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Artificial and Augmented Intelligence for Automated Investigations for Scientific Discovery (AI3SD) Network+ Launch

The official launch of the EPSRC Funded Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery (AI3SD) Network+ www.ai3sd.org will take place on Wednesday 5th December in South West London at the Society of Chemical Industry, situated in the picturesque Belgrave Square just South West of Hyde Park Corner.

Our network aims to bring together dedicated researchers looking to show how cutting edge artificial and augmented intelligence technologies can be used to push the boundaries of scientific discovery. We are looking to involve and collaborate with academics, commercial organizations and government officials. Everyone will be welcome to gain a deeper insight into the grand plans of our network, and to ask questions and engage in debate about the research area the network aims to address, and the future plans of the network.

This launch event will set the scene for the events that our Network will be organizing over the next three years, including networking activities, conferences, workshops, hackathons, funding opportunities for pilot projects and feasibility studies, and incubator secondments.

Keynote Speakers

Our speakers will be giving thought provoking talks on a number of topics that are highly pertinent to the Network, ranging from machine learning and artificial intelligence techniques in science, to the philsophy of science, and the difficulties of procuring data for AI.

For more information, please visit


ELIXIR joined CODATA and RDA to organise an international summer school in research data science

There is a vast array of technologies and techniques that help scientists process and analyse the ever growing volumes of research data. Along with the rapid development of these techniques, there is a growing demand for comprehensive training in Research Data Science, an emerging interdisciplinary field covering data management, large scale analysis, statistics, visualisation, software development and others.

To meet the training needs of life science researchers, ELIXIR teamed up with H3ABioNet and GOBLET and organised an Advanced Bioinformatics Workshop, as an extension of the annual Research Data Science Summer School in Trieste, ltaly, held by Research Data Alliance (RDA) and the Committee on Data of the International Council of Science (CODATA).

The Summer School took place on 6-17 August 2018, ELIXIR Training contributed by providing two instructors from ELIXIR Belgium and ELIXIR Slovenia. The  Bioinformatics Workshop (20-24 August)followed immediately after the Summer school, and was one of the four advanced workshops, that focused on a particular scientific domain. Led by Fotis Psomopoulos (ELIXIR Greece) with Gabriele Schweikert and Amel Ghouila, the workshop programme covered advanced hands-on tutorials on computational methods for genomic and sequencing data, Machine Learning application in bioinformatics, and experimental design.

See the full story on the Elixir News Site: https://www.elixir-europe.org/news/tackling-bioinformatics-skills-gap-worldwide


UCT e-Research Africa 2019 Conference Call for Papers

In a research-intensive environment, data scientists contribute to real-world problems in public health, education, sustainable energy, climate change, economic development, and many more areas of trans- and interdisciplinary research. Working on data mining or machine learning, on big data and data science projects with social impact, there is limited empirical evidence to demonstrate their contribution. New research impact measures are required for the evaluation of data science in support of social challenges that might include strategic value, significant change, empowerment, livelihoods, and sustainability. This conference will explore the practice, principles and opportunities of data science in knowledge production and decision-making for societal benefit.
 
Focus areas for 2019 include: (but are not limited to)
 
  • Kranzberg’s First law: Technology is neither good nor bad; nor is it neutral.
  • Big data, analytics, and technology impact on society.
  • Data science: Bridging the gap between science and decision-making.
  • Case studies from public health, urban development, education, social welfare.
  • Chasing the “R” in FAIR data: The sharing and re-use of data and scientific software as supplementary research outputs.
  • The next generation of data scientists: Education models from universities, summer schools, boot camps, and hands-on training programmes. 
  • The dark side of data: threats to privacy and confidentiality; misinformation; cybersecurity.
  • Data science in academic planning: linking student data to academic outcomes.
  • Crowdsourcing data science for social development.
For more information, please visit http://www.eresearch-africa.uct.ac.za/


Tony Hey: Candidate for the CODATA Executive Committee and CODATA President

My Vision for CODATA

I very much support the three major strategic programs put forward in CODATA’s Strategic Plan 2013 – 2018, namely: 

  • Data Principles and Practice
  • Frontiers of Data Science
  • Capacity Building

However, given the promising developments of the last five years it is now time to develop a third strategic plan covering the next five years of the CODATA organization. Development of this new strategic plan must be a major priority for CODATA and it will be important to reach out to all the relevant national and international stakeholder organizations for their input. However, in addition to CODATA’s traditional stakeholders, I would also like to learn from the experience of other major efforts in this space. For example, from the US, this could include input from the NIH’s National Library of Medicine, the DOE’s OSTI organization and the NSF’s DataONE project. From Europe, there will be much activity in creating an implementation of the European Open Science Cloud (EOSC). I would also look for input from other major data science initiatives in Asia and Australia.

In addition to developing detailed plans and deliverables for the three broad CODATA priority areas for the next five years, I would like to give my support to two other areas. During my career in data-intensive science - in the UK with e-Science and in my work with Microsoft Research in the US – I have worked closely with universities and funding agencies in Europe, North and South America, Asia and Australia. I now think it is important to dedicate more attention to Africa where I think CODATA can play a significant role. I am therefore personally very supportive of the existing CODATA initiative to develop an African Open Science Platform and would look for ways to extend this initiative and increase its impact. One way in which to do this is to harness CODATA’s global reach and influence which can successfully bring together countries at many different levels of economic development. The international SKA project will also generate many interesting computing, data science and networking challenges in Africa.

The second focus I would like to develop is related to my present role as leader of the Scientific Machine Learning research group at RAL. There is now much activity world-wide in the application of the latest advances in AI and Machine Learning technologies to scientific data. This is one of the few areas where the academic research community has large and complex data sets that can compete with the ‘Big Data’ available to industry. Extracting new scientific insights from these datasets will require the use of advanced statistical techniques, including Bayesian methods and ‘deep learning’ technologies. In addition, an extensive education program to train researchers in the application of these data analytic technologies will be necessary and can build upon practical experience in applying such methods to ‘Big Scientific Data.’ In this way CODATA can help train a new generation of data analysts who are not only able to generate new insights from scientific data but also to spur innovation with industry and aid economic development. 

While at Microsoft Research, I was a founding Board member of the RDA organization. As an RDA  Board member, I liaised extensively with both the NSF in the USA, and with the Commission in Europe, and assisted in facilitating the constructive cooperation of RDA with CODATA. I will therefore bring extensive management experience to the leadership of CODATA – from my experience in the university sector as research group leader, department chair and dean of engineering, in UK research funding councils as a program director and chief data scientist, and in industry as manager of a globally distributed outreach team. I am disappointed to see the absence of many European countries from the CODATA membership and, through my experience in European research projects, I would seek to encourage these missing nations to become members of the organization. In addition, in my role at Microsoft Research, I spent considerable time visiting universities and funding agencies in Central and South America, and in Asia. I believe there is considerable potential to interest non-member countries in these regions in the relevance of the data science agenda of CODATA. Finally, although I will certainly bring my vision, enthusiasm and energy to the role of CODATA President, I believe that we must harvest the energy and enthusiasm of the entire CODATA community to take the organization forward to a new level of influence and effectiveness.

Read the full statement here


IASSIST 2019 CALL FOR PROPOSALS

This IASSIST conference is about a lot of “firsts.” This is the first time the IASSIST conference has been hosted in the Southern Hemisphere, and it’s the first to be held in Winter since the very first one in February 1977. Why not share with us your “firsts”? What new and novel projects are you working on? What worked or didn’t work on your first attempt, and what have you learned from that experience?
 
However, there are a lot of ways to explore “data firsts.” As data professionals, we also put data first; however, in today’s climate, where increasing amounts of misinformation are being widely spread via the internet and social media without facts and data to back it up, not everyone shares our values. So how can we educate and advocate to bring “data first” back into the minds of our students, researchers, funders, etc.? How do we share our love of data and its importance as a valuable asset to a library collection or archive?
 
We welcome submissions that share ways in which our IASSIST community is putting “data first” and experiencing “firsts.” Some examples could be your experiences:
 
  • Addressing issues around data policies, privacy, and ethics
  • Advocating the importance of archiving and preserving data in a climate of misinformation
  • Analyzing and visualizing data in new and novel ways to gain original insights into data
  • Data as numbers, pictures, words, and sounds
  • Exploring data across subject areas and geographic regions
  • Partnering with researchers and data producers to enhance sharing, reproducibility and long term access
  • Promoting data as valuable assets to a library or archive collection
  • Strategic collaborations to put data first
  • Teaching data literacy skills, emphasizing the value of a solid foundation, where facts and data support an argument
 
We want to hear about putting “data first” from all perspectives, from theory to application and what tools you used to get there. Suggestions on how attendees can take these ideas back and integrate them into their own practice are encouraged.
 
So please send us your “data firsts”!
Submitting Proposals - DEADLINE: November 1, 2018
We welcome submissions for papers, presentations, panels, posters, and lightning talks.
The Call for Presentations, along with the link to the submission form, is on the conference website:
 
Questions about presentation submissions may be sent to the Program Co-Chairs (Bobray Bordelon, Ashley Jester, and Kelly Schultz) at iassist2019@lists.iassistdata.org.
 
We are also accepting submissions for Pre-conference Workshops. The Call for Workshops, along with the link to the submission form, is at:

Questions about workshop submissions may be sent to the Workshop Coordinators, Eimmy Solis and Stephanie Labou, at workshops@lists.iassistdata.org.

Deadline for ALL submissions: November 1, 2018
Notification of acceptance: Mid-December 2018
 
Support for Attending Conference
 
IASSIST Fellows Program supports data professionals from underrepresented regions and countries with emerging economies. IASSIST Early Professional Fellows Program helps early career data professionals recognizing the value of innovative ideas. Applications can be made at https://goo.gl/forms/yttyvLUetnheZH5Z2 and will close December 23, 2018.
Address questions about the Fellows Programs to Florio Arguillas (foa2@cornell.edu).


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