Women in DS

second WiDS conference in Serbia on 22. April 2020.

About WiDS SU 2020

On the 22nd of April, 2020 Subotica is joining the international conference WiDS. The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. WiDS started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with 150+ regional events worldwide including a datathon (encouraging participants to hone their skills) and a podcast (featuring leaders in the field talking about their work, and their journeys).

All genders are invited to attend WiDS regional events, which feature outstanding women within the DS community. WiDS Subotica welcomes anyone with an interest in DS. The goal is to promote DS, exchange knowledge and create a DS community among women. We are fully inclusive and respectful of LGBT identities and are welcome anyone interested in the field of DS.

Our programme contains talks and workshops by data scientists and a panel discussion with women in data science focusing mainly on diversity and mentorship. The event will be hosted by Valentina Đorđević.

Valentina Đorđević is a passionate Data Science enthusiast. Her focus of studying includes time series analysis and anomaly detection techniques. As a Data Scientist at Things Solver, she’s been working on various Data Science problems coming from different business domains, from telecommunications to retail, finance and banking, where she’s dealing with forecasting, predictive maintenance, anomaly detection, segmentation, churn prediction, lead generation, lead scoring, etc. There’s nothing she loves more than sharing her knowledge, and letting it grow through the interaction with others.


The event is free, but registration is required by filling this form 👉📄


Programme

08:30 Doors open: registration and refreshments

09:00 Welcome to WiDS regional event: Introduction, Announcements

09:05 The Global WiDS opening video

09:10 Key Note Speaker: Dina Dicic

09:40 Applicative DS

11:00 Coffee break

11:10 Design, analysis and alogorithms

12:10 Data in Journalism

13:10 Lunch: poster session

14:00 Key Note Speaker: Maria Knorps

14:30 Lightning Talks

15:30 Coffee break

15:45 Work-Shops:

17:45 Students’ Presentation

18:00 Coffee break

18:15 Panel Discussion: Shifting the gender balance in STEM

19:15 Closing Talk

19:20 Informal networking: drinks and a chance to chat

20:00 The End


Speakers

Key Note Speakers

  • Dina Dicic: Data Driven Life - impact of data driven decisions in everyday life as well as your business

Dina Dicic holds a master’s degree in Mathematics from Idaho State University. She worked in academics 4 years, teaching statistics at ISU, before she transitioned to industry. She has 10 years of experience working in various industries as data analyst. Currently she is leading a Data Team and is a Senior Manager for Retail Business at GroundLink.

Using an example of fragrance industry data I will describe challenges of working with “small data”. First challenge is gathering the data in unified way. I will tell about the results of client’s questionnaires and how important is a unified methodology of conducting those experiments. Second challenge is data cleaning - decisions made at this stage have a huge impact on a success and extendibility of the project. Last but not least is modelling sparse data, where a classical train/test split is no longer available. I will present pitfalls that we fell into and how we climb up from them.

Maria Knorps is a Data Scientist creating analytics, BI and machine learning solutions from the data collection to the web development. She combines scientific background (PhD in fluid mechanics) with several years of industry experience. Maria believes that simple solutions and clean code are at the center of well-designed applications, thus the growing interest in functional programming.


Regular Talks

Nowadays, technological advances allow for large amount of information to be gathered and used for various purposes and there is an increasing need for interdisciplinarity. It is crucial that people with expertise in particular field are skilled in coding to conduct their own analysis as well as follow and monitor the work of others. This presentation will focus on application of programming in R for media policy development. The Shiny web application for data on government funding of media in Serbia will serve as an example. It will also highlight the importance of reproducibility of research that could assist in finding better legislative solutions in the media sector.

Tijana Blagojev holds a Master’s degree in Politics, Big Data and Quantitative Methods from the University of Warwick. She is also a recipient of renowned Chevening scholarship that provided her with the opportunity to study in the UK. She absolutely loves R and wants to share her knowledge with people and students in Serbia. She is a coorganiser of R-ladies Belgrade chapter.

  • Stojanka Dakić: Analysis of gender differences in the Serbian labor market

Stojanka Dakić is an assistant professor at the Faculty of Economics in Subotica, University of Novi Sad. Her fields of interest are quantitative economics, statistics and labour market. She teaches Statistics, Business Statistics and Multivariate Statistical Methods. She is an author of more than 20 scientific papers. She participates in two ERASMUS projects: PT&SCHE (Introduction of part-time and short cycle studies in Serbia: challenges and opportunities) and ADA (Advanced Data Analytics in Business).

Tijana Dragojević is Data Scientist at Things Solver. Her main responsibilities include applying data mining techniques, doing statistical analysis and building prediction models such as customer and product segmentation, classification and regression models in retail, insurance and banking. She has a Master’s degree in information systems and technology. She is enthusiastic to share her knowledge and develop skills in Data Science.

Marija Drašković … bio WiDS Zagreb 2020

  • Željana Grbović: Wheat ear automatic detection and counting in RGB and thermal images using deep learning

The number of farmers who use smart phones is increasing rapidly and furthermore RGB and thermal cameras are becoming more and more available either as smart phone gadgets or as integrated parts of the smart phone. Using them, farmers could have early information about the wheat yield. Currently, counting ears on part of a field and extrapolating the values for the whole field requires ears to be counted manually, which is prone to subjective evaluation, takes a lot of time and requires large human resources. In the case of larger fields, samples must be taken from more than one location, which additionally slows down the process. The aim of the research was to develop a system for wheat ear recognition and counting, which is necessary step for further estimation of wheat ear coverage density in the field, and yield prediction. Images of winter wheat were taken at 4 dates during the growing season and segmented manually to acquire the ground truth. Image segmentation was done using deep learning. Namely, convolutional neural networks were applied to RGB and thermal images and the results were compared to the ground truth to assess the system accuracy. Development of a comprehensive system for ear counting and yield prediction has a huge practical value for crop monitoring and optimal decision-making in wheat production.

Željana Grbović is a young researcher at BioSense Institute and PhD student in electrical engineering at the University of Novi Sad. She is highly interested in the application of machine learning algorithms and deep learning in the field of agriculture. She has expanded the field experiment on the wheat involving images from mobile phones to provide early prediction yield and automatic counted ears. Her main interests are image processing and application of transfer deep learning in plant phenotyping, food quality and safety. She is actively involved in few Horizon 2020 projects including ANTARES, Cybele and Dragon.

Aleksandra Marcikic Horvat currently works as an Assistant Professor at the Faculty of Economics in Subotica, University of Novi Sad. Her main fields of interest are Operations Research, Multi-criteria Decision Making and Forecasting. She is an author of one textbook and more than 70 scientific papers. Currently, she is engaged in the ERASMUS+ project “Advanced Data Analytics in Business - ADA”.

  • Jelena Kleut: Discourses from/on big data in journalistic practice

This presentation critically considers the role of big data in journalism, observing it from two inter-related perspectives: as news stories and discourses arising from journalistic work on big data, and as professional discourses, norms and values guiding the journalistic practice of data gathering and processing. The presentation looks into how journalists transform big data into narratives to be interpreted by the audience and in doing so how they connect digital storytelling tools with the professional journalistic cultures.

  • Agnieszka Kamińska: A secret weapon of DS projects. The importance of feature preprocessing on the example of human brain research.

Agnieszka Kamińska is a Data and Science enthusiast. In her everyday work she combines analytical and research skills with machine learning knowledge in order to provide new solutions for Product Analytics purposes in OLX Group. Having a background in Cognitive Neuroscience, she is engaged in non-commercial open science projects aimed to develop open source analytical tools for reproducible neuroimaging data science. Agnieszka believes that living in a data-driven world requires building a strong and diverse community of experts understanding the nature of big data and algorithms. She started a chapter of Women in Machine Learning & Data Science in Poland to empower women and other underrepresented people in the field.

This presentation critically considers the role of big data in journalism, observing it from two inter-related perspectives: as news stories and discourses arising from journalistic work on big data, and as professional discourses, norms and values guiding the journalistic practice of data gathering and processing. The presentation looks into how journalists transform big data into narratives to be interpreted by the audience and in doing so how they connect digital storytelling tools with the professional journalistic cultures.

  • Anđela Milivojević: How can data science help journalism in combating corruption and crime in Serbia?

Anđela Milivojević Andjela is an investigative journalist writing about corruption and crime in Serbia. She is currently a fellow of the Resonant Voices journalism program led by the Balkan Investigative Reporting Network (BIRN). For almost ten years Andjela was a part investigative team of Centre for investigative journalism of Serbia (CIJS) and since 2018 she has been working on CIJS data journalism projects: development of the database on proceedings against public officials for corruption, as well as coordinating development and implementation of an interactive data platform about failed privatizations. Andjela won three national awards for the best investigative story: in TV (2014) and online category (2011 and 2017). She was part of the CINS team that won the 2017 European Press Prize for investigative journalism. In 2018 Andjela and the team of young CINS trainees were shortlisted for 2019 Data Journalism Awards.

  • Bojana Soro: Content intelligence that informs content optimisations

Bojana Soro is the Data Analyst at Content Insights. She has a Masters in Applied Mathematics. She has studyed Financial Mathematics at the University of Novi Sad. Her field of interest is Data Science. She deals with data visualization, lab research, big data, mathematical modeling, statistics, data analysis and optimisation. Her favorite software is R and she really likes to share her experience with other people who love data science. She is a member of the R-Ladies Novi Sad chapter.

Ljubica Vujović … bio


Lightning Talks:

Aleksandra Đurović is a Research Coordinator in Belgrade Open School, an educational civil society organization from Belgrade. She coordinates implementation of research activities relevant to public policies in various fields such as education, citizens’ participation and environment. She holds a Master’s degree in Psychology from the Faculty of Philosophy at the University of Belgrade. She loves working with data and has recently become a member of the R-Ladies Belgrade chapter.

Jelena Nadj is a data scientist at Symphony, a full-stack software company with fully integrated teams that work on augmented reality, biotechnology, machine learning and more. For the past year, she has been working as a consultant data scientist in a startup where she is working on experiment design and analysis, building/deploying ML models. Previously, Jelena worked as a bioinformatics analyst at a leading biomedical data company, specializing in software and data analytics for drug discovery. She has a joint masters degree in data science from Skolkovo Institute of Science and Technology in Moscow and Massachusetts Institute of Technology.

Dragana Jovčić … bio

Jovana Savić is an experienced Business Intelligence Developer with a demonstrated history of working in the information technology and services industry. Her activities have been mainly focused on ensuring data quality throughout entire ETL process as well as using data and sophisticated analytics tools to understand customers needs and help them to reach their financial goals. She has Master’s degree in Information systems from Faculty of Organizational Sciences at the University of Belgrade. Jovana is a big R language enthusiast, a coorganiser and active member of the R-Ladies Belgrade chapter.

Jelena Slivka … bio

Radimila Velichkovich is a Data Analyst at ETK (Empowerment Through Knowledge) company for market research and data science. She works with variety of tools such as R, Python, SPSS and Power BI to analyze data from different industries. Beside the analytical part, she is involved in developing research design on a project basis. She holds a masters degree in Survey Methodology and Data Science from University of Neuchatel in Switzerland.


Students’ Presentation

The winning project at 2019 Global Competition on Design for Future Education (GCD4FE)

The future of data science application in education

Students:


Workshops

Jelena Joksimović has graduated at the Faculty of Mathematics and received her master’s degree in Mathematics (Mathematical statistics and Probability) at the University of Belgrade. She is currently PhD student at FIŠ in the field of Data Science, where she studies the dynamics of financial systems in Slovenia and globally.

After completing her undergraduate studies, she began working on a project that has grown into a successful start-up business, Uradi-zaradi. At that time, in parallel with her work on the project, she was employed in the IT sector of Banka Intesa, where she gained experience in working with big data and fell in love with data analytics and reporting. However, with the expansion of her startup Jelena takes the risk and becomes a full-time entrepreneur. Uradi-zaradi now employs other people and has a lot potential for further growth and expansion to other markets. Jelena’s current role there is focused on marketing and strategic development, business analysis and testing new ideas for improvement and problem solving.

Jelena’s love is entrepreneurship, data and sharing in general. In free time, she tries to inspire other women to create a big picture of their big potential and power in this world

Olivera Grljević is an assistant professor at the Faculty of Economics in Subotica, University of Novi Sad. Her research interests are focused on sentiment analysis, text mining and data mining. Her current research projects include application of machine learning and data mining towards the extraction of business knowledge from unstructured data and development of resources for natural language processing for the Serbian language. She has participated in 8 research projects and authored more than 50 scientific or professional papers. Her most recent publication is “The linguistic construction of sentiment expressions in student opinionated content: a corpus-based study”.


Panel Discussion: Shifting the gender balance in STEM

We will discuss how to attract more young girls into STEM programs and how to encourage women to pursue STEM careers and increase female representation in senior leadership roles.

moderator: Katarina Kosmina
Panelists:

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Photography by Igor Marinović