אמלק: לתוכנית מגשימים AI, דרושים תלמידי מחקר לבניית מערכי שיעור במדעי הנתונים לתלמידי י”א–י”ב.
מזה עשר שנים פועלת בישראל תוכנית לאומית בשם מגשימים להכשרת תלמידי תיכון בעלי יכולות גבוהות בתחום מדעי המחשב המגיעים מהפריפריה החברתית. תלמידים שעוברים את המיונים, עוברים הכשרה במקביל ללימודי התיכון בתחומי מדעי המחשב, רשתות, סייבר ותכנות. בכיתה י”ב הם מממשים פרוייקט מעשי בהיקף נרחב, שעליו הם מקבלים ציון בגרות. לאחרונה, יחד עם ביקוש עצום מצד תלמידים, מגשימים הרחיבו את נושאי הלימוד ופתחו תוכנית לימודים במדעי הנתונים ובינה מלאכותית מגשימים AI. תוכנית זו סיימה את השנה הראשונה שלה, וממשיכה בשנה הקרובה עם תלמידי כיתות י”א.
ישראל נמצאת היום בתנופה בתחומי הבינה המלאכותית, עם ביקוש עצום למומחיות בתחומי למידת מכונה ומדעי הנתונים ומחסור בידע נגיש. תוכנית לימודים ב- AI היא הזדמנות נדירה שמשיגה מספר מטרות: להנגיש את הידע האקדמי לתלמידים, לפתח אצל סטודנטים חוקרים את היכולת ללמד AI, לקדם פריפריה חברתית בישראל, וליצור ידע בעברית שיהיה נגיש למתחילים בתחומי ה- DS/ML. תוכנית מגשימים כבר הוכיחה שיש להם תהליך מנצח כולל איתור ושימור תלמידי ממגוון רקעים, ואפשר לרתום אותה כדי לקדם AI בישראל, ואת ישראל ב- AI.
אנחנו מחפשים תלמידי מחקר למשרת קיץ של כעשרה שבועות. התפקיד כולל פיתוח חומרי לימוד (מצגות ומחברות ג’ופיטר) המתאימים לתוכנית מגשימים AI. התכנים מיועדים לחניכים מוכשרים בגילאי התיכון שאינם מגיעים עם אוריינות גבוהה בנתונים ובתכנות, וגם למדריכים שהינם תלמידי שנה ב’ למדעי המחשב באוניברסיטאות. נדרשת יכולת חשיבה פדגוגית המתווכת את החומר לאוכלוסיות החניכים והמדריכים. פיתוח התכנים יעשה ביחד עם צוות תוכנית מגשימים AI ובליווי פרופ’ גל צ’צ’יק.
למעוניינים: נא לשלוח קורות חיים לעמוס מרום <AmosMar@cyber.org.il> לשאלות: עמוס מרום, המרכז להדרכת סייבר, 0549222047
We are happy to share that BIU was recently granted 10.1 million NIS from Israel’s The Planning & Budgeting Committee (VATAT) for 4 data science projects in the areas of NLP, Vision, Audio and BioInformatics. The amount awarded was determined based on a competitive evaluation of the submitted proposals, and is above the average granted to other universities, positioning us well in the national DS landscape. Following is the list of accepted projects:
AUDIENCE: Audio-Visual Analysis and Separation Sharon Gannot, Ethan Fetaya, Jacob Goldberger (Engineering)
Learning Dynamic Vision and Language Gal Chechik (Brain), Reut Tsarfaty, Yoav Goldberg (Computer Science)
SeqSpace: Supervised Prediction on Unstructured Data Gur Yaari (Eng), Yoram Louzoun (Math), Omry Koren (Medicine), Sol Efroni (Life), Baruch Barzel (Math)
Language-portable NLP Infrastructure with Hebrew Data Science as a Case Study Reut Tsarfaty, Ido Dagan, Yoav Goldberg (Computer Science)
Congrats to the winning PIs.
DSI Research Grants (TASHPA)
In Tashpa the Data Science Institute circulated a call to its members for data science projects.
The competitive call received submissions by 46 PIs from 21 Departments. 14 projects by 21 PIs were accepted and granted a total of 900,000₪. The full list of accepted grants is available on the DSI website.
Congrats to the winners and we are looking forward to learning about their progress in upcoming DSI dinner events.
VATAT and DSI PhD Scholarships
Congrats to TASHPA PhD scholarship winners:
Avi Caciularu (Computer Science), Idan Achituve (Engineering) and Roni Cohen-Fultheim (Life Sciences) – VATAT Scholarship, out of 10 nationally granted scholarships
Amit Gilboa (Engineering), Omer Goldman (Computer Science) and Arie Cattan (Computer Science) – DSI Scholarships
DSI Call for Research Grants 2022
The DSI Call for Research 2022-2023 is now OPEN for proposals promoting impactful collaborative research in data science.
Submission deadline: June 06, 2022
Detailed information can be found on the DSI website:
DSI Call for Travel Grants 2022
The DSI will provide travel grants on a competitive basis to encourage the active participation of students in major scientific international events. Grants will be provided for presenting a novel scientific paper in major conferences/workshops, primarily in the core DS areas. The funds will be available for travel that will take place until the end of 2022. Eligible BIU students are welcome to apply. For call details see: https://dsi.biu.ac.il/dsi-call-for-travel-2022/
Call for Data Science Events
The DSI has distributed an ongoing call to support data science related events in TASHPAB (academic year of 2022) that are organized by its members. For details see:
The First Israeli Seminar on Data-Science based Internet Research
The DSI and the Israeli Internet Association (ISOC) organized in May 2022 a half-day on-campus seminar dedicated to data science based internet research. Speakers included DSI members: Ofir Stegmann (Law) and Motti Neiger (Communication).
After a year break due to the COVID-19 pandemic, we held this last October our annual DSI dinner event. Over 100 faculty members, research students and others attended the events which included a guest speaker, 3 talks by DSI grantees and a poster session. Video recordings of the talks are available on the event webpage.
June 2, 2022. 12:00-13:00. (R?)evolution Times. Prof. Moshe Tennenholtz (Technion)
Law Data-Science Collaboration Workshop
The Law-Data Science Lab is organizing a workshop to encourage the collaboration between researchers in areas of law and data science. The workshop will include an opening talk by Dr. Oren Glickman, presentations of existing successful collaborations and discussion.
The DSI have recently acquired a new central storage solution to provide 120TB of disk space to the DSI cluster users. It provides an efficient solution for users home directory space, public data sets and temporary working data.
The DSI has also conducted a GPU job scheduling pilot with a solution by an Israeli startup called Run.AI. We are now looking into extending this pilot over all DGX and other GPU servers in the cluster. Using a GPU orchestration solution such as Run.AI’s will allow us to better utilize our hardware and computing resources.
DS Course List
We would like to remind you that the DSI maintains a list of data science courses that are given at BIU, which can be easily explored by different category types. The interactive list is available on the dsi website.
Bioinformatics Final Projects
If you are conducting research in the area of Bioinformatics and would like to offer a project to be conducted as a Bioinformatics B.Sc. 3rd year final project, please see following call:
Digital Governance MOOC
Big data, artificial intelligence, machine learning, autonomous cars, chatbots, just a few terms that have become a part of our professional legal and political vocabulary. Emerging technologies and technological advancement have confronted us in our daily practice and will continue to do so in the future. However, they also have disruptive effects on society and pose legal and political challenges. These challenges are central to this MOOC on digital governance.
Ayelet Sela, Ittai Bar-Siman-Tov and Oren Perez are Instructors in this coursera course which is recognized academically by BIU and open free of charge to all BIU students.
M.A., Ph.D. and Postdoc positions
Prof. Yuval Feldman (Law) is seeking researchers (MA, PHD and Postdocs) with strong quantitative methodological backgrounds coming from disciplines such as statistics, economics, public policy, psychology and political sciences to work in an Advanced ERC funded project. For details see:
Dr. Rose Stamp is seeking a part-time Research Assistant for an exciting project involving the analysis of sign languages through motion capture. See here for details.
Nvidia Deep Learning Institute (DLI) Ambassadors
Nvidia Deep Learning Institute (DLI) is looking for PhD students/academic faculty members who wish to be Ambassadors – certified on Nvidia courses, and who may run Nvidia courses free of charge at the universities (note – these courses are usually paid courses). Courses vary from Fundamentals of DL to areas like NLP, Video Analytics, and more and usually run as 1-day seminars.
For more information on Nvidia DLI and the Ambassador program see these two links below:
Dr. Hanna Keren has joined the Azrieli Faculty of Medicine and in her research she brings novel computation methods to study human psychopathology and mood. Dr. Keren received her phd from the Technion in which she studied dynamics and control of neural network synchrony. After completing her phd, Dr. Keren conducted postdoctoral research at the NIH. Her recent Neuroscience paper was widely mentioned in the media as it was the first to show that early events exert a stronger influence on reported mood compared to recent events using advanced computational modeling. In her BIU lab, https://kerenlab.com/, she plans to study ways to control emotion and behavior via closed-loop adaptive artificial environments and neural and physiological human-machine-interfaces.
Dr. Avi Weinberg
Dr. Avi Weinberg has recently joined the Department of Management after a long industrial career in the fields of Machine Learning, Business Intelligence and Cyber Security. His Areas of interest include Explainable AI, Adversarial Learning and the application of Deep Learning in Cyber Security.
Dr. Ofir Lindenbaum
Dr. Ofir Lindenbaum has recently joined the engineering faculty after a postdoc at Yale University. Ofir is interested in developing machine learning models that will aid in the process of scientific discovery. Anecdote: his first publication was a result of collaboration with an Israeli musician named Kutiman.
Dr. Yaara Erez
Dr. Yaara Erez has recently joined the Engineering faculty from The University of Cambridge. Dr. Erez is a neuroscientist, striving to integrate science and technology in healthcare. Her areas of research range from systems neuroscience to cognition and developing computational tools for brain imaging techniques to assist medical decision making. Click here for a film by the BBC about her work on cognitive mapping during awake brain surgeries for patients with brain tumors. In her multidisciplinary lab, https://erezlab.org, Dr. Erez focuses on neuroimaging of the human brain to identify and understand functional brain networks.
Dr. Amit Somech
Dr. Amit Somech has recently joined the Computer Science Dept. from Tel-Aviv University. Amit’s research goal is to build systems that automate data analysis and science, in order to minimize the time it takes users to gain insights from their datasets. Apart from his academic activities, Amit has a particular passion for cheesecake, and owns a blog dedicated to cheesecake reviews – eatcheesecakes.com.
Dr. Reuth Mirsky
Dr. Reuth Mirsky is a new faculty member in the department of Computer Science and the head of the Goal Optimization using Learning and Decision Making (GOLD) lab. Before joining BIU, Reuth was a postdoc in Peter Stone’s lab at the University of Texas at Austin, where she led research projects in Multi-agent systems, RL, and HRI. Reuth’s long term vision is to construct a robot that can replace a seeing-eye dog, a vision that was conceived after she volunteered as a puppy raiser in the Israeli Association for Seeing-Eye Dogs.
7 DSI members among winners of this year’s Rector’s Prize for Scientific Innovation:
Dr. Amiyaal Ilany (Life Sciences)
Dr. Ittai Bar-Siman-Tov (Law)
Dr. Amir Bashan (Physics)
Prof. Ilanit Gordon (Psychology)
Dr. Adam Zaidel (Brain)
Prof. Omry Koren (Medicine)
Dr. Alon Raviv (Business Administration)
Prof. Sharon Gannot for winning the EURASIP Group Technical Achievement Award 2022 for contributions to theory and practice of microphone array signal processing and statistical learning in speech enhancement through extensive activities of his research group
Prof. Amir Leshem Elevated to IEEE Fellow for contributions to multi-channel and multi-agent signal processing.
Prof. Ido Dagan for giving a keynote talk at EMNLP 2021, a top-tier conference in Natural Language Processing.
Prof. Maayan Zhitomirsky-Geffet (Information Science) for receiving a research grant in the field of Digital Humanities from the Ministry of Science, together with Dr. Jonathan Schler and Dr. Binyamin Katzoff (Talmud). Title: Global and local citation networks as a new paradigm for multiple viewpoint investigation in historical literature: a case study of the Rabbinical literature corpus
Prof. Yuval Feldman for receiving an Advanced ERC grant.
On 13-14 of June, 50 faculty members from across BIU will gather in the Jerusalem hills Yearim Hotel to meet and discuss data-science. The DSI-member retreat will be an opportunity after the long COVID-19 break to get together and meet other possibly relevant researchers and get a glimpse of the overall picture of the data-science scene at BIU. We’ll also have discussions on the nature of the DSI in the coming years. We are all looking forward to the event and to the collaborations and other outcomes that will result from it.
BIU DSI would like to enhance the visibility of data science research at BIU and to promote the education and career of young students. Therefore, we are opening this call to provide travel grants to encourage the active participation of students in top-tier scientific international events. Grants will be provided for authors of a novel scientific paper in major conferences primarily in the core DS areas.
Funding scope and duration
In this call the DSI has allocated a total budget of up to 100K ILS for this purpose, within the following limitations:
Up to 7K for a trip to the Americas/Far East/Australia
Up to 4K for EMEA
The funds will be available for travel that will take place until the end of 2022.
The call will be continuously open until the budget is exhausted. Generally, the proposals will be evaluated on a “first come first served” basis. At any point in time the DSI might “freeze” the allocation for some time, to keep budget for travel to events later in the year.
Proposals will be evaluated by a committee assigned by the DSI.
Venue must be a top-tier core data-science venue. Accepted venues include:
Others: based on committee’s approval of similar prominence to those in the list
The call is open to all BIU research students of DSI Members:
An applying student needs to be an active registered BIU student or PostDoc.
A DSI Faculty Member must be an advisor of the applicant, and should support the application.
Up to 3 granted awards for applications supported by the same advisor
No more than one award per student.
Grants are eligible only to authors of a main venue paper.
Budget limitations apply per paper/publication – in the case of multiple authors of a paper who are applying to the grant.
The proposal should be submitted by a student, signed and supported by the advisor.
Response will be given within 3 weeks of submitting the request. If the travel grant is approved, a budget number will be provided for the Bar-Ilan travel application form, with the allocated amount.
Submit request as soon as possible after receiving the conference acceptance notice (and in any case up to 3 weeks before submitting the travel approval form to the Gizbarut, to allow inclusion of the respective budget item for the travel grant).
Each proposal should include the following information, using the attached template file:
The publication details: Name of Venue, title of talk, abstract and names of co-authors
Travel dates (travel must take place during 2022)
Rough budget plan:
Total Budget – itemized
Indicate amount requested from DSI.
List of other funding sources (if applicable).
Names and Signatures of applicant and advisor
The proposal should be submitted to the Bar-Ilan Data Science Institute email@example.com.
Call open for continuous submission till the end of 2022, for trips incurred in 2022.
Process will follow the standard travel report process at BIU (including submitting the post-travel report for reimbursement).
Looking for researchers for an ERC Advanced Project entitled :
“Generating Voluntary Compliance Across Doctrines and Nations: Integrating the Behavioural and Regulatory Aspects of Governments’ Ability to Trust the Public’s Cooperation, Ethicality and Compliance”.
PI Prof. Yuval Feldman BIU Law Faculty
Short Description of the Project
The gains of enhancing the public’s intrinsically motivated voluntary compliance with regulations has made it an advantageous form of governance, as the recent Covid pandemic has demonstrated. However, without reliance on command and control regulation as well as coercion and sanctions is limited by the extent to which governments and regulators can trust the public voluntary cooperation without jeopardizing regulatory purposes and harming other social values. Identifying and analyzing the antecedents of effective and sustainable and trust enhancing voluntary compliance across doctrines and countries can improve our theoretical understanding of the interaction between democratic governments and their residents, as well as evaluate the relative efficacy of the different behaviorally-based regulatory tools. The project attempts to develop a new model and methodologies that will facilitate a systematic comparison and subsequently predictions of the relative efficacy and legitimacy of voluntary compliance across different legal doctrines such as tax law, environmental law public health and commercial ethics. In addition, it will explore if and to what extent VC can be achieved across high and low trust countries and communities in Europe and beyond.
The project will be based on multiple methods including, surveys, experimental surveys, incentivized lab and online experiments, panel studies, cross sectional studies, econometric studies on governmental databases and text mining.
For this project we are looking for candidates with strong quantitative methodological backgrounds coming from disciplines such as statistics, economics, public policy, psychology and political sciences . There is a need for both junior researchers (e.g. MA) and more senior researchers (e.g. Postdocs)
We are happy to share that BIU was recently granted 10.1 million NIS from Israel’s The Planning & Budgeting Committee (VATAT) for 4 data science projects in the areas of NLP, Vision, Speech and BioInformatics.
The list of projects:
AUDIENCE: Audio-Visual Analysis and Separation
Sharon Gannot, Ethan Fetaya, Jacob Goldberger (Engineering)
Learning Dynamic Vision and Language
Gal Chechik (Brain), Reut Tsarfaty, Yoav Goldberg (Computer Science)
SeqSpace: Supervised Prediction on Unstructured Data
Gur Yaari (Eng), Yoram Louzoun (Math), Omry Koren (Medicine), Sol Efroni (Life Sciences)
Language-portable NLP Infrastructure with Hebrew Data Science as a Case Study