more, to contribute to finalising this first version of a citizen science competency framework.

Four sessions - all the same, pick the one that works for you:
* Wednesday 25th of March from 4:30-5:30 pm (CET)

* Wednesday 1st of April from 12-1 pm (CET)

* Thursday 9th of April from 9-10am (CET)

* Monday 13th of April from 4:30-5:30 pm (CET)

๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—ต๐—ฒ๐—ฟ๐—ฒ:https://docs.google.com/forms/d/e/1FAIpQLSf9v0JygWYNlPRN6q3YrSbuc5h2Wp7v3d0MhKXF9T_BylBhBg/viewform

Hooray! After four years of working on a paper that describes how the @ECSA Characteristics of Citizen Science were created, it is out. Describing the process, explaining the different domains, and explaining the relationships with ECSA 10 principles. There are plenty of useful things there. It is a useful partner to the Counters of Citizen Science paper from 2021 https://open-research-europe.ec.europa.eu/articles/5-128/v2 #CitizenScience #CommunityScience #Science #Research
Doing my bit for Dรฉfi Nature Urbaine Paris 2025 #CityNatureChallenge project. Exploring the area and learning about nature in Paris.
Also opportunity to think about mediocre citizen science - I'm somewhere in top 30, but it feels like I've done very little! #CitizenScience
The collaborative power of AI and citizen science in advancing the Sustainable Development Goals, from @uclgeography.bsky.social
https://www.ucl.ac.uk/geography/news/2025/jan/collaborative-power-ai-and-citizen-science-advancing-sustainable-development-goals #AI #SDG #CitizenScience #Publication Find the paper at https://www.nature.com/articles/s41893-024-01489-2
The collaborative power of AI and citizen science in advancing the Sustainable Development Goals

Professor Muki Haklay joins IIASA researchers in exploring how the fusion of citizen science and artificial intelligence (AI) can drive progress toward achieving the UN Sustainable Development Goals (SDGs).

UCL Department of Geography
And just to show how this is a "scale free" phenomena, here are my observations for @inaturalist.bsky.social in 2024 https://www.inaturalist.org/stats/2024/muki #CityNatureChallenge #CitizenScience
muki's 2024 iNaturalist Year in Review

Muki Haklay's highlights and stats from 2024 on iNaturalist

iNaturalist
Looking at @inaturalist.bsky.social annual statistics I am both delighted and questioning the impact of City Nature Challenge (CNC) on the dataset. I love CNC because it's a distributed, volunteered, unfunded, loosely coordinated, #CollectiveIntelligence example. This makes it similar to Wikipedia and OpenStreetMap. AFAIK these are the only examples for this type of open data dataset. Any others? #CitizenScience #ParticipatoryResearch #Crowdsourcing
The Co-Pro Futures Inquiry will propose measures to address barriers to #participatory and #coproduced research within universities and the higher education sector in the UK .
The Call for Evidence and Ideas is one key way that we want to gather collective intelligence to support the sector-wide deliberation and development of an action plan. We are opening the call for submissions until February 28th 2025. Details below! #CoPro #Codesign #citizenScience #ParticipatorResearch please share!

From the Assoc for the Advancement of #ParticipatorySciences: #Citizenscience and #artificialintelligence (#AI) have emerged as two powerful tools for tackling complex scientific challenges. While citizen science harnesses the collective work of volunteers, deploying AI can complement or augment human efforts.

A new Special Collection in Citizen Science: Theory and Practice explores the dynamic intersection of AI and citizen science, showcasing innovative approaches
https://theoryandpractice.citizenscienceassociation.org/collections/ai-and-citizen-science

The Future of Artificial Intelligence and Citizen Science | Citizen Science: Theory and Practice

Citizen Science: Theory and Practice (CSTP) is an online, open-access, peer-reviewed publication focused on the global field of citizen science and other participatory sciences. It provides a venue to share and advance related theories and practices, and serves those interested in and contributing to citizen science across all disciplines, including scientists, educators, community organizers, evaluators, information technologists, and resource managers. It also partners with organizations supporting citizen science and associated endeavors. The journal is an integral part of the Association for Advancing Participatory Sciences and is published by ]u[ Ubiquity Press. This is made possible by the significant support of many volunteer contributors; this includes its leadership team, editors, reviewers, and advisors. Are you interested in reading CSTP? See our latest articles  in the feed to the right, or explore our extensive library in โ€œArticlesโ€. There is no charge to view our open-access publications, which are supported by author fees. Are you interested in submitting a manuscript? See our โ€œAboutโ€ tab to learn more about what we publish and to download our Author Guidelines for Submission. Please pay special attention to maximum allowed words for each submission type, as submission over that limit will not be considered.

Citizen Science: Theory and Practice
A new paper in #NatureSustainability , led by @dilekfraisl.bsky.social and other colleagues at @iiasa.ac.at, on Leveraging the collaborative power of AI and citizen science for sustainable development https://www.nature.com/articles/s41893-024-01489-2 #AI #ArtificialInteligence #CitizenScience #CommunityScience #SDG #SustainableDevelopmentGoals
Leveraging the collaborative power of AI and citizen science for sustainable development - Nature Sustainability

Integrating citizen science into artificial intelligence (AI) can help address major sustainability issues as well as some of the potential drawbacks associated with a wide use of AI. This Perspective highlights the advantages and challenges of such integration in light of achieving sustainable development.

Nature

Interreg Europe shared the insights and the recording from their webinar on #CitizenScience for #Policy (and especially #RegionalPolicy), including the slides https://lnkd.in/gjvjbnJf

Key insights on Stages of policy involvement, Engaging vulnerable groups, Addressing polarised issues, Effective facilitation, Outreach strategies, and Recognizing citizen contributions.

LinkedIn

This link will take you to a page thatโ€™s not on LinkedIn